Data set of optimal circuits for Boolean functions that have low arity.
This library is available as a package on PyPI:
python -m pip install circuitdb
The library can be imported in the usual ways:
import circuitdb from circuitdb import circuitdb
This library provides a database that contains an (arbitrary but fixed) example of the smallest possible logical circuit (in terms of the number of unary and/or binary gates) for each possible logical function (from a finite set of functions). This library represents logical functions using tuples, in accordance with the conventions of the logical class defined in the logical library. In the example below, a circuit is retrieved for the function f (x, y, z) = x and y and z corresponding to the truth table (0, 0, 0, 0, 0, 0, 0, 1). Retrieved circuits are represented as instances of the circuit class defined in the circuit library; in the example below, the to_legible method of the circuit's gate list is used to retrieve a human-readable representation of the circuit:
>>> from circuitdb import circuitdb
>>> c = circuitdb((0, 0, 0, 0, 0, 0, 0, 1))
>>> c.gate.to_legible() # Use method belonging to circuit object's gate list to inspect the circuit.
(('id',), ('id',), ('id',), ('and', 0, 1), ('and', 2, 3), ('id', 4))
The human-readable representation of the circuit above consists of a list of unary and binary gates. Each gate is represented as a tuple. The first entry in each gate tuple is the name of the logical function corresponding to that gate. The remaining entries in the gate tuple are the indices of the input gates to that gate. For example, the entry ('and', 2, 3) represents a gate that is a conjunction of the gates that have indices 2 and 3 in the overall list of gates. In accordance with the requirements of the circuit class, the three inputs are represented using identity gates that have no input indices.
For any given logical function, it is possible to construct a corresponding circuit using a variety of gate sets. For each function, the database contains an example of a smallest circuit for each of a small collection of sets of unary and binary gates. In the remaining examples below, circuits for the function (0, 0, 1, 0, 0, 0, 0, 1) are retrieved. All gates in the circuit retrieved below can be found in the set {logical.id_, logical.not_, logical.and_, logical.or_}:
>>> from logical import logical
>>> c = circuitdb(
... (0, 0, 1, 0, 0, 0, 0, 1),
... frozenset([logical.id_, logical.not_, logical.and_, logical.or_])
... )
>>> c.gate.to_legible()
(('id',), ('id',), ('id',), ('and', 0, 2), ('or', 0, 2), ('not', 4), ('or', 3, 5), ('and', 1, 6), ('id', 7))
On the other hand, all gates in the circuit retrieved below can be found in the set {logical.id_, logical.not_, logical.and_, logical.xor_}:
>>> circuitdb(
... (0, 0, 1, 0, 0, 0, 0, 1),
... frozenset([logical.id_, logical.not_, logical.and_, logical.xor_])
... ).gate.to_legible()
(('id',), ('id',), ('id',), ('not', 0), ('xor', 2, 3), ('and', 1, 4), ('id', 5))
By default (or if the set of all gates logical.every is specified), a smallest circuit that can be built using any combination of unary or binary gates is returned:
>>> circuitdb((0, 0, 1, 0, 0, 0, 0, 1)).gate.to_legible()
(('id',), ('id',), ('id',), ('xor', 0, 2), ('nimp', 1, 3), ('id', 4))
All installation and development dependencies are fully specified in pyproject.toml. The project.optional-dependencies object is used to specify optional requirements for various development tasks. This makes it possible to specify additional options (such as docs, lint, and so on) when performing installation using pip:
python -m pip install .[docs,lint]
The documentation can be generated automatically from the source files using Sphinx:
python -m pip install .[docs] cd docs sphinx-apidoc -f -E --templatedir=_templates -o _source .. && make html
All doctest unit tests are executed and their coverage is measured when using pytest (see the pyproject.toml file for configuration details):
python -m pip install .[test] python -m pytest
Style conventions are enforced using Pylint:
python -m pip install .[lint] python -m pylint src/circuitdb
In order to contribute to the source code, open an issue or submit a pull request on the GitHub page for this library.
The version number format for this library and the changes to the library associated with version number increments conform with Semantic Versioning 2.0.0.
This library can be published as a package on PyPI by a package maintainer. First, install the dependencies required for packaging and publishing:
python -m pip install .[publish]
Ensure that the correct version number appears in pyproject.toml, and that any links in this README document to the Read the Docs documentation of this package (or its dependencies) have appropriate version numbers. Also ensure that the Read the Docs project for this library has an automation rule that activates and sets as the default all tagged versions. Create and push a tag for this version (replacing ?.?.? with the version number):
git tag ?.?.? git push origin ?.?.?
Remove any old build/distribution files. Then, package the source into a distribution archive using the wheel package:
rm -rf build dist src/*.egg-info python -m build --sdist --wheel .
Finally, upload the package distribution archive to PyPI using the twine package:
python -m twine upload dist/*