Merge pull request #1 from dantp-ai/solution/task-0-1

Implement basic operators

minitorch/operators.py

@@ -13,25 +13,25 @@
 def mul(x: float, y: float) -> float:
     "$f(x, y) = x * y$"
     # TODO: Implement for Task 0.1.
-    raise NotImplementedError('Need to implement for Task 0.1')
+    return x * y
 
 
 def id(x: float) -> float:
     "$f(x) = x$"
     # TODO: Implement for Task 0.1.
-    raise NotImplementedError('Need to implement for Task 0.1')
+    return x
 
 
 def add(x: float, y: float) -> float:
     "$f(x, y) = x + y$"
     # TODO: Implement for Task 0.1.
-    raise NotImplementedError('Need to implement for Task 0.1')
+    return x + y
 
 
 def neg(x: float) -> float:
     "$f(x) = -x$"
     # TODO: Implement for Task 0.1.
-    raise NotImplementedError('Need to implement for Task 0.1')
+    return -x
 
 
 def lt(x: float, y: float) -> float:
@@ -49,13 +49,16 @@ def eq(x: float, y: float) -> float:
 def max(x: float, y: float) -> float:
     "$f(x) =$ x if x is greater than y else y"
     # TODO: Implement for Task 0.1.
-    raise NotImplementedError('Need to implement for Task 0.1')
+    return x if x >= y else y
 
 
 def is_close(x: float, y: float) -> float:
     "$f(x) = |x - y| < 1e-2$"
     # TODO: Implement for Task 0.1.
-    raise NotImplementedError('Need to implement for Task 0.1')
+    if x >= y:
+        return x - y <= 1e-2
+    else:
+        return y - x <= 1e-2
 
 
 def sigmoid(x: float) -> float:
@@ -106,7 +109,8 @@ def log_back(x: float, d: float) -> float:
 def inv(x: float) -> float:
     "$f(x) = 1/x$"
     # TODO: Implement for Task 0.1.
-    raise NotImplementedError('Need to implement for Task 0.1')
+    if x != 0.:
+        return 1 / x
 
 
 def inv_back(x: float, d: float) -> float: