Ignore F401 for now as they depend on things not implemented yet.

minitorch/autodiff.py

@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from typing import Any, Iterable, List, Tuple
+from typing import Any, Iterable, List, Tuple  # noqa: F401
 
 from typing_extensions import Protocol
 

minitorch/fast_conv.py

@@ -1,13 +1,12 @@
 from typing import Tuple
 
-import numpy as np
-from numba import njit, prange
+import numpy as np  # noqa: F401
+from numba import njit, prange  # noqa: F401
 
 from .autodiff import Context
 from .tensor import Tensor
+from .tensor_data import MAX_DIMS, Index  # noqa: F401
 from .tensor_data import (
-    MAX_DIMS,
-    Index,
     Shape,
     Strides,
     broadcast_index,

minitorch/fast_ops.py

@@ -2,11 +2,12 @@
 
 from typing import TYPE_CHECKING
 
-import numpy as np
-from numba import njit, prange
+import numpy as np  # noqa: F401
+from numba import njit
+from numba import prange  # noqa: F401
 
+from .tensor_data import MAX_DIMS  # noqa: F401
 from .tensor_data import (
-    MAX_DIMS,
     broadcast_index,
     index_to_position,
     shape_broadcast,
@@ -18,7 +19,8 @@
     from typing import Callable, Optional
 
     from .tensor import Tensor
-    from .tensor_data import Index, Shape, Storage, Strides
+    from .tensor_data import Index  # noqa: F401
+    from .tensor_data import Shape, Storage, Strides
 
 # TIP: Use `NUMBA_DISABLE_JIT=1 pytest tests/ -m task3_1` to run these tests without JIT.
 

minitorch/nn.py

@@ -4,7 +4,7 @@
 from .autodiff import Context
 from .fast_ops import FastOps
 from .tensor import Tensor
-from .tensor_functions import Function, rand, tensor
+from .tensor_functions import Function, rand, tensor  # noqa: F401
 
 
 def tile(input: Tensor, kernel: Tuple[int, int]) -> Tuple[Tensor, int, int]:

minitorch/scalar.py

@@ -6,18 +6,18 @@
 import numpy as np
 
 from .autodiff import Context, Variable, backpropagate, central_difference
+from .scalar_functions import EQ  # noqa: F401
+from .scalar_functions import LT  # noqa: F401
+from .scalar_functions import Add  # noqa: F401
+from .scalar_functions import Exp  # noqa: F401
+from .scalar_functions import Log  # noqa: F401
+from .scalar_functions import Neg  # noqa: F401
+from .scalar_functions import ReLU  # noqa: F401
+from .scalar_functions import Sigmoid  # noqa: F401
 from .scalar_functions import (
-    EQ,
-    LT,
-    Add,
-    Exp,
     Inv,
-    Log,
     Mul,
-    Neg,
-    ReLU,
     ScalarFunction,
-    Sigmoid,
 )
 
 ScalarLike = Union[float, int, "Scalar"]

minitorch/tensor_ops.py

@@ -2,21 +2,22 @@
 
 from typing import TYPE_CHECKING, Callable, Optional, Type
 
-import numpy as np
+import numpy as np  # noqa: F401
 from typing_extensions import Protocol
 
 from . import operators
+from .tensor_data import MAX_DIMS  # noqa: F401
+from .tensor_data import broadcast_index  # noqa: F401
+from .tensor_data import index_to_position  # noqa: F401
+from .tensor_data import to_index  # noqa: F401
 from .tensor_data import (
-    MAX_DIMS,
-    broadcast_index,
-    index_to_position,
     shape_broadcast,
-    to_index,
 )
 
 if TYPE_CHECKING:
     from .tensor import Tensor
-    from .tensor_data import Index, Shape, Storage, Strides
+    from .tensor_data import Index  # noqa: F401
+    from .tensor_data import Shape, Storage, Strides
 
 
 class MapProto(Protocol):

project/interface/mlprimer.py

@@ -1,11 +1,11 @@
 import random
 
 import chalk as ch
+from chalk import path  # noqa: F401
 from chalk import (
     Trail,
     empty,
     make_path,
-    path,
     place_on_path,
     rectangle,
     unit_x,

project/run_manual.py

@@ -2,6 +2,7 @@
 Be sure you have minitorch installed in you Virtual Env.
 >>> pip install -Ue .
 """
+
 import random
 
 import minitorch

project/run_scalar.py

@@ -2,6 +2,7 @@
 Be sure you have minitorch installed in you Virtual Env.
 >>> pip install -Ue .
 """
+
 import random
 
 import minitorch

tests/test_operators.py

@@ -5,6 +5,7 @@
 from hypothesis.strategies import lists
 
 from minitorch import MathTest
+from minitorch.operators import sigmoid  # noqa: F401
 from minitorch.operators import (
     add,
     addLists,
@@ -21,7 +22,6 @@
     prod,
     relu,
     relu_back,
-    sigmoid,
     sum,
 )