Fix some linter issues

Original NumPy Commit: 8e2af026d9ee4fe919f77ec52a86ddc2de55705f

Author: asmeurer

array_api_strict/_array_object.py

@@ -45,6 +45,7 @@
 class _cpu_device:
     def __repr__(self):
         return "CPU_DEVICE"
+
 CPU_DEVICE = _cpu_device()
 
 class Array:
@@ -186,6 +187,7 @@ def _promote_scalar(self, scalar):
         TypeError when the scalar type is incompatible with the dtype of self.
         """
         from ._data_type_functions import iinfo
+
         # Note: Only Python scalar types that match the array dtype are
         # allowed.
         if isinstance(scalar, bool):

array_api_strict/_creation_functions.py

@@ -19,7 +19,7 @@
 
 def _check_valid_dtype(dtype):
     # Note: Only spelling dtypes as the dtype objects is supported.
-    if not dtype in (None,) + _all_dtypes:
+    if dtype not in (None,) + _all_dtypes:
         raise ValueError("dtype must be one of the supported dtypes")
 
 

array_api_strict/_dtypes.py

@@ -18,11 +18,15 @@ def __eq__(self, other):
         # Avoid the user error of array_api_strict.float32 == numpy.float32,
         # which gives False. Making == error is probably too egregious, so
         # warn instead.
-        if isinstance(other, np.dtype) or (isinstance(other, type) and issubclass(other, np.generic)):
-            warnings.warn("""You are comparing a array_api_strict dtype against \
+        if isinstance(other, np.dtype) or (
+            isinstance(other, type) and issubclass(other, np.generic)
+        ):
+            warnings.warn(
+                """You are comparing a array_api_strict dtype against \
 a NumPy native dtype object, but you probably don't want to do this. \
-array_api_strict dtype objects compare unequal to their NumPy equivalents. Such \
-cross-library comparison is not supported by the standard.""")
+array_api_strict dtype objects compare unequal to their NumPy equivalents. \
+Such cross-library comparison is not supported by the standard."""
+            )
         if not isinstance(other, _DType):
             return NotImplemented
         return self._np_dtype == other._np_dtype
@@ -34,6 +38,7 @@ def __hash__(self):
         # can be used as dict keys.
         return hash(self._np_dtype)
 
+
 int8 = _DType("int8")
 int16 = _DType("int16")
 int32 = _DType("int32")

array_api_strict/_typing.py

@@ -38,9 +38,10 @@ class NestedSequence(Protocol[_T_co]):
     def __getitem__(self, key: int, /) -> _T_co | NestedSequence[_T_co]: ...
     def __len__(self, /) -> int: ...
 
+
 Device = _cpu_device
 
-Dtype =_DType
+Dtype = _DType
 
 if sys.version_info >= (3, 12):
     from collections.abc import Buffer as SupportsBufferProtocol

array_api_strict/linalg.py

@@ -6,7 +6,7 @@
     float32,
     float64,
     complex64,
-    complex128
+    complex128,
 )
 from ._data_type_functions import finfo
 from ._manipulation_functions import reshape

array_api_strict/tests/test_indexing_functions.py

@@ -6,7 +6,7 @@
 @pytest.mark.parametrize(
     "x, indices, axis, expected",
     [
-        ([2, 3], [1, 1, 0], 0,  [3, 3, 2]),
+        ([2, 3], [1, 1, 0], 0, [3, 3, 2]),
         ([2, 3], [1, 1, 0], -1, [3, 3, 2]),
         ([[2, 3]], [1], -1, [[3]]),
         ([[2, 3]], [0, 0], 0, [[2, 3], [2, 3]]),