bool is a subclass of int

Author: crusaderky

array_api_compat/common/_aliases.py

@@ -67,7 +67,7 @@ def eye(
 
 def full(
     shape: Union[int, Tuple[int, ...]],
-    fill_value: bool | complex,
+    fill_value: complex,
     xp: Namespace,
     *,
     dtype: Optional[DType] = None,
@@ -80,7 +80,7 @@ def full(
 def full_like(
     x: Array,
     /,
-    fill_value: bool | complex,
+    fill_value: complex,
     *,
     xp: Namespace,
     dtype: Optional[DType] = None,

array_api_compat/cupy/_aliases.py

@@ -66,8 +66,7 @@
 
 # asarray also adds the copy keyword, which is not present in numpy 1.0.
 def asarray(
-    obj: Array | bool | complex | NestedSequence[bool | complex] 
-         | SupportsBufferProtocol,
+    obj: Array | complex | NestedSequence[complex] | SupportsBufferProtocol,
     /,
     *,
     dtype: Optional[DType] = None,

array_api_compat/dask/array/_aliases.py

@@ -135,8 +135,7 @@ def arange(
 
 # asarray also adds the copy keyword, which is not present in numpy 1.0.
 def asarray(
-    obj: Array | bool | complex | NestedSequence[bool | complex] 
-         | SupportsBufferProtocol,
+    obj: Array | complex | NestedSequence[complex] | SupportsBufferProtocol,
     /,
     *,
     dtype: Optional[DType] = None,

array_api_compat/numpy/_aliases.py

@@ -73,8 +73,7 @@ def _supports_buffer_protocol(obj):
 # complicated enough that it's easier to define it separately for each module
 # rather than trying to combine everything into one function in common/
 def asarray(
-    obj: Array | bool | complex | NestedSequence[bool | complex] 
-         | SupportsBufferProtocol,
+    obj: Array | complex | NestedSequence[complex] | SupportsBufferProtocol,
     /,
     *,
     dtype: Optional[DType] = None,

array_api_compat/torch/_aliases.py

@@ -116,7 +116,7 @@ def _fix_promotion(x1, x2, only_scalar=True):
 _py_scalars = (bool, int, float, complex)
 
 
-def result_type(*arrays_and_dtypes: Array | DType | bool | complex) -> DType:
+def result_type(*arrays_and_dtypes: Array | DType | complex) -> DType:
     if len(arrays_and_dtypes) == 0:
         raise TypeError("At least one array or dtype must be provided")
     if len(arrays_and_dtypes) == 1:
@@ -602,7 +602,7 @@ def linspace(start: Union[int, float],
 # torch.full does not accept an int size
 # https://github.com/pytorch/pytorch/issues/70906
 def full(shape: Union[int, Tuple[int, ...]],
-         fill_value: bool | complex,
+         fill_value: complex,
          *,
          dtype: Optional[DType] = None,
          device: Optional[Device] = None,