TYP: Type annotations overhaul, part 2 (#291)

Author: crusaderky

Diff for: array_api_compat/common/_aliases.py

@@ -73,7 +73,7 @@ def eye(
 
 def full(
     shape: Union[int, Tuple[int, ...]],
-    fill_value: complex,
+    fill_value: bool | int | float | complex,
     xp: Namespace,
     *,
     dtype: Optional[DType] = None,
@@ -86,7 +86,7 @@ def full(
 def full_like(
     x: Array,
     /,
-    fill_value: complex,
+    fill_value: bool | int | float | complex,
     *,
     xp: Namespace,
     dtype: Optional[DType] = None,

Diff for: array_api_compat/cupy/_aliases.py

@@ -68,7 +68,10 @@
 # asarray also adds the copy keyword, which is not present in numpy 1.0.
 def asarray(
     obj: (
-        Array | bool | complex | NestedSequence[bool | complex] | SupportsBufferProtocol
+        Array 
+        | bool | int | float | complex 
+        | NestedSequence[bool | int | float | complex] 
+        | SupportsBufferProtocol
     ),
     /,
     *,

Diff for: array_api_compat/dask/array/_aliases.py

@@ -136,7 +136,10 @@ 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
+        Array 
+        | bool | int | float | complex 
+        | NestedSequence[bool | int | float | complex] 
+        | SupportsBufferProtocol
     ),
     /,
     *,

Diff for: array_api_compat/numpy/_aliases.py

@@ -77,7 +77,10 @@ def _supports_buffer_protocol(obj):
 # rather than trying to combine everything into one function in common/
 def asarray(
     obj: (
-        Array | bool | complex | NestedSequence[bool | complex] | SupportsBufferProtocol
+        Array 
+        | bool | int | float | complex 
+        | NestedSequence[bool | int | float | complex] 
+        | SupportsBufferProtocol
     ),
     /,
     *,

Diff for: array_api_compat/torch/_aliases.py

@@ -116,7 +116,9 @@ def _fix_promotion(x1, x2, only_scalar=True):
 _py_scalars = (bool, int, float, complex)
 
 
-def result_type(*arrays_and_dtypes: Array | DType | complex) -> DType:
+def result_type(
+    *arrays_and_dtypes: Array | DType | bool | int | float | complex
+) -> DType:
     num = len(arrays_and_dtypes)
 
     if num == 0:
@@ -550,10 +552,16 @@ def count_nonzero(
         return result
 
 
-def where(condition: Array, x1: Array, x2: Array, /) -> Array:
+def where(
+    condition: Array, 
+    x1: Array | bool | int | float | complex, 
+    x2: Array | bool | int | float | complex,
+    /,
+) -> Array:
     x1, x2 = _fix_promotion(x1, x2)
     return torch.where(condition, x1, x2)
 
+
 # torch.reshape doesn't have the copy keyword
 def reshape(x: Array,
             /,
@@ -622,7 +630,7 @@ 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: complex,
+         fill_value: bool | int | float | complex,
          *,
          dtype: Optional[DType] = None,
          device: Optional[Device] = None,

Diff for: array_api_compat/torch/linalg.py

@@ -85,7 +85,7 @@ def vector_norm(
     axis: Optional[Union[int, Tuple[int, ...]]] = None,
     keepdims: bool = False,
     # float stands for inf | -inf, which are not valid for Literal
-    ord: Union[int, float, float] = 2,
+    ord: Union[int, float] = 2,
     **kwargs,
 ) -> Array:
     # torch.vector_norm incorrectly treats axis=() the same as axis=None