TYP: add type-tests for mixed-integer shape-types in array constructors

Author: jorenham

numpy/typing/tests/data/reveal/array_constructors.pyi

@@ -1,5 +1,5 @@
 import sys
-from typing import Any, Literal as L, TypeVar
+from typing import Any, TypeVar
 from pathlib import Path
 from collections import deque
 
@@ -19,6 +19,8 @@ B: SubClass[np.float64]
 C: list[int]
 D: SubClass[np.float64 | np.int64]
 
+mixed_shape: tuple[int, np.int64]
+
 def func(i: int, j: int, **kwargs: Any) -> SubClass[np.float64]: ...
 
 assert_type(np.empty_like(A), npt.NDArray[np.float64])
@@ -43,10 +45,12 @@ assert_type(np.array(D), npt.NDArray[np.float64 | np.int64])
 assert_type(np.zeros([1, 5, 6]), npt.NDArray[np.float64])
 assert_type(np.zeros([1, 5, 6], dtype=np.int64), npt.NDArray[np.int64])
 assert_type(np.zeros([1, 5, 6], dtype='c16'), npt.NDArray[Any])
+assert_type(np.zeros(mixed_shape), npt.NDArray[np.float64])
 
 assert_type(np.empty([1, 5, 6]), npt.NDArray[np.float64])
 assert_type(np.empty([1, 5, 6], dtype=np.int64), npt.NDArray[np.int64])
 assert_type(np.empty([1, 5, 6], dtype='c16'), npt.NDArray[Any])
+assert_type(np.empty(mixed_shape), npt.NDArray[np.float64])
 
 assert_type(np.concatenate(A), npt.NDArray[np.float64])
 assert_type(np.concatenate([A, A]), npt.NDArray[Any])
@@ -182,6 +186,7 @@ assert_type(np.ones(_shape_1d, dtype=np.int64), np.ndarray[tuple[int], np.dtype[
 assert_type(np.ones(_shape_like), npt.NDArray[np.float64])
 assert_type(np.ones(_shape_like, dtype=np.dtypes.Int64DType()), np.ndarray[Any, np.dtypes.Int64DType])
 assert_type(np.ones(_shape_like, dtype=int), npt.NDArray[Any])
+assert_type(np.ones(mixed_shape), npt.NDArray[np.float64])
 
 assert_type(np.full(_size, i8), np.ndarray[tuple[int], np.dtype[np.int64]])
 assert_type(np.full(_shape_2d, i8), np.ndarray[tuple[int, int], np.dtype[np.int64]])