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TYP: preserve shape-type in ndarray.astype() #28177

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Merged
merged 1 commit into from
Jan 17, 2025
Merged

TYP: preserve shape-type in ndarray.astype() #28177

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4 changes: 2 additions & 2 deletions 4 numpy/__init__.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -2500,7 +2500,7 @@ class ndarray(_ArrayOrScalarCommon, Generic[_ShapeT_co, _DType_co]):
casting: _CastingKind = ...,
subok: builtins.bool = ...,
copy: builtins.bool | _CopyMode = ...,
) -> NDArray[_SCT]: ...
) -> ndarray[_ShapeT_co, dtype[_SCT]]: ...
@overload
def astype(
self,
Expand All @@ -2509,7 +2509,7 @@ class ndarray(_ArrayOrScalarCommon, Generic[_ShapeT_co, _DType_co]):
casting: _CastingKind = ...,
subok: builtins.bool = ...,
copy: builtins.bool | _CopyMode = ...,
) -> NDArray[Any]: ...
) -> ndarray[_ShapeT_co, dtype[Any]]: ...

@overload
def view(self) -> Self: ...
Expand Down
8 changes: 4 additions & 4 deletions 8 numpy/_core/numeric.pyi
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Expand Up @@ -872,15 +872,15 @@ def array_equiv(a1: ArrayLike, a2: ArrayLike) -> bool: ...

@overload
def astype(
x: NDArray[Any],
x: ndarray[_ShapeType, dtype[Any]],
dtype: _DTypeLike[_SCT],
copy: bool = ...,
device: None | L["cpu"] = ...,
) -> NDArray[_SCT]: ...
) -> ndarray[_ShapeType, dtype[_SCT]]: ...
@overload
def astype(
x: NDArray[Any],
x: ndarray[_ShapeType, dtype[Any]],
dtype: DTypeLike,
copy: bool = ...,
device: None | L["cpu"] = ...,
) -> NDArray[Any]: ...
) -> ndarray[_ShapeType, dtype[Any]]: ...
8 changes: 8 additions & 0 deletions 8 numpy/typing/tests/data/reveal/ndarray_conversion.pyi
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Expand Up @@ -11,6 +11,7 @@ i4_2d: np.ndarray[tuple[int, int], np.dtype[np.int32]]
f8_3d: np.ndarray[tuple[int, int, int], np.dtype[np.float64]]
cG_4d: np.ndarray[tuple[int, int, int, int], np.dtype[np.clongdouble]]
i0_nd: npt.NDArray[np.int_]
uncertain_dtype: np.int32 | np.float64 | np.str_

# item
assert_type(i0_nd.item(), int)
Expand Down Expand Up @@ -50,6 +51,13 @@ assert_type(i0_nd.astype(np.float64, "K", "unsafe", True, True), npt.NDArray[np.

assert_type(np.astype(i0_nd, np.float64), npt.NDArray[np.float64])

assert_type(i4_2d.astype(np.uint16), np.ndarray[tuple[int, int], np.dtype[np.uint16]])
assert_type(np.astype(i4_2d, np.uint16), np.ndarray[tuple[int, int], np.dtype[np.uint16]])
assert_type(f8_3d.astype(np.int16), np.ndarray[tuple[int, int, int], np.dtype[np.int16]])
assert_type(np.astype(f8_3d, np.int16), np.ndarray[tuple[int, int, int], np.dtype[np.int16]])
assert_type(i4_2d.astype(uncertain_dtype), np.ndarray[tuple[int, int], np.dtype[np.generic[Any]]])
assert_type(np.astype(i4_2d, uncertain_dtype), np.ndarray[tuple[int, int], np.dtype[Any]])

# byteswap
assert_type(i0_nd.byteswap(), npt.NDArray[np.int_])
assert_type(i0_nd.byteswap(True), npt.NDArray[np.int_])
Expand Down
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