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🩹 fix a numtype regression in some random.Generator methods #27

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Merged
jorenham merged 1 commit into from
Feb 4, 2025
Merged

🩹 fix a numtype regression in some random.Generator methods #27

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68 changes: 54 additions & 14 deletions src/numpy-stubs/random/_generator.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,7 @@ from numpy._typing import (
_Int32Codes,
_Int64Codes,
_IntCodes,
_NestedSequence,
_ShapeLike,
_SingleCodes,
_UInt8Codes,
Expand All @@ -48,6 +49,7 @@ _ToRNG: TypeAlias = (
| np.integer
| np.timedelta64
| NDArray[np.integer | np.timedelta64 | np.flexible | np.object_]
| _NestedSequence[int]
| SeedSequence
| BitGenerator[Any]
| Generator
Expand Down Expand Up @@ -158,16 +160,16 @@ class Generator:
#
@overload
def random(self, /, size: None = None, dtype: _DTypeLikeFloat = ..., out: None = None) -> float: ...
@overload
def random(
@overload # mypy false positives
def random( # type: ignore[overload-overlap]
self,
/,
size: _ShapeLike | None = None,
dtype: _DTypeLikeFloat64 = ...,
*,
out: NDArray[np.float64],
) -> NDArray[np.float64]: ...
@overload # mypy false positive
@overload
def random( # type: ignore[overload-overlap]
self,
/,
Expand All @@ -176,12 +178,21 @@ class Generator:
out: NDArray[np.float64] | None = None,
) -> NDArray[np.float64]: ...
@overload
def random(
self,
/,
size: _ShapeLike | None = None,
dtype: _DTypeLikeFloat32 = ...,
*,
out: NDArray[np.float32],
) -> NDArray[np.float32]: ...
@overload
def random(
self,
/,
size: _ShapeLike,
dtype: _DTypeLikeFloat32,
out: None = None,
out: NDArray[np.float32] | None = None,
) -> NDArray[np.float32]: ...

#
Expand Down Expand Up @@ -253,8 +264,8 @@ class Generator:
method: _ExpMethod = "zig",
out: None = None,
) -> float: ...
@overload
def standard_exponential(
@overload # mypy false positive
def standard_exponential( # type: ignore[overload-overlap]
self,
/,
size: _ShapeLike | None = None,
Expand All @@ -263,7 +274,7 @@ class Generator:
*,
out: NDArray[np.float64],
) -> NDArray[np.float64]: ...
@overload # mypy false positive
@overload
def standard_exponential( # type: ignore[overload-overlap]
self,
/,
Expand All @@ -273,13 +284,23 @@ class Generator:
out: NDArray[np.float64] | None = None,
) -> NDArray[np.float64]: ...
@overload
def standard_exponential(
self,
/,
size: _ShapeLike | None = None,
dtype: _DTypeLikeFloat32 = ...,
method: _ExpMethod = "zig",
*,
out: NDArray[np.float32],
) -> NDArray[np.float32]: ...
@overload
def standard_exponential(
self,
/,
size: _ShapeLike,
dtype: _DTypeLikeFloat32,
method: _ExpMethod = "zig",
out: None = None,
out: NDArray[np.float32] | None = None,
) -> NDArray[np.float32]: ...

#
Expand Down Expand Up @@ -427,7 +448,7 @@ class Generator:
@overload
def standard_normal(self, /, size: None = None, dtype: _DTypeLikeFloat = ..., out: None = None) -> float: ...
@overload
def standard_normal(
def standard_normal( # type: ignore[overload-overlap]
self,
/,
size: _ShapeLike | None = None,
Expand All @@ -444,12 +465,21 @@ class Generator:
out: NDArray[np.float64] | None = None,
) -> NDArray[np.float64]: ...
@overload
def standard_normal(
self,
/,
size: _ShapeLike | None = ...,
dtype: _DTypeLikeFloat32 = ...,
*,
out: NDArray[np.float32],
) -> NDArray[np.float32]: ...
@overload
def standard_normal(
self,
/,
size: _ShapeLike,
dtype: _DTypeLikeFloat32,
out: None = None,
out: NDArray[np.float32] | None = None,
) -> NDArray[np.float32]: ...

#
Expand Down Expand Up @@ -536,8 +566,8 @@ class Generator:
dtype: _DTypeLikeFloat = ...,
out: None = None,
) -> float: ...
@overload
def standard_gamma(
@overload # mypy false positives
def standard_gamma( # type: ignore[overload-overlap]
self,
/,
shape: _ArrayLikeFloat_co,
Expand All @@ -546,7 +576,7 @@ class Generator:
*,
out: NDArray[np.float64],
) -> NDArray[np.float64]: ...
@overload # mypy false positives
@overload
def standard_gamma( # type: ignore[overload-overlap]
self,
/,
Expand All @@ -571,7 +601,17 @@ class Generator:
shape: _ArrayLikeFloat_co,
size: _ShapeLike,
dtype: _DTypeLikeFloat32,
out: None = None,
out: NDArray[np.float32] | None = None,
) -> NDArray[np.float32]: ...
@overload
def standard_gamma(
self,
/,
shape: _ArrayLikeFloat_co,
size: _ShapeLike | None = None,
*,
dtype: _DTypeLikeFloat32,
out: NDArray[np.float32],
) -> NDArray[np.float32]: ...
@overload
def standard_gamma(
Expand Down