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Merged
jorenham merged 4 commits into from
Mar 4, 2025
Merged

🏷️ stub the missing submodules of numpy.linalg #248

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9dda370
🏷️ fix stubtest errors in `numpy.linalg._linalg`
jorenham Mar 4, 2025
1153db7
🏷️ stub `numpy.linalg.linalg` (deprecated)
jorenham Mar 4, 2025
cd27c27
🏷️ stub `numpy.linalg.lapack_lite`
jorenham Mar 4, 2025
277af03
🏷️ stub `numpy.linalg._umath_linalg`
jorenham Mar 4, 2025
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31 changes: 11 additions & 20 deletions .mypyignore-todo
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Original file line number Diff line number Diff line change
Expand Up @@ -8,17 +8,24 @@ numpy(\..+)?\.floating.as_integer_ratio
numpy(\..+)?\.complexfloating.__hash__
numpy(\..+)?\.complexfloating.__complex__

numpy(\.lib\._polynomial_impl|\.matlib)?\.poly1d\.integ

numpy._globals._CopyMode.IF_NEEDED
numpy._globals._CopyMode.__bool__

numpy._pyinstaller.hook-numpy

numpy.compat
numpy.compat.py3k

numpy._pyinstaller.hook-numpy
numpy.ctypeslib._ctypeslib
numpy.fft.helper

numpy(\.lib\._polynomial_impl|\.matlib)?\.poly1d\.integ
numpy.lib(._arrayterator_impl)?.Arrayterator.__array__
numpy.lib.(_array_utils_impl|array_utils).normalize_axis_tuple
numpy.lib._iotools.NameValidator.defaultdeletechars
numpy.lib.format.open_memmap
numpy.lib.format.read_array(_header_(1|2)_0)?
numpy.lib.mixins.NDArrayOperatorsMixin.__array_ufunc__
numpy.lib.recfunctions.unstructured_to_structured

numpy.distutils

Expand All @@ -34,22 +41,6 @@ numpy.f2py.crackfortran
numpy.f2py.symbolic
numpy.f2py.((cb|common|f90mod|use)_)?rules

numpy.fft.helper

numpy.lib(._arrayterator_impl)?.Arrayterator.__array__
numpy.lib.(_array_utils_impl|array_utils).normalize_axis_tuple
numpy.lib._iotools.NameValidator.defaultdeletechars
numpy.lib.format.open_memmap
numpy.lib.format.read_array(_header_(1|2)_0)?
numpy.lib.mixins.NDArrayOperatorsMixin.__array_ufunc__
numpy.lib.recfunctions.unstructured_to_structured

numpy.linalg(._linalg)?.cholesky
numpy.linalg(._linalg)?.pinv
numpy.linalg(._linalg)?.tensordot
numpy.linalg.lapack_lite
numpy.linalg.linalg

numpy.ma.testutils
numpy.ma.timer_comparison
numpy.ma.core._convert2ma.__doc__
Expand Down
153 changes: 142 additions & 11 deletions src/numpy-stubs/_typing/_ufunc.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -75,10 +75,6 @@ class _Kwargs3(_KwargsCommon, total=False):
where: _ArrayLikeBool_co | None
signature: _Tuple3[DTypeLike] | str | None

@type_check_only
class _Kwargs3_g(_KwargsCommon, total=False):
signature: _Tuple3[DTypeLike] | str | None

@type_check_only
class _Kwargs4(_KwargsCommon, total=False):
where: _ArrayLikeBool_co | None
Expand All @@ -94,6 +90,18 @@ class _Kwargs4_(_KwargsCommon, total=False):
where: _ArrayLikeBool_co | None
signature: _Tuple4_[DTypeLike] | str | None

@type_check_only
class _Kwargs2_g(_KwargsCommon, total=False):
signature: _Tuple2[DTypeLike] | str | None
axes: Sequence[_Tuple2[SupportsIndex]]
axis: SupportsIndex

@type_check_only
class _Kwargs3_g(_KwargsCommon, total=False):
signature: _Tuple3[DTypeLike] | str | None
axes: Sequence[_Tuple2[SupportsIndex]]
axis: SupportsIndex

###
# ufunc method signatures

Expand Down Expand Up @@ -592,9 +600,119 @@ class _Call22(Protocol):
**kwds: Unpack[_Kwargs4],
) -> _Tuple2[Any]: ...

@type_check_only
class _Call11_g(Protocol):
@overload
def __call__(
self,
x: ArrayLike,
/,
out: _Out1[_ArrayT],
*,
dtype: None = None,
**kwds: Unpack[_Kwargs2_g],
) -> _ArrayT: ...
@overload
def __call__(
self,
x: ArrayLike,
/,
out: _Out1[_AnyArray | None] = None,
*,
dtype: DTypeLike | None = None,
**kwds: Unpack[_Kwargs2_g],
) -> Any: ...

@type_check_only
class _Call12_g(Protocol):
@overload
def __call__(
self,
x: ArrayLike,
out1: None = None,
out2: None = None,
/,
out: _Tuple2[None] = (None, None),
*,
dtype: DTypeLike | None = None,
**kwds: Unpack[_Kwargs3_g],
) -> tuple[Any, Any]: ...
@overload
def __call__(
self,
x: ArrayLike,
out1: None = None,
out2: None = None,
/,
*,
out: tuple[None, _ArrayT2],
dtype: None = None,
**kwds: Unpack[_Kwargs3_g],
) -> tuple[Any, _ArrayT2]: ...
@overload
def __call__(
self,
x: ArrayLike,
out1: None = None,
out2: None = None,
/,
*,
out: tuple[_ArrayT1, None],
dtype: None = None,
**kwds: Unpack[_Kwargs3_g],
) -> tuple[_ArrayT1, Any]: ...
@overload
def __call__(
self,
x: ArrayLike,
out1: None = None,
out2: None = None,
/,
*,
out: tuple[_ArrayT1, _ArrayT2],
dtype: None = None,
**kwds: Unpack[_Kwargs3_g],
) -> tuple[_ArrayT1, _ArrayT2]: ...
@overload
def __call__(
self,
x: ArrayLike,
out1: None,
out2: _ArrayT2,
/,
*,
out: _Tuple2[None] = (None, None),
dtype: None = None,
**kwds: Unpack[_Kwargs3_g],
) -> tuple[Any, _ArrayT2]: ...
@overload
def __call__(
self,
x: ArrayLike,
out1: _ArrayT1,
out2: None,
/,
*,
out: _Tuple2[None] = (None, None),
dtype: None = None,
**kwds: Unpack[_Kwargs3_g],
) -> tuple[_ArrayT1, Any]: ...
@overload
def __call__(
self,
x: ArrayLike,
out1: _ArrayT1,
out2: _ArrayT2,
/,
*,
out: _Tuple2[None] = (None, None),
dtype: None = None,
**kwds: Unpack[_Kwargs3_g],
) -> tuple[_ArrayT1, _ArrayT2]: ...

@type_check_only
class _Call21_g(Protocol):
# Scalar for 1D array-likes; ndarray otherwise
# scalar for 1D array-likes; ndarray otherwise
@overload
def __call__(
self,
Expand All @@ -604,8 +722,6 @@ class _Call21_g(Protocol):
out: _Out1[_ArrayT],
*,
dtype: None = None,
axis: SupportsIndex = ...,
axes: Sequence[_Tuple2[SupportsIndex]] = ...,
**kwds: Unpack[_Kwargs3_g],
) -> _ArrayT: ...
@overload
Expand All @@ -617,8 +733,6 @@ class _Call21_g(Protocol):
out: _Out1[_AnyArray | None] = None,
*,
dtype: DTypeLike | None = None,
axis: SupportsIndex = ...,
axes: Sequence[_Tuple2[SupportsIndex]] = ...,
**kwds: Unpack[_Kwargs3_g],
) -> Any: ...

Expand Down Expand Up @@ -1074,7 +1188,6 @@ _CallT11 = TypeVar("_CallT11", bound=Callable[Concatenate[Any, ...], object], de
_CallT12 = TypeVar("_CallT12", bound=Callable[Concatenate[Any, ...], tuple[object, object]], default=_Call12)
_CallT21 = TypeVar("_CallT21", bound=Callable[Concatenate[Any, Any, ...], object], default=_Call21)
_CallT22 = TypeVar("_CallT22", bound=Callable[Concatenate[Any, Any, ...], tuple[object, object]], default=_Call22)
_CallT21G = TypeVar("_CallT21G", bound=Callable[Concatenate[Any, ...], object], default=_Call21_g)

_ufunc_1_1 = TypeAliasType(
"_ufunc_1_1",
Expand All @@ -1097,12 +1210,30 @@ _ufunc_2_2 = TypeAliasType(
type_params=(_CallT22,),
)

#

_CallT11G = TypeVar("_CallT11G", bound=Callable[Concatenate[Any, ...], object], default=_Call11_g)
_CallT12G = TypeVar("_CallT12G", bound=Callable[Concatenate[Any, ...], object], default=_Call12_g)
_CallT21G = TypeVar("_CallT21G", bound=Callable[Concatenate[Any, ...], object], default=_Call21_g)

_gufunc_1_1 = TypeAliasType(
"_gufunc_1_1",
np.ufunc[_CallT11G, _AtE, _ReduceE, _ReduceAtE, _AccumulateE, _OuterE],
type_params=(_CallT11G,),
)
_gufunc_1_2 = TypeAliasType(
"_gufunc_1_2",
np.ufunc[_CallT12G, _AtE, _ReduceE, _ReduceAtE, _AccumulateE, _OuterE],
type_params=(_CallT12G,),
)
_gufunc_2_1 = TypeAliasType(
"_gufunc_2_1",
np.ufunc[_CallT21G, _AtE, _ReduceE, _ReduceAtE, _AccumulateE, _Outer2],
np.ufunc[_CallT21G, _AtE, _ReduceE, _ReduceAtE, _AccumulateE, _Outer1],
type_params=(_CallT21G,),
)

#

_pyfunc_1_1 = TypeAliasType(
"_pyfunc_1_1",
np.ufunc[_Call11_py[_OutT], _At1, _ReduceE, _ReduceAtE, _AccumulateE, _OuterE],
Expand Down
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