👽️ scipy==1.15.0rc2 (#376)

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "scipy-stubs"
-version = "1.15.0.0.dev0"
+version = "1.15.0.0.dev1"
 description = "Precise type-hints for all of SciPy"
 readme = "README.md"
 authors = [
@@ -33,7 +33,7 @@ dependencies = [
 ]
 
 [dependency-groups]
-scipy = ["scipy==1.15.0rc1"]
+scipy = ["scipy==1.15.0rc2"]
 ci = ["packaging>=24.2"]
 codegen = ["libcst>=1.5.1,<2"]
 mdformat = [
@@ -63,7 +63,7 @@ dev = [
 ]
 
 [project.optional-dependencies]
-scipy = ["scipy>=1.15.0rc1,<1.16"]
+scipy = ["scipy>=1.15.0rc2,<1.16"]
 
 [project.urls]
 Repository = "https://github.com/jorenham/scipy-stubs/"

scipy-stubs/sparse/_index.pyi

@@ -39,8 +39,6 @@ _ToSlice2D: TypeAlias = (
 INT_TYPES: tuple[type[int], type[np.integer[Any]]] = ...
 
 class IndexMixin(Generic[_SCT, _ShapeT_co]):
-    # NOTE: >2-d indexing is bugged at the moment (scipy==1.15.0rc1), see https://github.com/scipy/scipy/issues/22112
-
     @overload
     def __getitem__(self: IndexMixin[Any, tuple[int]], ix: op.CanIndex, /) -> _SCT: ...
     @overload

scipy-stubs/stats/_distribution_infrastructure.pyi

@@ -7,10 +7,9 @@ from typing import Any, ClassVar, Final, Generic, Literal as L, Protocol, TypeAl
 from typing_extensions import LiteralString, Never, Self, TypeIs, TypeVar, Unpack, override
 
 import numpy as np
-import optype as op
 import optype.numpy as onp
 import optype.typing as opt
-from scipy._typing import AnyShape, ToRNG
+from scipy._typing import ToRNG
 from ._distn_infrastructure import rv_continuous
 from ._probability_distribution import _BaseDistribution
 
@@ -53,10 +52,6 @@ _2D: TypeAlias = tuple[_NT, _NT]  # noqa: PYI042
 _3D: TypeAlias = tuple[_NT, _NT, _NT]  # noqa: PYI042
 _ND: TypeAlias = tuple[_NT, ...]
 
-_To1D: TypeAlias = op.CanIndex | _1D[op.CanIndex]
-_To2D: TypeAlias = _2D[op.CanIndex]
-_To3D: TypeAlias = _3D[op.CanIndex]
-
 _ToFloatMax1D: TypeAlias = onp.ToFloatStrict1D | onp.ToFloat
 _ToFloatMax2D: TypeAlias = onp.ToFloatStrict2D | _ToFloatMax1D
 _ToFloatMax3D: TypeAlias = onp.ToFloatStrict3D | _ToFloatMax2D
@@ -348,31 +343,6 @@ class ContinuousDistribution(_BaseDistribution[_FloatT_co, _ShapeT_co], Generic[
         ax: _AxesT | None = None,
     ) -> _AxesT: ...
 
-    #
-    # NOTE: This will be removed in 1.15.0rc2, see https://github.com/scipy/scipy/pull/22149
-    @overload
-    def llf(self, sample: _ToFloatMaxND, /, *, axis: None) -> _OutFloat: ...
-    @overload
-    def llf(self: _CDist0, sample: _ToFloatMax1D, /, *, axis: AnyShape | None = -1) -> _OutFloat: ...
-    @overload
-    def llf(self: _CDist[_ShapeT1], sample: _ToFloatMax1D, /, *, axis: AnyShape = -1) -> onp.ArrayND[_OutFloat, _ShapeT1]: ...
-    @overload
-    def llf(self: _CDist0, sample: onp.ToFloatStrict2D, /, *, axis: _To1D = -1) -> onp.Array1D[_OutFloat]: ...
-    @overload
-    def llf(self: _CDist0, sample: onp.ToFloatStrict2D, /, *, axis: _To2D) -> _OutFloat: ...
-    @overload
-    def llf(self: _CDist0, sample: onp.ToFloatStrict3D, /, *, axis: _To1D = -1) -> onp.Array2D[_OutFloat]: ...
-    @overload
-    def llf(self: _CDist0, sample: onp.ToFloatStrict3D, /, *, axis: _To2D) -> onp.Array1D[_OutFloat]: ...
-    @overload
-    def llf(self: _CDist0, sample: onp.ToFloatStrict3D, /, *, axis: _To3D) -> _OutFloat: ...
-    @overload
-    def llf(
-        self: _CDist[_ShapeT1], sample: _ToFloatMaxND, /, *, axis: AnyShape = -1
-    ) -> onp.Array[_ShapeT1, _OutFloat] | onp.ArrayND[_OutFloat]: ...  # the first union type is needed on numpy <2.1
-    @overload
-    def llf(self, sample: _ToFloatMaxND, /, *, axis: AnyShape | None = -1) -> _OutFloat | onp.ArrayND[_OutFloat]: ...
-
 # 7 years of asking and >400 upvotes, but still no higher-kinded typing support: https://github.com/python/typing/issues/548
 class TransformedDistribution(ContinuousDistribution[_FloatT_co, _ShapeT_co], Generic[_DistT_co, _FloatT_co, _ShapeT_co]):
     _dist: _DistT_co  # readonly
@@ -535,6 +505,7 @@ class MonotonicTransformedDistribution(_TransDist[_DistT_co, _Float, _ShapeT_co]
     _logdh: Final[_Elementwise]
     _increasing: Final[bool]
     _repr_pattern: Final[str]
+    _str_pattern: Final[str]
 
     def __init__(
         self: MonotonicTransformedDistribution[_CDist[_ShapeT], _ShapeT],
@@ -547,6 +518,7 @@ class MonotonicTransformedDistribution(_TransDist[_DistT_co, _Float, _ShapeT_co]
         logdh: _Elementwise | None = None,
         increasing: bool = True,
         repr_pattern: str | None = None,
+        str_pattern: str | None = None,
         **kwargs: Unpack[_DistOpts],
     ) -> None: ...
 

scipy-stubs/version.pyi

@@ -3,6 +3,6 @@ from typing_extensions import LiteralString as _LiteralString
 
 version: _Final[_LiteralString] = ...
 full_version: _Final[_LiteralString] = ...
-short_version: _Final[_Literal["1.15.0rc1", "1.15.0rc2", "1.15.0"]] = ...
+short_version: _Final[_Literal["1.15.0rc2", "1.15.0", "1.15.1"]] = ...
 git_revision: _Final[_LiteralString] = ...
 release: _Final[bool] = ...