📌 require python>=3.11 (#523)

Author: jorenham

CONTRIBUTING.md

@@ -24,10 +24,10 @@ Ensure you have [`uv`](https://docs.astral.sh/uv/getting-started/installation/)
 installed. Now you can install the project with the dev dependencies:
 
 ```shell
-uv sync --python 3.10
+uv sync --python 3.11
 ```
 
-By installing the lowest support Python version (3.10 in this example), it prevents
+By installing the lowest support Python version (3.11 in this example), it prevents
 your IDE from e.g. auto-importing unsupported `typing` features.
 
 ### Tox

README.md

@@ -88,8 +88,8 @@ ______________________________________________________________________
   - ... even in the strict mode
   - compatible with the [Python Typing Spec](https://typing.readthedocs.io/en/latest/spec/index.html)
 - [SPEC 0](https://scientific-python.org/specs/spec-0000/) compliant
-  - Supports Python ≥ 3.10
-  - Supports NumPy ≥ 1.23.5
+  - Supports Python ≥ 3.11
+  - Supports NumPy ≥ 1.25.2
 
 <!-- NOTE: SciPy permalinks to the following `#installation` anchor; don't modify it! -->
 
@@ -161,7 +161,7 @@ Even though `scipy-stubs` doesn't enforce an upper bound on the `scipy` version,
 fully compatible.
 
 There are no additional restrictions enforced by `scipy-stubs` on the `numpy` requirements.
-For `scipy[-stubs]` `1.14.*` and `1.15.*` that is `numpy >= 1.23.5`.
+For `scipy-stubs==1.16.*` that is `numpy >= 1.25.2`.
 
 Currently, `scipy-stubs` has one required dependency: [`optype`](https://github.com/jorenham/optype).
 This is essential for `scipy-stubs` to work properly, as it relies heavily on it for annotating (shaped) array-likes,

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "scipy-stubs"
-version = "1.15.3.1.dev0"
+version = "1.16.0.0.dev0"
 description = "Type annotations for SciPy"
 readme = "README.md"
 authors = [
@@ -24,13 +24,12 @@ classifiers = [
     "Operating System :: OS Independent",
     "Programming Language :: Python",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
     "Typing :: Stubs Only",
 ]
-requires-python = ">=3.10"
+requires-python = ">=3.11"
 dependencies = ["optype>=0.9.3"]
 
     [project.optional-dependencies]

scipy-stubs/__config__.pyi

@@ -2,8 +2,7 @@
 # It contains system_info results at the time of building this package.
 from enum import Enum
 from types import ModuleType
-from typing import Final, Literal, TypedDict, TypeVar, overload, type_check_only
-from typing_extensions import NotRequired
+from typing import Final, Literal, NotRequired, TypedDict, TypeVar, overload, type_check_only
 
 __all__ = ["show"]
 

scipy-stubs/_lib/_ccallback.pyi

@@ -1,8 +1,8 @@
 import ctypes as ct
 from _ctypes import CFuncPtr as _CFuncPtr
 from types import ModuleType
-from typing import ClassVar, Generic, Literal, NoReturn, Protocol, TypeAlias, final, overload, type_check_only
-from typing_extensions import CapsuleType as PyCapsule, Self, TypeVar, TypeVarTuple, Unpack, override
+from typing import ClassVar, Generic, Literal, NoReturn, Protocol, Self, TypeAlias, final, overload, type_check_only
+from typing_extensions import CapsuleType as PyCapsule, TypeVar, TypeVarTuple, Unpack, override
 
 # some quick interfaces for the relevant `cffi` types
 
@@ -57,25 +57,25 @@ class _CFFIVoid(_CFFIType, Protocol):
     def __init__(self, /) -> None: ...
 
 @type_check_only
-class _CFFIFunc(_CFFIType, Protocol[_CT_co, Unpack[_CTs]]):
+class _CFFIFunc(_CFFIType, Protocol[_CT_co, *_CTs]):
     is_array_type: ClassVar[bool] = False
 
     @property
-    def args(self, /) -> tuple[Unpack[_CTs]]: ...
+    def args(self, /) -> tuple[*_CTs]: ...
     @property
     def result(self, /) -> _CT_co: ...
     @property
     def ellipsis(self, /) -> bool: ...
     @property
     def abi(self, /) -> int | str | None: ...
-    def __init__(self, /, args: tuple[Unpack[_CTs]], result: _CT_co, ellipsis: bool, abi: int | None = None) -> None: ...
+    def __init__(self, /, args: tuple[*_CTs], result: _CT_co, ellipsis: bool, abi: int | None = None) -> None: ...
 
 @type_check_only
 @final
-class _CFFIFuncPtr(_CFFIFunc[_CT_co, Unpack[_CTs]], Protocol[_CT_co, Unpack[_CTs]]):
+class _CFFIFuncPtr(_CFFIFunc[_CT_co, *_CTs], Protocol[_CT_co, *_CTs]):
     is_raw_function: ClassVar = False
 
-    def as_raw_function(self, /) -> _CFFIFunc[_CT_co, Unpack[_CTs]]: ...
+    def as_raw_function(self, /) -> _CFFIFunc[_CT_co, *_CTs]: ...
 
 @type_check_only
 @final

scipy-stubs/_lib/_util.pyi

@@ -1,8 +1,8 @@
 import multiprocessing.pool as mpp
 import types
 from collections.abc import Callable, Iterable, Sequence
-from typing import Any, Concatenate, Final, Generic, Literal, NamedTuple, TypeAlias, overload
-from typing_extensions import Never, TypeVar, override
+from typing import Any, Concatenate, Final, Generic, Literal, NamedTuple, Never, TypeAlias, overload
+from typing_extensions import TypeVar, override
 
 import numpy as np
 import optype as op

scipy-stubs/_typing.pyi

@@ -3,8 +3,8 @@
 from os import PathLike
 from collections.abc import Sequence
 from types import TracebackType
-from typing import IO, Any, Literal, Protocol, TypeAlias, type_check_only
-from typing_extensions import LiteralString, Self, TypeVar
+from typing import IO, Any, Literal, LiteralString, Protocol, Self, TypeAlias, type_check_only
+from typing_extensions import TypeVar
 
 import numpy as np
 import optype as op

scipy-stubs/constants/_codata.pyi

@@ -1,6 +1,5 @@
 from collections.abc import Mapping
-from typing import Final, Literal, TypeAlias
-from typing_extensions import LiteralString
+from typing import Final, Literal, LiteralString, TypeAlias
 
 __all__ = ["ConstantWarning", "find", "physical_constants", "precision", "unit", "value"]
 

scipy-stubs/datasets/_fetchers.pyi

@@ -1,5 +1,4 @@
-from typing import Final, Literal as L, overload
-from typing_extensions import LiteralString
+from typing import Final, Literal as L, LiteralString, overload
 
 from ._typing import AscentDataset, CanFetch, ECGDataset, Face2Dataset, Face3Dataset
 

scipy-stubs/datasets/_registry.pyi

@@ -1,5 +1,4 @@
-from typing import Final, Literal as L, TypedDict, type_check_only
-from typing_extensions import LiteralString
+from typing import Final, Literal as L, LiteralString, TypedDict, type_check_only
 
 @type_check_only
 class _MethodRegistry(TypedDict):