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| author | blackhao <13851610112@163.com> | 2025-08-22 02:51:50 -0500 |
|---|---|---|
| committer | blackhao <13851610112@163.com> | 2025-08-22 02:51:50 -0500 |
| commit | 4aab4087dc97906d0b9890035401175cdaab32d4 (patch) | |
| tree | 4e2e9d88a711ec5b1cfa02e8ac72a55183b99123 /.venv/lib/python3.12/site-packages/numpy/_array_api_info.pyi | |
| parent | afa8f50d1d21c721dabcb31ad244610946ab65a3 (diff) | |
2.0
Diffstat (limited to '.venv/lib/python3.12/site-packages/numpy/_array_api_info.pyi')
| -rw-r--r-- | .venv/lib/python3.12/site-packages/numpy/_array_api_info.pyi | 207 |
1 files changed, 207 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/numpy/_array_api_info.pyi b/.venv/lib/python3.12/site-packages/numpy/_array_api_info.pyi new file mode 100644 index 0000000..ee9f8a5 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/numpy/_array_api_info.pyi @@ -0,0 +1,207 @@ +from typing import ( + ClassVar, + Literal, + Never, + TypeAlias, + TypedDict, + TypeVar, + final, + overload, + type_check_only, +) + +import numpy as np + +_Device: TypeAlias = Literal["cpu"] +_DeviceLike: TypeAlias = _Device | None + +_Capabilities = TypedDict( + "_Capabilities", + { + "boolean indexing": Literal[True], + "data-dependent shapes": Literal[True], + }, +) + +_DefaultDTypes = TypedDict( + "_DefaultDTypes", + { + "real floating": np.dtype[np.float64], + "complex floating": np.dtype[np.complex128], + "integral": np.dtype[np.intp], + "indexing": np.dtype[np.intp], + }, +) + +_KindBool: TypeAlias = Literal["bool"] +_KindInt: TypeAlias = Literal["signed integer"] +_KindUInt: TypeAlias = Literal["unsigned integer"] +_KindInteger: TypeAlias = Literal["integral"] +_KindFloat: TypeAlias = Literal["real floating"] +_KindComplex: TypeAlias = Literal["complex floating"] +_KindNumber: TypeAlias = Literal["numeric"] +_Kind: TypeAlias = ( + _KindBool + | _KindInt + | _KindUInt + | _KindInteger + | _KindFloat + | _KindComplex + | _KindNumber +) + +_T1 = TypeVar("_T1") +_T2 = TypeVar("_T2") +_T3 = TypeVar("_T3") +_Permute1: TypeAlias = _T1 | tuple[_T1] +_Permute2: TypeAlias = tuple[_T1, _T2] | tuple[_T2, _T1] +_Permute3: TypeAlias = ( + tuple[_T1, _T2, _T3] | tuple[_T1, _T3, _T2] + | tuple[_T2, _T1, _T3] | tuple[_T2, _T3, _T1] + | tuple[_T3, _T1, _T2] | tuple[_T3, _T2, _T1] +) + +@type_check_only +class _DTypesBool(TypedDict): + bool: np.dtype[np.bool] + +@type_check_only +class _DTypesInt(TypedDict): + int8: np.dtype[np.int8] + int16: np.dtype[np.int16] + int32: np.dtype[np.int32] + int64: np.dtype[np.int64] + +@type_check_only +class _DTypesUInt(TypedDict): + uint8: np.dtype[np.uint8] + uint16: np.dtype[np.uint16] + uint32: np.dtype[np.uint32] + uint64: np.dtype[np.uint64] + +@type_check_only +class _DTypesInteger(_DTypesInt, _DTypesUInt): ... + +@type_check_only +class _DTypesFloat(TypedDict): + float32: np.dtype[np.float32] + float64: np.dtype[np.float64] + +@type_check_only +class _DTypesComplex(TypedDict): + complex64: np.dtype[np.complex64] + complex128: np.dtype[np.complex128] + +@type_check_only +class _DTypesNumber(_DTypesInteger, _DTypesFloat, _DTypesComplex): ... + +@type_check_only +class _DTypes(_DTypesBool, _DTypesNumber): ... + +@type_check_only +class _DTypesUnion(TypedDict, total=False): + bool: np.dtype[np.bool] + int8: np.dtype[np.int8] + int16: np.dtype[np.int16] + int32: np.dtype[np.int32] + int64: np.dtype[np.int64] + uint8: np.dtype[np.uint8] + uint16: np.dtype[np.uint16] + uint32: np.dtype[np.uint32] + uint64: np.dtype[np.uint64] + float32: np.dtype[np.float32] + float64: np.dtype[np.float64] + complex64: np.dtype[np.complex64] + complex128: np.dtype[np.complex128] + +_EmptyDict: TypeAlias = dict[Never, Never] + +@final +class __array_namespace_info__: + __module__: ClassVar[Literal['numpy']] + + def capabilities(self) -> _Capabilities: ... + def default_device(self) -> _Device: ... + def default_dtypes( + self, + *, + device: _DeviceLike = ..., + ) -> _DefaultDTypes: ... + def devices(self) -> list[_Device]: ... + + @overload + def dtypes( + self, + *, + device: _DeviceLike = ..., + kind: None = ..., + ) -> _DTypes: ... + @overload + def dtypes( + self, + *, + device: _DeviceLike = ..., + kind: _Permute1[_KindBool], + ) -> _DTypesBool: ... + @overload + def dtypes( + self, + *, + device: _DeviceLike = ..., + kind: _Permute1[_KindInt], + ) -> _DTypesInt: ... + @overload + def dtypes( + self, + *, + device: _DeviceLike = ..., + kind: _Permute1[_KindUInt], + ) -> _DTypesUInt: ... + @overload + def dtypes( + self, + *, + device: _DeviceLike = ..., + kind: _Permute1[_KindFloat], + ) -> _DTypesFloat: ... + @overload + def dtypes( + self, + *, + device: _DeviceLike = ..., + kind: _Permute1[_KindComplex], + ) -> _DTypesComplex: ... + @overload + def dtypes( + self, + *, + device: _DeviceLike = ..., + kind: ( + _Permute1[_KindInteger] + | _Permute2[_KindInt, _KindUInt] + ), + ) -> _DTypesInteger: ... + @overload + def dtypes( + self, + *, + device: _DeviceLike = ..., + kind: ( + _Permute1[_KindNumber] + | _Permute3[_KindInteger, _KindFloat, _KindComplex] + ), + ) -> _DTypesNumber: ... + @overload + def dtypes( + self, + *, + device: _DeviceLike = ..., + kind: tuple[()], + ) -> _EmptyDict: ... + @overload + def dtypes( + self, + *, + device: _DeviceLike = ..., + kind: tuple[_Kind, ...], + ) -> _DTypesUnion: ... |
