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from typing import ( 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__: Literal["numpy"] = "numpy" def capabilities(self) -> _Capabilities: ... def default_device(self) -> _Device: ... def default_dtypes( self, *, device: _DeviceLike = None, ) -> _DefaultDTypes: ... def devices(self) -> list[_Device]: ... @overload def dtypes( self, *, device: _DeviceLike = None, kind: None = None, ) -> _DTypes: ... @overload def dtypes( self, *, device: _DeviceLike = None, kind: _Permute1[_KindBool], ) -> _DTypesBool: ... @overload def dtypes( self, *, device: _DeviceLike = None, kind: _Permute1[_KindInt], ) -> _DTypesInt: ... @overload def dtypes( self, *, device: _DeviceLike = None, kind: _Permute1[_KindUInt], ) -> _DTypesUInt: ... @overload def dtypes( self, *, device: _DeviceLike = None, kind: _Permute1[_KindFloat], ) -> _DTypesFloat: ... @overload def dtypes( self, *, device: _DeviceLike = None, kind: _Permute1[_KindComplex], ) -> _DTypesComplex: ... @overload def dtypes( self, *, device: _DeviceLike = None, kind: ( _Permute1[_KindInteger] | _Permute2[_KindInt, _KindUInt] ), ) -> _DTypesInteger: ... @overload def dtypes( self, *, device: _DeviceLike = None, kind: ( _Permute1[_KindNumber] | _Permute3[_KindInteger, _KindFloat, _KindComplex] ), ) -> _DTypesNumber: ... @overload def dtypes( self, *, device: _DeviceLike = None, kind: tuple[()], ) -> _EmptyDict: ... @overload def dtypes( self, *, device: _DeviceLike = None, kind: tuple[_Kind, ...], ) -> _DTypesUnion: ...