from _typeshed import Incomplete from types import EllipsisType from typing import Any, Generic, Self, SupportsIndex, overload, override from typing_extensions import TypeVar, deprecated import numpy as np import numpy.typing as npt from numpy._typing import ( _AnyShape, _ArrayLike, _ArrayLikeBool_co, _ArrayLikeInt_co, _DTypeLike, _Shape, ) ### _ShapeT_co = TypeVar("_ShapeT_co", bound=tuple[int, ...], default=_AnyShape, covariant=True) _DTypeT_co = TypeVar("_DTypeT_co", bound=np.dtype, default=np.dtype, covariant=True) type _ArrayInt_co = npt.NDArray[np.integer | np.bool] type _BoolContainer = container[Any, np.dtype[np.bool]] # type: ignore[deprecated] type _IntegralContainer = container[Any, np.dtype[np.bool | np.integer | np.object_]] # type: ignore[deprecated] type _RealContainer = container[Any, np.dtype[np.bool | np.integer | np.floating | np.timedelta64 | np.object_]] # type: ignore[deprecated] type _NumericContainer = container[Any, np.dtype[np.number | np.timedelta64 | np.object_]] # type: ignore[deprecated] type _ToIndexSlice = slice | EllipsisType | _ArrayInt_co | None type _ToIndexSlices = _ToIndexSlice | tuple[_ToIndexSlice, ...] type _ToIndex = SupportsIndex | _ToIndexSlice type _ToIndices = _ToIndex | tuple[_ToIndex, ...] ### # pyright: reportDeprecated = false @deprecated("The numpy.lib.user_array.container class is deprecated and will be removed in a future version.") class container(Generic[_ShapeT_co, _DTypeT_co]): array: np.ndarray[_ShapeT_co, _DTypeT_co] @overload def __init__( self, /, data: container[_ShapeT_co, _DTypeT_co] | np.ndarray[_ShapeT_co, _DTypeT_co], dtype: None = None, copy: bool = True, ) -> None: ... @overload def __init__[ScalarT: np.generic]( self: container[Any, np.dtype[ScalarT]], /, data: _ArrayLike[ScalarT], dtype: None = None, copy: bool = True, ) -> None: ... @overload def __init__[ScalarT: np.generic]( self: container[Any, np.dtype[ScalarT]], /, data: npt.ArrayLike, dtype: _DTypeLike[ScalarT], copy: bool = True, ) -> None: ... @overload def __init__(self, /, data: npt.ArrayLike, dtype: npt.DTypeLike | None = None, copy: bool = True) -> None: ... # def __complex__(self, /) -> complex: ... def __float__(self, /) -> float: ... def __int__(self, /) -> int: ... def __hex__(self, /) -> str: ... def __oct__(self, /) -> str: ... # @override def __eq__(self, other: object, /) -> container[_ShapeT_co, np.dtype[np.bool]]: ... # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride] @override def __ne__(self, other: object, /) -> container[_ShapeT_co, np.dtype[np.bool]]: ... # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride] # def __lt__(self, other: npt.ArrayLike, /) -> container[_ShapeT_co, np.dtype[np.bool]]: ... def __le__(self, other: npt.ArrayLike, /) -> container[_ShapeT_co, np.dtype[np.bool]]: ... def __gt__(self, other: npt.ArrayLike, /) -> container[_ShapeT_co, np.dtype[np.bool]]: ... def __ge__(self, other: npt.ArrayLike, /) -> container[_ShapeT_co, np.dtype[np.bool]]: ... # def __len__(self, /) -> int: ... # keep in sync with np.ndarray @overload def __getitem__(self, key: _ArrayInt_co | tuple[_ArrayInt_co, ...], /) -> container[_ShapeT_co, _DTypeT_co]: ... @overload def __getitem__(self, key: _ToIndexSlices, /) -> container[_AnyShape, _DTypeT_co]: ... @overload def __getitem__(self, key: _ToIndices, /) -> Any: ... @overload def __getitem__(self: container[Any, np.dtype[np.void]], key: list[str], /) -> container[_ShapeT_co, np.dtype[np.void]]: ... @overload def __getitem__(self: container[Any, np.dtype[np.void]], key: str, /) -> container[_ShapeT_co, np.dtype]: ... # keep in sync with np.ndarray @overload def __setitem__(self, index: _ToIndices, value: object, /) -> None: ... @overload def __setitem__(self: container[Any, np.dtype[np.void]], key: str | list[str], value: object, /) -> None: ... # keep in sync with np.ndarray @overload def __abs__[ShapeT: _Shape]( self: container[ShapeT, np.dtype[np.complex64]], / ) -> container[ShapeT, np.dtype[np.float32]]: ... @overload def __abs__[ShapeT: _Shape]( self: container[ShapeT, np.dtype[np.complex128]], / ) -> container[ShapeT, np.dtype[np.float64]]: ... @overload def __abs__[ShapeT: _Shape]( self: container[ShapeT, np.dtype[np.complex192]], / ) -> container[ShapeT, np.dtype[np.float96]]: ... @overload def __abs__[ShapeT: _Shape]( self: container[ShapeT, np.dtype[np.complex256]], / ) -> container[ShapeT, np.dtype[np.float128]]: ... @overload def __abs__[ContainerT: _RealContainer](self: ContainerT, /) -> ContainerT: ... # def __neg__[ContainerT: _NumericContainer](self: ContainerT, /) -> ContainerT: ... def __pos__[ContainerT: _NumericContainer](self: ContainerT, /) -> ContainerT: ... def __invert__[ContainerT: _IntegralContainer](self: ContainerT, /) -> ContainerT: ... # TODO(jorenham): complete these binary ops # def __add__(self, other: npt.ArrayLike, /) -> Incomplete: ... def __radd__(self, other: npt.ArrayLike, /) -> Incomplete: ... def __iadd__(self, other: npt.ArrayLike, /) -> Self: ... # def __sub__(self, other: npt.ArrayLike, /) -> Incomplete: ... def __rsub__(self, other: npt.ArrayLike, /) -> Incomplete: ... def __isub__(self, other: npt.ArrayLike, /) -> Self: ... # def __mul__(self, other: npt.ArrayLike, /) -> Incomplete: ... def __rmul__(self, other: npt.ArrayLike, /) -> Incomplete: ... def __imul__(self, other: npt.ArrayLike, /) -> Self: ... # def __mod__(self, other: npt.ArrayLike, /) -> Incomplete: ... def __rmod__(self, other: npt.ArrayLike, /) -> Incomplete: ... def __imod__(self, other: npt.ArrayLike, /) -> Self: ... # def __divmod__(self, other: npt.ArrayLike, /) -> tuple[Incomplete, Incomplete]: ... def __rdivmod__(self, other: npt.ArrayLike, /) -> tuple[Incomplete, Incomplete]: ... # def __pow__(self, other: npt.ArrayLike, /) -> Incomplete: ... def __rpow__(self, other: npt.ArrayLike, /) -> Incomplete: ... def __ipow__(self, other: npt.ArrayLike, /) -> Self: ... # def __lshift__(self, other: _ArrayLikeInt_co, /) -> container[_AnyShape, np.dtype[np.integer]]: ... def __rlshift__(self, other: _ArrayLikeInt_co, /) -> container[_AnyShape, np.dtype[np.integer]]: ... def __ilshift__(self, other: _ArrayLikeInt_co, /) -> Self: ... # def __rshift__(self, other: _ArrayLikeInt_co, /) -> container[_AnyShape, np.dtype[np.integer]]: ... def __rrshift__(self, other: _ArrayLikeInt_co, /) -> container[_AnyShape, np.dtype[np.integer]]: ... def __irshift__(self, other: _ArrayLikeInt_co, /) -> Self: ... # @overload def __and__(self: _BoolContainer, other: _ArrayLikeBool_co, /) -> container[_AnyShape, np.dtype[np.bool]]: ... @overload def __and__(self, other: _ArrayLikeInt_co, /) -> container[_AnyShape, np.dtype[np.bool | np.integer]]: ... __rand__ = __and__ @overload def __iand__[ContainerT: _BoolContainer](self: ContainerT, other: _ArrayLikeBool_co, /) -> ContainerT: ... @overload def __iand__(self, other: _ArrayLikeInt_co, /) -> Self: ... # @overload def __xor__(self: _BoolContainer, other: _ArrayLikeBool_co, /) -> container[_AnyShape, np.dtype[np.bool]]: ... @overload def __xor__(self, other: _ArrayLikeInt_co, /) -> container[_AnyShape, np.dtype[np.bool | np.integer]]: ... __rxor__ = __xor__ @overload def __ixor__[ContainerT: _BoolContainer](self: ContainerT, other: _ArrayLikeBool_co, /) -> ContainerT: ... @overload def __ixor__(self, other: _ArrayLikeInt_co, /) -> Self: ... # @overload def __or__(self: _BoolContainer, other: _ArrayLikeBool_co, /) -> container[_AnyShape, np.dtype[np.bool]]: ... @overload def __or__(self, other: _ArrayLikeInt_co, /) -> container[_AnyShape, np.dtype[np.bool | np.integer]]: ... __ror__ = __or__ @overload def __ior__[ContainerT: _BoolContainer](self: ContainerT, other: _ArrayLikeBool_co, /) -> ContainerT: ... @overload def __ior__(self, other: _ArrayLikeInt_co, /) -> Self: ... # @overload def __array__(self, /, t: None = None) -> np.ndarray[_ShapeT_co, _DTypeT_co]: ... @overload def __array__[DTypeT: np.dtype](self, /, t: DTypeT) -> np.ndarray[_ShapeT_co, DTypeT]: ... # @overload def __array_wrap__(self, arg0: npt.ArrayLike, /) -> container[_ShapeT_co, _DTypeT_co]: ... @overload def __array_wrap__[ShapeT: _Shape, DTypeT: np.dtype]( self, a: np.ndarray[ShapeT, DTypeT], c: Any = ..., s: Any = ..., / ) -> container[ShapeT, DTypeT]: ... # def copy(self, /) -> Self: ... def tobytes(self, /) -> bytes: ... def byteswap(self, /) -> Self: ... def astype[ScalarT: np.generic](self, /, typecode: _DTypeLike[ScalarT]) -> container[_ShapeT_co, np.dtype[ScalarT]]: ... # def __setattr__(self, attr: str, value: object, /) -> None: ... def __getattr__(self, attr: str, /) -> Any: ...