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from collections.abc import Sequence from typing import ( Any, Literal, NoReturn, Protocol, SupportsIndex, TypeAlias, TypeVar, overload, type_check_only, ) from typing_extensions import Never, deprecated import numpy as np from numpy import ( number, uint64, int_, int64, intp, float16, floating, complexfloating, timedelta64, object_, generic, _AnyShapeType, _OrderKACF, _OrderACF, _ModeKind, _PartitionKind, _SortKind, _SortSide, _CastingKind, ) from numpy._typing import ( DTypeLike, _DTypeLike, ArrayLike, _ArrayLike, NDArray, _NestedSequence, _ShapeLike, _ArrayLikeBool_co, _ArrayLikeUInt_co, _ArrayLikeInt_co, _ArrayLikeFloat_co, _ArrayLikeComplex_co, _ArrayLikeObject_co, _ArrayLikeTD64_co, _IntLike_co, _BoolLike_co, _ComplexLike_co, _NumberLike_co, _ScalarLike_co, ) __all__ = [ "all", "amax", "amin", "any", "argmax", "argmin", "argpartition", "argsort", "around", "choose", "clip", "compress", "cumprod", "cumsum", "cumulative_prod", "cumulative_sum", "diagonal", "mean", "max", "min", "matrix_transpose", "ndim", "nonzero", "partition", "prod", "ptp", "put", "ravel", "repeat", "reshape", "resize", "round", "searchsorted", "shape", "size", "sort", "squeeze", "std", "sum", "swapaxes", "take", "trace", "transpose", "var", ] _SCT = TypeVar("_SCT", bound=generic) _SCT_uifcO = TypeVar("_SCT_uifcO", bound=number[Any] | object_) _ArrayType = TypeVar("_ArrayType", bound=np.ndarray[Any, Any]) _SizeType = TypeVar("_SizeType", bound=int) _ShapeType = TypeVar("_ShapeType", bound=tuple[int, ...]) _ShapeType_co = TypeVar("_ShapeType_co", bound=tuple[int, ...], covariant=True) @type_check_only class _SupportsShape(Protocol[_ShapeType_co]): # NOTE: it matters that `self` is positional only @property def shape(self, /) -> _ShapeType_co: ... # a "sequence" that isn't a string, bytes, bytearray, or memoryview _T = TypeVar("_T") _PyArray: TypeAlias = list[_T] | tuple[_T, ...] # `int` also covers `bool` _PyScalar: TypeAlias = int | float | complex | bytes | str @overload def take( a: _ArrayLike[_SCT], indices: _IntLike_co, axis: None = ..., out: None = ..., mode: _ModeKind = ..., ) -> _SCT: ... @overload def take( a: ArrayLike, indices: _IntLike_co, axis: None | SupportsIndex = ..., out: None = ..., mode: _ModeKind = ..., ) -> Any: ... @overload def take( a: _ArrayLike[_SCT], indices: _ArrayLikeInt_co, axis: None | SupportsIndex = ..., out: None = ..., mode: _ModeKind = ..., ) -> NDArray[_SCT]: ... @overload def take( a: ArrayLike, indices: _ArrayLikeInt_co, axis: None | SupportsIndex = ..., out: None = ..., mode: _ModeKind = ..., ) -> NDArray[Any]: ... @overload def take( a: ArrayLike, indices: _ArrayLikeInt_co, axis: None | SupportsIndex = ..., out: _ArrayType = ..., mode: _ModeKind = ..., ) -> _ArrayType: ... @overload def reshape( # shape: index a: _ArrayLike[_SCT], /, shape: SupportsIndex, order: _OrderACF = "C", *, copy: bool | None = None, ) -> np.ndarray[tuple[int], np.dtype[_SCT]]: ... @overload def reshape( # shape: (int, ...) @ _AnyShapeType a: _ArrayLike[_SCT], /, shape: _AnyShapeType, order: _OrderACF = "C", *, copy: bool | None = None, ) -> np.ndarray[_AnyShapeType, np.dtype[_SCT]]: ... @overload # shape: Sequence[index] def reshape( a: _ArrayLike[_SCT], /, shape: Sequence[SupportsIndex], order: _OrderACF = "C", *, copy: bool | None = None, ) -> NDArray[_SCT]: ... @overload # shape: index def reshape( a: ArrayLike, /, shape: SupportsIndex, order: _OrderACF = "C", *, copy: bool | None = None, ) -> np.ndarray[tuple[int], np.dtype[Any]]: ... @overload def reshape( # shape: (int, ...) @ _AnyShapeType a: ArrayLike, /, shape: _AnyShapeType, order: _OrderACF = "C", *, copy: bool | None = None, ) -> np.ndarray[_AnyShapeType, np.dtype[Any]]: ... @overload # shape: Sequence[index] def reshape( a: ArrayLike, /, shape: Sequence[SupportsIndex], order: _OrderACF = "C", *, copy: bool | None = None, ) -> NDArray[Any]: ... @overload @deprecated( "`newshape` keyword argument is deprecated, " "use `shape=...` or pass shape positionally instead. " "(deprecated in NumPy 2.1)", ) def reshape( a: ArrayLike, /, shape: None = None, order: _OrderACF = "C", *, newshape: _ShapeLike, copy: bool | None = None, ) -> NDArray[Any]: ... @overload def choose( a: _IntLike_co, choices: ArrayLike, out: None = ..., mode: _ModeKind = ..., ) -> Any: ... @overload def choose( a: _ArrayLikeInt_co, choices: _ArrayLike[_SCT], out: None = ..., mode: _ModeKind = ..., ) -> NDArray[_SCT]: ... @overload def choose( a: _ArrayLikeInt_co, choices: ArrayLike, out: None = ..., mode: _ModeKind = ..., ) -> NDArray[Any]: ... @overload def choose( a: _ArrayLikeInt_co, choices: ArrayLike, out: _ArrayType = ..., mode: _ModeKind = ..., ) -> _ArrayType: ... @overload def repeat( a: _ArrayLike[_SCT], repeats: _ArrayLikeInt_co, axis: None | SupportsIndex = ..., ) -> NDArray[_SCT]: ... @overload def repeat( a: ArrayLike, repeats: _ArrayLikeInt_co, axis: None | SupportsIndex = ..., ) -> NDArray[Any]: ... def put( a: NDArray[Any], ind: _ArrayLikeInt_co, v: ArrayLike, mode: _ModeKind = ..., ) -> None: ... @overload def swapaxes( a: _ArrayLike[_SCT], axis1: SupportsIndex, axis2: SupportsIndex, ) -> NDArray[_SCT]: ... @overload def swapaxes( a: ArrayLike, axis1: SupportsIndex, axis2: SupportsIndex, ) -> NDArray[Any]: ... @overload def transpose( a: _ArrayLike[_SCT], axes: None | _ShapeLike = ... ) -> NDArray[_SCT]: ... @overload def transpose( a: ArrayLike, axes: None | _ShapeLike = ... ) -> NDArray[Any]: ... @overload def matrix_transpose(x: _ArrayLike[_SCT]) -> NDArray[_SCT]: ... @overload def matrix_transpose(x: ArrayLike) -> NDArray[Any]: ... @overload def partition( a: _ArrayLike[_SCT], kth: _ArrayLikeInt_co, axis: None | SupportsIndex = ..., kind: _PartitionKind = ..., order: None | str | Sequence[str] = ..., ) -> NDArray[_SCT]: ... @overload def partition( a: ArrayLike, kth: _ArrayLikeInt_co, axis: None | SupportsIndex = ..., kind: _PartitionKind = ..., order: None | str | Sequence[str] = ..., ) -> NDArray[Any]: ... def argpartition( a: ArrayLike, kth: _ArrayLikeInt_co, axis: None | SupportsIndex = ..., kind: _PartitionKind = ..., order: None | str | Sequence[str] = ..., ) -> NDArray[intp]: ... @overload def sort( a: _ArrayLike[_SCT], axis: None | SupportsIndex = ..., kind: None | _SortKind = ..., order: None | str | Sequence[str] = ..., *, stable: None | bool = ..., ) -> NDArray[_SCT]: ... @overload def sort( a: ArrayLike, axis: None | SupportsIndex = ..., kind: None | _SortKind = ..., order: None | str | Sequence[str] = ..., *, stable: None | bool = ..., ) -> NDArray[Any]: ... def argsort( a: ArrayLike, axis: None | SupportsIndex = ..., kind: None | _SortKind = ..., order: None | str | Sequence[str] = ..., *, stable: None | bool = ..., ) -> NDArray[intp]: ... @overload def argmax( a: ArrayLike, axis: None = ..., out: None = ..., *, keepdims: Literal[False] = ..., ) -> intp: ... @overload def argmax( a: ArrayLike, axis: None | SupportsIndex = ..., out: None = ..., *, keepdims: bool = ..., ) -> Any: ... @overload def argmax( a: ArrayLike, axis: None | SupportsIndex = ..., out: _ArrayType = ..., *, keepdims: bool = ..., ) -> _ArrayType: ... @overload def argmin( a: ArrayLike, axis: None = ..., out: None = ..., *, keepdims: Literal[False] = ..., ) -> intp: ... @overload def argmin( a: ArrayLike, axis: None | SupportsIndex = ..., out: None = ..., *, keepdims: bool = ..., ) -> Any: ... @overload def argmin( a: ArrayLike, axis: None | SupportsIndex = ..., out: _ArrayType = ..., *, keepdims: bool = ..., ) -> _ArrayType: ... @overload def searchsorted( a: ArrayLike, v: _ScalarLike_co, side: _SortSide = ..., sorter: None | _ArrayLikeInt_co = ..., # 1D int array ) -> intp: ... @overload def searchsorted( a: ArrayLike, v: ArrayLike, side: _SortSide = ..., sorter: None | _ArrayLikeInt_co = ..., # 1D int array ) -> NDArray[intp]: ... # unlike `reshape`, `resize` only accepts positive integers, so literal ints can be used @overload def resize(a: _ArrayLike[_SCT], new_shape: _SizeType) -> np.ndarray[tuple[_SizeType], np.dtype[_SCT]]: ... @overload def resize(a: _ArrayLike[_SCT], new_shape: SupportsIndex) -> np.ndarray[tuple[int], np.dtype[_SCT]]: ... @overload def resize(a: _ArrayLike[_SCT], new_shape: _ShapeType) -> np.ndarray[_ShapeType, np.dtype[_SCT]]: ... @overload def resize(a: _ArrayLike[_SCT], new_shape: Sequence[SupportsIndex]) -> NDArray[_SCT]: ... @overload def resize(a: ArrayLike, new_shape: _SizeType) -> np.ndarray[tuple[_SizeType], np.dtype[Any]]: ... @overload def resize(a: ArrayLike, new_shape: SupportsIndex) -> np.ndarray[tuple[int], np.dtype[Any]]: ... @overload def resize(a: ArrayLike, new_shape: _ShapeType) -> np.ndarray[_ShapeType, np.dtype[Any]]: ... @overload def resize(a: ArrayLike, new_shape: Sequence[SupportsIndex]) -> NDArray[Any]: ... @overload def squeeze( a: _SCT, axis: None | _ShapeLike = ..., ) -> _SCT: ... @overload def squeeze( a: _ArrayLike[_SCT], axis: None | _ShapeLike = ..., ) -> NDArray[_SCT]: ... @overload def squeeze( a: ArrayLike, axis: None | _ShapeLike = ..., ) -> NDArray[Any]: ... @overload def diagonal( a: _ArrayLike[_SCT], offset: SupportsIndex = ..., axis1: SupportsIndex = ..., axis2: SupportsIndex = ..., # >= 2D array ) -> NDArray[_SCT]: ... @overload def diagonal( a: ArrayLike, offset: SupportsIndex = ..., axis1: SupportsIndex = ..., axis2: SupportsIndex = ..., # >= 2D array ) -> NDArray[Any]: ... @overload def trace( a: ArrayLike, # >= 2D array offset: SupportsIndex = ..., axis1: SupportsIndex = ..., axis2: SupportsIndex = ..., dtype: DTypeLike = ..., out: None = ..., ) -> Any: ... @overload def trace( a: ArrayLike, # >= 2D array offset: SupportsIndex = ..., axis1: SupportsIndex = ..., axis2: SupportsIndex = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., ) -> _ArrayType: ... _Array1D: TypeAlias = np.ndarray[tuple[int], np.dtype[_SCT]] @overload def ravel(a: _ArrayLike[_SCT], order: _OrderKACF = "C") -> _Array1D[_SCT]: ... @overload def ravel(a: bytes | _NestedSequence[bytes], order: _OrderKACF = "C") -> _Array1D[np.bytes_]: ... @overload def ravel(a: str | _NestedSequence[str], order: _OrderKACF = "C") -> _Array1D[np.str_]: ... @overload def ravel(a: bool | _NestedSequence[bool], order: _OrderKACF = "C") -> _Array1D[np.bool]: ... @overload def ravel(a: int | _NestedSequence[int], order: _OrderKACF = "C") -> _Array1D[np.int_ | np.bool]: ... @overload def ravel(a: float | _NestedSequence[float], order: _OrderKACF = "C") -> _Array1D[np.float64 | np.int_ | np.bool]: ... @overload def ravel( a: complex | _NestedSequence[complex], order: _OrderKACF = "C", ) -> _Array1D[np.complex128 | np.float64 | np.int_ | np.bool]: ... @overload def ravel(a: ArrayLike, order: _OrderKACF = "C") -> np.ndarray[tuple[int], np.dtype[Any]]: ... @overload def nonzero(a: np.generic | np.ndarray[tuple[()], Any]) -> NoReturn: ... @overload def nonzero(a: _ArrayLike[Any]) -> tuple[NDArray[intp], ...]: ... # this prevents `Any` from being returned with Pyright @overload def shape(a: _SupportsShape[Never]) -> tuple[int, ...]: ... @overload def shape(a: _SupportsShape[_ShapeType]) -> _ShapeType: ... @overload def shape(a: _PyScalar) -> tuple[()]: ... # `collections.abc.Sequence` can't be used hesre, since `bytes` and `str` are # subtypes of it, which would make the return types incompatible. @overload def shape(a: _PyArray[_PyScalar]) -> tuple[int]: ... @overload def shape(a: _PyArray[_PyArray[_PyScalar]]) -> tuple[int, int]: ... # this overload will be skipped by typecheckers that don't support PEP 688 @overload def shape(a: memoryview | bytearray) -> tuple[int]: ... @overload def shape(a: ArrayLike) -> tuple[int, ...]: ... @overload def compress( condition: _ArrayLikeBool_co, # 1D bool array a: _ArrayLike[_SCT], axis: None | SupportsIndex = ..., out: None = ..., ) -> NDArray[_SCT]: ... @overload def compress( condition: _ArrayLikeBool_co, # 1D bool array a: ArrayLike, axis: None | SupportsIndex = ..., out: None = ..., ) -> NDArray[Any]: ... @overload def compress( condition: _ArrayLikeBool_co, # 1D bool array a: ArrayLike, axis: None | SupportsIndex = ..., out: _ArrayType = ..., ) -> _ArrayType: ... @overload def clip( a: _SCT, a_min: None | ArrayLike, a_max: None | ArrayLike, out: None = ..., *, min: None | ArrayLike = ..., max: None | ArrayLike = ..., dtype: None = ..., where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., casting: _CastingKind = ..., ) -> _SCT: ... @overload def clip( a: _ScalarLike_co, a_min: None | ArrayLike, a_max: None | ArrayLike, out: None = ..., *, min: None | ArrayLike = ..., max: None | ArrayLike = ..., dtype: None = ..., where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., casting: _CastingKind = ..., ) -> Any: ... @overload def clip( a: _ArrayLike[_SCT], a_min: None | ArrayLike, a_max: None | ArrayLike, out: None = ..., *, min: None | ArrayLike = ..., max: None | ArrayLike = ..., dtype: None = ..., where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., casting: _CastingKind = ..., ) -> NDArray[_SCT]: ... @overload def clip( a: ArrayLike, a_min: None | ArrayLike, a_max: None | ArrayLike, out: None = ..., *, min: None | ArrayLike = ..., max: None | ArrayLike = ..., dtype: None = ..., where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., casting: _CastingKind = ..., ) -> NDArray[Any]: ... @overload def clip( a: ArrayLike, a_min: None | ArrayLike, a_max: None | ArrayLike, out: _ArrayType = ..., *, min: None | ArrayLike = ..., max: None | ArrayLike = ..., dtype: DTypeLike, where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., casting: _CastingKind = ..., ) -> Any: ... @overload def clip( a: ArrayLike, a_min: None | ArrayLike, a_max: None | ArrayLike, out: _ArrayType, *, min: None | ArrayLike = ..., max: None | ArrayLike = ..., dtype: DTypeLike = ..., where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., casting: _CastingKind = ..., ) -> _ArrayType: ... @overload def sum( a: _ArrayLike[_SCT], axis: None = ..., dtype: None = ..., out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _SCT: ... @overload def sum( a: _ArrayLike[_SCT], axis: None = ..., dtype: None = ..., out: None = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _SCT | NDArray[_SCT]: ... @overload def sum( a: ArrayLike, axis: None, dtype: _DTypeLike[_SCT], out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _SCT: ... @overload def sum( a: ArrayLike, axis: None = ..., *, dtype: _DTypeLike[_SCT], out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _SCT: ... @overload def sum( a: ArrayLike, axis: None | _ShapeLike, dtype: _DTypeLike[_SCT], out: None = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _SCT | NDArray[_SCT]: ... @overload def sum( a: ArrayLike, axis: None | _ShapeLike = ..., *, dtype: _DTypeLike[_SCT], out: None = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _SCT | NDArray[_SCT]: ... @overload def sum( a: ArrayLike, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: None = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def sum( a: ArrayLike, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _ArrayType: ... @overload def all( a: ArrayLike, axis: None = None, out: None = None, keepdims: Literal[False, 0] = False, *, where: _ArrayLikeBool_co = True, ) -> np.bool: ... @overload def all( a: ArrayLike, axis: None | int | tuple[int, ...] = None, out: None = None, keepdims: SupportsIndex = False, *, where: _ArrayLikeBool_co = True, ) -> np.bool | NDArray[np.bool]: ... @overload def all( a: ArrayLike, axis: None | int | tuple[int, ...], out: _ArrayType, keepdims: SupportsIndex = False, *, where: _ArrayLikeBool_co = True, ) -> _ArrayType: ... @overload def all( a: ArrayLike, axis: None | int | tuple[int, ...] = None, *, out: _ArrayType, keepdims: SupportsIndex = False, where: _ArrayLikeBool_co = True, ) -> _ArrayType: ... @overload def any( a: ArrayLike, axis: None = None, out: None = None, keepdims: Literal[False, 0] = False, *, where: _ArrayLikeBool_co = True, ) -> np.bool: ... @overload def any( a: ArrayLike, axis: None | int | tuple[int, ...] = None, out: None = None, keepdims: SupportsIndex = False, *, where: _ArrayLikeBool_co = True, ) -> np.bool | NDArray[np.bool]: ... @overload def any( a: ArrayLike, axis: None | int | tuple[int, ...], out: _ArrayType, keepdims: SupportsIndex = False, *, where: _ArrayLikeBool_co = True, ) -> _ArrayType: ... @overload def any( a: ArrayLike, axis: None | int | tuple[int, ...] = None, *, out: _ArrayType, keepdims: SupportsIndex = False, where: _ArrayLikeBool_co = True, ) -> _ArrayType: ... @overload def cumsum( a: _ArrayLike[_SCT], axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., ) -> NDArray[_SCT]: ... @overload def cumsum( a: ArrayLike, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., ) -> NDArray[Any]: ... @overload def cumsum( a: ArrayLike, axis: None | SupportsIndex = ..., dtype: _DTypeLike[_SCT] = ..., out: None = ..., ) -> NDArray[_SCT]: ... @overload def cumsum( a: ArrayLike, axis: None | SupportsIndex = ..., dtype: DTypeLike = ..., out: None = ..., ) -> NDArray[Any]: ... @overload def cumsum( a: ArrayLike, axis: None | SupportsIndex = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., ) -> _ArrayType: ... @overload def cumulative_sum( x: _ArrayLike[_SCT], /, *, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[_SCT]: ... @overload def cumulative_sum( x: ArrayLike, /, *, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[Any]: ... @overload def cumulative_sum( x: ArrayLike, /, *, axis: None | SupportsIndex = ..., dtype: _DTypeLike[_SCT] = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[_SCT]: ... @overload def cumulative_sum( x: ArrayLike, /, *, axis: None | SupportsIndex = ..., dtype: DTypeLike = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[Any]: ... @overload def cumulative_sum( x: ArrayLike, /, *, axis: None | SupportsIndex = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., include_initial: bool = ..., ) -> _ArrayType: ... @overload def ptp( a: _ArrayLike[_SCT], axis: None = ..., out: None = ..., keepdims: Literal[False] = ..., ) -> _SCT: ... @overload def ptp( a: ArrayLike, axis: None | _ShapeLike = ..., out: None = ..., keepdims: bool = ..., ) -> Any: ... @overload def ptp( a: ArrayLike, axis: None | _ShapeLike = ..., out: _ArrayType = ..., keepdims: bool = ..., ) -> _ArrayType: ... @overload def amax( a: _ArrayLike[_SCT], axis: None = ..., out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _SCT: ... @overload def amax( a: ArrayLike, axis: None | _ShapeLike = ..., out: None = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def amax( a: ArrayLike, axis: None | _ShapeLike = ..., out: _ArrayType = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _ArrayType: ... @overload def amin( a: _ArrayLike[_SCT], axis: None = ..., out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _SCT: ... @overload def amin( a: ArrayLike, axis: None | _ShapeLike = ..., out: None = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def amin( a: ArrayLike, axis: None | _ShapeLike = ..., out: _ArrayType = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _ArrayType: ... # TODO: `np.prod()``: For object arrays `initial` does not necessarily # have to be a numerical scalar. # The only requirement is that it is compatible # with the `.__mul__()` method(s) of the passed array's elements. # Note that the same situation holds for all wrappers around # `np.ufunc.reduce`, e.g. `np.sum()` (`.__add__()`). @overload def prod( a: _ArrayLikeBool_co, axis: None = ..., dtype: None = ..., out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> int_: ... @overload def prod( a: _ArrayLikeUInt_co, axis: None = ..., dtype: None = ..., out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> uint64: ... @overload def prod( a: _ArrayLikeInt_co, axis: None = ..., dtype: None = ..., out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> int64: ... @overload def prod( a: _ArrayLikeFloat_co, axis: None = ..., dtype: None = ..., out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> floating[Any]: ... @overload def prod( a: _ArrayLikeComplex_co, axis: None = ..., dtype: None = ..., out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> complexfloating[Any, Any]: ... @overload def prod( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: None = ..., out: None = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def prod( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None = ..., dtype: _DTypeLike[_SCT] = ..., out: None = ..., keepdims: Literal[False] = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _SCT: ... @overload def prod( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: None | DTypeLike = ..., out: None = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def prod( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: None | DTypeLike = ..., out: _ArrayType = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _ArrayType: ... @overload def cumprod( a: _ArrayLikeBool_co, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., ) -> NDArray[int_]: ... @overload def cumprod( a: _ArrayLikeUInt_co, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., ) -> NDArray[uint64]: ... @overload def cumprod( a: _ArrayLikeInt_co, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., ) -> NDArray[int64]: ... @overload def cumprod( a: _ArrayLikeFloat_co, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., ) -> NDArray[floating[Any]]: ... @overload def cumprod( a: _ArrayLikeComplex_co, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., ) -> NDArray[complexfloating[Any, Any]]: ... @overload def cumprod( a: _ArrayLikeObject_co, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., ) -> NDArray[object_]: ... @overload def cumprod( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | SupportsIndex = ..., dtype: _DTypeLike[_SCT] = ..., out: None = ..., ) -> NDArray[_SCT]: ... @overload def cumprod( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | SupportsIndex = ..., dtype: DTypeLike = ..., out: None = ..., ) -> NDArray[Any]: ... @overload def cumprod( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | SupportsIndex = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., ) -> _ArrayType: ... @overload def cumulative_prod( x: _ArrayLikeBool_co, /, *, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[int_]: ... @overload def cumulative_prod( x: _ArrayLikeUInt_co, /, *, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[uint64]: ... @overload def cumulative_prod( x: _ArrayLikeInt_co, /, *, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[int64]: ... @overload def cumulative_prod( x: _ArrayLikeFloat_co, /, *, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[floating[Any]]: ... @overload def cumulative_prod( x: _ArrayLikeComplex_co, /, *, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[complexfloating[Any, Any]]: ... @overload def cumulative_prod( x: _ArrayLikeObject_co, /, *, axis: None | SupportsIndex = ..., dtype: None = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[object_]: ... @overload def cumulative_prod( x: _ArrayLikeComplex_co | _ArrayLikeObject_co, /, *, axis: None | SupportsIndex = ..., dtype: _DTypeLike[_SCT] = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[_SCT]: ... @overload def cumulative_prod( x: _ArrayLikeComplex_co | _ArrayLikeObject_co, /, *, axis: None | SupportsIndex = ..., dtype: DTypeLike = ..., out: None = ..., include_initial: bool = ..., ) -> NDArray[Any]: ... @overload def cumulative_prod( x: _ArrayLikeComplex_co | _ArrayLikeObject_co, /, *, axis: None | SupportsIndex = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., include_initial: bool = ..., ) -> _ArrayType: ... def ndim(a: ArrayLike) -> int: ... def size(a: ArrayLike, axis: None | int = ...) -> int: ... @overload def around( a: _BoolLike_co, decimals: SupportsIndex = ..., out: None = ..., ) -> float16: ... @overload def around( a: _SCT_uifcO, decimals: SupportsIndex = ..., out: None = ..., ) -> _SCT_uifcO: ... @overload def around( a: _ComplexLike_co | object_, decimals: SupportsIndex = ..., out: None = ..., ) -> Any: ... @overload def around( a: _ArrayLikeBool_co, decimals: SupportsIndex = ..., out: None = ..., ) -> NDArray[float16]: ... @overload def around( a: _ArrayLike[_SCT_uifcO], decimals: SupportsIndex = ..., out: None = ..., ) -> NDArray[_SCT_uifcO]: ... @overload def around( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, decimals: SupportsIndex = ..., out: None = ..., ) -> NDArray[Any]: ... @overload def around( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, decimals: SupportsIndex = ..., out: _ArrayType = ..., ) -> _ArrayType: ... @overload def mean( a: _ArrayLikeFloat_co, axis: None = ..., dtype: None = ..., out: None = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., ) -> floating[Any]: ... @overload def mean( a: _ArrayLikeComplex_co, axis: None = ..., dtype: None = ..., out: None = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., ) -> complexfloating[Any, Any]: ... @overload def mean( a: _ArrayLikeTD64_co, axis: None = ..., dtype: None = ..., out: None = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., ) -> timedelta64: ... @overload def mean( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: None = ..., out: None = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def mean( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None = ..., dtype: _DTypeLike[_SCT] = ..., out: None = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., ) -> _SCT: ... @overload def mean( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None, dtype: _DTypeLike[_SCT], out: None = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> _SCT | NDArray[_SCT]: ... @overload def mean( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None = ..., *, dtype: _DTypeLike[_SCT], out: None = ..., keepdims: bool = ..., where: _ArrayLikeBool_co = ..., ) -> _SCT | NDArray[_SCT]: ... @overload def mean( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: None = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def mean( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> _ArrayType: ... @overload def std( a: _ArrayLikeComplex_co, axis: None = ..., dtype: None = ..., out: None = ..., ddof: int | float = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., mean: _ArrayLikeComplex_co = ..., correction: int | float = ..., ) -> floating[Any]: ... @overload def std( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: None = ..., out: None = ..., ddof: int | float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., mean: _ArrayLikeComplex_co | _ArrayLikeObject_co = ..., correction: int | float = ..., ) -> Any: ... @overload def std( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None = ..., dtype: _DTypeLike[_SCT] = ..., out: None = ..., ddof: int | float = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., mean: _ArrayLikeComplex_co | _ArrayLikeObject_co = ..., correction: int | float = ..., ) -> _SCT: ... @overload def std( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: None = ..., ddof: int | float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., mean: _ArrayLikeComplex_co | _ArrayLikeObject_co = ..., correction: int | float = ..., ) -> Any: ... @overload def std( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., ddof: int | float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., mean: _ArrayLikeComplex_co | _ArrayLikeObject_co = ..., correction: int | float = ..., ) -> _ArrayType: ... @overload def var( a: _ArrayLikeComplex_co, axis: None = ..., dtype: None = ..., out: None = ..., ddof: int | float = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., mean: _ArrayLikeComplex_co = ..., correction: int | float = ..., ) -> floating[Any]: ... @overload def var( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: None = ..., out: None = ..., ddof: int | float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., mean: _ArrayLikeComplex_co | _ArrayLikeObject_co = ..., correction: int | float = ..., ) -> Any: ... @overload def var( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None = ..., dtype: _DTypeLike[_SCT] = ..., out: None = ..., ddof: int | float = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., mean: _ArrayLikeComplex_co | _ArrayLikeObject_co = ..., correction: int | float = ..., ) -> _SCT: ... @overload def var( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: None = ..., ddof: int | float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., mean: _ArrayLikeComplex_co | _ArrayLikeObject_co = ..., correction: int | float = ..., ) -> Any: ... @overload def var( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., ddof: int | float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., mean: _ArrayLikeComplex_co | _ArrayLikeObject_co = ..., correction: int | float = ..., ) -> _ArrayType: ... max = amax min = amin round = around

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