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__init__.py
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__init__.pyi
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__pycache__
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_add_newdocs.py
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_add_newdocs_scalars.py
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_asarray.py
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_asarray.pyi
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_dtype.py
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_dtype_ctypes.py
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_exceptions.py
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_internal.py
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_internal.pyi
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_machar.py
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_methods.py
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_multiarray_tests.cpython-311-x86_64-linux-gnu.so
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_multiarray_umath.cpython-311-x86_64-linux-gnu.so
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_operand_flag_tests.cpython-311-x86_64-linux-gnu.so
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_rational_tests.cpython-311-x86_64-linux-gnu.so
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_simd.cpython-311-x86_64-linux-gnu.so
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_string_helpers.py
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_struct_ufunc_tests.cpython-311-x86_64-linux-gnu.so
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_type_aliases.py
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_type_aliases.pyi
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_ufunc_config.py
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_ufunc_config.pyi
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_umath_tests.cpython-311-x86_64-linux-gnu.so
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arrayprint.py
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arrayprint.pyi
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cversions.py
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defchararray.py
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defchararray.pyi
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einsumfunc.py
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einsumfunc.pyi
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fromnumeric.py
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fromnumeric.pyi
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function_base.py
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function_base.pyi
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generate_numpy_api.py
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getlimits.py
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getlimits.pyi
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include
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lib
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memmap.py
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memmap.pyi
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multiarray.py
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multiarray.pyi
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numeric.py
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numeric.pyi
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numerictypes.py
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numerictypes.pyi
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overrides.py
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records.py
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records.pyi
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setup.py
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setup_common.py
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shape_base.py
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shape_base.pyi
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tests
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umath.py
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umath_tests.py
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Editing: fromnumeric.pyi
import datetime as dt from collections.abc import Sequence from typing import Union, Any, overload, TypeVar, Literal, SupportsIndex from numpy import ( ndarray, number, uint64, int_, int64, intp, float16, bool_, floating, complexfloating, object_, generic, _OrderKACF, _OrderACF, _ModeKind, _PartitionKind, _SortKind, _SortSide, ) from numpy._typing import ( DTypeLike, _DTypeLike, ArrayLike, _ArrayLike, NDArray, _ShapeLike, _Shape, _ArrayLikeBool_co, _ArrayLikeUInt_co, _ArrayLikeInt_co, _ArrayLikeFloat_co, _ArrayLikeComplex_co, _ArrayLikeObject_co, _IntLike_co, _BoolLike_co, _ComplexLike_co, _NumberLike_co, _ScalarLike_co, ) _SCT = TypeVar("_SCT", bound=generic) _SCT_uifcO = TypeVar("_SCT_uifcO", bound=number[Any] | object_) _ArrayType = TypeVar("_ArrayType", bound=NDArray[Any]) __all__: list[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( a: _ArrayLike[_SCT], newshape: _ShapeLike, order: _OrderACF = ..., ) -> NDArray[_SCT]: ... @overload def reshape( a: ArrayLike, newshape: _ShapeLike, order: _OrderACF = ..., ) -> 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 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] = ..., ) -> NDArray[_SCT]: ... @overload def sort( a: ArrayLike, axis: None | SupportsIndex = ..., kind: None | _SortKind = ..., order: None | str | Sequence[str] = ..., ) -> NDArray[Any]: ... def argsort( a: ArrayLike, axis: None | SupportsIndex = ..., kind: None | _SortKind = ..., order: None | str | Sequence[str] = ..., ) -> 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]: ... @overload def resize( a: _ArrayLike[_SCT], new_shape: _ShapeLike, ) -> NDArray[_SCT]: ... @overload def resize( a: ArrayLike, new_shape: _ShapeLike, ) -> 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: ... @overload def ravel(a: _ArrayLike[_SCT], order: _OrderKACF = ...) -> NDArray[_SCT]: ... @overload def ravel(a: ArrayLike, order: _OrderKACF = ...) -> NDArray[Any]: ... def nonzero(a: ArrayLike) -> tuple[NDArray[intp], ...]: ... def shape(a: ArrayLike) -> _Shape: ... @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 = ..., *, dtype: None = ..., where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., extobj: list[Any] = ..., ) -> _SCT: ... @overload def clip( a: _ScalarLike_co, a_min: None | ArrayLike, a_max: None | ArrayLike, out: None = ..., *, dtype: None = ..., where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., extobj: list[Any] = ..., ) -> Any: ... @overload def clip( a: _ArrayLike[_SCT], a_min: None | ArrayLike, a_max: None | ArrayLike, out: None = ..., *, dtype: None = ..., where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., extobj: list[Any] = ..., ) -> NDArray[_SCT]: ... @overload def clip( a: ArrayLike, a_min: None | ArrayLike, a_max: None | ArrayLike, out: None = ..., *, dtype: None = ..., where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., extobj: list[Any] = ..., ) -> NDArray[Any]: ... @overload def clip( a: ArrayLike, a_min: None | ArrayLike, a_max: None | ArrayLike, out: _ArrayType = ..., *, dtype: DTypeLike, where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., extobj: list[Any] = ..., ) -> Any: ... @overload def clip( a: ArrayLike, a_min: None | ArrayLike, a_max: None | ArrayLike, out: _ArrayType, *, dtype: DTypeLike = ..., where: None | _ArrayLikeBool_co = ..., order: _OrderKACF = ..., subok: bool = ..., signature: str | tuple[None | str, ...] = ..., extobj: list[Any] = ..., ) -> _ArrayType: ... @overload def sum( a: _ArrayLike[_SCT], axis: None = ..., dtype: None = ..., out: None = ..., keepdims: bool = ..., initial: _NumberLike_co = ..., where: _ArrayLikeBool_co = ..., ) -> _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 = ..., out: None = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., ) -> bool_: ... @overload def all( a: ArrayLike, axis: None | _ShapeLike = ..., out: None = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def all( a: ArrayLike, axis: None | _ShapeLike = ..., out: _ArrayType = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> _ArrayType: ... @overload def any( a: ArrayLike, axis: None = ..., out: None = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., ) -> bool_: ... @overload def any( a: ArrayLike, axis: None | _ShapeLike = ..., out: None = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def any( a: ArrayLike, axis: None | _ShapeLike = ..., out: _ArrayType = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> _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 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: ... 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: _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 | _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: float = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., ) -> floating[Any]: ... @overload def std( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: None = ..., out: None = ..., ddof: float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def std( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None = ..., dtype: _DTypeLike[_SCT] = ..., out: None = ..., ddof: float = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., ) -> _SCT: ... @overload def std( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: None = ..., ddof: float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def std( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., ddof: float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> _ArrayType: ... @overload def var( a: _ArrayLikeComplex_co, axis: None = ..., dtype: None = ..., out: None = ..., ddof: float = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., ) -> floating[Any]: ... @overload def var( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: None = ..., out: None = ..., ddof: float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def var( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None = ..., dtype: _DTypeLike[_SCT] = ..., out: None = ..., ddof: float = ..., keepdims: Literal[False] = ..., *, where: _ArrayLikeBool_co = ..., ) -> _SCT: ... @overload def var( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: None = ..., ddof: float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> Any: ... @overload def var( a: _ArrayLikeComplex_co | _ArrayLikeObject_co, axis: None | _ShapeLike = ..., dtype: DTypeLike = ..., out: _ArrayType = ..., ddof: float = ..., keepdims: bool = ..., *, where: _ArrayLikeBool_co = ..., ) -> _ArrayType: ... max = amax min = amin round = around
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