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✏️ /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/core/fromnumeric.pyi

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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]: ...

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

Batal

⬅ numpy 60 item

Nama	Tipe	Ukuran	Diubah	Perm	Aksi
📁 __pycache__	dir	—	06/02/26 03:10	0755	📂
📁 include	dir	—	20/01/26 19:58	0755	📂
📁 lib	dir	—	06/02/26 03:10	0755	📂
📁 tests	dir	—	06/02/26 03:10	0755	📂
🐍 __init__.py	py	5.6 KB	20/01/26 19:58	0644	✏️ ⬇
📄 __init__.pyi	pyi	126 B	20/01/26 19:58	0644	✏️ ⬇
🐍 _add_newdocs.py	py	204.1 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 _add_newdocs_scalars.py	py	11.8 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 _asarray.py	py	3.8 KB	20/01/26 19:58	0644	✏️ ⬇
📄 _asarray.pyi	pyi	1.1 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 _dtype.py	py	10.4 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 _dtype_ctypes.py	py	3.6 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 _exceptions.py	py	5.3 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 _internal.py	py	27.7 KB	20/01/26 19:58	0644	✏️ ⬇
📄 _internal.pyi	pyi	1 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 _machar.py	py	11.3 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 _methods.py	py	8.4 KB	20/01/26 19:58	0644	✏️ ⬇
📄 _multiarray_tests.cpython-311-x86_64-linux-gnu.so	so	171.4 KB	20/01/26 19:58	0755	✏️ ⬇
📄 _multiarray_umath.cpython-311-x86_64-linux-gnu.so	so	6.6 MB	20/01/26 19:58	0755	✏️ ⬇
📄 _operand_flag_tests.cpython-311-x86_64-linux-gnu.so	so	16.5 KB	20/01/26 19:58	0755	✏️ ⬇
📄 _rational_tests.cpython-311-x86_64-linux-gnu.so	so	58.3 KB	20/01/26 19:58	0755	✏️ ⬇
📄 _simd.cpython-311-x86_64-linux-gnu.so	so	2.5 MB	20/01/26 19:58	0755	✏️ ⬇
🐍 _string_helpers.py	py	2.8 KB	20/01/26 19:58	0644	✏️ ⬇
📄 _struct_ufunc_tests.cpython-311-x86_64-linux-gnu.so	so	16.6 KB	20/01/26 19:58	0755	✏️ ⬇
🐍 _type_aliases.py	py	7.4 KB	20/01/26 19:58	0644	✏️ ⬇
📄 _type_aliases.pyi	pyi	404 B	20/01/26 19:58	0644	✏️ ⬇
🐍 _ufunc_config.py	py	13.6 KB	20/01/26 19:58	0644	✏️ ⬇
📄 _ufunc_config.pyi	pyi	1 KB	20/01/26 19:58	0644	✏️ ⬇
📄 _umath_tests.cpython-311-x86_64-linux-gnu.so	so	41 KB	20/01/26 19:58	0755	✏️ ⬇
🐍 arrayprint.py	py	62.1 KB	20/01/26 19:58	0644	✏️ ⬇
📄 arrayprint.pyi	pyi	4.3 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 cversions.py	py	347 B	20/01/26 19:58	0644	✏️ ⬇
🐍 defchararray.py	py	71.9 KB	20/01/26 19:58	0644	✏️ ⬇
📄 defchararray.pyi	pyi	9 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 einsumfunc.py	py	50.7 KB	20/01/26 19:58	0644	✏️ ⬇
📄 einsumfunc.pyi	pyi	4.7 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 fromnumeric.py	py	125.8 KB	20/01/26 19:58	0644	✏️ ⬇
📄 fromnumeric.pyi	pyi	23 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 function_base.py	py	19.4 KB	20/01/26 19:58	0644	✏️ ⬇
📄 function_base.pyi	pyi	4.6 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 generate_numpy_api.py	py	7.5 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 getlimits.py	py	25.3 KB	20/01/26 19:58	0644	✏️ ⬇
📄 getlimits.pyi	pyi	82 B	20/01/26 19:58	0644	✏️ ⬇
🐍 memmap.py	py	11.5 KB	20/01/26 19:58	0644	✏️ ⬇
📄 memmap.pyi	pyi	55 B	20/01/26 19:58	0644	✏️ ⬇
🐍 multiarray.py	py	54.8 KB	20/01/26 19:58	0644	✏️ ⬇
📄 multiarray.pyi	pyi	24.2 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 numeric.py	py	75.2 KB	20/01/26 19:58	0644	✏️ ⬇
📄 numeric.pyi	pyi	13.9 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 numerictypes.py	py	17.7 KB	20/01/26 19:58	0644	✏️ ⬇
📄 numerictypes.pyi	pyi	3.2 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 overrides.py	py	6.9 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 records.py	py	36.7 KB	20/01/26 19:58	0644	✏️ ⬇
📄 records.pyi	pyi	5.6 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 setup.py	py	47.1 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 setup_common.py	py	16.7 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 shape_base.py	py	29 KB	20/01/26 19:58	0644	✏️ ⬇
📄 shape_base.pyi	pyi	2.7 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 umath.py	py	2 KB	20/01/26 19:58	0644	✏️ ⬇
🐍 umath_tests.py	py	389 B	20/01/26 19:58	0644	✏️ ⬇

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