PNG  IHDRxsBIT|d pHYs+tEXtSoftwarewww.inkscape.org<,tEXtComment File Manager

File Manager

Path: /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/core/

Viewing File: 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
b IDATxytVսϓ22 A@IR :hCiZ[v*E:WũZA ^dQeQ @ !jZ'>gsV仿$|?g)&x-EIENT ;@xT.i%-X}SvS5.r/UHz^_$-W"w)Ɗ/@Z &IoX P$K}JzX:;` &, ŋui,e6mX ԵrKb1ԗ)DADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADA݀!I*]R;I2$eZ#ORZSrr6mteffu*((Pu'v{DIߔ4^pIm'77WEEE;vƎ4-$]'RI{\I&G :IHJ DWBB=\WR޽m o$K(V9ABB.}jѢv`^?IOȅ} ڶmG}T#FJ`56$-ھ}FI&v;0(h;Б38CӧOWf!;A i:F_m9s&|q%=#wZprrrla A &P\\СC[A#! {olF} `E2}MK/vV)i{4BffV\|ۭX`b@kɶ@%i$K z5zhmX[IXZ` 'b%$r5M4º/l ԃߖxhʔ)[@=} K6IM}^5k㏷݆z ΗÿO:gdGBmyT/@+Vɶ纽z񕏵l.y޴it뭷zV0[Y^>Wsqs}\/@$(T7f.InݺiR$푔n.~?H))\ZRW'Mo~v Ov6oԃxz! S,&xm/yɞԟ?'uaSѽb,8GלKboi&3t7Y,)JJ c[nzӳdE&KsZLӄ I?@&%ӟ۶mSMMњ0iؐSZ,|J+N ~,0A0!5%Q-YQQa3}$_vVrf9f?S8`zDADADADADADADADADAdqP,تmMmg1V?rSI꒟]u|l RCyEf٢9 jURbztѰ!m5~tGj2DhG*{H9)꒟ר3:(+3\?/;TUݭʴ~S6lڧUJ*i$d(#=Yݺd{,p|3B))q:vN0Y.jkק6;SɶVzHJJЀ-utѹսk>QUU\޲~]fFnK?&ߡ5b=z9)^|u_k-[y%ZNU6 7Mi:]ۦtk[n X(e6Bb."8cۭ|~teuuw|ήI-5"~Uk;ZicEmN/:]M> cQ^uiƞ??Ңpc#TUU3UakNwA`:Y_V-8.KKfRitv޲* 9S6ֿj,ՃNOMߤ]z^fOh|<>@Å5 _/Iu?{SY4hK/2]4%it5q]GGe2%iR| W&f*^]??vq[LgE_3f}Fxu~}qd-ږFxu~I N>\;͗O֊:̗WJ@BhW=y|GgwܷH_NY?)Tdi'?խwhlmQi !SUUsw4kӺe4rfxu-[nHtMFj}H_u~w>)oV}(T'ebʒv3_[+vn@Ȭ\S}ot}w=kHFnxg S 0eޢm~l}uqZfFoZuuEg `zt~? b;t%>WTkķh[2eG8LIWx,^\thrl^Ϊ{=dž<}qV@ ⠨Wy^LF_>0UkDuʫuCs$)Iv:IK;6ֲ4{^6եm+l3>݆uM 9u?>Zc }g~qhKwڭeFMM~pМuqǿz6Tb@8@Y|jx](^]gf}M"tG -w.@vOqh~/HII`S[l.6nØXL9vUcOoB\xoǤ'T&IǍQw_wpv[kmO{w~>#=P1Pɞa-we:iǏlHo׈꒟f9SzH?+shk%Fs:qVhqY`jvO'ρ?PyX3lх]˾uV{ݞ]1,MzYNW~̈́ joYn}ȚF߾׮mS]F z+EDxm/d{F{-W-4wY듏:??_gPf ^3ecg ҵs8R2מz@TANGj)}CNi/R~}c:5{!ZHӋӾ6}T]G]7W6^n 9*,YqOZj:P?Q DFL|?-^.Ɵ7}fFh׶xe2Pscz1&5\cn[=Vn[ĶE鎀uˌd3GII k;lNmشOuuRVfBE]ۣeӶu :X-[(er4~LHi6:Ѻ@ԅrST0trk%$Č0ez" *z"T/X9|8.C5Feg}CQ%͞ˣJvL/?j^h&9xF`њZ(&yF&Iݻfg#W;3^{Wo^4'vV[[K';+mӍִ]AC@W?1^{එyh +^]fm~iԵ]AB@WTk̏t uR?l.OIHiYyԶ]Aˀ7c:q}ힽaf6Z~қm(+sK4{^6}T*UUu]n.:kx{:2 _m=sAߤU@?Z-Vކеz왍Nэ{|5 pڶn b p-@sPg]0G7fy-M{GCF'%{4`=$-Ge\ eU:m+Zt'WjO!OAF@ik&t݆ϥ_ e}=]"Wz_.͜E3leWFih|t-wZۍ-uw=6YN{6|} |*={Ѽn.S.z1zjۻTH]흾 DuDvmvK.`V]yY~sI@t?/ϓ. m&["+P?MzovVЫG3-GRR[(!!\_,^%?v@ҵő m`Y)tem8GMx.))A]Y i`ViW`?^~!S#^+ѽGZj?Vģ0.))A꨷lzL*]OXrY`DBBLOj{-MH'ii-ϰ ok7^ )쭡b]UXSְmռY|5*cֽk0B7镹%ڽP#8nȎq}mJr23_>lE5$iwui+ H~F`IjƵ@q \ @#qG0".0" l`„.0! ,AQHN6qzkKJ#o;`Xv2>,tێJJ7Z/*A .@fفjMzkg @TvZH3Zxu6Ra'%O?/dQ5xYkU]Rֽkق@DaS^RSּ5|BeHNN͘p HvcYcC5:y #`οb;z2.!kr}gUWkyZn=f Pvsn3p~;4p˚=ē~NmI] ¾ 0lH[_L hsh_ғߤc_њec)g7VIZ5yrgk̞W#IjӪv>՞y睝M8[|]\շ8M6%|@PZڨI-m>=k='aiRo-x?>Q.}`Ȏ:Wsmu u > .@,&;+!!˱tﭧDQwRW\vF\~Q7>spYw$%A~;~}6¾ g&if_=j,v+UL1(tWake:@Ș>j$Gq2t7S?vL|]u/ .(0E6Mk6hiۺzښOrifޱxm/Gx> Lal%%~{lBsR4*}{0Z/tNIɚpV^#Lf:u@k#RSu =S^ZyuR/.@n&΃z~B=0eg뺆#,Þ[B/?H uUf7y Wy}Bwegל`Wh(||`l`.;Ws?V@"c:iɍL֯PGv6zctM̠':wuW;d=;EveD}9J@B(0iհ bvP1{\P&G7D޴Iy_$-Qjm~Yrr&]CDv%bh|Yzni_ˆR;kg}nJOIIwyuL}{ЌNj}:+3Y?:WJ/N+Rzd=hb;dj͒suݔ@NKMԄ jqzC5@y°hL m;*5ezᕏ=ep XL n?מ:r`۵tŤZ|1v`V뽧_csج'ߤ%oTuumk%%%h)uy]Nk[n 'b2 l.=͜E%gf$[c;s:V-͞WߤWh-j7]4=F-X]>ZLSi[Y*We;Zan(ӇW|e(HNNP5[= r4tP &0<pc#`vTNV GFqvTi*Tyam$ߏWyE*VJKMTfFw>'$-ؽ.Ho.8c"@DADADADADADADADADA~j*֘,N;Pi3599h=goضLgiJ5փy~}&Zd9p֚ e:|hL``b/d9p? fgg+%%hMgXosج, ΩOl0Zh=xdjLmhݻoO[g_l,8a]٭+ӧ0$I]c]:粹:Teꢢ"5a^Kgh,&= =՟^߶“ߢE ܹS J}I%:8 IDAT~,9/ʃPW'Mo}zNƍ쨓zPbNZ~^z=4mswg;5 Y~SVMRXUյڱRf?s:w ;6H:ºi5-maM&O3;1IKeamZh͛7+##v+c ~u~ca]GnF'ټL~PPPbn voC4R,ӟgg %hq}@#M4IÇ Oy^xMZx ) yOw@HkN˖-Sǎmb]X@n+i͖!++K3gd\$mt$^YfJ\8PRF)77Wא!Cl$i:@@_oG I{$# 8磌ŋ91A (Im7֭>}ߴJq7ޗt^ -[ԩSj*}%]&' -ɓ'ꫯVzzvB#;a 7@GxI{j޼ƌ.LÇWBB7`O"I$/@R @eee@۷>}0,ɒ2$53Xs|cS~rpTYYY} kHc %&k.], @ADADADADADADADADA@lT<%''*Lo^={رc5h %$+CnܸQ3fҥK}vUVVs9G R,_{xˇ3o߾;TTTd}馛]uuuG~iԩ@4bnvmvfϞ /Peeeq}}za I~,誫{UWW뮻}_~YƍSMMMYχ֝waw\ďcxꩧtEƍկ_?۷5@u?1kNׯWzz/wy>}zj3 k(ٺuq_Zvf̘:~ ABQ&r|!%KҥKgԞ={<_X-z !CyFUUz~ ABQIIIjݺW$UXXDٳZ~ ABQƍecW$<(~<RSSvZujjjԧOZQu@4 8m&&&jԩg$ď1h ͟?_{768@g =@`)))5o6m3)ѣƌJ;wҿUTT /KZR{~a=@0o<*狔iFɶ[ˎ;T]]OX@?K.ۈxN pppppppppppppppppPfl߾] ,{ァk۶mڿo5BTӦMӴiӴ|r DB2e|An!Dy'tkΝ[A $***t5' "!駟oaDnΝ:t֭[gDШQ06qD;@ x M6v(PiizmZ4ew"@̴ixf [~-Fٱc&IZ2|n!?$@{[HTɏ#@hȎI# _m(F /6Z3z'\r,r!;w2Z3j=~GY7"I$iI.p_"?pN`y DD?: _  Gÿab7J !Bx@0 Bo cG@`1C[@0G @`0C_u V1 aCX>W ` | `!<S `"<. `#c`?cAC4 ?c p#~@0?:08&_MQ1J h#?/`7;I  q 7a wQ A 1 Hp !#<8/#@1Ul7=S=K.4Z?E_$i@!1!E4?`P_  @Bă10#: "aU,xbFY1 [n|n #'vEH:`xb #vD4Y hi.i&EΖv#O H4IŶ}:Ikh @tZRF#(tXҙzZ ?I3l7q@õ|ۍ1,GpuY Ꮿ@hJv#xxk$ v#9 5 }_$c S#=+"K{F*m7`#%H:NRSp6I?sIՖ{Ap$I$I:QRv2$Z @UJ*$]<FO4IENDB`