It is made up of 3 architecture modules:

- **core-runtime**: Provides the runtimes or "containers" in which code runs. These runtimes include the Gradle client, the daemon and the worker processes. This is the base module on which all other architecture modules depend.
- **core-configuration**: Allows the build structure and work, such as tasks, to be specified. This includes the project model, the DSL and so on.

    }

    /**
     * Reads and processes index settings from configuration file.
     *
     * @param fesenType          the search engine type
     * @param indexConfigFile    the path to the index configuration file
     * @param numberOfShards     the number of primary shards
     * @param autoExpandReplicas the auto expand replicas setting
     * @return the processed index settings JSON
     */

	return func(path string) {
			atomic.StorePointer(tracker.name, unsafe.Pointer(&path))
		}, func() {
			p.currentPaths.Delete(disk)
		}
}

// getCurrentPaths returns the paths currently being processed.
func (p *scannerMetrics) getCurrentPaths() []string {
	var res []string
	prefix := globalLocalNodeName + "/"
	p.currentPaths.Range(func(key, value any) bool {

Ce « attendre quelque chose d'autre » fait généralement référence à des opérations <abbr title="Input and Output - Entrées et sorties">I/O</abbr> qui sont relativement « lentes » (comparées à la vitesse du processeur et de la mémoire RAM) telles qu'attendre que :

* de la donnée soit envoyée par le client à travers le réseau
* de la donnée envoyée depuis votre programme soit reçue par le client à travers le réseau

This is the basic idea. But you will probably want to take care of some additional things, like:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

   * method returns.
   *
   * <p>This method does not create any memory pressure as would be required to cause soft
   * references to be processed.
   *
   * @throws RuntimeException if timed out or interrupted while waiting
   * @since 12.0
   */
  public static void awaitFullGc() {
    CountDownLatch finalizerRan = new CountDownLatch(1);

   *       can always page it to disk "for free". However, on systems where killing processes
   *       happens all the time in normal conditions (i.e., android) the OS must make a tradeoff
   *       between paging memory and killing other processes - so allocating a gigantic buffer and
   *       then sequentially accessing it could result in other processes dying. This is solvable
   *       via madvise(2), but that obviously doesn't exist in java.

Tous les systèmes de gestion de conteneurs (comme Docker ou Kubernetes) disposent de ces fonctionnalités réseau intégrées.

## Conteneurs et processus { #containers-and-processes }

   * specified access policy.
   *
   * @param capacity the capacity of this queue
   * @param fair if {@code true} then queue accesses for threads blocked on insertion or removal,
   *     are processed in FIFO order; if {@code false} the access order is unspecified.
   * @throws IllegalArgumentException if {@code capacity} is less than 1
   */
  public MonitorBasedArrayBlockingQueue(int capacity, boolean fair) {

 * </td>
 * </tr>
 * </table>
 *
 * <p>
 * See <a href="../../../pipes.html">Using jCIFS to Connect to Win32
 * Named Pipes</a> for a detailed description of how to use jCIFS with
 * Win32 Named Pipe server processes.
 *
 */

public class SmbNamedPipe extends SmbFile implements SmbPipeResource {

    private final int pipeType;

    /**
     * Open the Named Pipe resource specified by the url