this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their

      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their

      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their

        activeConnections.incrementAndGet();

        if (nonPooled) {
            this.nonPooledConnections.offer(conn);
        } else {
            this.connections.offer(conn);
        }
        return conn;
    }

    /**
     * @param tc
     * @param address
     * @param port
     * @param localAddr
     * @param localPort

## Deeply nested models { #deeply-nested-models }

You can define arbitrarily deeply nested models:

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info

Notice how `Offer` has a list of `Item`s, which in turn have an optional list of `Image`s

///

## Bodies of pure lists { #bodies-of-pure-lists }

  /** The queued items */
  final E[] items;

  /** items index for next take, poll or remove */
  int takeIndex;

  /** items index for next put, offer, or add. */
  int putIndex;

  /** Number of items in the queue */
  private int count;

  /*
   * Concurrency control uses the classic two-condition algorithm
   * found in any textbook.
   */

Você pode definir modelos profundamente aninhados de forma arbitrária:

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info | Informação

Observe como `Offer` tem uma lista de `Item`s, que por sua vez têm uma lista opcional de `Image`s

///

## Corpos de listas puras { #bodies-of-pure-lists }

      checkNotNull(subscribers);
      // requireNonNull accommodates Android's @RecentlyNullable annotation on ThreadLocal.get
      Queue<Event> queueForThread = requireNonNull(queue.get());
      queueForThread.offer(new Event(event, subscribers));

      if (!dispatching.get()) {
        dispatching.set(true);
        try {
          Event nextEvent;
          while ((nextEvent = queueForThread.poll()) != null) {

- Cela fonctionne donc bien pour des fichiers volumineux comme des images, des vidéos, de gros binaires, etc., sans consommer toute la mémoire.
- Vous pouvez obtenir des métadonnées à partir du fichier téléversé.
- Il offre une interface `async` de type [file-like](https://docs.python.org/3/glossary.html#term-file-like-object).

Vous pouvez définir des modèles imbriqués à une profondeur arbitraire :

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info

Remarquez que `Offer` a une liste d’`Item`, qui à leur tour ont une liste optionnelle d’`Image`.

///

## Corps de listes pures { #bodies-of-pure-lists }