}

  /**
   * Creates a new {@code ConcurrentHashMultiset} containing the specified elements, using the
   * default initial capacity, load factor, and concurrency settings.
   *
   * <p>This implementation is highly efficient when {@code elements} is itself a {@link Multiset}.
   *
   * @param elements the elements that the multiset should contain
   */

You can also return Pydantic models (you'll see more about that later).

There are many other objects and models that will be automatically converted to JSON (including ORMs, etc). Try using your favorite ones, it's highly probable that they are already supported.

### Step 6: Deploy it { #step-6-deploy-it }

Deploy your app to **[FastAPI Cloud](https://fastapicloud.com)** with one command: `fastapi deploy`. 🎉

  }

  /**
   * Creates a new {@code ConcurrentHashMultiset} containing the specified elements, using the
   * default initial capacity, load factor, and concurrency settings.
   *
   * <p>This implementation is highly efficient when {@code elements} is itself a {@link Multiset}.
   *
   * @param elements the elements that the multiset should contain
   */

        : new TreeMultiset<E>(comparator);
  }

  /**
   * Creates an empty multiset containing the given initial elements, sorted according to the
   * elements' natural order.
   *
   * <p>This implementation is highly efficient when {@code elements} is itself a {@link Multiset}.
   *
   * <p>The type specification is {@code <E extends Comparable>}, instead of the more specific

        }

        ComponentUtil.getLanguageHelper().updateDocument(map);
    }

    /**
     * Adds a boost value to the document for search relevance scoring.
     * The boost value affects how highly the document will rank in search results.
     *
     * @param map the document data map to add the boost value to
     * @param documentBoost the boost value to apply to the document
     */

// the device is not usable. In case of a bad status, `device.delete_device` is
// still called on `device_info` (i.e. the caller does not retain ownership).
//
// This API is highly experimental, and in particular is expected to change when
// it starts supporting operations with attributes and when tf.function support
// is added.
TF_CAPI_EXPORT extern void TFE_RegisterCustomDevice(TFE_Context* ctx,

And even if you were not using FastAPI, you could also write your own async applications with [AnyIO](https://anyio.readthedocs.io/en/stable/) to be highly compatible and get its benefits (e.g. *structured concurrency*).

	if objAPI == nil {
		return np, grid.NewRemoteErr(errServerNotInitialized)
	}

	pools, ok := objAPI.(*erasureServerPools)
	if !ok {
		return np, nerr
	}

	// No need to return errors, this is not a highly strict operation.
	uploadID := mss.Get(peerRESTUploadID)
	if uploadID != "" {
		pools.ClearUploadID(uploadID)
	}

	return np, nerr
}

   *
   * <p>The benefits of creating our own queue are that (1) we can replace elements in the middle of
   * the queue as part of copyWriteEntry, and (2) the contains method is highly optimized for the
   * current model.
   */
  static final class WriteQueue<K, V> extends AbstractQueue<ReferenceEntry<K, V>> {
    final ReferenceEntry<K, V> head =
        new AbstractReferenceEntry<K, V>() {

   *
   * <p>The benefits of creating our own queue are that (1) we can replace elements in the middle of
   * the queue as part of copyWriteEntry, and (2) the contains method is highly optimized for the
   * current model.
   */
  static final class WriteQueue<K, V> extends AbstractQueue<ReferenceEntry<K, V>> {
    final ReferenceEntry<K, V> head =
        new AbstractReferenceEntry<K, V>() {