@SuppressWarnings("nullness")
    ListenableFuture<List<V>> nonNull = nullable;
    return nonNull;
  }

  /**
   * Creates a {@link FutureCombiner} that processes the completed futures whether or not they're
   * successful.
   *
   * <p>Any failures from the input futures will not be propagated to the returned future.
   *
   * @since 20.0
   */
  @SafeVarargs

ここでは<a href="https://gunicorn.org/" class="external-link" target="_blank">**Gunicorn**</a>が**Uvicornのワーカー・プロセス**を管理する場合の使い方について紹介していきます。

/// info

<!-- NOTE: the current version of docker.md is outdated compared to English one.  -->
DockerやKubernetesなどのコンテナを使用している場合は、次の章で詳しく説明します： [コンテナ内のFastAPI - Docker](docker.md){.internal-link target=_blank}

     * #queue}, the Executor will complete its tasks, and then restore the interruption. This means
     * that once the Thread returns to the Executor that this Executor composes, the interruption
     * will still be present. If the composed Executor is an ExecutorService, it can respond to
     * shutdown() by returning tasks queued on that Thread after {@link #worker} drains the queue.
     */
    @SuppressWarnings("CatchingUnchecked") // sneaky checked exception

     * #queue}, the Executor will complete its tasks, and then restore the interruption. This means
     * that once the Thread returns to the Executor that this Executor composes, the interruption
     * will still be present. If the composed Executor is an ExecutorService, it can respond to
     * shutdown() by returning tasks queued on that Thread after {@link #worker} drains the queue.
     */
    @SuppressWarnings("CatchingUnchecked") // sneaky checked exception

You can add more than one event handler function.

And your application won't start receiving requests until all the `startup` event handlers have completed.

### `shutdown` event { #shutdown-event }

To add a function that should be run when the application is shutting down, declare it with the event `"shutdown"`:

{* ../../docs_src/events/tutorial002_py39.py hl[6] *}

 * function doing a good job of distributing the elements to the buckets to a distribution not far
 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>As compared with {@link java.util.LinkedHashMap}, this structure places significantly reduced
 * load on the garbage collector by only using a constant number of internal objects.
 *

)

config_setting(
    name = "with_xla_support",
    define_values = {"with_xla_support": "true"},
    visibility = ["//visibility:public"],
)

# By default, XLA GPU is compiled into tensorflow when building with
# --config=cuda even when `with_xla_support` is false. The config setting
# here allows us to override the behavior if needed.
config_setting(
    name = "no_xla_deps_in_cuda",

The API docs use **Swagger UI** and **ReDoc**, and each of those need some JavaScript and CSS files.

By default, those files are served from a <abbr title="Content Delivery Network: A service, normally composed of several servers, that provides static files, like JavaScript and CSS. It's commonly used to serve those files from the server closer to the client, improving performance.">CDN</abbr>.

   * Regression test for an edge case where closing response body in the HTTP engine doesn't release
   * the corresponding stream allocation. This test keeps those response bodies alive and reads
   * them after the redirect has completed. This forces a connection to not be reused where it would
   * be otherwise.
   *
   *
   * This test leaks a response body by not closing it.
   *
   * https://github.com/square/okhttp/issues/2409
   */

    e.execute(runMe);
    fakePool.runAll();

    assertEquals(2, numCalls.get());
  }

  public void testInterrupt_beforeRunRestoresInterruption() throws Exception {
    // Run a task on the composed Executor that interrupts its thread (i.e. this thread).
    fakePool.execute(
        new Runnable() {
          @Override
          public void run() {
            Thread.currentThread().interrupt();
          }