}
        },
        directExecutor());
    manager.startAsync();
    afterStarted.countDown();
    // We do not call awaitHealthy because, due to races, that method may throw an exception.  But
    // we really just want to wait for the thread to be in the failure callback so we wait for that
    // explicitly instead.
    failEnter.await();

  }

  // Verify that stack traces of func is copied to graph function library.
  ASSERT_NE(func_stack_traces, nullptr);
  EXPECT_EQ(func_stack_traces->size(), 4);
  EXPECT_EQ(func_stack_traces->at("neg")->ToString({}), kNegStackToString);
  EXPECT_EQ(func_stack_traces->at("feed")->ToString({}), kFeedStackToString);

  // Verify that stack traces of grad_func is copied to graph function library.

  /**
   * Returns a two-dimensional array with the table contents. The row and column indices correspond
   * to the positions of the row and column in the iterables provided during table construction. If
   * the table lacks a mapping for a given row and column, the corresponding array element is null.
   *
   * <p>Subsequent table changes will not modify the array, and vice versa.
   *

   *
   *  * A regular host name, like `android.com`.
   *
   *  * An IPv4 address, like `127.0.0.1`.
   *
   *  * An IPv6 address, like `::1`. Note that there are no square braces.
   *
   *  * An encoded IDN, like `xn--n3h.net`.
   *
   * | URL                   | `host()`        |
   * | :-------------------- | :-------------- |
   * | `http://android.com/` | `"android.com"` |

Son utilisation a conduit à la création de plusieurs générateurs Flask full-stack. Ce sont les principales stacks que
j'ai (ainsi que plusieurs équipes externes) utilisées jusqu'à présent :

* [https://github.com/tiangolo/full-stack](https://github.com/tiangolo/full-stack)

Esta combinación de Flask, Flask-apispec con Marshmallow y Webargs fue mi stack de backend favorito hasta construir **FastAPI**.

Usarlo llevó a la creación de varios generadores de full-stack para Flask. Estos son los principales stacks que yo (y varios equipos externos) hemos estado usando hasta ahora:

* [https://github.com/tiangolo/full-stack](https://github.com/tiangolo/full-stack)

Essa combinação de Flask, Flask-apispec com Marshmallow e Webargs foi a minha stack de backend favorita até construir o **FastAPI**.

Usá-la levou à criação de vários geradores Flask full-stack. Estas são as principais stacks que eu (e várias equipes externas) tenho utilizado até agora:

* [https://github.com/tiangolo/full-stack](https://github.com/tiangolo/full-stack)

        Splitter.on('-').split("Testing-rocks-Debugging-sucks");
    assertThat(testCharacteringMotto)
        .containsExactly("Testing", "rocks", "Debugging", "sucks")
        .inOrder();
  }

  public void testCharacterSplitWithMatcherDelimiter() {
    Iterable<String> testCharacteringMotto =
        Splitter.on(CharMatcher.whitespace()).split("Testing\nrocks\tDebugging sucks");
    assertThat(testCharacteringMotto)

      new AtomicReference<>(immediateVoidFuture());

  @LazyInit private ThreadConfinedTaskQueue latestTaskQueue = new ThreadConfinedTaskQueue();

  /**
   * This object is unsafely published, but avoids problematic races by relying exclusively on the
   * identity equality of its Thread field so that the task field is only accessed by a single
   * thread.
   */
  private static final class ThreadConfinedTaskQueue {
    /**

  /**
   * Returns a two-dimensional array with the table contents. The row and column indices correspond
   * to the positions of the row and column in the iterables provided during table construction. If
   * the table lacks a mapping for a given row and column, the corresponding array element is null.
   *
   * <p>Subsequent table changes will not modify the array, and vice versa.
   *