// Wait for the first task to be started in the background. It will block until we explicitly
    // stop it.
    blockingCallable.waitForStart();

    // Give the second task a chance to (incorrectly) start up while the first task is running.
    assertThat(future2.isDone()).isFalse();

    // Stop the first task. The second task should then run.
    blockingCallable.stop();
    executor.shutdown();

### Peça para encerrar { #ask-to-close }

Se a pessoa responder, há uma grande chance de você ter resolvido o problema, parabéns, **você é um herói**! 🦸

* Agora, se isso resolveu o problema, você pode pedir para:

    * No GitHub Discussions: marcar o comentário como a **resposta**.

	// Memory Ordering Instructions
	FENCE		X1, R				// ERROR "invalid FENCE predecessor operand"
	FENCE		R, X2				// ERROR "invalid FENCE successor operand"
	FENCE		$1, R				// ERROR "invalid FENCE predecessor operand"
	FENCE		R, $2				// ERROR "invalid FENCE successor operand"
	FENCE.TSO	R, R				// ERROR "FENCE.TSO must not have operands"

	//

# We use the shell's default value substitution to ensure that if these are
# already set (e.g. poisoned for RBE), we don't overwrite them with empty values
# before setup.sh has a chance to restore the TFCI_ variables.
export BAZEL_VC="${TFCI_BAZEL_VC:-$BAZEL_VC}"
export BAZEL_LLVM="${TFCI_BAZEL_LLVM:-$BAZEL_LLVM}"
export BAZEL_SH="${TFCI_BAZEL_SH:-$BAZEL_SH}"

      }
    }
    return false;
  }

  /**
   * Closed addressing tends to perform well even with high load factors. Being conservative here
   * ensures that the table is still likely to be relatively sparse (hence it misses fast) while
   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.0;

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random

   * containing {@code ["a", "b", "c,d"]}. When omitting empty strings, the omitted strings do not
   * count. Hence, {@code Splitter.on(',').limit(3).omitEmptyStrings().split("a,,,b,,,c,d")} returns
   * an iterable containing {@code ["a", "b", "c,d"]}. When trim is requested, all entries are
   * trimmed, including the last. Hence {@code Splitter.on(',').limit(3).trimResults().split(" a , b

  public void testValueSetHashTableExpansion() {
    LinkedHashMultimap<String, Integer> multimap = LinkedHashMultimap.create();
    for (int z = 1; z <= 100; z++) {
      multimap.put("a", z);
      // The Eclipse compiler (and hence GWT) rejects a parameterized cast.
      @SuppressWarnings("unchecked")
      LinkedHashMultimap<String, Integer>.ValueSet valueSet =
          (LinkedHashMultimap.ValueSet) multimap.backingMap().get("a");

</blockquote>

## Recherche { #investigation }

En utilisant toutes les alternatives précédentes, j'ai eu la chance d'apprendre de toutes, de prendre des idées, et de les combiner de la meilleure façon que j'ai pu trouver pour moi-même et les équipes de développeurs avec lesquelles j'ai travaillé.

Then you declare your data model as a class that inherits from `BaseModel`.

Use standard Python types for all the attributes:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}


The same as when declaring query parameters, when a model attribute has a default value, it is not required. Otherwise, it is required. Use `None` to make it just optional.

For example, this model above declares a JSON "`object`" (or Python `dict`) like:

```JSON

 * you want to throw away the class loader. For example, dynamically reloading a web application or
 * unloading an OSGi bundle.
 *
 * <p>{@code com.google.common.base.FinalizableReferenceQueue} loads this class in its own class
 * loader. That way, this class doesn't prevent the main class loader from getting garbage