* under the assumption that for long-running instances, observed
   * contention levels will recur, so the cells will eventually be
   * needed again; and for short-lived ones, it does not matter.
   */

  /**
   * Padded variant of AtomicLong supporting only raw accesses plus CAS. The value field is placed
   * between pads, hoping that the JVM doesn't reorder them.
   *

    for (Future<?> result : results) {
      if (!result.isCancelled()) {
        result.get(10, SECONDS);
      }
      // TODO(cpovirk): Verify that the cancelled futures are exactly ones that we expect.
    }

    assertThat(logHandler.getStoredLogRecords()).isEmpty();
  }

  public void testAvoidsStackOverflow_manySubmitted() throws Exception {

     */
    FAILED,
  }

  /**
   * A listener for the various state changes that a {@link Service} goes through in its lifecycle.
   *
   * <p>All methods are no-ops by default, implementors should override the ones they care about.
   *
   * @author Luke Sandberg
   * @since 15.0 (present as an interface in 13.0)
   */
  abstract class Listener {
    /**

`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

     */
    @Nonnull
    Collection<ProducedArtifact> getAttachedArtifacts(Project project);

    /**
     * Returns project's all artifacts as immutable collection. The list contains all artifacts, even the attached ones,
     * if any. Hence, the list returned by this method depends on which lifecycle step of the build was it invoked.

{!../../docs_src/python_types/tutorial006.py!}
```

Declara la variable con la misma sintaxis de los dos puntos (`:`).

Pon `List` como el tipo.

Como la lista es un tipo que permite tener un "sub-tipo" pones el sub-tipo en corchetes `[]`:

```Python hl_lines="4"
{!../../docs_src/python_types/tutorial006.py!}
```

Esto significa: la variable `items` es una `list` y cada uno de los ítems en esta lista es un `str`.

* el path `/`
* usando una <abbr title="an HTTP GET method">operación <code>get</code></abbr>

/// info | Información sobre `@decorator`

Esa sintaxis `@algo` se llama un "decorador" en Python.

Lo pones encima de una función. Es como un lindo sombrero decorado (creo que de ahí salió el concepto).

Un "decorador" toma la función que tiene debajo y hace algo con ella.

  /**
   * When we need a new thread to run tasks, we call [Backend.execute]. A few microseconds later we
   * expect a newly-started thread to call [Runnable.run]. We shouldn't request new threads until
   * the already-requested ones are in service, otherwise we might create more threads than we need.
   *
   * We use [executeCallCount] and [runCallCount] to defend against starting more threads than we
   * need. Both fields are guarded by [lock].
   */

* Response payloads.

You would also have **inline errors** for everything.

And whenever you update the backend code, and **regenerate** the frontend, it would have any new *path operations* available as methods, the old ones removed, and any other change would be reflected on the generated code. 🤓

	retStr := "{"
	retStr = retStr + expirationStr + ","
	retStr += conditionStr
	retStr += "}"

	return []byte(retStr)
}

// newPostPolicyBytesV4 - creates a bare bones postpolicy string with key and bucket matches.
func newPostPolicyBytesV4(credential, bucketName, objectKey string, expiration time.Time) []byte {
	t := UTCNow()
	// Add the expiration date.