// Try to cancel the timer as an optimization.
    // timer may be null if this call to run was by the timer task since there is no happens-before
    // edge between the assignment to timer and an execution of the timer task.
    if (localTimer != null) {
      localTimer.cancel(false);
    }

    delegateRef = null;
    timer = null;
  }

    test to timeout but it could be useful when you need to execute a single
    test or more in general your filtered/selected tests have a very low
    execution time and the sharding
    [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).

2.  Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.

    ```bash

        testData.clear();
        testData.add(createRelatedContent("test", "Updated Content", ""));
        mockBhv.setTestData(testData);

        relatedContentHelper.update();
        // Give a moment for async execution
        try {
            Thread.sleep(100);
        } catch (InterruptedException e) {
            // ignore
        }

        results = relatedContentHelper.getRelatedContents("test");

  public final Throwable failureCause() {
    return snapshot.failureCause();
  }

  /**
   * @since 13.0
   */
  @Override
  public final void addListener(Listener listener, Executor executor) {
    listeners.addListener(listener, executor);
  }

  @Override
  public String toString() {
    return getClass().getSimpleName() + " [" + state() + "]";
  }

  /**

## Deployment Concepts { #deployment-concepts }

Here you saw how to use multiple **workers** to **parallelize** the execution of the application, take advantage of **multiple cores** in the CPU, and be able to serve **more requests**.

        files.
*   Eager Execution:
    *   With eager execution Datasets can now be used as standard python
        iterators (`for batch in dataset:`). Both `Dataset.__iter__()` and
        `Dataset.make_one_shot_iterator()` can now be used to create iterators
        when eager execution is enabled.
    *   Automatic device placement has been enabled (i.e., use a GPU if

    }

    static CancellationException cancellationExceptionWithCause(
        @Nullable String message, @Nullable Throwable cause) {
      CancellationException exception = new CancellationException(message);
      exception.initCause(cause);
      return exception;
    }
  }

// to this graph.

// --------------------------------------------------------------------------
// API for driving Graph execution.

typedef struct TF_Session TF_Session;

// Return a new execution session with the associated graph, or NULL on
// error. Does not take ownership of any input parameters.
//

   * The [exchange] field is assigned to null when its streams end, which may be before or after the
   * network interceptors return.
   */
  internal var interceptorScopedExchange: Exchange? = null
    private set

  // These properties are guarded by `this`. They are typically only accessed by the thread executing

    /** The key of the message: Crawler Execution Time */
    public static final String LABELS_crawling_info_CrawlerExecTime = "{labels.crawling_info_CrawlerExecTime}";

    /** The key of the message: Crawler Status */
    public static final String LABELS_crawling_info_CrawlerStatus = "{labels.crawling_info_CrawlerStatus}";

    /** The key of the message: Crawl Execution Time (Web/File) */