void TF_SetTracingImplementation(const char* name, TF_Status* s) {
  tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name));
}

// Creates a new TensorFlow function, it is an execution context attached to a
// given tracing context.
TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) {
  return wrap(CreateTracingExecutionContext(fn_name, s));
}

import org.junit.jupiter.api.Tag;
import org.junit.jupiter.api.Test;

import io.restassured.RestAssured;
import io.restassured.path.json.JsonPath;

/**
 * Integration Tests which need an execution of crawler
 * - /api/admin/joblog
 * - /api/admin/crawlinginfo
 * - /api/admin/failureurl
 * - /api/admin/searchlist
 * */
@Tag("it")
public class CrawlerLogTests extends CrawlTestBase {

    // 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

//   - How are requests for this priority level limited?
//   - What should be done with requests that exceed the limit?
message LimitedPriorityLevelConfiguration {
  // `assuredConcurrencyShares` (ACS) configures the execution
  // limit, which is a limit on the number of requests of this
  // priority level that may be exeucting at a given time.  ACS must
  // be a positive number. The server's concurrency limit (SCL) is

* the contents your program gave to the system to be written to disk
* a remote API operation
* a database operation to finish
* a database query to return the results
* etc.

As the execution time is consumed mostly by waiting for <abbr title="Input and Output">I/O</abbr> operations, they call them "I/O bound" operations.

## 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**.

  @Override
  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() + "]";
  }

  /**

      final Runnable runnable;
      final Executor executor;

      RunnableExecutorPair(Runnable runnable, Executor executor) {
        this.runnable = runnable;
        this.executor = executor;
      }

      void execute() {
        try {
          executor.execute(runnable);
        } catch (RuntimeException e) {
          log.log(
              Level.SEVERE,

 *      <td>When this goal is invoked, it will first invoke a parallel lifecycle, ending at the given phase.
 *          If a goal is provided instead of a phase, that goal will be executed in isolation.
 *          The execution of either will not affect the current project, but instead make available the
 *          <code>${executedProject}</code> expression if required. An alternate lifecycle can also be provided: