* complete} or, if the computation is already complete, immediately.
   *
   * <p>There is no guaranteed ordering of execution of listeners, but any listener added through
   * this method is guaranteed to be called once the computation is complete.
   *
   * <p>Exceptions thrown by a listener will be propagated up to the executor. Any exception thrown

  /**
   * Returns a snapshot of tasks currently scheduled for execution. Does not include the
   * currently-executing task unless it is also scheduled for future execution.
   */
  val scheduledTasks: List<Task>
    get() = taskRunner.withLock { futureTasks.toList() }

  /**
   * Schedules [task] for execution in [delayNanos]. A task may only have one future execution

import org.apache.maven.execution.AbstractExecutionListener;
import org.apache.maven.execution.BuildFailure;
import org.apache.maven.execution.BuildSuccess;
import org.apache.maven.execution.BuildSummary;
import org.apache.maven.execution.ExecutionEvent;
import org.apache.maven.execution.MavenExecutionResult;
import org.apache.maven.execution.MavenSession;
import org.apache.maven.plugin.MojoExecution;

        assertTrue(endLatch.await(30, TimeUnit.SECONDS), "All threads should complete within timeout");
        executor.shutdown();

        // Then - Verify no exceptions occurred
        if (!exceptions.isEmpty()) {
            fail("Concurrent operations caused exceptions: " + exceptions.get(0));
        }

        assertEquals(threadCount * opsPerThread, successCount.get(), "All operations should succeed");
    }

    /**

import org.apache.maven.execution.AbstractExecutionListener;
import org.apache.maven.execution.BuildFailure;
import org.apache.maven.execution.BuildSuccess;
import org.apache.maven.execution.BuildSummary;
import org.apache.maven.execution.ExecutionEvent;
import org.apache.maven.execution.MavenExecutionResult;
import org.apache.maven.execution.MavenSession;
import org.apache.maven.plugin.MojoExecution;

  }

  /** Used by [Call.execute] to signal completion. */
  internal fun finished(call: RealCall) {
    promoteAndExecute(finishedCall = call)
  }

  /** Returns a snapshot of the calls currently awaiting execution. */
  @Synchronized
  fun queuedCalls(): List<Call> = readyAsyncCalls.map { it.call }.unmodifiable()

  /** Returns a snapshot of the calls currently being executed. */
  @Synchronized

// Creates a new TensorFlow function. A Function is an execution context, and as
// such it can trace operations through TF_ExecuteOperation. After completing
// tracing, a function can be obtained by TF_FinalizeFunction.
TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* status);

// Creates a context for eager execution of operations.
TF_ExecutionContext* TF_NewEagerExecutionContext(TFE_ContextOptions*,

    return task;
  }

  /**
   * Executes {@code runnable} on the specified {@code executor}, returning a {@code Future} that
   * will complete after execution.
   *
   * @throws RejectedExecutionException if the task cannot be scheduled for execution
   * @since 28.2
   */
  public static ListenableFuture<@Nullable Void> submit(Runnable runnable, Executor executor) {
    TrustedListenableFutureTask<@Nullable Void> task =

 *
 * <p>Tasks submitted to {@link #execute(Runnable)} are executed in FIFO order.
 *
 * <p>The execution of tasks is done by one thread as long as there are tasks left in the queue.
 * When a task is {@linkplain Thread#interrupt interrupted}, execution of subsequent tasks
 * continues. See {@link QueueWorker#workOnQueue} for details.
 *

        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