for (Callable<T> task : tasks) {
      builder.add(wrapTask(task));
    }
    return builder.build();
  }

  // These methods wrap before delegating.
  @Override
  public final void execute(Runnable command) {
    delegate.execute(wrapTask(command));
  }

  @Override
  public final <T extends @Nullable Object> Future<T> submit(Callable<T> task) {
    return delegate.submit(wrapTask(checkNotNull(task)));
  }

            runCalled.getAndIncrement();
          }
        },
        directExecutor());
    Runnable execute =
        new Runnable() {
          @Override
          public void run() {
            list.execute();
          }
        };
    Thread thread1 = new Thread(execute);
    Thread thread2 = new Thread(execute);
    thread1.start();
    thread2.start();
    assertEquals(0, runCalled.get());

* Any program, any code, **can only do things** when it is being **executed**. So, when there's a **process running**.
* The process can be **terminated** (or "killed") by you, or by the operating system. At that point, it stops running/being executed, and it can **no longer do things**.

 *
 * @since 4.0.0
 */
@Experimental
public interface UpgradeOptions extends Options {
    /**
     * Returns the list of upgrade goals to be executed.
     * These goals can include operations like "check", "dependencies", "plugins", etc.
     *
     * @return an {@link Optional} containing the list of goals, or empty if not specified
     */
    @Nonnull

    /**
     * Retrieve toolchain of specified type from build context. It is expected that
     * <code>maven-toolchains-plugin</code> contains the configuration to select the appropriate
     * toolchain and is executed at the beginning of the build.
     *
     * @param type the type, must not be {@code null}
     * @param context the Maven session, must not be {@code null}

        return this;
    }

    /**
     * Executes the Python script job.
     * Creates a session ID, sets up the execution environment, and runs the Python script
     * with the configured filename and arguments.
     *
     * @return a string containing the execution result and any error messages
     */
    @Override
    public String execute() {
        final StringBuilder resultBuf = new StringBuilder();

    int DCERPC_RESERVED_1 = 0x08;
    /**
     * Supports concurrent multiplexing flag.
     */
    int DCERPC_CONC_MPX = 0x10; /* supports concurrent multiplexing */
    /**
     * Did not execute flag - indicates request was not executed
     */
    int DCERPC_DID_NOT_EXECUTE = 0x20;
    /**
     * Maybe flag - indicates 'maybe' call semantics requested
     */
    int DCERPC_MAYBE = 0x40; /* `maybe' call semantics requested */

 *
 * All event methods must execute fast, without external locking, cannot throw exceptions, attempt
 * to mutate the event parameters, or be re-entrant back into the client. Any IO - writing to files
 * or network should be done asynchronously.
 */
abstract class EventListener {
  /**
   * Invoked as soon as a call is enqueued or executed by a client. In case of thread or stream

// On success, dequeues a tensor from a TF-managed FifoQueue given by
// `tensor_id`, associated with `session`. There must be a graph node named
// "fifo_queue_dequeue_<tensor_id>", to be executed by this API call.

// Caller must call TF_DeleteTensor() over the returned tensor. If the queue is
// empty, this call is blocked.
//
// Tensors are enqueued via the corresponding TF enqueue op.

     * canceled, even if this plan is canceled.
     */
    fun retry(): Plan?
  }

  /**
   * What to do once a plan has executed.
   *
   * If [nextPlan] is not-null, another attempt should be made by following it. If [throwable] is
   * non-null, it should be reported to the user should all further attempts fail.
   *