} else {
      for (i in 0 until executableCalls.size) {
        val asyncCall = executableCalls[i]
        asyncCall.executeOn(executorService)
      }
    }

    return isRunning
  }

  /** Used by [Call.execute] to signal it is in-flight. */
  @Synchronized
  internal fun executed(call: RealCall) = runningSyncCalls.add(call)

  /** Used by [AsyncCall.run] to signal completion. */

    }

    eventListener.canceled(this)
  }

  override fun isCanceled(): Boolean = canceled

  override fun execute(): Response {
    check(executed.compareAndSet(false, true)) { "Already Executed" }

    timeout.enter()
    callStart()
    try {
      client.dispatcher.executed(this)
      return getResponseWithInterceptorChain()
    } finally {
      client.dispatcher.finished(this)
    }
  }

   * tasks. Second, the returned list will always be empty, as any submitted task is considered to
   * have started execution. This applies also to tasks given to {@code invokeAll} or {@code
   * invokeAny} which are pending serial execution, even the subset of the tasks that have not yet
   * started execution. It is unclear from the {@code ExecutorService} specification if these should

                    logger.debug("Process {} is already executed.", p);
                }
            }
        }

        /**
         * Checks if the destroyer has been executed.
         * @return True if executed, false otherwise.
         */
        public boolean isExecuted() {
            return executed.get();
        }
    }

    /**

which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.

 *
 * @since 4.0.0
 */
@Experimental
@Documented
@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.TYPE)
@Inherited
public @interface Execute {
    /**
     * Lifecycle phase to fork. Note that specifying a phase overrides specifying a goal.
     * @return the phase
     */
    @Nonnull
    String phase() default "";

    /**

    /**
     * Executes and optionally caches a batch of requests using the provided supplier function.
     * This method allows for efficient batch processing of multiple requests.
     * <p>
     * The implementation may optimize the execution by:
     * <ul>
     *   <li>Returning cached results for previously executed requests</li>
     *   <li>Grouping similar requests for batch processing</li>

   * tasks. Second, the returned list will always be empty, as any submitted task is considered to
   * have started execution. This applies also to tasks given to {@code invokeAll} or {@code
   * invokeAny} which are pending serial execution, even the subset of the tasks that have not yet
   * started execution. It is unclear from the {@code ExecutorService} specification if these should

        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();

import org.jspecify.annotations.Nullable;

/**
 * Executor ensuring that all Runnables submitted are executed in order, using the provided
 * Executor, and sequentially such that no two will ever be running at the same time.
 *
 * <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.