*/
    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 */

    }

    // Test execute method with successful execution
    public void test_execute_success() {
        pythonJob.filename("test.py");
        pythonJob.args("arg1", "arg2");

        testProcessHelper.exitValue = 0;
        testProcessHelper.processOutput = "Python script executed successfully";

        String result = pythonJob.execute();

        assertNotNull(result);

```

your program could execute like this:

```mermaid
sequenceDiagram

participant code as Code
participant function as say_hi()
participant execute as Execute function

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: execute function code
        execute ->> code: return the result
    end

    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)));
  }

    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 */

 * {@link #shutDown} and also a {@link #runOneIteration} method that will be executed periodically.
 *
 * <p>This class uses the {@link ScheduledExecutorService} returned from {@link #executor} to run
 * the {@link #startUp} and {@link #shutDown} methods and also uses that service to schedule the
 * {@link #runOneIteration} that will be executed periodically as specified by its {@link

supported platforms (Linux, Windows, MacOS) and is properly isolated from
specifics of a local system, we rely on hermetic Python (see
[rules_python](https://github.com/bazelbuild/rules_python)) for all build
and test commands executed via Bazel. This means that your system Python
installation will be ignored during the build and Python interpreter itself
as well as all the Python dependencies will be managed by bazel directly.

### Specifying Python version

* Add an option `disable_eager_executer_streaming_enqueue` to `tensorflow.ConfigProto.Experimental` to control the eager runtime's behavior around parallel remote function invocations; when set to `True`, the eager runtime will be allowed to execute multiple function invocations in parallel.

* `tf.constant_initializer`

    call.enqueue(callback)
    assertFailsWith<IllegalStateException> {
      call.execute()
    }.also { expected ->
      assertThat(expected.message).isEqualTo("Already Executed")
    }
    assertFailsWith<IllegalStateException> {
      call.enqueue(callback)
    }.also { expected ->
      assertThat(expected.message).isEqualTo("Already Executed")
    }

   * one of the listener's callbacks will execute at once. However, multiple listeners' callbacks
   * may execute concurrently, and listeners may execute in an order different from the one in which
   * they were registered.
   *
   * <p>RuntimeExceptions thrown by a listener will be caught and logged. Any exception thrown
   * during {@code Executor.execute} (e.g., a {@code RejectedExecutionException}) will be caught and