.hasArg()
                    .desc("Log file where all build output will go (disables output color)")
                    .get());
            options.addOption(Option.builder()
                    .longOpt(RAW_STREAMS)
                    .desc("Do not decorate standard output and error streams")
                    .get());
            options.addOption(Option.builder(SHOW_VERSION)

Sie erhalten eine Response wie:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Pydantic `bytes` für Ausgabedaten { #pydantic-bytes-for-output-data }

Sie können in der Modellkonfiguration für Ausgabedaten auch `bytes`-Felder mit `ser_json_bytes` verwenden; Pydantic wird die Bytes bei der Erzeugung der JSON-Response als base64 *serialisieren*.

        .Builder()
        .throttleBody(3, 500, TimeUnit.MILLISECONDS)
        .build(),
    )
    val startNanos = System.nanoTime()
    val connection = server.url("/").toUrl().openConnection()
    connection.doOutput = true
    connection.getOutputStream().write("ABCDEF".toByteArray(UTF_8))
    val inputStream = connection.getInputStream()
    assertThat(inputStream.read()).isEqualTo(-1)

  }

  VLOG(1) << "Running the dequeue op";
  TF_Output output{dequeue_op, 0};
  TF_Tensor* ret;
  TF_SessionRun(session, /*run_options*/ nullptr,
                // input related parameters
                /*inputs*/ nullptr, /*input_values*/ nullptr, /*ninputs*/ 0,
                // output related parameters
                /*outputs*/ &output, /*output_values*/ &ret,
                /*noutputs*/ 1,

	for _, test := range lexTests {
		input := NewInput(test.name)
		input.Push(NewTokenizer(test.name, strings.NewReader(test.input), nil))
		result := drain(input)
		if result != test.output {
			t.Errorf("%s: got %q expected %q", test.name, result, test.output)
		}
	}
}

// lines joins the arguments together as complete lines.
func lines(a ...string) string {
	return strings.Join(a, "\n") + "\n"
}

		{Bucket: "test-getobjectinfo", Name: "Asia/empty-dir/", ContentType: "application/octet-stream", IsDir: true},
	}
	testCases := []struct {
		bucketName string
		objectName string

		// Expected output of GetObjectInfo.
		result ObjectInfo
		err    error
		// Flag indicating whether the test is expected to pass or not.
		shouldPass bool
	}{
		// Test cases with invalid bucket names ( Test number 1-4 ).

      ListenableFuture<V> future) {
    if (future.isDone()) {
      return future;
    }
    NonCancellationPropagatingFuture<V> output = new NonCancellationPropagatingFuture<>(future);
    future.addListener(output, directExecutor());
    return output;
  }

  /** A wrapped future that does not propagate cancellation to its delegate. */

Recibirás una response como:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Pydantic `bytes` para datos de salida { #pydantic-bytes-for-output-data }

También puedes usar campos `bytes` con `ser_json_bytes` en la configuración del modelo para datos de salida, y Pydantic serializará los bytes como base64 al generar la response JSON.

    if (collection == null) {
      return createUnmodifiableEmptyCollection();
    }

    Collection<V> output = createCollection();
    output.addAll(collection);
    totalSize -= collection.size();
    collection.clear();

    return unmodifiableCollectionSubclass(output);
  }

  <E extends @Nullable Object> Collection<E> unmodifiableCollectionSubclass(
      Collection<E> collection) {

        help.execute(context);

        // Verify that logger.info was called multiple times
        // We can't easily verify the exact content without capturing the logger output,
        // but we can verify that the method executes without errors
        Mockito.verify(context.logger, Mockito.atLeastOnce()).info(Mockito.anyString());
    }

    @Test