for len(output) > 0 && (output[0] < want || output[0] != want && len(output[0]) >= 5 && output[0][:5] == want[:5]) {
			if len(output[0]) >= 5 && output[0][:5] == want[:5] {
				t.Errorf("mismatched output:\nhave %s\nwant %s", output[0], want)
				output = output[1:]
				continue Diff
			}
			t.Errorf("unexpected output: %q", output[0])
			output = output[1:]
		}

//
// Note that when the same TF_Output is listed as both an input and an output,
// the corresponding function's output will equal to this input,
// instead of the original node's output.
//
// Callers must also satisfy the following constraints:
// - `inputs` cannot refer to TF_Outputs within a control flow context. For
//   example, one cannot use the output of "switch" node as input.

	msg := color.RedBold(entry.Trace.Message)
	output := fmt.Sprintf("\n%s\n%s%s%s%s%s%s\nError: %s%s\n%s",
		apiString, timeString, deploymentID, requestID, remoteHost, host, userAgent,
		msg, tagString, strings.Join(trace, "\n"))

	fmt.Fprintln(c.output, output)
	return nil
}

// New initializes a new logger target
// which prints log directly in the standard
// output.
func New(w io.Writer) *Target {

    )
    assert result.exit_code == 0, result.output

    fixed_content = (root_dir / "docs" / "lang" / "docs" / "doc.md").read_text("utf-8")
    expected_content = (data_path / "translated_doc_expected.md").read_text("utf-8")
    assert fixed_content == expected_content

    assert "Fixing multiline code blocks in" in result.output

  int num_dims_out = TF_NumDims(model_out_tensor);
  TF_DeleteTensor(model_out_tensor);

  // If the output is a scalar, then return the scalar output
  if (num_dims_out == 0) {
    outputs[0] = model_out.release();
    return absl::OkStatus();
  }

  // Else, reduce sum the output to get a scalar

  // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1].
  AbstractTensorHandlePtr sum_dims;

    }

    /**
     * Gets the new output synonyms.
     * Returns a defensive copy to prevent external modification.
     *
     * @return The new output synonyms (defensive copy).
     */
    public String[] getNewOutputs() {
        return newOutputs == null ? null : newOutputs.clone();
    }

    /**
     * Sets the new output synonyms.
     *
     * @param newOutputs The new output synonyms.

    @Override
    public void write(File output, Map<String, Object> options, Settings settings) throws IOException {
        Objects.requireNonNull(output, "output cannot be null");
        Objects.requireNonNull(settings, "settings cannot be null");

        output.getParentFile().mkdirs();

        write(Files.newOutputStream(output.toPath()), options, settings);
    }

    @Override

@GwtIncompatible
@J2ktIncompatible
final class Serialization {
  private Serialization() {}

  /**
   * Stores the contents of a map in an output stream, as part of serialization. It does not support
   * concurrent maps whose content may change while the method is running.
   *
   * <p>The serialized output consists of the number of entries, first key, first value, second key,
   * second value, and so on.
   */

 */
@Deprecated(since = "4.0.0")
public interface ModelWriter {

    /**
     * Writes the supplied model to the specified file. Any non-existing parent directories of the output file will be
     * created automatically.
     *
     * @param output The file to serialize the model to, must not be {@code null}.
     * @param options The options to use for serialization, may be {@code null} to use the default values.

</div>

### Modelo para Salida { #model-for-output }

Pero si usas el mismo modelo como salida, como aquí:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py hl[19] *}

...entonces, porque `description` tiene un valor por defecto, si **no devuelves nada** para ese campo, aún tendrá ese **valor por defecto**.

### Modelo para Datos de Response de Salida { #model-for-output-response-data }