output_tensors->reserve(noutputs);
  for (int i = 0; i < noutputs; ++i) {
    Node* node = outputs[i].oper ? &outputs[i].oper->node : nullptr;
    int idx = outputs[i].index;
    TF_RETURN_WITH_CONTEXT_IF_ERROR(
        fn_body->graph.IsValidOutputTensor(node, idx),
        "Encountered while processing output ", i, " from function '", fn_name,
        "'");
    TF_RETURN_WITH_CONTEXT_IF_ERROR(ValidateNonRefOutput(node, idx),

</div>

### Модель для выхода { #model-for-output }

Но если использовать ту же модель как выходную, как здесь:

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

…то, поскольку у `description` есть значение по умолчанию, даже если вы **ничего не вернёте** для этого поля, оно всё равно будет иметь это **значение по умолчанию**.

### Модель для данных ответа { #model-for-output-response-data }

</div>

### Eingabe- und Ausgabemodell in der Dokumentation { #model-for-input-and-output-in-docs }

Und wenn Sie alle verfügbaren Schemas (JSON-Schemas) in OpenAPI überprüfen, werden Sie feststellen, dass es zwei gibt, ein `Item-Input` und ein `Item-Output`.

Für `Item-Input` ist `description` **nicht erforderlich**, es hat kein rotes Sternchen.

Aber für `Item-Output` ist `description` **erforderlich**, es hat ein rotes Sternchen.

			if err != nil {
				fatalErr(err)
			}
		}
		output, err := os.Create(outputFileName)
		fatalErr(err)
		msg := fmt.Sprintf("output written to %s", outputFileName)
		err = extractInspectV1(*keyHex, input, output, msg)
		output.Close()
	case len(privateKeys) != 0:
		outputFileName := strings.TrimSuffix(outputFileName, ".zip")
		err = extractInspectV2(privateKeys, input, outputFileName)
	}

        }

    }

    /**
     * Sets the encoding for the output.
     * @param outputEncoding The output encoding to set.
     */
    public void setOutputEncoding(final String outputEncoding) {
        this.outputEncoding = outputEncoding;
    }

    /**
     * Sets the output file extension.
     * @param outputExtension The output file extension to set.
     */

        logStream.printf("formatted %d%n", 42);
        logStream.flush();

        String output = testOutput.toString();
        assertTrue(output.contains("test"));
        assertTrue(output.contains("123"));
        assertTrue(output.contains("true"));
        assertTrue(output.contains("line"));
        assertTrue(output.contains("formatted 42"));
    }

    @Test
    void testDefaultLevel() {

	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 {

		// Print banner with or without the log tag
		if !tagPrinted {
			fmt.Fprint(Output, logBanner)
			tagPrinted = true
		} else {
			fmt.Fprint(Output, emptyBanner)
		}
		// Restore the text color of the error message
		ansiRestoreAttributes()
		ansiMoveRight(bannerWidth)
		// Continue  error message printing
		fmt.Fprintln(Output, line)
	}

	// Exit because this is a fatal error message
	ExitFunc(1)
}

  }

  void Run(const std::vector<std::pair<TF_Operation*, TF_Tensor*>>& inputs,
           TF_Operation* output, int32_t expected_result) {
    Run(inputs, {{output, 0}}, {expected_result});
  }

  // Run the host graph, which now contains a function and check that
  // outputs are as expected.
  // 'T' stands for 'tensor' since the outputs are tensors, not scalars.
  void RunT(const std::vector<std::pair<TF_Operation*, TF_Tensor*>>& inputs,

      ListenableFuture<I> input,
      AsyncFunction<? super I, ? extends O> function,
      Executor executor) {
    AsyncTransformFuture<I, O> output = new AsyncTransformFuture<>(input, function);
    input.addListener(output, rejectionPropagatingExecutor(executor, output));
    return output;
  }

  static <I extends @Nullable Object, O extends @Nullable Object> ListenableFuture<O> create(