// Output: true
}

func ExampleFields() {
	fmt.Printf("Fields are: %q", bytes.Fields([]byte("  foo bar  baz   ")))
	// Output: Fields are: ["foo" "bar" "baz"]
}

func ExampleFieldsFunc() {
	f := func(c rune) bool {
		return !unicode.IsLetter(c) && !unicode.IsNumber(c)
	}
	fmt.Printf("Fields are: %q", bytes.FieldsFunc([]byte("  foo1;bar2,baz3..."), f))
	// Output: Fields are: ["foo1" "bar2" "baz3"]

		if err != nil {
			return nil, err
		}

		// Pick output column names
		if expr.As != "" {
			output, err = output.Set(expr.As, v)
		} else if comp, ok := getLastKeypathComponent(expr.Expression); ok {
			output, err = output.Set(comp, v)
		} else {
			output, err = output.Set(fmt.Sprintf("_%d", i+1), v)
		}
		if err != nil {
			return nil, err
		}
	}

                                "default": "alpha",
                            },
                            "output": {"type": "string", "title": "Output"},
                        },
                        "type": "object",
                        "required": ["output"],
                        "title": "MessageEvent",
                    },
                    "MessageEventType": {

</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>

### Model for Output { #model-for-output }

But if you use the same model as an output, like here:

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

...then because `description` has a default value, if you **don't return anything** for that field, it will still have that **default value**.

### Model for Output Response Data { #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.

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

        output.getParentFile().mkdirs();

        write(WriterFactory.newXmlWriter(output), options, model);
    }

    @Override

		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:]
		}

			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)
	}

  }
  return outputs;
}

void TFOutputsFromOutputs(const std::vector<tensorflow::Output>& outputs,
                          TF_Output* tf_outputs) {
  for (int i = 0; i < outputs.size(); i++) {
    tf_outputs[i].oper = ToOperation(outputs[i].node());
    tf_outputs[i].index = outputs[i].index();
  }
}
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)