})).status(Status.OK).result());
    }

    // POST /api/admin/duplicatehost/setting
    /**
     * Creates a new duplicate host setting.
     *
     * @param body duplicate host setting data to create
     * @return JSON response with created setting ID and status
     */
    @Execute
    public JsonResponse<ApiResult> post$setting(final CreateBody body) {
        validateApi(body, messages -> {});

* list (as in Python list): list
* context manager: context manager (do not translate to "gestor de contexto" or "administrador de contexto")
* a little bit: un poquito
* graph (data structure, as in "dependency graph"): grafo (do not translate to "gráfico")
* form data: form data (do not translate to "datos de formulario" or "datos de form")
* import (as in code import): import (do not translate to "importación")

	debug                          bool
	versions                       bool
	insecure                       bool
)

// getMD5Sum returns MD5 sum of given data.
func getMD5Sum(data []byte) []byte {
	hash := md5.New()
	hash.Write(data)
	return hash.Sum(nil)
}

func main() {
	flag.StringVar(&endpoint, "endpoint", "https://play.min.io", "S3 endpoint URL")

*.pbxproj
*.xcworkspace
/*.podspec
/tensorflow/lite/**/coreml/**/BUILD
/tensorflow/lite/**/ios/BUILD
/tensorflow/lite/**/objc/BUILD
/tensorflow/lite/**/swift/BUILD
/tensorflow/lite/examples/ios/simple/data/*.tflite
/tensorflow/lite/examples/ios/simple/data/*.txt
Podfile.lock
Pods

			<directory>${project.basedir}/plugins</directory>
			<outputDirectory>fess-${project.version}/es/plugins</outputDirectory>
		</fileSet>
		<!-- es/data -->
		<fileSet>
			<directory>src/main/assemblies/files</directory>
			<outputDirectory>fess-${project.version}/es/data</outputDirectory>
			<excludes>
				<exclude>*</exclude>
			</excludes>
			<filtered>false</filtered>
		</fileSet>
	</fileSets>
	<files>

Keep in mind that if you return a response directly instead of using the `Response` parameter, FastAPI will return it directly.

So, you will have to make sure your data is of the correct type. E.g. it is compatible with JSON, if you are returning a `JSONResponse`.

And also that you are not sending any data that should have been filtered by a `response_model`.

///

### More info { #more-info }

/// note | Technical Details

                                                void* data, size_t len,
                                                TF_Status* status) {
  auto dtype = static_cast<tensorflow::DataType>(data_type);
  DCHECK(tensorflow::DataTypeCanUseMemcpy(dtype));

  tensorflow::Tensor tensor(dtype, tensorflow::TensorShape({}));
  std::memcpy(tensorflow::TensorCApi::Buffer(tensor)->data(), data, len);

  status->status = absl::OkStatus();

OAuth2 especifica que cuando se utiliza el "password flow" (que estamos usando), el cliente/usuario debe enviar campos `username` y `password` como form data.

Y la especificación dice que los campos deben llamarse así. Por lo que `user-name` o `email` no funcionarían.

Pero no te preocupes, puedes mostrarlo como quieras a tus usuarios finales en el frontend.

    /**
     * Create a test byte array with specified size and pattern
     */
    private byte[] createTestData(int size) {
        byte[] data = new byte[size];
        for (int i = 0; i < size; i++) {
            data[i] = (byte) (i % 256);
        }
        return data;
    }

`UploadFile` имеет следующие методы `async`. Все они вызывают соответствующие файловые методы (используя внутренний SpooledTemporaryFile).

* `write(data)`: Записать данные `data` (`str` или `bytes`) в файл.
* `read(size)`: Прочитать количество `size` (`int`) байт/символов из файла.
* `seek(offset)`: Перейти к байту на позиции `offset` (`int`) в файле.