Así que, puedes declarar "objetos" JSON anidados profundamente con nombres de atributos específicos, tipos y validaciones.

Todo eso, de manera arbitraria.

### Definir un submodelo { #define-a-submodel }

Por ejemplo, podemos definir un modelo `Image`:

{* ../../docs_src/body_nested_models/tutorial004_py310.py hl[7:9] *}

### Usar el submodelo como tipo { #use-the-submodel-as-a-type }

///

## Импорт `File` { #import-file }

Импортируйте `File` и `UploadFile` из модуля `fastapi`:

{* ../../docs_src/request_files/tutorial001_an_py39.py hl[3] *}

## Определите параметры `File` { #define-file-parameters }

Создайте параметры `File` так же, как вы это делаете для `Body` или `Form`:

{* ../../docs_src/request_files/tutorial001_an_py39.py hl[9] *}

/// info | Дополнительная информация

explicitly in Go to pointers to arrays, as they do (implicitly) in C.

Garbage collection is the big problem.  It is fine for the Go world to
have pointers into the C world and to free those pointers when they
are no longer needed.  To help, the Go code can define Go objects
holding the C pointers and use runtime.SetFinalizer on those Go objects.

It is much more difficult for the C world to have pointers into the Go

If the nested type is a managed type (Gradle can generate its implementation), you can define a nested property with:
```
interface NestedType {
    Property<String> getSomeProperty()
}
class Example {
    @Nested
    NestedType getNestedProperty()
}
```

    SUBMULTISET,
    DESCENDING;

    @Override
    public Set<Feature<? super Void>> getImpliedFeatures() {
      return emptySet();
    }
  }

  /** Two bounds (from and to) define how to build a subMultiset. */
  enum Bound {
    INCLUSIVE,
    EXCLUSIVE,
    NO_BOUND;
  }

  List<TestSuite> createDerivedSuites(SortedMultisetTestSuiteBuilder<E> parentBuilder) {

```

### More technical details { #more-technical-details }

You might have noticed that `await` can only be used inside of functions defined with `async def`.

But at the same time, functions defined with `async def` have to be "awaited". So, functions with `async def` can only be called inside of functions defined with `async def` too.

So, about the egg and the chicken, how do you call the first `async` function?

    # Overriding eigen strong inline speeds up the compiling of
    # conv_grad_ops_3d.cc and conv_ops_3d.cc by 20 minutes,
    # but this also hurts the performance. Let users decide what they want.
    write_to_bazelrc('build --define=override_eigen_strong_inline=true')


def config_info_line(name, help_text):
  """Helper function to print formatted help text for Bazel config options."""

Crea una variable `ALGORITHM` con el algoritmo usado para firmar el token JWT y configúralo a `"HS256"`.

Crea una variable para la expiración del token.

Define un Modelo de Pydantic que se usará en el endpoint de token para el response.

Crea una función de utilidad para generar un nuevo token de acceso.

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_C_API_EXPERIMENTAL_H_
#define TENSORFLOW_C_C_API_EXPERIMENTAL_H_

#include <stddef.h>
#include <stdint.h>

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_macros.h"
#include "tensorflow/c/eager/c_api.h"

                .optionalArg(true)
                .desc("Defines the color mode of the output. Supported are 'auto', 'always', 'never'.")
                .build());
        options.addOption(Option.builder(CACHE_ARTIFACT_NOT_FOUND)
                .longOpt("cache-artifact-not-found")
                .hasArg()
                .desc(