sink: Buffer,
          byteCount: Long,
        ): Long {
          check(!closed)
          return data.read(sink, byteCount)
        }

        override fun timeout(): Timeout = Timeout.NONE
      }
    return source.buffer().asResponseBody(null, -1)
  }

  private fun newResponse(
    responseBody: ResponseBody,
    code: Int = 200,
    fn: Response.Builder.() -> Unit = {},
  ): Response =

```Python
print(user_dict)
```

obtendremos un `dict` de Python con:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Desempaquetando un `dict`

   */
  SUPPORTS_ADD,
  /**
   * Support for {@link ListIterator#set(Object)}; ignored for plain {@link Iterator}
   * implementations.
   */
  SUPPORTS_SET;

  /**
   * A set containing none of the optional features of the {@link Iterator} or {@link ListIterator}
   * interfaces.
   */
  public static final Set<IteratorFeature> UNMODIFIABLE = emptySet();

  /**

* `swagger_js_url`: the URL where the HTML for your Swagger UI docs can get the **JavaScript** file. **This is the one that your own app is now serving**.
* `swagger_css_url`: the URL where the HTML for your Swagger UI docs can get the **CSS** file. **This is the one that your own app is now serving**.

And similarly for ReDoc...

{* ../../docs_src/custom_docs_ui/tutorial002.py hl[2:6,14:22,25:27,30:36] *}

///

## Reduce duplication { #reduce-duplication }

Reducing code duplication is one of the core ideas in **FastAPI**.

As code duplication increments the chances of bugs, security issues, code desynchronization issues (when you update in one place but not in the others), etc.

And these models are all sharing a lot of the data and duplicating attribute names and types.

## レスポンスモデルのエンコーディングパラメータ

レスポンスモデルにはデフォルト値を設定することができます:

{* ../../docs_src/response_model/tutorial004.py hl[11,13,14] *}

* `description: str = None`は`None`がデフォルト値です。
* `tax: float = 10.5`は`10.5`がデフォルト値です。
* `tags: List[str] = []` は空のリスト（`[]`）がデフォルト値です。

しかし、実際に保存されていない場合には結果からそれらを省略した方が良いかもしれません。

     * contributed by {@link ModelBuilderRequest#getProfiles()}.
     *
     * @return The active external profiles or an empty list if none, never {@code null}.
     */
    @Nonnull
    List<Profile> getActiveExternalProfiles();

    /**
     * Gets the problem collector that collected problems encountered during the project building.
     *

    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1"))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")

クエリパラメータの宣言と同様に、モデル属性がデフォルト値をもつとき、必須な属性ではなくなります。それ以外は必須になります。オプショナルな属性にしたい場合は `None` を使用してください。

例えば、上記のモデルは以下の様なJSON「`オブジェクト`」(もしくはPythonの `dict` ) を宣言しています:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

...`description` と `tax` はオプショナル (デフォルト値は `None`) なので、以下のJSON「`オブジェクト`」も有効です:

```JSON
{
    "name": "Foo",
    "price": 45.2

        };

    MyTestSuiteBuilder builder = new MyTestSuiteBuilder();
    Test test =
        builder
            .usingGenerator("yam")
            .named("yam")
            .withFeatures(CollectionFeature.NONE)
            .withSetUp(setUpRunnable)
            .withTearDown(tearDownRunnable)
            .createTestSuite();
    TestResult result = new TestResult();