user = get_user(fake_db, username)
    if not user:
        return False
    if not verify_password(password, user.hashed_password):
        return False
    return user


def create_access_token(data: dict, expires_delta: timedelta | None = None):
    to_encode = data.copy()
    if expires_delta:
        expire = datetime.now(timezone.utc) + expires_delta
    else:

     * now depends upon d, which has a transitive dependency on c.  Even though
     * we did list an exclusion on c, it was only from within the context of
     * project b.  We will pick up project c in this case because no
     * restrictions were placed on d.  This demonstrates that a, b, c, & d will
     * all be collected.
     *
     * @throws Exception
     */
    @Test

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.dict.synonym;

import java.util.ArrayList;
import java.util.Date;
import java.util.List;

import org.codelibs.fess.dict.DictionaryFile.PagingList;
import org.codelibs.fess.unit.UnitFessTestCase;

public class SynonymFileTest extends UnitFessTestCase {

```Python hl_lines="1  7-8"
{!../../docs_src/response_headers/tutorial002.py!}
```

Anschließend können Sie wie gewohnt jedes gewünschte Objekt zurückgeben (ein `dict`, ein Datenbankmodell, usw.).

Und wenn Sie ein `response_model` deklariert haben, wird es weiterhin zum Filtern und Konvertieren des von Ihnen zurückgegebenen Objekts verwendet.

And then you can set headers in that *temporal* response object.

```Python hl_lines="1  7-8"
{!../../docs_src/response_headers/tutorial002.py!}
```

And then you can return any object you need, as you normally would (a `dict`, a database model, etc).

And if you declared a `response_model`, it will still be used to filter and convert the object you returned.

```Python hl_lines="1  7-8"
{!../../docs_src/response_headers/tutorial002.py!}
```

Posteriormente, puedes devolver cualquier objeto que necesites, como normalmente harías (un `dict`, un modelo de base de datos, etc).

Si declaraste un `response_model`, este se continuará usando para filtrar y convertir el objeto que devolviste.

Наприклад, ця модель вище оголошує JSON "`об'єкт`" (або Python `dict`), як:

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

  /** Type hints scoped to the call stack, manipulated with [pushTypeHint] and [popTypeHint]. */
  private val typeHintStack = mutableListOf<Any?>()

  /**
   * The type hint for the current object. Used to pick adapters based on other fields, such as
   * in extensions which have different types depending on their extension ID.
   */
  var typeHint: Any?
    get() = typeHintStack.lastOrNull()
    set(value) {

* An optional query parameter `skip` that is an `int`, and by default is `0`.
* An optional query parameter `limit` that is an `int`, and by default is `100`.

And then it just returns a `dict` containing those values.

/// info

FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0.

If you have an older version, you would get errors when trying to use `Annotated`.

Но, по умолчанию, всё это **"и так работает"**.

### Проверка значений

* Проверка значений для большинства (или всех?) **типов данных**  Python, включая:
    * Объекты JSON (`dict`).
    * Массивы JSON (`list`) с установленными типами элементов.
    * Строковые (`str`) поля с ограничением минимальной и максимальной длины.
    * Числа (`int`, `float`) с минимальными и максимальными значениями и т.п.