#### The time to answer helps the attackers

At that point, by noticing that the server took some microseconds longer to send the "Incorrect username or password" response, the attackers will know that they got _something_ right, some of the initial letters were right.

<a href="https://platform.sh/try-it-now/?utm_source=fastapi-signup&utm_medium=banner&utm_campaign=FastAPI-signup-June-2023" target="_blank" title="Build, run and scale your apps on a modern, reliable, and secure PaaS."><img src="https://fastapi.tiangolo.com/img/sponsors/platform-sh.png"></a>

    Because Pewee doesn't play well with anything async and there are better alternatives, I won't update these docs for Pydantic v2, they are kept for now only for historical purposes.

    The examples here are no longer tested in CI (as they were before).

    title: "CryptAPI: Your easy to use, secure and privacy oriented payment gateway."
    img: https://fastapi.tiangolo.com/img/sponsors/cryptapi.svg
  - url: https://platform.sh/try-it-now/?utm_source=fastapi-signup&utm_medium=banner&utm_campaign=FastAPI-signup-June-2023
    title: "Build, run and scale your apps on a modern, reliable, and secure PaaS."
    img: https://fastapi.tiangolo.com/img/sponsors/platform-sh.png
  - url: https://www.porter.run

!!! warning
    The recommended way to handle the *startup* and *shutdown* is using the `lifespan` parameter of the `FastAPI` app as described above. If you provide a `lifespan` parameter, `startup` and `shutdown` event handlers will no longer be called. It's all `lifespan` or all events, not both.

    You can probably skip this part.

There's an alternative way to define this logic to be executed during *startup* and during *shutdown*.

* `float`
* `bool`
* `bytes`

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial005.py!}
```

### Tipos genéricos com parâmetros de tipo

Existem algumas estruturas de dados que podem conter outros valores, como `dict`, `list`, `set` e `tuple`. E os valores internos também podem ter seu próprio tipo.

Para declarar esses tipos e os tipos internos, você pode usar o módulo Python padrão `typing`.

Chaque attribut possède un type.

Puis vous créez une instance de cette classe avec certaines valeurs et **Pydantic** validera les valeurs, les convertira dans le type adéquat (si c'est nécessaire et possible) et vous donnera un objet avec toute la donnée.

Ainsi, votre éditeur vous offrira un support adapté pour l'objet résultant.

Extrait de la documentation officielle de **Pydantic** :

```Python

        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - uses: actions/cache@v4
        id: cache
        with:
          path: ${{ env.pythonLocation }}
          key: ${{ runner.os }}-python-docs-${{ env.pythonLocation }}-${{ hashFiles('pyproject.toml', 'requirements-docs.txt', 'requirements-docs-tests.txt') }}-v07
      - name: Install docs extras
        if: steps.cache.outputs.cache-hit != 'true'

        return app.openapi_schema
    openapi_schema = get_openapi(
        title="Custom title",
        version="2.5.0",
        summary="This is a very custom OpenAPI schema",
        description="Here's a longer description of the custom **OpenAPI** schema",
        routes=app.routes,
    )
    openapi_schema["info"]["x-logo"] = {
        "url": "https://fastapi.tiangolo.com/img/logo-margin/logo-teal.png"
    }

    assert response.json() == {
        "openapi": "3.1.0",
        "info": {
            "title": "Custom title",
            "summary": "This is a very custom OpenAPI schema",
            "description": "Here's a longer description of the custom **OpenAPI** schema",
            "version": "2.5.0",
            "x-logo": {
                "url": "https://fastapi.tiangolo.com/img/logo-margin/logo-teal.png"
            },
        },