"I",  # isort
    "B",  # flake8-bugbear
    "C4",  # flake8-comprehensions
    "UP",  # pyupgrade
]
ignore = [
    "E501",  # line too long, handled by black
    "B008",  # do not perform function calls in argument defaults
    "C901",  # too complex
    "W191",  # indentation contains tabs
]

[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401"]

Esto funciona de la misma manera que con los modelos de Pydantic. Y en realidad se logra de la misma manera internamente, utilizando Pydantic.

/// info | Información

Ten en cuenta que los dataclasses no pueden hacer todo lo que los modelos de Pydantic pueden hacer.

Así que, podrías necesitar seguir usando modelos de Pydantic.

7. Aqui o `response_model` está usando uma anotação de tipo de uma lista de dataclasses `Author`.

    Novamente, você pode combinar `dataclasses` com anotações de tipo padrão.

8. Note que esta *função de operação de rota* usa `def` regular em vez de `async def`.

    # For coverage
    # TODO: in theory this would allow declaring types that could be lists of bytes
    # to be read from files and other types, but I'm not even sure it's a good idea
    # to support it as a first class "feature"
    assert is_bytes_sequence_annotation(Union[list[str], list[bytes]])


def test_is_uploadfile_sequence_annotation():
    # For coverage

        pytest.param("tutorial002_an_py39"),
        pytest.param("tutorial002_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    clear_sqlmodel()
    # TODO: remove when updating SQL tutorial to use new lifespan API
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        mod = importlib.import_module(f"docs_src.sql_databases.{request.param}")

Dependendo do seu caso de uso, você pode preferir usar uma biblioteca diferente, mas se você me perguntasse, eu provavelmente sugeriria que você experimentasse o **Strawberry**.

        pytest.param("tutorial001_an_py39"),
        pytest.param("tutorial001_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    clear_sqlmodel()
    # TODO: remove when updating SQL tutorial to use new lifespan API
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        mod = importlib.import_module(f"docs_src.sql_databases.{request.param}")

* ✏️ Fix typo in `docs/ja/docs/tutorial/encoder.md`. PR [#13815](https://github.com/fastapi/fastapi/pull/13815) by [@ruzia](https://github.com/ruzia).
* ✏️ Fix typo in `docs/ja/docs/tutorial/handling-errors.md`. PR [#13814](https://github.com/fastapi/fastapi/pull/13814) by [@ruzia](https://github.com/ruzia).

    )

RequiredParam = PydanticUndefined
Undefined = PydanticUndefined
UndefinedType = PydanticUndefinedType
evaluate_forwardref = eval_type_lenient
Validator = Any

# TODO: remove when dropping support for Pydantic < v2.12.3
_Attrs = {
    "default": ...,
    "default_factory": None,
    "alias": None,
    "alias_priority": None,
    "validation_alias": None,

            ]
        }
    )


def test_cookie_param_model_extra(client: TestClient):
    with client as c:
        c.cookies.set("session_id", "123")
        c.cookies.set("extra", "track-me-here-too")
        response = c.get("/items/")
    assert response.status_code == 200
    assert response.json() == snapshot(
        {"session_id": "123", "fatebook_tracker": None, "googall_tracker": None}
    )