### Docs

* ✏ Fix a simple typo in `docs/en/docs/python-types.md`. PR [#5193](https://github.com/tiangolo/fastapi/pull/5193) by [@GlitchingCore](https://github.com/GlitchingCore).
* ✏ Fix typos in `tests/test_schema_extra_examples.py`. PR [#5126](https://github.com/tiangolo/fastapi/pull/5126) by [@supraaxdd](https://github.com/supraaxdd).

flask >=1.1.2,<4.0.0
strawberry-graphql >=0.200.0,< 1.0.0
anyio[trio] >=3.2.1,<5.0.0
PyJWT==2.9.0
pyyaml >=5.3.1,<7.0.0
pwdlib[argon2] >=0.2.1
inline-snapshot>=0.21.1
pytest-codspeed==4.2.0
# types
types-ujson ==5.10.0.20240515

# Copy from Pydantic v2, compatible with v1
if sys.version_info < (3, 10):
    WithArgsTypes: tuple[Any, ...] = (typing._GenericAlias, types.GenericAlias)  # type: ignore[attr-defined]
else:
    WithArgsTypes: tuple[Any, ...] = (
        typing._GenericAlias,  # type: ignore[attr-defined]
        types.GenericAlias,
        types.UnionType,
    )  # pyright: ignore[reportAttributeAccessIssue]

    # 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
    # TODO: in theory this would allow declaring types that could be lists of UploadFile

<img src="/img/tutorial/dataclasses/image01.png">

## Dataclasses en Estructuras de Datos Anidadas { #dataclasses-in-nested-data-structures }

También puedes combinar `dataclasses` con otras anotaciones de tipos para crear estructuras de datos anidadas.

En algunos casos, todavía podrías tener que usar la versión de `dataclasses` de Pydantic. Por ejemplo, si tienes errores con la documentación de la API generada automáticamente.

    "email-validator >=2.0.0",
    # Uvicorn with uvloop
    "uvicorn[standard] >=0.12.0",
    # # Settings management
    "pydantic-settings >=2.0.0",
    # # Extra Pydantic data types
    "pydantic-extra-types >=2.0.0",
]

standard-no-fastapi-cloud-cli = [
    "fastapi-cli[standard-no-fastapi-cloud-cli] >=0.0.8",
    # For the test client
    "httpx >=0.23.0,<1.0.0",
    # For templates

/// tip | Consejo

Si necesitas GraphQL, aún te recomendaría revisar <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a>, ya que se basa en anotaciones de tipos en lugar de clases y tipos personalizados.

///

## Aprende Más { #learn-more }

Puedes aprender más sobre **GraphQL** en la <a href="https://graphql.org/" class="external-link" target="_blank">documentación oficial de GraphQL</a>.

        require_serial: true
        language: unsupported
        types: [python]

      - id: local-ruff-format
        name: ruff format
        entry: uv run ruff format --force-exclude --exit-non-zero-on-format
        require_serial: true
        language: unsupported
        types: [python]

      - id: add-permalinks-pages
        language: unsupported
        name: add-permalinks-pages

import importlib
from types import ModuleType
from typing import Annotated, Any
from unittest.mock import Mock, patch

import pytest
from fastapi import Depends, FastAPI
from fastapi.testclient import TestClient


@pytest.fixture(
    name="module",
    params=[
        "tutorial008_py39",
        # Fails with `NameError: name 'DepA' is not defined`
        pytest.param("tutorial008_an_py39", marks=pytest.mark.xfail),
    ],
)

import importlib
from types import ModuleType
from unittest.mock import patch

import pytest

from ...utils import needs_py310


@pytest.fixture(
    name="module",
    params=[
        pytest.param("tutorial009_py39"),
        pytest.param("tutorial009_py310", marks=needs_py310),
        pytest.param("tutorial009b_py39"),
    ],
)
def get_module(request: pytest.FixtureRequest):