pytest.param("tutorial010_an_py39"),
        pytest.param("tutorial010_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(
        f"docs_src.query_params_str_validations.{request.param}"
    )

    client = TestClient(mod.app)
    return client


def test_query_params_str_validations_no_query(client: TestClient):
    response = client.get("/items/")

@pytest.fixture(
    name="client",
    params=[
        "tutorial002_py39",
        "tutorial002_an_py39",
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.request_form_models.{request.param}")

    client = TestClient(mod.app)
    return client


def test_post_body_form(client: TestClient):

        pytest.param("tutorial001_01_py39"),
        pytest.param("tutorial001_01_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.response_model.{request.param}")

    client = TestClient(mod.app)
    return client


def test_read_items(client: TestClient):
    response = client.get("/items/")

        pytest.param("tutorial001_an_py310", marks=needs_py310),
    ],
)
def get_test_module(request: pytest.FixtureRequest) -> ModuleType:
    mod: ModuleType = importlib.import_module(
        f"docs_src.dependency_testing.{request.param}"
    )
    return mod


def test_override_in_items_run(test_module: ModuleType):
    test_override_in_items = test_module.test_override_in_items

    test_override_in_items()

同様に、このデータベースはPydanticモデル（属性を持つオブジェクト）を受け取らず、`dict`だけを受け取ります。

そのために`jsonable_encoder`を使用することができます。

Pydanticモデルのようなオブジェクトを受け取り、JSON互換版を返します:

{* ../../docs_src/encoder/tutorial001.py hl[5,22] *}

この例では、Pydanticモデルを`dict`に、`datetime`を`str`に変換します。

    params=[
        pytest.param("tutorial006_py39"),
        pytest.param("tutorial006_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body_nested_models.{request.param}")

    client = TestClient(mod.app)
    return client


def test_put_all(client: TestClient):
    response = client.put(
        "/items/123",
        json={

    - uses: dorny/paths-filter@v3
      id: filter
      with:
        filters: |
          docs:
            - README.md
            - docs/**
            - docs_src/**
            - requirements-docs.txt
            - pyproject.toml
            - mkdocs.yml
            - mkdocs.env.yml
            - .github/workflows/build-docs.yml
            - .github/workflows/deploy-docs.yml

## Faites appel à `uvicorn`

Dans votre application FastAPI, importez et exécutez directement `uvicorn` :

{* ../../docs_src/debugging/tutorial001.py hl[1,15] *}

### À propos de `__name__ == "__main__"`

Le but principal de `__name__ == "__main__"` est d'avoir du code qui est exécuté lorsque votre fichier est appelé avec :

Você pode conectar o depurador no seu editor, por exemplo, com o Visual Studio Code ou PyCharm.

## Chamar `uvicorn` { #call-uvicorn }

Em sua aplicação FastAPI, importe e execute `uvicorn` diretamente:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### Sobre `__name__ == "__main__"` { #about-name-main }

O objetivo principal de `__name__ == "__main__"` é ter algum código que seja executado quando seu arquivo for chamado com:

        pytest.param("tutorial002_an_py39"),
        pytest.param("tutorial002_an_py310", marks=[needs_py310]),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.header_param_models.{request.param}")

    client = TestClient(mod.app)
    client.headers.clear()
    return client


def test_header_param_model(client: TestClient):
    response = client.get(