params=[
        pytest.param("tutorial002_py310", marks=needs_py310),
        pytest.param("tutorial002_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.background_tasks.{request.param}")

    client = TestClient(mod.app)
    return client


@workdir_lock
def test(client: TestClient):
    log = Path("log.txt")
    if log.is_file():

from inline_snapshot import snapshot


@pytest.fixture(
    name="client",
    params=[
        "tutorial001_an_py310",
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(
        f"docs_src.authentication_error_status_code.{request.param}"
    )

    client = TestClient(mod.app)
    return client


def test_get_me(client: TestClient):

    params=[
        pytest.param("tutorial001_py310", marks=needs_py310),
        pytest.param("tutorial001_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.additional_status_codes.{request.param}")

    client = TestClient(mod.app)
    return client


def test_update(client: TestClient):
    response = client.put("/items/foo", json={"name": "Wrestlers"})

    params=[
        pytest.param("tutorial003_py310", marks=needs_py310),
        pytest.param("tutorial003_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body_multiple_params.{request.param}")

    client = TestClient(mod.app)
    return client


def test_post_body_valid(client: TestClient):
    response = client.put(
        "/items/5",

@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body.{request.param}")

    client = TestClient(mod.app)
    return client


@pytest.mark.parametrize("price", ["50.5", 50.5])
def test_post_with_tax(client: TestClient, price: str | float):

from inline_snapshot import snapshot


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial008_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_post_body(client: TestClient):
    data = [

from inline_snapshot import snapshot


@pytest.fixture(
    name="client",
    params=[
        "tutorial009_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_post_body(client: TestClient):
    data = {"2": 2.2, "3": 3.3}

# happen at load time will trigger, eg registration of optimizers in the
# SavedModel registry.
# See b/196254385 for more details.
try:
  if _tf_uses_legacy_keras:
    importlib.import_module("tf_keras.src.optimizers")
  else:
    importlib.import_module("keras.src.optimizers")
except (ImportError, AttributeError):
  pass

del importlib

# Delete modules that should be hidden from dir().

@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial004_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.additional_responses.{request.param}")

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


def test_path_operation(client: TestClient):

@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.additional_responses.{request.param}")

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


def test_path_operation(client: TestClient):