module.say_hi("FastAPI")

    mock_print.assert_called_once_with("Hey FastAPI!")

    with pytest.raises(
        TypeError,
        match=re.escape("say_hi() missing 1 required positional argument: 'name'"),
    ):

    # Trio 24.1.0 raises a warning from attrs
    # Ref: https://github.com/python-trio/trio/pull/3054
    # Remove once there's a new version of Trio
    'ignore:The `hash` argument is deprecated*:DeprecationWarning:trio',
]

[tool.coverage.run]
parallel = true
data_file = "coverage/.coverage"
source = [
    "docs_src",
    "tests",
    "fastapi"
]

        return uuid.UUID

    @property
    def __dict__(self):
        """Spoof a missing __dict__ by raising TypeError, this is how
        asyncpg.pgroto.pgproto.UUID behaves"""
        raise TypeError("vars() argument must have __dict__ attribute")


def test_pydanticv2():
    from pydantic import field_serializer

    app = FastAPI()

    @app.get("/fast_uuid")
    def return_fast_uuid():

# Sets the default Apple platform to macOS.
common:macos --apple_platform_type=macos

# gRPC on MacOS requires this #define
common:macos --copt=-DGRPC_BAZEL_BUILD

# Avoid hitting command line argument limit
common:macos --features=archive_param_file

# TODO: Fix deps to remove this flag, see https://github.com/bazelbuild/bazel/pull/16414
common:macos --linkopt=-Wl,-undefined,dynamic_lookup

with `Annotated` would **not be affected** at all.

If you call those functions in **other places in your code**, the actual **default values** will be kept, your editor will help you notice missing **required arguments**, Python will require you to pass required arguments at **runtime**, you will be able to **use the same functions** for different things and with different libraries (e.g. **Typer** will soon support `Annotated` too, then you could use the same function for an API and a CLI),...