if isinstance(obj, encoder_type):
                    return encoder_instance(obj)
    if include is not None and not isinstance(include, (set, dict)):
        include = set(include)
    if exclude is not None and not isinstance(exclude, (set, dict)):
        exclude = set(exclude)
    if isinstance(obj, BaseModel):
        obj_dict = obj.model_dump(
            mode="json",
            include=include,

    client = TestClient(mod.app)
    return client


def test_cookie_param_model(client: TestClient):
    with client as c:
        c.cookies.set("session_id", "123")
        c.cookies.set("fatebook_tracker", "456")
        c.cookies.set("googall_tracker", "789")
        response = c.get("/items/")
    assert response.status_code == 200
    assert response.json() == {
        "session_id": "123",

            }
        ]
    }


@pytest.mark.parametrize(
    "path",
    ["/required-str", "/model-required-str"],
)
def test_required_str(path: str):
    client = TestClient(app)
    client.cookies.set("p", "hello")
    response = client.get(path)
    assert response.status_code == 200
    assert response.json() == {"p": "hello"}


# =====================================================================================

            allowed by the alias or set of aliases defined.
            """
        ),
    ] = None,
    serialization_alias: Annotated[
        Union[str, None],
        Doc(
            """
            'Blacklist' validation step. The vanilla parameter field will be the
            single one of the alias' or set of aliases' fields and all the other

    assert response.json() == {"p": None}


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)
def test_optional_str(path: str):
    client = TestClient(app)
    client.cookies.set("p", "hello")
    response = client.get(path)
    assert response.status_code == 200
    assert response.json() == {"p": "hello"}


# =====================================================================================

  langs:
    runs-on: ubuntu-latest
    outputs:
      langs: ${{ steps.show-langs.outputs.langs }}
      commands: ${{ steps.show-langs.outputs.commands }}
    steps:
      - uses: actions/checkout@v6
      - name: Set up Python
        uses: actions/setup-python@v6
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v7
        with:
          cache-dependency-glob: |

                Configuration passed to Pydantic to define if the response data
                should have all the fields, including the ones that were not set and
                have their default values. This is different from
                `response_model_exclude_defaults` in that if the fields are set,
                they will be included in the response, even if the value is the same
                as the default.

    }:
        return True
    current_status_code = int(status_code)
    return not (current_status_code < 200 or current_status_code in {204, 205, 304})


def get_path_param_names(path: str) -> set[str]:
    return set(re.findall("{(.*?)}", path))


_invalid_args_message = (
    "Invalid args for response field! Hint: "
    "check that {type_} is a valid Pydantic field type. "

    flat_validation_models = get_flat_models_from_fields(
        validation_fields, known_models=set()
    )
    flat_serialization_models = get_flat_models_from_fields(
        serialization_fields, known_models=set()
    )
    flat_validation_model_fields = [
        ModelField(
            field_info=FieldInfo(annotation=model),
            name=model.__name__,

PYDANTIC_VERSION_MINOR_TUPLE = tuple(int(x) for x in PYDANTIC_VERSION.split(".")[:2])
PYDANTIC_V2 = PYDANTIC_VERSION_MINOR_TUPLE[0] == 2


sequence_annotation_to_type = {
    Sequence: list,
    list: list,
    tuple: tuple,
    set: set,
    frozenset: frozenset,
    deque: deque,
}

sequence_types = tuple(sequence_annotation_to_type.keys())

Url: type[Any]


# Copy of Pydantic v2, compatible with v1
def lenient_issubclass(