"tags": {"key1": "value1", "key2": "value2"},
    }


def test_validator_is_cloned(client: TestClient):
    with pytest.raises(ResponseValidationError) as err:
        client.get("/model/modelX")
    assert err.value.errors() == [
        {
            "type": "value_error",
            "loc": ("response", "name"),
            "msg": "Value error, name must end in A",
            "input": "modelX",

            "Example One": {
                "summary": "Example One Summary",
                "description": "Example One Description",
                "value": {"data": "Data in Body examples, example1"},
            },
            "Example Two": {
                "value": {"data": "Data in Body examples, example2"},
            },
        },
    ),
):
    return item


@app.get("/path_examples/{item_id}")

        return {
            "value": req.value or None,
            "embedded_value": req.embedded_model.value or None,
        }

    client = TestClient(app)

    response = client.post("/", json={})
    assert response.status_code == 200, response.text
    assert response.json() == {
        "value": None,
        "embedded_value": None,
    }

    response2 = client.post(

    It's used internally to recognize when a default value has been overwritten, even
    if the overridden default value was truthy.
    """

    def __init__(self, value: Any):
        self.value = value

    def __bool__(self) -> bool:
        return bool(self.value)

    def __eq__(self, o: object) -> bool:
        return isinstance(o, DefaultPlaceholder) and o.value == self.value


DefaultType = TypeVar("DefaultType")

def test_decimal_encoder_float():
    data = {"value": Decimal(1.23)}
    assert jsonable_encoder(data) == {"value": 1.23}


def test_decimal_encoder_int():
    data = {"value": Decimal(2)}
    assert jsonable_encoder(data) == {"value": 2}


def test_decimal_encoder_nan():
    data = {"value": Decimal("NaN")}
    assert isnan(jsonable_encoder(data)["value"])


def test_decimal_encoder_infinity():

        Doc(
            """
            Default value if the parameter field is not set.
            """
        ),
    ] = Undefined,
    *,
    default_factory: Annotated[
        Union[Callable[[], Any], None],
        Doc(
            """
            A callable to generate the default value.

            This doesn't affect `Path` parameters as the value is always required.

            continue
        if isinstance(value, dict):
            new_schema[key] = _replace_refs(
                schema=value,
                old_name_to_new_name_map=old_name_to_new_name_map,
            )
        elif isinstance(value, list):
            new_value = []
            for item in value:
                if isinstance(item, dict):
                    new_item = _replace_refs(

            "schemas": {
                "Item": {
                    "title": "Item",
                    "required": ["id", "value"],
                    "type": "object",
                    "properties": {
                        "id": {"title": "Id", "type": "string"},
                        "value": {"title": "Value", "type": "string"},
                    },
                },
                "ValidationError": {

    response = client.post("/items/?q=first", json={"value": "first", "price": 100})
    assert response.status_code == 200, response.text
    assert response.json() == {"item": {"value": "first", "price": 100}}

    response = client.post("/items/?q=other", json={"value": "other", "price": 100.5})
    assert response.status_code == 200, response.text
    assert response.json() == {"item": {"value": "other", "price": 100.5}}

        if exclude is not None:
            allowed_keys -= set(exclude)
        for key, value in obj.items():
            if (
                (
                    not sqlalchemy_safe
                    or (not isinstance(key, str))
                    or (not key.startswith("_sa"))
                )
                and (value is not None or not exclude_none)
                and key in allowed_keys
            ):