"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",

    if is_sequence_field(field) and isinstance(values, (ImmutableMultiDict, Headers)):
        value = values.getlist(alias)
    else:
        value = values.get(alias, None)
    if (
        value is None
        or (
            isinstance(field.field_info, params.Form)
            and isinstance(value, str)  # For type checks
            and value == ""
        )

        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(

                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.

                When `True`, default values are omitted from the response.

                Read more about it in the

    return ItemOut(name=item.name, value=item.value, dep=dep)


@app.get("/sync/dict-no-response-model")
def sync_dict_no_response_model():
    return {"name": "foo", "value": 123}


@app.get("/sync/dict-with-response-model", response_model=ItemOut)
def sync_dict_with_response_model(
    dep: Annotated[int, Depends(dep_b)],
):
    return {"name": "foo", "value": 123, "dep": dep}

    response = client.post("/tuple-form/", data={"values": ("1", "2")})
    assert response.status_code == 200, response.text
    assert response.json() == [1, 2]


def test_tuple_form_invalid():
    response = client.post("/tuple-form/", data={"values": ("1", "2", "3")})
    assert response.status_code == 422, response.text

    response = client.post("/tuple-form/", data={"values": ("1")})

@pytest.mark.parametrize(
    "path,headers,expected_status,expected_response",
    [
        ("/items", None, 200, {"X-Token values": None}),
        ("/items", {"x-token": "foo"}, 200, {"X-Token values": ["foo"]}),
        (
            "/items",
            [("x-token", "foo"), ("x-token", "bar")],
            200,
            {"X-Token values": ["foo", "bar"]},
        ),
    ],
)

        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(

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():