"input": "foo",
                    "ctx": {"expected": "'alexnet', 'resnet' or 'lenet'"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "ctx": {"enum_values": ["alexnet", "resnet", "lenet"]},
                    "loc": ["path", "model_name"],

@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"]}),
        # TODO: fix this, is it a bug?
        # ("/items", [("x-token", "foo"), ("x-token", "bar")], 200, {"X-Token values": ["foo", "bar"]}),
    ],
)
def test(path, headers, expected_status, expected_response):

            "schemas": {
                "Item": {
                    "title": "Item",
                    "required": IsOneOf(
                        ["name", "description", "price", "tax", "tags"],
                        # TODO: remove when deprecating Pydantic v1
                        ["name", "price"],
                    ),
                    "type": "object",
                    "properties": {

tf_cuda_cc_test(
    name = "c_api_distributed_test",
    size = "small",
    srcs = [
        "c_api_distributed_test.cc",
    ],
    # TODO(b/136478427): Figure out how to correctly shut the server down
    args = ["--heap_check="],
    tags = [
        "no_oss",  # TODO(b/200848572)
        "no_windows",
    ],
    deps = [
        ":c_api",
        ":c_api_experimental",
        ":c_api_internal",

            "schemas": {
                "PlaneItem": {
                    "title": "PlaneItem",
                    "required": IsOneOf(
                        ["description", "type", "size"],
                        # TODO: remove when deprecating Pydantic v1
                        ["description", "size"],
                    ),
                    "type": "object",
                    "properties": {

                    "input": "nonregexquery",
                    "ctx": {"pattern": "^fixedquery$"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "ctx": {"pattern": "^fixedquery$"},
                    "loc": ["query", "q"],

                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "seventy",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "age"],
                    "msg": "value is not a valid integer",

### Corto

Tiene **configuraciones por defecto** razonables para todo, con configuraciones opcionales en todas partes. Todos los parámetros pueden ser ajustados para tus necesidades y las de tu API.

Pero, todo **simplemente funciona** por defecto.

### Validación

* Validación para la mayoría (¿o todos?) los **tipos de datos** de Python incluyendo:

                                    "title": "Q",
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {"title": "Q", "type": "string"}
                            ),
                            "name": "q",
                            "in": "query",

            "schemas": {
                "Item": {
                    "title": "Item",
                    "required": IsOneOf(
                        ["name", "description", "price", "tax"],
                        # TODO: remove when deprecating Pydantic v1
                        ["name", "price"],
                    ),
                    "type": "object",
                    "properties": {