exclude_none=exclude_none,
        )

    def __hash__(self) -> int:
        # Each ModelField is unique for our purposes, to allow making a dict from
        # ModelField to its JSON Schema.
        return id(self)


def _has_computed_fields(field: ModelField) -> bool:
    computed_fields = field._type_adapter.core_schema.get("schema", {}).get(
        "computed_fields", []
    )

def get_fields_from_routes(
    routes: Sequence[BaseRoute],
) -> list[ModelField]:
    body_fields_from_routes: list[ModelField] = []
    responses_from_routes: list[ModelField] = []
    request_fields_from_routes: list[ModelField] = []
    callback_flat_models: list[ModelField] = []
    for route in routes:
        if not isinstance(route, routing.APIRoute):
            continue

)
from .shared import lenient_issubclass as lenient_issubclass
from .shared import sequence_types as sequence_types
from .shared import value_is_sequence as value_is_sequence
from .v2 import ModelField as ModelField
from .v2 import PydanticSchemaGenerationError as PydanticSchemaGenerationError
from .v2 import RequiredParam as RequiredParam
from .v2 import Undefined as Undefined
from .v2 import Url as Url

from pydantic.fields import FieldInfo


def test_model_field_default_required():
    from fastapi._compat import v2

    # For coverage
    field_info = FieldInfo(annotation=str)
    field = v2.ModelField(name="foo", field_info=field_info)
    assert field.default is Undefined


def test_complex():
    app = FastAPI()

    @app.post("/")
    def foo(foo: str | list[int]):
        return foo

    return func


@dataclass
class Dependant:
    path_params: list[ModelField] = field(default_factory=list)
    query_params: list[ModelField] = field(default_factory=list)
    header_params: list[ModelField] = field(default_factory=list)
    cookie_params: list[ModelField] = field(default_factory=list)
    body_params: list[ModelField] = field(default_factory=list)
    dependencies: list["Dependant"] = field(default_factory=list)

        flat_dependant.dependencies.extend(flat_sub.dependencies)

    return flat_dependant


def _get_flat_fields_from_params(fields: list[ModelField]) -> list[ModelField]:
    if not fields:
        return fields
    first_field = fields[0]
    if len(fields) == 1 and lenient_issubclass(
        first_field.field_info.annotation, BaseModel
    ):

) -> ModelField:
    if annotation_is_pydantic_v1(type_):
        raise PydanticV1NotSupportedError(
            "pydantic.v1 models are no longer supported by FastAPI."
            f" Please update the response model {type_!r}."
        )
    field_info = field_info or FieldInfo(annotation=type_, default=default, alias=alias)
    try:
        return v2.ModelField(mode=mode, name=name, field_info=field_info)

    return response_args


def get_request_handler(
    dependant: Dependant,
    body_field: ModelField | None = None,
    status_code: int | None = None,
    response_class: type[Response] | DefaultPlaceholder = Default(JSONResponse),
    response_field: ModelField | None = None,
    response_model_include: IncEx | None = None,
    response_model_exclude: IncEx | None = None,