if sys.version_info < (3, 10):
    WithArgsTypes: tuple[Any, ...] = (typing._GenericAlias, types.GenericAlias)  # type: ignore[attr-defined]
else:
    WithArgsTypes: tuple[Any, ...] = (
        typing._GenericAlias,  # type: ignore[attr-defined]
        types.GenericAlias,
        types.UnionType,
    )  # pyright: ignore[reportAttributeAccessIssue]

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

    Undefined,
)

_Unset: Any = Undefined


class ParamTypes(Enum):
    query = "query"
    header = "header"
    path = "path"
    cookie = "cookie"


class Param(FieldInfo):  # type: ignore[misc]
    in_: ParamTypes

    def __init__(
        self,
        default: Any = Undefined,
        *,
        default_factory: Union[Callable[[], Any], None] = _Unset,
        annotation: Optional[Any] = None,

            # end up building the type adapter from a model field annotation so we
            # need to ignore the warning:
            if shared.PYDANTIC_VERSION_MINOR_TUPLE >= (2, 12):
                from pydantic.warnings import UnsupportedFieldAttributeWarning

                warnings.simplefilter(
                    "ignore", category=UnsupportedFieldAttributeWarning
                )

    model_config = {"use_enum_values": True}


class ModelWithAlias(BaseModel):
    foo: str = Field(alias="Foo")


class ModelWithDefault(BaseModel):
    foo: str = ...  # type: ignore
    bar: str = "bar"
    bla: str = "bla"


def test_encode_dict():
    pet = {"name": "Firulais", "owner": {"name": "Foo"}}
    assert jsonable_encoder(pet) == {"name": "Firulais", "owner": {"name": "Foo"}}

from pydantic import BaseModel


class MyUuid:
    def __init__(self, uuid_string: str):
        self.uuid = uuid_string

    def __str__(self):
        return self.uuid

    @property  # type: ignore
    def __class__(self):
        return uuid.UUID

    @property
    def __dict__(self):
        """Spoof a missing __dict__ by raising TypeError, this is how
        asyncpg.pgroto.pgproto.UUID behaves"""

if sys.version_info >= (3, 14):
    skip_module_if_py_gte_314()

from fastapi import FastAPI
from fastapi.exceptions import PydanticV1NotSupportedError

with warnings.catch_warnings():
    warnings.simplefilter("ignore", UserWarning)
    from pydantic.v1 import BaseModel


def test_raises_pydantic_v1_model_in_endpoint_param() -> None:
    class ParamModelV1(BaseModel):
        name: str

    app = FastAPI()

    "B",  # flake8-bugbear
    "C4",  # flake8-comprehensions
    "UP",  # pyupgrade
]
ignore = [
    "E501",  # line too long, handled by black
    "B008",  # do not perform function calls in argument defaults
    "C901",  # too complex
    "W191",  # indentation contains tabs
]

[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401"]
"docs_src/dependencies/tutorial007_py39.py" = ["F821"]

            from multipart import __version__  # type: ignore[no-redef,import-untyped]

            assert __version__
            try:
                # parse_options_header is only available in the right multipart
                from multipart.multipart import (  # type: ignore[import-untyped]
                    parse_options_header,
                )

from inline_snapshot import snapshot
from pydantic import BaseModel, condecimal

app = FastAPI()


class Item(BaseModel):
    name: str
    age: condecimal(gt=Decimal(0.0))  # type: ignore


@app.post("/items/")
def save_item_no_body(item: list[Item]):
    return {"item": item}


client = TestClient(app)


def test_put_correct_body():

from typing_extensions import deprecated as typing_deprecated

try:
    import email_validator

    assert email_validator  # make autoflake ignore the unused import
    from pydantic import EmailStr
except ImportError:  # pragma: no cover

    class EmailStr(str):  # type: ignore
        @classmethod
        def __get_validators__(cls) -> Iterable[Callable[..., Any]]:
            yield cls.validate

        @classmethod