import types
from enum import Enum
from typing import Any, Callable, Dict, Set, Type, TypeVar, Union

from pydantic import BaseModel

DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any])
UnionType = getattr(types, "UnionType", Union)
ModelNameMap = Dict[Union[Type[BaseModel], Type[Enum]], str]

                                    "schema": {
                                        "title": "Response 500 Valid2 Valid2 Get",
                                        "type": "array",
                                        "items": {"type": "integer"},
                                    }
                                }
                            },
                        },
                    },
                }

def test_encode_model_with_pure_path():
    class ModelWithPath(BaseModel):
        path: PurePath

        if PYDANTIC_V2:
            model_config = {"arbitrary_types_allowed": True}
        else:

            class Config:
                arbitrary_types_allowed = True

    test_path = PurePath("/foo", "bar")
    obj = ModelWithPath(path=test_path)
    assert jsonable_encoder(obj) == {"path": str(test_path)}

    ]
    typed_signature = inspect.Signature(typed_params)
    return typed_signature


def get_typed_annotation(annotation: Any, globalns: Dict[str, Any]) -> Any:
    if isinstance(annotation, str):
        annotation = ForwardRef(annotation)
        annotation = evaluate_forwardref(annotation, globalns, globalns)
    return annotation

    "title": "ValidationError",
    "type": "object",
    "properties": {
        "loc": {
            "title": "Location",
            "type": "array",
            "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]},
        },
        "msg": {"title": "Message", "type": "string"},
        "type": {"title": "Error Type", "type": "string"},
    },
    "required": ["loc", "msg", "type"],
}

        original_type = original_type.__pydantic_model__
    use_type = original_type
    if lenient_issubclass(original_type, BaseModel):
        original_type = cast(Type[BaseModel], original_type)
        use_type = cloned_types.get(original_type)
        if use_type is None:
            use_type = create_model(original_type.__name__, __base__=original_type)

)
from pathlib import Path, PurePath
from re import Pattern
from types import GeneratorType
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
from uuid import UUID

from fastapi.types import IncEx
from pydantic import BaseModel
from pydantic.color import Color
from pydantic.networks import AnyUrl, NameEmail
from pydantic.types import SecretBytes, SecretStr
from typing_extensions import Annotated, Doc

        assert isinstance(asyncpg_uuid, uuid.UUID)
        assert type(asyncpg_uuid) != uuid.UUID
        with pytest.raises(TypeError):
            vars(asyncpg_uuid)
        return {"fast_uuid": asyncpg_uuid}

    class SomeCustomClass(BaseModel):
        model_config = {"arbitrary_types_allowed": True}

        a_uuid: MyUuid

        @field_serializer("a_uuid")

    # TODO: in theory this would allow declaring types that could be lists of bytes
    # to be read from files and other types, but I'm not even sure it's a good idea
    # to support it as a first class "feature"
    assert is_bytes_sequence_annotation(Union[List[str], List[bytes]])


def test_is_uploadfile_sequence_annotation():
    # For coverage
    # TODO: in theory this would allow declaring types that could be lists of UploadFile

                    "required": ["loc", "msg", "type"],
                    "type": "object",
                    "properties": {
                        "loc": {
                            "title": "Location",
                            "type": "array",
                            "items": {
                                "anyOf": [{"type": "string"}, {"type": "integer"}]
                            },