client.get("/model/modelX")
    assert err.value.errors() == [
        {
            "type": "value_error",
            "loc": ("response", "name"),
            "msg": "Value error, name must end in A",
            "input": "modelX",
            "ctx": {"error": HasRepr("ValueError('name must end in A')")},
        }
    ]


def test_openapi_schema(client: TestClient):

    assert response.status_code == 422, response.text
    assert response.json() == snapshot(
        {
            "detail": [
                {
                    "type": "value_error",
                    "loc": ["query", "id"],
                    "msg": 'Value error, Invalid ID format, it must start with "isbn-" or "imdb-"',
                    "input": "wtf-yes",
                    "ctx": {"error": {}},

    try:
        yield "s"
    except CustomError as err:
        raise HTTPException(status_code=418, detail="Session error") from err


def broken_dep() -> Any:
    yield "s"
    raise ValueError("Broken after yield")


app = FastAPI()


@app.get("/catching")
def catching(d: Annotated[str, Depends(catching_dep)]) -> Any:
    raise CustomError("Simulated error during streaming")

    assert response.status_code == 500
    assert response.text == "Internal Server Error"


def test_broken_session_stream_raise():
    # Can raise ValueError on Pydantic v2 and ExceptionGroup on Pydantic v1
    with pytest.raises((ValueError, Exception)):
        client.get("/broken-session-stream")


def test_broken_session_stream_no_raise():
    """

    schema = Schema(type=type_value)
    assert schema.type == type_value


def test_invalid_type_value() -> None:
    """Test that Schema raises ValueError for invalid type values."""
    with pytest.raises(ValueError, match="2 validation errors for Schema"):

        self.open = True

    def __iter__(self) -> Generator[str, None, None]:
        for item in self.data:
            if self.open:
                yield item
            else:
                raise ValueError("Session closed")


@contextmanager
def acquire_session() -> Generator[Session, None, None]:
    session = Session()
    try:
        yield session
    finally:
        session.open = False

import pytest
from fastapi import FastAPI, UploadFile
from fastapi.datastructures import Default
from fastapi.testclient import TestClient


def test_upload_file_invalid_pydantic_v2():
    with pytest.raises(ValueError):
        UploadFile._validate("not a Starlette UploadFile", {})


def test_default_placeholder_equals():
    placeholder_1 = Default("a")
    placeholder_2 = Default("a")
    assert placeholder_1 == placeholder_2

    assert jsonable_encoder(item, exclude={}) == {"name": "foo", "count": 100}


def test_encode_unsupported():
    unserializable = Unserializable()
    with pytest.raises(ValueError):
        jsonable_encoder(unserializable)


def test_encode_custom_json_encoders_model_pydanticv2():
    from pydantic import field_serializer

    class ModelWithCustomEncoder(BaseModel):

        return await super().close()

    @classmethod
    def _validate(cls, __input_value: Any, _: Any) -> "UploadFile":
        if not isinstance(__input_value, StarletteUploadFile):
            raise ValueError(f"Expected UploadFile, received: {type(__input_value)}")
        return cast(UploadFile, __input_value)

    @classmethod
    def __get_pydantic_json_schema__(

                raise self.make_not_authenticated_error()
            else:
                return None
        try:
            data = b64decode(param).decode("ascii")
        except (ValueError, UnicodeDecodeError, binascii.Error) as e:
            raise self.make_not_authenticated_error() from e
        username, separator, password = data.partition(":")
        if not separator: