"""
            ),
        ] = "",
        client_id: Annotated[
            Union[str, None],
            Form(),
            Doc(
                """
                If there's a `client_id`, it can be sent as part of the form fields.
                But the OAuth2 specification recommends sending the `client_id` and
                `client_secret` (if any) using HTTP Basic auth.
                """

) -> Dict[str, Any]:
    headers = {"Authorization": f"token {settings.input_token.get_secret_value()}"}
    # category_id is only used by one query, but GraphQL allows unused variables, so
    # keep it here for simplicity
    variables = {"after": after, "category_id": category_id}
    response = httpx.post(
        github_graphql_url,
        headers=headers,
        timeout=settings.httpx_timeout,

    elif field_info is None and depends is None:
        default_value = value if value is not inspect.Signature.empty else Required
        if is_path_param:
            # We might check here that `default_value is Required`, but the fact is that the same
            # parameter might sometimes be a path parameter and sometimes not. See
            # `tests/test_infer_param_optionality.py` for an example.

        }
    }
)


class User(BaseModel):
    username: str


# Here we use string annotations to test them
def get_current_user(oauth_header: "str" = Security(reusable_oauth2)):
    user = User(username=oauth_header)
    return user


@app.post("/login")
# Here we use string annotations to test them
def login(form_data: "OAuth2PasswordRequestFormStrict" = Depends()):

# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """
    Encodes a Decimal as int of there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where a integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.
    Our Id type is a prime example of this.

        or hasattr(origin, "__pydantic_core_schema__")
        or hasattr(origin, "__get_pydantic_core_schema__")
    )


def field_annotation_is_scalar(annotation: Any) -> bool:
    # handle Ellipsis here to make tuple[int, ...] work nicely
    return annotation is Ellipsis or not field_annotation_is_complex(annotation)


def field_annotation_is_scalar_sequence(annotation: Union[Type[Any], None]) -> bool: