It can be a regular `def` function or an `async def` function.
                """
            ),
        ],
        *args: P.args,
        **kwargs: P.kwargs,
    ) -> None:
        """
        Add a function to be called in the background after the response is sent.

        Read more about it in the

    """
    A file uploaded in a request.

    Define it as a *path operation function* (or dependency) parameter.

    If you are using a regular `def` function, you can use the `upload_file.file`
    attribute to access the raw standard Python file (blocking, not async), useful and
    needed for non-async code.

    Read more about it in the

    item_to_check = [it for it in user_data["items"] if it["id"] == item_data["id"]][0]
    assert item_to_check["title"] == item["title"]
    assert item_to_check["description"] == item["description"]
    response = client.get("/users/1")
    assert response.status_code == 200, response.text
    user_data = response.json()
    item_to_check = [it for it in user_data["items"] if it["id"] == item_data["id"]][0]

    dependentSchemas: Optional[Dict[str, "SchemaOrBool"]] = None
    prefixItems: Optional[List["SchemaOrBool"]] = None
    # TODO: uncomment and remove below when deprecating Pydantic v1
    # It generales a list of schemas for tuples, before prefixItems was available
    # items: Optional["SchemaOrBool"] = None
    items: Optional[Union["SchemaOrBool", List["SchemaOrBool"]]] = None

      break
    elif not os.path.exists(python_bin_path):
      print('Invalid python path: {} cannot be found.'.format(python_bin_path))
    else:
      print('{} is not executable.  Is it the python binary?'.format(
          python_bin_path))
    environ_cp['PYTHON_BIN_PATH'] = ''

  # Convert python path to Windows style before checking lib and version
  if is_windows() or is_cygwin():

from pydantic.version import VERSION as P_VERSION
from starlette.datastructures import UploadFile
from typing_extensions import Annotated, Literal, get_args, get_origin

# Reassign variable to make it reexported for mypy
PYDANTIC_VERSION = P_VERSION
PYDANTIC_V2 = PYDANTIC_VERSION.startswith("2.")


sequence_annotation_to_type = {
    Sequence: list,
    List: list,
    list: list,
    Tuple: tuple,