code: def fill_missing_names(
      names: Sequence[Hashable | None],
  ) -> list[Hashable]:
      """
      If a name is missing then replace it by level_n, where n is the count
  
      .. versionadded:: 1.4.0
  
      Parameters
      ----------
      names : list-like
          list of column names or None values.
  
      Returns
      -------
      list
          list of column names with the None values replaced.
      """
      return [
          f"level_{i}" if name is None else name
          for i, name in enumerate(names)
      ]
  
imports: from __future__ import annotations
  import builtins
  from collections import abc, defaultdict
  from collections.abc import Collection, Generator, Hashable, Iterable, Sequence
  import contextlib
  from functools import partial
  import inspect
  from typing import TYPE_CHECKING, Any, Callable, TypeVar, cast, overload
  import warnings
  import numpy
  from pandas._libs import lib
  from pandas.compat.numpy import np_version_gte1p24
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
  from pandas.core.dtypes.common import is_bool_dtype, is_integer
  from pandas.core.dtypes.generic import ABCExtensionArray, ABCIndex, ABCMultiIndex, ABCSeries
  from pandas.core.dtypes.inference import iterable_not_string
label_desc: Use image node_id 36 for calling a global function with example usage: fill_missing_names(names) and returns: unknown