code: def multitype_sort(arr: AnyArrayLike) -> list[Any]:
      """
      Sort elements of multiple types
  
      x is assumed to contain elements of different types, such that
      plain sort would raise a `TypeError`.
  
      Parameters
      ----------
      a : array_like
          Array of items to be sorted
  
      Returns
      -------
      out : list
          Items sorted within their type groups.
      """
      types = defaultdict(list)
  
      for x in arr:
          if isinstance(x, (int, float, complex)):
              types["number"].append(x)
          else:
              types[type(x)].append(x)
  
      for t, values in types.items():
          types[t] = sorted(values)
  
      return list(
          itertools.chain.from_iterable(types[t] for t in types)
      )
  
imports: from __future__ import annotations
  import inspect
  import itertools
  import warnings
  from collections import defaultdict
  from collections.abc import Iterable, Sequence
  from contextlib import suppress
  from typing import TYPE_CHECKING, cast, overload
  from warnings import warn
  import numpy
  import pandas
  from pandas.core.groupby import DataFrameGroupBy
  from ..exceptions import PlotnineError, PlotnineWarning
  from ..mapping import aes
label_desc: Use image node_id 5 for calling a global function with example usage: multitype_sort(arr) and returns: list