code: def assert_is_valid_plot_return_object(objs) -> None:
      import matplotlib.pyplot as plt
  
      if isinstance(objs, (Series, np.ndarray)):
          for el in objs.ravel():
              msg = (
                  "one of 'objs' is not a matplotlib Axes instance, "
                  f"type encountered {repr(type(el).__name__)}"
              )
              assert isinstance(el, (plt.Axes, dict)), msg
      else:
          msg = (
              "objs is neither an ndarray of Artist instances nor a single "
              "ArtistArtist instance, tuple, or dict, 'objs' is a "
              f"{repr(type(objs).__name__)}"
          )
          assert isinstance(objs, (plt.Artist, tuple, dict)), msg
  
imports: from __future__ import annotations
  import operator
  from typing import Literal, cast
  import numpy
  from pandas._libs.missing import is_matching_na
  from pandas._libs.sparse import SparseIndex
  import pandas._libs.testing
  from pandas._libs.tslibs.np_datetime import compare_mismatched_resolutions
  from pandas.core.dtypes.common import is_bool, is_categorical_dtype, is_extension_array_dtype, is_integer_dtype, is_interval_dtype, is_number, is_numeric_dtype, needs_i8_conversion
  from pandas.core.dtypes.dtypes import CategoricalDtype, DatetimeTZDtype, PandasDtype
  from pandas.core.dtypes.missing import array_equivalent
  import pandas
  from pandas import Categorical, DataFrame, DatetimeIndex, Index, IntervalIndex, MultiIndex, PeriodIndex, RangeIndex, Series, TimedeltaIndex
  from pandas.core.algorithms import take_nd
  from pandas.core.arrays import DatetimeArray, ExtensionArray, IntervalArray, PeriodArray, TimedeltaArray
  from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin
  from pandas.core.arrays.string_ import StringDtype
  from pandas.core.indexes.api import safe_sort_index
  from pandas.io.formats.printing import pprint_thing
label_desc: Use image node_id 7 for calling a global function with example usage: assert_is_valid_plot_return_object(objs) without return types