code: def all_indexes_same(indexes) -> bool:
      """
      Determine if all indexes contain the same elements.
  
      Parameters
      ----------
      indexes : iterable of Index objects
  
      Returns
      -------
      bool
          True if all indexes contain the same elements, False otherwise.
      """
      itr = iter(indexes)
      first = next(itr)
      return all(first.equals(index) for index in itr)
  
imports: from __future__ import annotations
  import textwrap
  from typing import cast
  import numpy
  from pandas._libs import NaT, lib
  from pandas._typing import Axis
  from pandas.errors import InvalidIndexError
  from pandas.core.dtypes.cast import find_common_type
  from pandas.core.algorithms import safe_sort
  from pandas.core.indexes.base import Index, _new_Index, ensure_index, ensure_index_from_sequences, get_unanimous_names
  from pandas.core.indexes.category import CategoricalIndex
  from pandas.core.indexes.datetimes import DatetimeIndex
  from pandas.core.indexes.interval import IntervalIndex
  from pandas.core.indexes.multi import MultiIndex
  from pandas.core.indexes.period import PeriodIndex
  from pandas.core.indexes.range import RangeIndex
  from pandas.core.indexes.timedeltas import TimedeltaIndex
label_desc: Use image node_id 7 for calling a global function with example usage: all_indexes_same(indexes) and returns: all