code: def _all_indexes_same(indexes):
      """
      Determine if all indexes contain the same elements.
  
      Parameters
      ----------
      indexes : list of Index objects
  
      Returns
      -------
      bool
          True if all indexes contain the same elements, False otherwise.
      """
      first = indexes[0]
      for index in indexes[1:]:
          if not first.equals(index):
              return False
      return True
  
imports: import textwrap
  import warnings
  from pandas._libs import NaT, lib
  import pandas.core.common
  from pandas.core.indexes.base import Index, _new_Index, ensure_index, ensure_index_from_sequences
  from pandas.core.indexes.base import InvalidIndexError
  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.numeric import Float64Index, Int64Index, NumericIndex, UInt64Index
  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: True, False