code: def test_append_overlapping_interval_levels():
      # GH 54934
      ivl1 = pd.IntervalIndex.from_breaks([0.0, 1.0, 2.0])
      ivl2 = pd.IntervalIndex.from_breaks([0.5, 1.5, 2.5])
      mi1 = MultiIndex.from_product([ivl1, ivl1])
      mi2 = MultiIndex.from_product([ivl2, ivl2])
      result = mi1.append(mi2)
      expected = MultiIndex.from_tuples(
          [
              (pd.Interval(0.0, 1.0), pd.Interval(0.0, 1.0)),
              (pd.Interval(0.0, 1.0), pd.Interval(1.0, 2.0)),
              (pd.Interval(1.0, 2.0), pd.Interval(0.0, 1.0)),
              (pd.Interval(1.0, 2.0), pd.Interval(1.0, 2.0)),
              (pd.Interval(0.5, 1.5), pd.Interval(0.5, 1.5)),
              (pd.Interval(0.5, 1.5), pd.Interval(1.5, 2.5)),
              (pd.Interval(1.5, 2.5), pd.Interval(0.5, 1.5)),
              (pd.Interval(1.5, 2.5), pd.Interval(1.5, 2.5)),
          ]
      )
      tm.assert_index_equal(result, expected)
  
file_path: pandas/pandas/tests/indexes/multi/test_reshape.py
imports: from datetime import datetime
  import numpy
  import pytest
  import pytz
  import pandas
  from pandas import Index, MultiIndex
  import pandas._testing
label_desc: Use image node_id 7 for calling a global function with example usage: test_append_overlapping_interval_levels() without return types