code: def test_rangeindex_fallback_coercion_bug():
      # GH 12893
      df1 = pd.DataFrame(np.arange(100).reshape((10, 10)))
      df2 = pd.DataFrame(np.arange(100).reshape((10, 10)))
      df = pd.concat(
          {
              "df1": df1.stack(future_stack=True),
              "df2": df2.stack(future_stack=True),
          },
          axis=1,
      )
      df.index.names = ["fizz", "buzz"]
  
      expected = pd.DataFrame(
          {"df2": np.arange(100), "df1": np.arange(100)},
          index=MultiIndex.from_product(
              [range(10), range(10)], names=["fizz", "buzz"]
          ),
      )
      tm.assert_frame_equal(df, expected, check_like=True)
  
      result = df.index.get_level_values("fizz")
      expected = Index(
          np.arange(10, dtype=np.int64), name="fizz"
      ).repeat(10)
      tm.assert_index_equal(result, expected)
  
      result = df.index.get_level_values("buzz")
      expected = Index(
          np.tile(np.arange(10, dtype=np.int64), 10), name="buzz"
      )
      tm.assert_index_equal(result, expected)
  
imports: import re
  import numpy
  import pytest
  from pandas._libs import index
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
  import pandas
  from pandas import Index, IntervalIndex, MultiIndex, RangeIndex
  import pandas._testing
label_desc: Use image node_id 15 for calling a global function with example usage: test_rangeindex_fallback_coercion_bug() without return types