code: def test_reindex_level_verify_first_level_repeats(self, idx):
      df = DataFrame(
          {
              "jim": ["mid"] * 5 + ["btm"] * 8 + ["top"] * 7,
              "joe": ["3rd"] * 2
              + ["1st"] * 3
              + ["2nd"] * 3
              + ["1st"] * 2
              + ["3rd"] * 3
              + ["1st"] * 2
              + ["3rd"] * 3
              + ["2nd"] * 2,
              # this needs to be jointly unique with jim and joe or
              # reindexing will fail ~1.5% of the time, this works
              # out to needing unique groups of same size as joe
              "jolie": np.concatenate(
                  [
                      np.random.default_rng(2).choice(
                          1000, x, replace=False
                      )
                      for x in [2, 3, 3, 2, 3, 2, 3, 2]
                  ]
              ),
              "joline": np.random.default_rng(2)
              .standard_normal(20)
              .round(3)
              * 10,
          }
      )
      icol = ["jim", "joe", "jolie"]
  
      def f(val):
          return np.nonzero((df["jim"] == val).to_numpy())[0]
  
      i = np.concatenate(list(map(f, idx)))
      left = df.set_index(icol).reindex(idx, level="jim")
      right = df.iloc[i].set_index(icol)
      tm.assert_frame_equal(left, right)
  
imports: from datetime import datetime, timedelta
  import inspect
  import numpy
  import pytest
  from pandas._libs.tslibs.timezones import dateutil_gettz
  from pandas.compat import IS64, is_platform_windows
  from pandas.compat.numpy import np_version_gt2
  import pandas
  from pandas import Categorical, CategoricalIndex, DataFrame, Index, MultiIndex, Series, date_range, isna
  import pandas._testing
  from pandas.api.types import CategoricalDtype
label_desc: Use image node_id 14 for calling the TestDataFrameSelectReindex obj's underlying member method code with example usage: obj.test_reindex_level_verify_first_level_repeats(idx) and returns: np