code: def _check_value_counts_with_repeats(self, orig):
      # create repeated values, 'n'th element is repeated by n+1 times
      idx = type(orig)(
          np.repeat(orig._values, range(1, len(orig) + 1)),
          dtype=orig.dtype,
      )
  
      exp_idx = orig[::-1]
      if not isinstance(exp_idx, PeriodIndex):
          exp_idx = exp_idx._with_freq(None)
      expected = Series(
          range(10, 0, -1), index=exp_idx, dtype="int64", name="count"
      )
  
      for obj in [idx, Series(idx)]:
          tm.assert_series_equal(obj.value_counts(), expected)
  
      tm.assert_index_equal(idx.unique(), orig)
  
file_path: pandas/pandas/tests/indexes/datetimelike_/test_value_counts.py
imports: import numpy
  from pandas import DatetimeIndex, NaT, PeriodIndex, Series, TimedeltaIndex, date_range, period_range, timedelta_range
  import pandas._testing
label_desc: Use image node_id 4 for calling the TestValueCounts obj's underlying member method code with example usage: obj._check_value_counts_with_repeats(orig) without return types