code: def test_value_counts(self, all_data, dropna):
      all_data = all_data[:10]
      if dropna:
          other = np.array(all_data[~all_data.isna()])
      else:
          other = all_data
  
      vcs = pd.Series(all_data).value_counts(dropna=dropna)
      vcs_ex = pd.Series(other).value_counts(dropna=dropna)
  
      with decimal.localcontext() as ctx:
          # avoid raising when comparing Decimal("NAN") < Decimal(2)
          ctx.traps[decimal.InvalidOperation] = False
  
          result = vcs.sort_index()
          expected = vcs_ex.sort_index()
  
      tm.assert_series_equal(result, expected)
  
imports: from __future__ import annotations
  import decimal
  import operator
  import numpy
  import pytest
  import pandas
  import pandas._testing
  from pandas.tests.extension import base
  from pandas.tests.extension.decimal.array import DecimalArray, DecimalDtype, make_data, to_decimal
label_desc: Use image node_id 18 for calling the TestDecimalArray obj's underlying member method code with example usage: obj.test_value_counts(all_data, dropna) without return types