code: def test_value_counts_with_nan(dropna, index_or_series):
      # GH31944
      klass = index_or_series
      values = [True, pd.NA, np.nan]
      obj = klass(values)
      res = obj.value_counts(dropna=dropna)
      if dropna is True:
          expected = Series(
              [1], index=Index([True], dtype=obj.dtype), name="count"
          )
      else:
          expected = Series(
              [1, 1, 1], index=[True, pd.NA, np.nan], name="count"
          )
      tm.assert_series_equal(res, expected)
  
file_path: pandas/pandas/tests/base/test_value_counts.py
imports: import collections
  from datetime import timedelta
  import numpy
  import pytest
  import pandas
  from pandas import DatetimeIndex, Index, Interval, IntervalIndex, MultiIndex, Series, Timedelta, TimedeltaIndex, array
  import pandas._testing
  from pandas.tests.base.common import allow_na_ops
label_desc: Use image node_id 7 for calling a global function with example usage: test_value_counts_with_nan(dropna, index_or_series) without return types