code: def test_where_bool_comparison():
      # GH 10336
      df_mask = DataFrame(
          {
              "AAA": [True] * 4,
              "BBB": [False] * 4,
              "CCC": [True, False, True, False],
          }
      )
      result = df_mask.where(df_mask == False)  # noqa: E712
      expected = DataFrame(
          {
              "AAA": np.array([np.nan] * 4, dtype=object),
              "BBB": [False] * 4,
              "CCC": [np.nan, False, np.nan, False],
          }
      )
      tm.assert_frame_equal(result, expected)
  
imports: from datetime import datetime
  from hypothesis import given
  import numpy
  import pytest
  from pandas.core.dtypes.common import is_scalar
  import pandas
  from pandas import DataFrame, DatetimeIndex, Index, Series, StringDtype, Timestamp, date_range, isna
  import pandas._testing
  from pandas._testing._hypothesis import OPTIONAL_ONE_OF_ALL
label_desc: Use image node_id 6 for calling a global function with example usage: test_where_bool_comparison() without return types