code: def test_condition_fail():
      # Arrange
      df = pd.DataFrame(
          {"a": ["b", "b", "b"], "bbb": ["a", "a", "a"], "f": [1, 2, 3]}
      )
      check = IsSingleValue().add_condition_not_single_value()
  
      # Act
      result = check.conditions_decision(check.run(df))
  
      # Assert
      assert_that(
          result,
          has_items(
              equal_condition_result(
                  is_pass=False,
                  details="Found 2 out of 3 columns with a single value: ['a', 'bbb']",
                  name="Does not contain only a single value",
              )
          ),
      )
  
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, equal_to, greater_than, has_items, has_length, raises
  from deepchecks.core.errors import DatasetValidationError, DeepchecksValueError
  from deepchecks.tabular.checks.data_integrity.is_single_value import IsSingleValue
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 14 for calling a global function with example usage: test_condition_fail() without return types