code: def test_wrong_ignore_columns_single_value():
      # Arrange
      df = pd.DataFrame(
          {"a": ["b", "b", "b"], "bbb": ["a", "a", "a"], "f": [1, 2, 3]}
      )
  
      # Act
      cls = IsSingleValue(ignore_columns=["bbb", "d"])
      assert_that(
          calling(cls.run).with_args(df),
          raises(
              DeepchecksValueError,
              "Given columns do not exist in dataset: d",
          ),
      )
  
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 10 for calling a global function with example usage: test_wrong_ignore_columns_single_value() without return types