code: def test_single_column_dataset_single_value():
      # Arrange
      df = pd.DataFrame({"a": ["b", "b"]})
  
      # Act & Assert
      res = helper_test_df_and_result(df, {"a": 1})
      assert_that(res.display, has_length(greater_than(0)))
  
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 3 for calling a global function with example usage: test_single_column_dataset_single_value() without return types