code: def test_double_column_one_invalid():
      # Arrange
      data = {
          "col1": ["^", "?!", "!!!", "?!", "!!!", "?!"],
          "col2": ["", 6, 66, 666.66, 7, 5],
      }
      dataframe = pd.DataFrame(data=data)
      # Act
      result = SpecialCharacters().run(dataframe)
      # Assert
      assert_that(result.value, equal_to({"col1": 1, "col2": 0}))
      assert_that(
          result.display[1].iloc[0]["Most Common Special-Only Samples"],
          has_items("!!!", "?!"),
      )
  
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, equal_to, has_items, has_length, raises
  from deepchecks.core import ConditionCategory
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.tabular.checks.data_integrity.special_chars import SpecialCharacters
  from deepchecks.tabular.dataset import Dataset
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 5 for calling a global function with example usage: test_double_column_one_invalid() without return types