code: def test_ignore_columns_multi():
      # Arrange
      data = {
          "col1": ["foo", "bar", "cat"],
          "col2": ["nan", "null", ""],
          "col3": [np.nan, "none", "3"],
      }
      dataframe = pd.DataFrame(data=data)
      # Act
      result = MixedNulls(ignore_columns=["col3", "col2"]).run(
          dataframe
      )
      # Assert
      assert_that(result.value["columns"], equal_to({"col1": {}}))
  
imports: import numpy
  import pandas
  from hamcrest import any_of, assert_that, calling, close_to, equal_to, greater_than, has_entries, has_entry, has_items, has_length, is_, raises
  from deepchecks.core.errors import DatasetValidationError, DeepchecksValueError
  from deepchecks.tabular.checks.data_integrity.mixed_nulls import MixedNulls
  from deepchecks.tabular.dataset import Dataset
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 16 for calling a global function with example usage: test_ignore_columns_multi() without return types