code: def test_integer_columns_with_nulls():
      # Arrange
      data = {
          "col1": [1, 1, 1, 1, None, 1, 1, 1, 1, 1, 1, 1, 1, 1000],
          "col2": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1000],
      }
      dataset = Dataset(pd.DataFrame(data=data), cat_features=[])
      # Act
      result = OutlierSampleDetection(
          nearest_neighbors_percent=0.3
      ).run(dataset)
      # Assert
      assert_that(result.value, has_item(greater_than(0.44)))
  
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, greater_than, has_item, has_items, has_length, raises
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.tabular.checks import OutlierSampleDetection
  from deepchecks.tabular.dataset import Dataset
  from deepchecks.tabular.datasets.regression import avocado
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 7 for calling a global function with example usage: test_integer_columns_with_nulls() without return types