code: def test_iris_modified(iris):
      # Arrange
      iris_modified = iris.copy()
      iris_modified.loc[len(iris.index)] = [1, 10, 1000, 1000, 1]
      # Act
      result = OutlierSampleDetection(n_to_show=2).run(
          Dataset(iris_modified)
      )
      # Assert
      assert_that(result.value, has_item(greater_than(0.99)))
  
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 12 for calling a global function with example usage: test_iris_modified(iris) without return types