code: def test_no_drift_regression_label_ks(diabetes, diabetes_model):
      # Arrange
      train, test = diabetes
      check = PredictionDrift(numerical_drift_method="KS")
  
      # Act
      result = check.run(train, test, diabetes_model)
  
      # Assert
      assert_that(
          result.value,
          has_entries(
              {
                  "Drift score": close_to(0.11, 0.01),
                  "Method": equal_to("Kolmogorov-Smirnov"),
              }
          ),
      )
  
imports: import pandas
  from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_entries, has_length, raises
  from deepchecks.core.errors import DeepchecksValueError, NotEnoughSamplesError
  from deepchecks.tabular import Dataset
  from deepchecks.tabular.checks import PredictionDrift
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 3 for calling a global function with example usage: test_no_drift_regression_label_ks(diabetes, diabetes_model) without return types