code: def test_image_property_drift_condition(
      coco_visiondata_train, coco_visiondata_test
  ):
      result = (
          ImagePropertyDrift(numerical_drift_method="EMD")
          .add_condition_drift_score_less_than()
          .run(coco_visiondata_train, coco_visiondata_test)
      )
  
      assert_that(result, is_correct_image_property_drift_result())
  
      condition_result, *_ = result.conditions_results
  
      assert_that(
          condition_result,
          equal_condition_result(
              is_pass=True,
              details='Passed for 7 properties out of 7 properties.\nFound property "Brightness" has the highest numerical '
              "drift score: 0.07",
              name="drift score < 0.2 for image properties drift",
          ),
      )
  
file_path: deepchecks/tests/vision/checks/train_test_validation/image_property_drift_test.py
imports: import numpy
  from hamcrest import all_of, assert_that, calling, close_to, equal_to, greater_than, has_entries, has_key, has_length, has_properties, instance_of, raises
  from deepchecks.core import CheckResult
  from deepchecks.core.errors import NotEnoughSamplesError
  from deepchecks.vision.checks import ImagePropertyDrift
  from deepchecks.vision.utils.image_properties import default_image_properties
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 6 for calling a global function with example usage: test_image_property_drift_condition(coco_visiondata_train, coco_visiondata_test) without return types