code: def test_reduce_output_no_drift_object_detection(
      coco_visiondata_train,
  ):
      # Arrange
      check = LabelDrift(categorical_drift_method="PSI")
  
      # Act
      result = check.run(coco_visiondata_train, coco_visiondata_train)
  
      # Assert
      assert_that(
          result.reduce_output(),
          has_entries(
              {
                  "Samples Per Class": 0,
                  "Bounding Box Area (in pixels)": 0,
                  "Number of Bounding Boxes Per Image": 0,
              }
          ),
      )
  
file_path: deepchecks/tests/vision/checks/train_test_validation/label_drift_test.py
imports: from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_entries, has_length, raises
  from deepchecks.core.errors import NotEnoughSamplesError
  from deepchecks.vision.checks import LabelDrift
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 4 for calling a global function with example usage: test_reduce_output_no_drift_object_detection(coco_visiondata_train) without return types