code: def test_no_drift_classification(mnist_visiondata_train):
      # Arrange
      check = LabelDrift(categorical_drift_method="PSI")
  
      # Act
      result = check.run(mnist_visiondata_train, mnist_visiondata_train)
  
      # Assert
      assert_that(
          result.value,
          has_entries(
              {
                  "Samples Per Class": has_entries(
                      {"Drift score": 0, "Method": equal_to("PSI")}
                  )
              }
          ),
      )
  
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 1 for calling a global function with example usage: test_no_drift_classification(mnist_visiondata_train) without return types