code: def test_drift_classification_label(drifted_classification_label):
      # Arrange
      train, test = drifted_classification_label
      check = LabelDrift(categorical_drift_method="PSI")
  
      # Act
      result = check.run(train, test)
  
      # Assert
      assert_that(
          result.value,
          has_entries(
              {
                  "Drift score": close_to(0.24, 0.01),
                  "Method": equal_to("PSI"),
              }
          ),
      )
      assert_that(result.display, has_length(greater_than(0)))
  
file_path: deepchecks/tests/tabular/checks/train_test_validation/label_drift_test.py
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_entries, has_length, raises
  from deepchecks.core.condition import ConditionCategory
  from deepchecks.core.errors import NotEnoughSamplesError
  from deepchecks.tabular import Dataset
  from deepchecks.tabular.checks import LabelDrift
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 3 for calling a global function with example usage: test_drift_classification_label(drifted_classification_label) without return types