code: def test_token_classification(small_wikiann_train_test_text_data):
      # Arrange
      train, test = small_wikiann_train_test_text_data
  
      # Act
      check = LabelDrift()
      result = check.run(train, test)
  
      # Assert
      assert_that(result.value["Drift score"], close_to(0.04, 0.01))
  
file_path: deepchecks/tests/nlp/checks/train_test_validation/label_drift_test.py
imports: from hamcrest import assert_that, close_to, has_items
  from deepchecks.nlp.checks import LabelDrift
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 5 for calling a global function with example usage: test_token_classification(small_wikiann_train_test_text_data) without return types