code: def test_drift_max_drift_score_condition_pass_threshold(
      non_drifted_classification_label,
  ):
      # Arrange
      train, test = non_drifted_classification_label
      check = LabelDrift(
          categorical_drift_method="PSI"
      ).add_condition_drift_score_less_than(max_allowed_drift_score=1)
  
      # Act
      result = check.run(train, test)
      condition_result, *_ = check.conditions_decision(result)
  
      # Assert
      assert_that(
          condition_result,
          equal_condition_result(
              is_pass=True,
              details="Label's drift score PSI is 3.37E-3",
              name="Label drift score < 1",
          ),
      )
  
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 12 for calling a global function with example usage: test_drift_max_drift_score_condition_pass_threshold(non_drifted_classification_label) without return types