code: def test_drift_max_drift_score_condition_fail_cremer_v(
      mnist_drifted_datasets,
  ):
      # Arrange
      check = LabelDrift(
          categorical_drift_method="cramers_v"
      ).add_condition_drift_score_less_than(
          max_allowed_categorical_score=0.1
      )
      mod_train_ds, mod_test_ds = mnist_drifted_datasets
  
      # Act
      result = check.run(mod_train_ds, mod_test_ds)
  
      condition_result, *_ = result.conditions_results
  
      # Assert
      assert_that(
          condition_result,
          equal_condition_result(
              is_pass=False,
              name="categorical drift score < 0.1 and numerical drift score < 0.15",
              details="Failed for 1 out of 1 label properties.\n"
              "Found 1 categorical label properties with Cramer's V above threshold: {'Samples Per "
              "Class': '0.25'}",
          ),
      )
  
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 11 for calling a global function with example usage: test_drift_max_drift_score_condition_fail_cremer_v(mnist_drifted_datasets) without return types