code: def test_trainval_assert_feature_label_correlation():
      (
          df,
          df2,
          expected,
      ) = util_generate_second_similar_dataframe_and_expected()
      result = FeatureLabelCorrelationChange(
          n_samples=None, random_state=42
      ).run(
          train_dataset=Dataset(df, label="label"),
          test_dataset=Dataset(df2, label="label"),
      )
  
      assert_that(
          result.value["train-test difference"], has_entries(expected)
      )
      assert_that(result.display, has_length(greater_than(0)))
  
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.errors import DatasetValidationError, DeepchecksNotSupportedError, DeepchecksValueError
  from deepchecks.tabular.checks.data_integrity import FeatureLabelCorrelation
  from deepchecks.tabular.checks.train_test_validation import FeatureLabelCorrelationChange
  from deepchecks.tabular.dataset import Dataset
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 9 for calling a global function with example usage: test_trainval_assert_feature_label_correlation() without return types