code: def test_assert_feature_label_correlation():
      df, expected = util_generate_dataframe_and_expected()
      result = FeatureLabelCorrelation(
          n_samples=None, random_state=42
      ).run(dataset=Dataset(df, label="label"))
  
      assert_that(result.value, has_entries(expected))
  
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 4 for calling a global function with example usage: test_assert_feature_label_correlation() without return types