code: def test_dataset_no_label():
      df, _ = util_generate_dataframe_and_expected()
      df = Dataset(df)
      assert_that(
          calling(
              FeatureLabelCorrelation(
                  n_samples=None, random_state=42
              ).run
          ).with_args(dataset=df),
          raises(
              DeepchecksNotSupportedError,
              "Dataset does not contain a label column",
          ),
      )
  
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 8 for calling a global function with example usage: test_dataset_no_label() without return types