code: def test_dataset_wrong_input():
      wrong = "wrong_input"
      assert_that(
          calling(FeatureLabelCorrelation().run).with_args(wrong),
          raises(
              DeepchecksValueError,
              "non-empty instance of Dataset or DataFrame was expected, instead got str",
          ),
      )
  
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 7 for calling a global function with example usage: test_dataset_wrong_input() without return types