code: def test_show_top_feature_label_correlation_without_display():
      # Arrange
      df, expected = util_generate_dataframe_and_expected()
      check = FeatureLabelCorrelation(
          n_samples=None, n_show_top=3, random_state=42
      )
  
      # Act
      result = check.run(
          dataset=Dataset(df, label="label"), with_display=False
      )
  
      # Assert
      assert_that(result.value, has_length(5))
      assert_that(result.value, has_entries(expected))
      assert_that(result.display, has_length(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 6 for calling a global function with example usage: test_show_top_feature_label_correlation_without_display() without return types