code: def test_assert_identifier_label_correlation_without_display():
      df, expected = generate_dataframe_and_expected()
      result = IdentifierLabelCorrelation().run(
          dataset=Dataset(
              df,
              label="label",
              datetime_name="x2",
              index_name="x3",
              cat_features=[],
          ),
          with_display=False,
      )
      for key, value in result.value.items():
          assert_that(key, is_in(expected.keys()))
          assert_that(value, close_to(expected[key], 0.1))
      assert_that(result.display, has_length(0))
  
file_path: deepchecks/tests/tabular/checks/integrity/identifier_label_correlation_test.py
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, close_to, greater_than, has_items, has_length, is_in, raises
  from deepchecks.core.errors import DatasetValidationError, DeepchecksNotSupportedError, DeepchecksValueError
  from deepchecks.tabular.checks.data_integrity.identifier_label_correlation import IdentifierLabelCorrelation
  from deepchecks.tabular.dataset import Dataset
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 3 for calling a global function with example usage: test_assert_identifier_label_correlation_without_display() without return types