code: def test_anonymous_series_without_display():
      np.random.seed(42)
      df = pd.DataFrame(
          np.random.randint(0, 10, (100, 3))
      ).reset_index()
      res = DataDuplicates(ignore_columns=["index"]).run(
          df, with_display=False
      )
      assert_that(res.value, close_to(0.05, 0.001))
      assert_that(res.display, has_length(0))
  
file_path: deepchecks/tests/tabular/checks/integrity/data_duplicate_test.py
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, close_to, equal_to, has_items, has_length, raises
  from deepchecks.core import ConditionCategory
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.tabular.checks.data_integrity.data_duplicates import DataDuplicates
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 10 for calling a global function with example usage: test_anonymous_series_without_display() without return types