code: def test_binary_string_model_info_object(
      iris_binary_string_split_dataset_and_model,
  ):
      # Arrange
      _, test_ds, clf = iris_binary_string_split_dataset_and_model
      check = CalibrationScore()
      # Act X
      result = check.run(test_ds, clf).value
      # Assert
      assert_that(result, has_length(1))
  
      assert_that(result, has_entries({0: close_to(0.04, 0.001)}))
  
file_path: deepchecks/tests/tabular/checks/model_evaluation/calibration_score_test.py
imports: from hamcrest import assert_that, calling, close_to, greater_than, has_entries, has_length, raises
  from deepchecks.core.errors import DeepchecksNotSupportedError, DeepchecksValueError, ModelValidationError
  from deepchecks.tabular.checks.model_evaluation import CalibrationScore
  from deepchecks.tabular.dataset import Dataset
label_desc: Use image node_id 7 for calling a global function with example usage: test_binary_string_model_info_object(iris_binary_string_split_dataset_and_model) without return types