code: def test_model_info_object(iris_labeled_dataset, iris_adaboost):
      # Arrange
      check = RocReport()
      # Act X
      result = check.run(iris_labeled_dataset, iris_adaboost).value
      # Assert
      assert len(result) == 3  # iris has 3 targets
      for value in result.values():
          assert isinstance(value, np.float64)
  
file_path: deepchecks/tests/tabular/checks/model_evaluation/roc_report_test.py
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, close_to, greater_than, has_entries, has_items, has_length, raises
  from sklearn.linear_model import LogisticRegression
  from sklearn.model_selection import train_test_split
  from deepchecks.core.errors import DeepchecksNotSupportedError, DeepchecksValueError, ModelValidationError
  from deepchecks.tabular.checks.model_evaluation import RocReport
  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_model_info_object(iris_labeled_dataset, iris_adaboost) without return types