code: def test_model_info_object(iris_labeled_dataset, iris_adaboost):
      # Arrange
      check = ConfusionMatrixReport()
      # Act X
      result = check.run(iris_labeled_dataset, iris_adaboost)
      res_val = result.value.to_numpy()
      # Assert
      for i in range(len(res_val)):
          for j in range(len(res_val[i])):
              assert isinstance(res_val[i][j], np.int64)
      assert_that(result.display, has_length(greater_than(0)))
  
file_path: deepchecks/tests/tabular/checks/model_evaluation/confusion_matrix_report_test.py
imports: import numpy
  from hamcrest import assert_that, calling, equal_to, greater_than, has_length, raises
  from deepchecks.core.condition import ConditionCategory
  from deepchecks.core.errors import DeepchecksNotSupportedError, DeepchecksValueError, ModelValidationError
  from deepchecks.tabular.checks.model_evaluation import ConfusionMatrixReport
  from deepchecks.utils.strings import format_number, format_percent
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 4 for calling a global function with example usage: test_model_info_object(iris_labeled_dataset, iris_adaboost) without return types