code: def test_classification_not_normalize(mnist_visiondata_train):
      # Arrange
      check = ConfusionMatrixReport(normalized=False)
      # Act
      result = check.run(mnist_visiondata_train)
      # Assert
      assert_that(result.value.shape, equal_to((10, 10)))
  
file_path: deepchecks/tests/vision/checks/model_evaluation/confusion_matrix_test.py
imports: from hamcrest import assert_that, equal_to, greater_than, has_length
  from hamcrest import less_than_or_equal_to
  from deepchecks.vision.checks import ConfusionMatrixReport
label_desc: Use image node_id 3 for calling a global function with example usage: test_classification_not_normalize(mnist_visiondata_train) without return types