code: def test_classification_without_display(
      mnist_visiondata_train, mnist_visiondata_test
  ):
      # Arrange
      check = HeatmapComparison()
  
      # Act
      result = check.run(
          mnist_visiondata_train,
          mnist_visiondata_test,
          with_display=False,
      )
  
      # Assert
      brightness_diff = result.value["diff"]
      assert_that(brightness_diff.mean(), close_to(6.834, 0.001))
      assert_that(brightness_diff.max(), close_to(42, 0.001))
      assert_that(result.display, has_length(0))
  
imports: from hamcrest import assert_that, close_to, greater_than, has_length
  from deepchecks.vision.checks import HeatmapComparison
label_desc: Use image node_id 3 for calling a global function with example usage: test_classification_without_display(mnist_visiondata_train, mnist_visiondata_test) without return types