code: def testSlidingWindow_MultipleEntries(self):
      a1 = test_utils.DummyArtifact()
      a2 = test_utils.DummyArtifact()
      a3 = test_utils.DummyArtifact()
      a4 = test_utils.DummyArtifact()
  
      artifacts = [a1, a2, a3, a4]
  
      actual = self._sliding_window(artifacts)
      self.assertEqual(
          actual,
          [
              {"window": [a1]},
              {"window": [a2]},
              {"window": [a3]},
              {"window": [a4]},
          ],
      )
  
      actual = self._sliding_window(artifacts, window_size=1)
      self.assertEqual(
          actual,
          [
              {"window": [a1]},
              {"window": [a2]},
              {"window": [a3]},
              {"window": [a4]},
          ],
      )
  
      actual = self._sliding_window(artifacts, window_size=2)
      self.assertEqual(
          actual,
          [
              {"window": [a1, a2]},
              {"window": [a2, a3]},
              {"window": [a3, a4]},
          ],
      )
  
      actual = self._sliding_window(artifacts, window_size=3)
      self.assertEqual(
          actual,
          [
              {"window": [a1, a2, a3]},
              {"window": [a2, a3, a4]},
          ],
      )
  
      actual = self._sliding_window(artifacts, window_size=4)
      self.assertEqual(actual, [{"window": [a1, a2, a3, a4]}])
  
      # The final window size will be 0, so no artifacts will be returned.
      actual = self._sliding_window(artifacts, window_size=5)
      self.assertEqual(actual, [])
  
file_path: tfx/tfx/dsl/input_resolution/ops/sliding_window_op_test.py
imports: import tensorflow
  from tfx.dsl.input_resolution.ops import ops
  from tfx.dsl.input_resolution.ops import test_utils
label_desc: Use image node_id 5 for calling the SlidingWindowOpTest obj's underlying member method code with example usage: obj.testSlidingWindow_MultipleEntries() without return types