code: def test_padding_default(self):
      layer = tl.MaxPool(pool_size=(3,), strides=(3,))
  
      # Discard incomplete window at end: [[3, 6], [4, 5]].
      x = np.array([[[0, 9], [1, 8], [2, 7], [3, 6], [4, 5]]])
      y = layer(x)
      self.assertEqual(tl.to_list(y), [[[2, 9]]])
  
file_path: trax/trax/layers/pooling_test.py
imports: from absl.testing import absltest
  import numpy
  import trax.layers
label_desc: Use image node_id 3 for calling the MaxPoolTest obj's underlying member method code with example usage: obj.test_padding_default() without return types