code: def test_pad_to_length(self):
      tensors1 = [(np.zeros((5)), np.ones((3)))]
      pad_to_length_function1 = data.inputs.PadToLength(
          len_map={0: 10, 1: 11}, pad_value={0: 0, 1: 1}
      )
      padded1 = next(pad_to_length_function1(tensors1))
      self.assertEqual(padded1[0].shape, (10,))
      self.assertEqual(padded1[1].shape, (11,))
  
      tensors2 = [(np.zeros((15)), np.ones((20)))]
      pad_to_length_function2 = data.inputs.PadToLength(
          len_map={0: 10, 1: 10}, pad_value={0: 0, 1: 1}, multiple=True
      )
      padded2 = next(pad_to_length_function2(tensors2))
      self.assertEqual(padded2[0].shape, (20,))
      self.assertEqual(padded2[1].shape, (20,))
  
imports: import itertools
  import os
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from trax import data
label_desc: Use image node_id 22 for calling the InputsTest obj's underlying member method code with example usage: obj.test_pad_to_length() without return types