code: def test_concatenate_lm_input(self):
      tensors1 = [(np.zeros((5)), np.ones((3)))]
  
      lm_input_function1 = data.inputs.ConcatenateToLMInput(
          pad_to_length=10
      )
      lm_input_1 = next(lm_input_function1(tensors1))
      self.assertEqual(lm_input_1[0].shape, (10,))
      self.assertEqual(lm_input_1[1].shape, (10,))
      self.assertEqual(lm_input_1[2].shape, (10,))
      self.assertEqual(
          lm_input_1[2].all(),
          np.array(
              [[0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.0]]
          ).all(),
      )
  
      tensors2 = [(np.zeros((5)), np.ones((3)))]
      lm_input_function2 = data.inputs.ConcatenateToLMInput()
      lm_input_2 = next(lm_input_function2(tensors2))
      self.assertEqual(lm_input_2[0].shape, (8,))
      self.assertEqual(lm_input_2[1].shape, (8,))
      self.assertEqual(lm_input_2[2].shape, (8,))
      self.assertEqual(
          lm_input_2[2].all(),
          np.array([[0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0]]).all(),
      )
  
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 23 for calling the InputsTest obj's underlying member method code with example usage: obj.test_concatenate_lm_input() without return types