code: def test_tuple_input(self):
      # Input: a tuple of 2 4-length arrays
      # Expected output: a list of 4 tuples, each of which has 2 arrays
      in_size0 = 2
      in_size1 = 3
      xs = (
          np.random.uniform(-1, 1, size=(4, in_size0)).astype(
              np.float32
          ),
          np.random.uniform(-1, 1, size=(4, in_size1)).astype(
              np.float32
          ),
      )
      split = stateless_recurrent.split_one_step_batch_input(xs)
      self.assertEqual(len(split), 4)
      self.assertEqual(len(split[0]), 2)
      np.testing.assert_allclose(split[0][0].array, [xs[0][0]])
      np.testing.assert_allclose(split[0][1].array, [xs[1][0]])
      np.testing.assert_allclose(split[1][0].array, [xs[0][1]])
      np.testing.assert_allclose(split[1][1].array, [xs[1][1]])
      np.testing.assert_allclose(split[2][0].array, [xs[0][2]])
      np.testing.assert_allclose(split[2][1].array, [xs[1][2]])
      np.testing.assert_allclose(split[3][0].array, [xs[0][3]])
      np.testing.assert_allclose(split[3][1].array, [xs[1][3]])
  
imports: import unittest
  from chainer import links
  from chainer import testing
  import numpy
  from chainerrl.links import stateless_recurrent
label_desc: Use image node_id 2 for calling the TestSplitOneStepBatchInput obj's underlying member method code with example usage: obj.test_tuple_input() without return types