code: def process_inputs(self, inputs):
      h = inputs[0]
      c = inputs[1]
      xs = inputs[2 : 2 + len(self.batches)]
      ws = []
      bs = []
      index = 2 + len(self.batches)
      for n in range(self.n_layers):
          ws.append(inputs[index : index + 8])
          bs.append(inputs[index + 8 : index + 16])
          index += 16
      return h, c, ws, bs, xs
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import backend
  from chainer.testing import condition
label_desc: Use image node_id 3 for calling the TestNStepLSTM obj's underlying member method code with example usage: obj.process_inputs(inputs) and returns: h,  c,  ws,  bs,  xs