code: def forward_expected(self, inputs):
      c, x = inputs
      batch = x.shape[0]
  
      def _extract_gates(x):
          r = x.reshape((len(x), x.shape[1] // 4, 4) + x.shape[2:])
          return [r[:, :, i] for i in six.moves.range(4)]
  
      a, i, f, o = _extract_gates(x)
      a = numpy.tanh(a)
      i = sigmoid(i)
      f = sigmoid(f)
      o = sigmoid(o)
      c_exp = numpy.zeros_like(c)
      c_exp[:batch] = a * i + f * c[:batch]
      h_exp = o * numpy.tanh(c_exp[:batch])
      c_exp[batch:] = c[batch:]
      return (
          c_exp,
          h_exp,
      )
  
imports: import unittest
  import numpy
  import six
  from chainer.backends import cuda
  import chainer.functions
  from chainer.functions.rnn import lstm
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import backend
label_desc: Use image node_id 4 for calling the LSTMTestBase obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: c_exp,  h_exp, unknown