code: def generate_inputs(self):
      c_dim = self.c_dim
      num_c = self.num_c
      batch_size = self.batch_size
      c_shape = (batch_size, c_dim)
      input_shape = (batch_size, c_dim * (num_c + 3))
      inputs = []
      for i in range(num_c):
          inputs.append(_shaped_random_array(c_shape, self.dtype))
      inputs.append(_shaped_random_array(input_shape, self.dtype))
      return tuple(inputs)
  
file_path: chainer/tests/chainer_tests/functions_tests/rnn_tests/test_function_tree_lstm.py
imports: import numpy
  import six
  from chainer import functions
  from chainer import testing
  from chainer.testing import backend
label_desc: Use image node_id 2 for calling the TestTreeLSTM obj's underlying member method code with example usage: obj.generate_inputs() and returns: tuple