code: def _combine_inputs(hx, ws, bs, xs, num_layers, directions):
      combined = []
      combined.append(hx)
      for x in xs:
          combined.append(x)
  
      for n in range(num_layers):
          for direction in range(directions):
              idx = directions * n + direction
  
              for i in range(6):
                  combined.append(ws[idx][i])
              for i in range(6):
                  combined.append(bs[idx][i])
      return combined
  
imports: import numpy
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer.functions.activation import sigmoid
  from chainer.functions.activation import tanh
  from chainer.functions.array import concat
  from chainer.functions.array import split_axis
  from chainer.functions.connection import linear
  from chainer.functions.rnn import n_step_rnn
  from chainer.utils import argument
  from chainer import variable
  import chainerx
label_desc: Use image node_id 2 for calling a global function with example usage: _combine_inputs(hx, ws, bs, xs, num_layers, directions) and returns: combined