code: def parse_arch(arch, n_actions):
      if arch == "nature":
          return links.Sequence(
              links.NatureDQNHead(),
              L.Linear(512, n_actions),
              DiscreteActionValue,
          )
      elif arch == "doubledqn":
          return links.Sequence(
              links.NatureDQNHead(),
              L.Linear(512, n_actions, nobias=True),
              SingleSharedBias(),
              DiscreteActionValue,
          )
      elif arch == "nips":
          return links.Sequence(
              links.NIPSDQNHead(),
              L.Linear(256, n_actions),
              DiscreteActionValue,
          )
      elif arch == "dueling":
          return DuelingDQN(n_actions)
      else:
          raise RuntimeError(
              "Not supported architecture: {}".format(arch)
          )
  
imports: import argparse
  import os
  import chainer
  from chainer import functions
  from chainer import links
  from chainer import optimizers
  import numpy
  import chainerrl
  from chainerrl.action_value import DiscreteActionValue
  from chainerrl import agents
  from chainerrl import experiments
  from chainerrl import explorers
  from chainerrl import links
  from chainerrl import misc
  from chainerrl.q_functions import DuelingDQN
  from chainerrl import replay_buffer
  from chainerrl.wrappers import atari_wrappers
label_desc: Use image node_id 1 for calling a global function with example usage: parse_arch(arch, n_actions) and returns: links, links, links, DuelingDQN