code: def make_q_func(self, env):
      return q_functions.FCStateQFunctionWithDiscreteAction(
          env.observation_space.low.size, env.action_space.n, 10, 10
      )
  
imports: from chainer import functions
  from chainer import links
  from chainer import optimizers
  import numpy
  from chainerrl.action_value import DiscreteActionValue
  from chainerrl.envs.abc import ABC
  from chainerrl.explorers.epsilon_greedy import LinearDecayEpsilonGreedy
  from chainerrl.links import StatelessRecurrentSequential
  from chainerrl import q_functions
  from chainerrl import replay_buffer
  from basetest_training import _TestTraining
label_desc: Use image node_id 1 for calling the _TestNStepDQNOnDiscreteABC obj's underlying member method code with example usage: obj.make_q_func(env) and returns: q_functions