code: def make_q_func(self, env):
      n_dim_action = env.action_space.low.size
      n_dim_obs = env.observation_space.low.size
      return q_functions.FCQuadraticStateQFunction(
          n_input_channels=n_dim_obs,
          n_dim_action=n_dim_action,
          n_hidden_channels=20,
          n_hidden_layers=2,
          action_space=env.action_space,
      )
  
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 _TestDQNOnContinuousABC obj's underlying member method code with example usage: obj.make_q_func(env) and returns: q_functions