code: def linear_multiple_reward_fn_generator(per_action_theta_list):
      return [
          LinearNormalMultipleRewards(theta)
          for theta in per_action_theta_list
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import gin
  import numpy
  from six.moves import range
  import tensorflow
  from tf_agents.bandits.agents import utils
  from tf_agents.bandits.environments import wheel_py_environment
label_desc: Use image node_id 7 for calling a global function with example usage: linear_multiple_reward_fn_generator(per_action_theta_list) and returns: unknown