code: def multi_selection_value_fn(user, doc):
      return (np.inner(user, doc) + 1.0) / 2.0
  
imports: import logging
  import gym
  import numpy
  import reagent.core.types
  from reagent.core.dataclasses import dataclass
  from reagent.gym.envs.env_wrapper import EnvWrapper
  from reagent.gym.envs.wrappers.recsim import ValueWrapper
  from reagent.gym.preprocessors.default_preprocessors import RecsimObsPreprocessor
  from recsim import choice_model, utils
  from recsim.environments import interest_evolution, interest_exploration
  from recsim.simulator import environment, recsim_gym
label_desc: Use image node_id 2 for calling a global function with example usage: multi_selection_value_fn(user, doc) and returns: unknown