code: def serving_obs_preprocessor(self, obs: np.ndarray):
      preprocessor = RecsimObsPreprocessor.create_from_env(self)
      return preprocessor(obs)
  
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 4 for calling the RecSim obj's underlying member method code with example usage: obj.serving_obs_preprocessor(obs) and returns: preprocessor