class_docstr: Clips the reward values into a given range. For example, in DQN, the Atari rewards are
  clipped into the range -1 and 1 in order to control the scale of the returns.
code: def get_filtered_reward_space(
      self, input_reward_space: RewardSpace
  ) -> RewardSpace:
      input_reward_space.high = min(
          self.clipping_high, input_reward_space.high
      )
      input_reward_space.low = max(
          self.clipping_low, input_reward_space.low
      )
      return input_reward_space
  
file_path: coach/rl_coach/filters/reward/reward_clipping_filter.py
imports: import numpy
  from rl_coach.core_types import RewardType
  from rl_coach.filters.reward.reward_filter import RewardFilter
  from rl_coach.spaces import RewardSpace
label_desc: Use image node_id 3 for calling the RewardClippingFilter obj's underlying member method code with example usage: obj.get_filtered_reward_space(input_reward_space) and returns: input_reward_space