code: def clip_filter():
      return InputFilter(
          reward_filters=OrderedDict(
              [("clip", RewardClippingFilter(2, 10))]
          )
      )
  
file_path: coach/rl_coach/tests/filters/reward/test_reward_clipping_filter.py
imports: import os
  import sys
  import pytest
  import numpy
  from rl_coach.filters.reward.reward_clipping_filter import RewardClippingFilter
  from rl_coach.spaces import RewardSpace
  from rl_coach.core_types import EnvResponse
  from collections import OrderedDict
  from rl_coach.filters.filter import InputFilter
label_desc: Use image node_id 1 for calling a global function with example usage: clip_filter() and returns: InputFilter