code: def test_init():
      # discrete control
      action_space = DiscreteActionSpace(3)
      noise_schedule = LinearSchedule(1.0, 1.0, 1000)
  
      # additive noise requires a bounded range for the actions
      action_space = BoxActionSpace(np.array([10]))
      with pytest.raises(ValueError):
          policy = AdditiveNoise(action_space, noise_schedule, 0)
  
file_path: coach/rl_coach/tests/exploration_policies/test_additive_noise.py
imports: import os
  import sys
  import pytest
  from rl_coach.spaces import DiscreteActionSpace, BoxActionSpace
  from rl_coach.exploration_policies.additive_noise import AdditiveNoise
  from rl_coach.schedules import LinearSchedule
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: test_init() without return types