code: def test_agent_selection():
      action_space = AgentSelection(10)
  
      assert action_space.shape == 1
      assert action_space.high == 9
      assert action_space.low == 0
      with pytest.raises(ValueError):
          assert action_space.get_description(10)
      assert action_space.get_description(0) == "0"
  
file_path: coach/rl_coach/tests/test_spaces.py
imports: import os
  import sys
  import pytest
  from rl_coach.spaces import DiscreteActionSpace, BoxActionSpace, MultiSelectActionSpace, ObservationSpace, AgentSelection, VectorObservationSpace, AttentionActionSpace
  import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: test_agent_selection() without return types