code: def test_ple(self):
      self.start_tests(name="pygame-learning-environment")
      self.unittest(
          environment=dict(environment="ple", level="Catcher"),
          num_episodes=2,
      )
      # Assets missing:
      # self.unittest(environment=dict(environment='ple', level='FlappyBird'), num_episodes=2)
      # self.unittest(environment=dict(environment='ple', level='MonsterKong'), num_episodes=2)
      self.unittest(
          environment=dict(environment="ple", level="Pixelcopter"),
          num_episodes=2,
      )
      self.unittest(
          environment=dict(environment="ple", level="Pong"),
          num_episodes=2,
      )
      self.unittest(
          environment=dict(environment="ple", level="PuckWorld"),
          num_episodes=2,
      )
      # TypeError: invalid start_pos argument
      # self.unittest(environment=dict(environment='ple', level='RaycastMaze'), num_episodes=2)
      self.unittest(
          environment=dict(environment="ple", level="Snake"),
          num_episodes=2,
      )
      self.unittest(
          environment=dict(environment="ple", level="WaterWorld"),
          num_episodes=2,
      )
  
file_path: tensorforce/test/test_environments.py
imports: import pytest
  import unittest
  from test.unittest_base import UnittestBase
label_desc: Use image node_id 6 for calling the TestEnvironments obj's underlying member method code with example usage: obj.test_ple() without return types