code: def test_logged_info_full_DC():
      p_row_act = [1, 1, 1, 1]
      p_col_act = [0, 0, 0, 0]
      max_steps = 4
      env_all = [init_env(max_steps, env_class) for env_class in ENVS]
      n_steps = int(max_steps * 8.25)
  
      for env in env_all:
          obs, info = env.reset()
          check_obs(obs, env)
          assert_logger_buffer_size_two_players(env, n_steps=0)
  
          assert_info(
              n_steps,
              p_row_act,
              p_col_act,
              env,
              max_steps,
              CC=0.0,
              DD=0.0,
              CD=0.0,
              DC=1.0,
          )
  
file_path: ray/rllib/examples/env/tests/test_matrix_sequential_social_dilemma.py
imports: import random
  from ray.rllib.examples.env.matrix_sequential_social_dilemma import IteratedPrisonersDilemma, IteratedChicken, IteratedStagHunt, IteratedBoS
label_desc: Use image node_id 12 for calling a global function with example usage: test_logged_info_full_DC() without return types