code: def get_default_config(cls) -> AlgorithmConfig:
      return DDPPOConfig()
  
imports: import logging
  import time
  from typing import Optional
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
  from ray.rllib.algorithms.ppo import PPO, PPOConfig
  from ray.rllib.evaluation.postprocessing import Postprocessing
  from ray.rllib.evaluation.rollout_worker import RolloutWorker
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.metrics import LEARN_ON_BATCH_TIMER, NUM_AGENT_STEPS_SAMPLED, NUM_AGENT_STEPS_TRAINED, NUM_ENV_STEPS_SAMPLED, NUM_ENV_STEPS_TRAINED, SAMPLE_TIMER
  from ray.rllib.utils.metrics.learner_info import LearnerInfoBuilder
  from ray.rllib.utils.sgd import do_minibatch_sgd
  from ray.rllib.utils.typing import ResultDict
label_desc: Use image node_id 1 for calling the DDPPO obj's underlying member method code with example usage: obj.get_default_config(cls) and returns: DDPPOConfig