code: def _do_test_fault_ignore(
      self, config: AlgorithmConfig, fail_eval: bool = False
  ):
      # Test fault handling
      config.num_rollout_workers = 2
      config.ignore_worker_failures = True
      config.recreate_failed_workers = False
      config.env = "fault_env"
      # Make worker idx=1 fail. Other workers will be ok.
      config.env_config = {
          "bad_indices": [1],
      }
      if fail_eval:
          config.evaluation_num_workers = 2
          config.evaluation_interval = 1
          config.evaluation_config = {
              "ignore_worker_failures": True,
              "recreate_failed_workers": False,
              "env_config": {
                  # Make worker idx=1 fail. Other workers will be ok.
                  "bad_indices": [1],
                  "evaluation": True,
              },
          }
  
      print(config)
  
      for _ in framework_iterator(config, frameworks=("tf2", "torch")):
          algo = config.build()
          algo.train()
  
          # One of the rollout workers failed.
          self.assertEqual(algo.workers.num_healthy_remote_workers(), 1)
          if fail_eval:
              # One of the eval workers failed.
              self.assertEqual(
                  algo.evaluation_workers.num_healthy_remote_workers(),
                  1,
              )
  
          algo.stop()
  
imports: from collections import defaultdict
  import gymnasium
  import numpy
  import time
  import unittest
  import ray
  from ray.util.state import list_actors
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
  from ray.rllib.algorithms.callbacks import DefaultCallbacks
  from ray.rllib.algorithms.dqn.dqn import DQNConfig
  from ray.rllib.algorithms.impala import ImpalaConfig
  from ray.rllib.algorithms.pg import PGConfig
  from ray.rllib.algorithms.pg.pg_tf_policy import PGTF2Policy
  from ray.rllib.algorithms.pg.pg_torch_policy import PGTorchPolicy
  from ray.rllib.algorithms.ppo import PPOConfig
  from ray.rllib.env.multi_agent_env import make_multi_agent
  from ray.rllib.evaluation.rollout_worker import RolloutWorker
  from ray.rllib.examples.env.random_env import RandomEnv
  from ray.rllib.utils.test_utils import framework_iterator
  from ray.tune.registry import register_env
label_desc: Use image node_id 3 for calling the TestWorkerFailures obj's underlying member method code with example usage: obj._do_test_fault_ignore(config, fail_eval) without return types