code: def setup(self, config: AlgorithmConfig):
      super().setup(config)
  
      self.target_network_update_freq = (
          self.config.target_network_update_freq
      )
      if self.target_network_update_freq is None:
          self.target_network_update_freq = (
              self.config.train_batch_size * 100
          )
      # added a counter key for keeping track of number of gradient updates
      self._counters[NUM_GRADIENT_UPDATES] = 0
      # if I don't set this here to zero I won't see zero in the logs (defaultdict)
      self._counters[NUM_TARGET_UPDATES] = 0
  
imports: import logging
  from typing import List, Optional, Type
  from ray.rllib.algorithms.algorithm import Algorithm
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
  from ray.rllib.execution import synchronous_parallel_sample
  from ray.rllib.execution.train_ops import multi_gpu_train_one_step, train_one_step
  from ray.rllib.policy import Policy
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.metrics import LAST_TARGET_UPDATE_TS, NUM_AGENT_STEPS_SAMPLED, NUM_AGENT_STEPS_TRAINED, NUM_ENV_STEPS_SAMPLED, NUM_ENV_STEPS_TRAINED, NUM_TARGET_UPDATES, SAMPLE_TIMER, TARGET_NET_UPDATE_TIMER
  from ray.rllib.utils.typing import ResultDict
label_desc: Use image node_id 1 for calling the CRR obj's underlying member method code with example usage: obj.setup(config) without return types