code: def setup(self, config):
      self._num_iters = int(config["num_iters"])
      self._sleep_time = config["sleep_time"]
      self._score = config["score"]
  
      self._checkpoint_iters = config["checkpoint_iters"]
      self._checkpoint_size_b = config["checkpoint_size_b"]
      self._checkpoint_num_items = (
          self._checkpoint_size_b // 8
      )  # np.float64
  
      self._iter = 0
  
imports: from collections import Counter
  import json
  import numpy
  import os
  import pickle
  import tempfile
  import time
  from ray import train, tune
  from ray.train import Checkpoint
  from ray.tune.callback import Callback
  from ray._private.test_utils import safe_write_to_results_json
label_desc: Use image node_id 3 for calling the TestDurableTrainable obj's underlying member method code with example usage: obj.setup(config) without return types