code: def slave(self, pipe, trainer, dataset):
      while 1:
          x = pipe.recv()
          current_trainer = trainer.duplicate_from_hyper_parameter(x)
          current_trainer.train(dataset)
          loss, is_higher_better = current_trainer.get_valid_score(
              dataset
          )
          trainer_pic = dill.dumps(current_trainer)
          pipe.send(trainer_pic)
          pipe.send(loss)
  
imports: from ...utils import get_logger
  import hyperopt
  import time
  import math
  import dill
  import multiprocessing
  import copy
  import random
label_desc: Use image node_id 13 for calling the BaseHPOptimizer obj's underlying member method code with example usage: obj.slave(pipe, trainer, dataset) without return types