code: def __init__(
      self,
      *args,
      environment,
      num_episodes,
      base,
      runs_per_round,
      max_episode_timesteps=None,
      num_parallel=None,
      **kwargs,
  ):
      super().__init__(*args, **kwargs)
      self.environment = environment
      self.max_episode_timesteps = max_episode_timesteps
      self.num_episodes = num_episodes
      self.base = base
      self.runs_per_round = runs_per_round
      self.num_parallel = num_parallel
  
file_path: tensorforce/tune.py
imports: import argparse
  import importlib
  import math
  import os
  import pickle
  import ConfigSpace
  from hpbandster.core.nameserver import NameServer, nic_name_to_host
  from hpbandster.core.result import json_result_logger, logged_results_to_HBS_result
  from hpbandster.core.worker import Worker
  from hpbandster.optimizers import BOHB
  import numpy
  from tensorforce import Runner, util
label_desc: Use image node_id 1 to create a new TensorforceWorker object from inherited base classes: Worker with example: obj = TensorforceWorker()