code: def __init__(
      self,
      master_url: str,
      master_cert_file: Optional[str],
      master_cert_name: Optional[str],
      experiment_config: Dict[str, Any],
      hparams: Dict[str, Any],
      latest_checkpoint: Optional[str],
      steps_completed: int,
      use_gpu: bool,
      container_gpus: List[str],
      slot_ids: List[int],
      debug: bool,
      det_trial_id: str,
      det_experiment_id: str,
      det_agent_id: str,
      det_cluster_id: str,
      trial_seed: int,
      trial_run_id: int,
      allocation_id: str,
      managed_training: bool,
      test_mode: bool,
      on_cluster: bool,
  ):
      self.master_url = master_url
      self.master_cert_file = master_cert_file
      self.master_cert_name = master_cert_name
      self.experiment_config = det.ExperimentConfig(experiment_config)
      self.hparams = hparams
      self.latest_checkpoint = latest_checkpoint
      self.steps_completed = steps_completed
      self.use_gpu = use_gpu
      self.container_gpus = container_gpus
      self.slot_ids = slot_ids
      self.debug = debug
      self.det_trial_id = det_trial_id
      self.det_experiment_id = det_experiment_id
      self.det_agent_id = det_agent_id
      self.det_cluster_id = det_cluster_id
      self.trial_seed = trial_seed
      self.trial_run_id = trial_run_id
      self.allocation_id = allocation_id
      self.managed_training = managed_training
      self.test_mode = test_mode
      self.on_cluster = on_cluster
  
label_desc: Use image node_id 1 to create a new EnvContext object  with example: obj = EnvContext(master_url, master_cert_file, master_cert_name, experiment_config, hparams, latest_checkpoint, steps_completed, use_gpu, container_gpus, slot_ids, debug, det_trial_id, det_experiment_id, det_agent_id, det_cluster_id, trial_seed, trial_run_id, allocation_id, managed_training, test_mode, on_cluster)