code: def __init__(
      self,
      entrypoint_file,
      queue_id: Optional[str] = None,
      status_update_interval: Optional[int] = None,
      client_max_tries: Optional[int] = None,
  ):
      super().__init__(
          entrypoint_file,
          queues=QueuingSystem.MULTIPROCESS,
          queue_id=queue_id,
      )
      self.client = LightningClient(max_tries=client_max_tries)
  
file_path: pytorch-lightning/src/lightning/app/runners/backends/cloud.py
imports: from typing import TYPE_CHECKING, List, Optional
  from lightning.app.core.queues import QueuingSystem
  from lightning.app.runners.backends import Backend
  from lightning.app.utilities.network import LightningClient
label_desc: Use image node_id 1 to create a new CloudBackend object from inherited base classes: Backend with example: obj = CloudBackend(entrypoint_file, queue_id, status_update_interval, client_max_tries)