code: def __init__(self):
      self.master_addr = "127.0.0.1"
      self.master_port = 0
      self.rank = -1
      self.world_size = -1
      self.local_rank = -1
      self.local_world_size = -1
  
      if _is_slurm_job_process():
          return self._set_from_slurm_env()
  
      env_vars = _collect_env_vars()
      if not env_vars:
          # Environment is not set
          pass
      elif len(env_vars) == len(_TORCH_DISTRIBUTED_ENV_VARS):
          # Environment is fully set
          return self._set_from_preset_env()
      else:
          # Environment is partially set
          collected_env_vars = ", ".join(env_vars.keys())
          raise RuntimeError(
              f"Partially set environment: {collected_env_vars}"
          )
  
      if torch.cuda.device_count() > 0:
          return self._set_from_local()
  
      raise RuntimeError(
          "Can't initialize PyTorch distributed environment"
      )
  
imports: import os
  import random
  import re
  import socket
  from typing import Dict, List
  import torch
  import torch.distributed
label_desc: Use image node_id 1 to create a new _TorchDistributedEnvironment object  with example: obj = _TorchDistributedEnvironment()