code: def __init__(self, rank: int, size: int):
      self._rank = rank
      self._size = size
  
file_path: fairseq/fairseq/distributed/fully_sharded_data_parallel.py
imports: import contextlib
  from typing import Optional
  import torch
  from fairseq.dataclass.configs import DistributedTrainingConfig
  from fairseq.distributed import utils
label_desc: Use image node_id 1 to create a new DummyProcessGroup object  with example: obj = DummyProcessGroup(rank, size)