code: def rank(self) -> int:
      return self._rank
  
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 2 for calling the DummyProcessGroup obj's underlying member method code with example usage: obj.rank() and returns: self