code: def is_passive(self, rank: Optional[int] = None) -> bool:
      rank = self.rank if rank is None else rank
      return (rank % 2) == 0
  
imports: from abc import ABC, abstractmethod
  from math import log
  from typing import List, Optional, Tuple
  import torch
  import torch.distributed
label_desc: Use image node_id 4 for calling the DynamicBipartiteLinearGraph obj's underlying member method code with example usage: obj.is_passive(rank) and returns: unknown