docstr: Whether 'rank' is a passive node or not
docstr_tok: ["Whether","'rank","'","is","a","passive","node","or","not"]
code: def is_passive(self, rank: Optional[int] = None) -> bool:
      """Whether 'rank' is a passive node or not"""
      raise NotImplementedError
  
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 8 for calling the GraphManager obj's underlying member method code with example usage: obj.is_passive(rank) without return types