class_docstr: An utility class that searches for averagers that could become our leaders
code: def __init__(
      self,
      peer_id: PeerID,
      min_matchmaking_time: DHTExpiration,
      target_group_size: Optional[int],
  ):
      self.peer_id, self.min_matchmaking_time = (
          peer_id,
          min_matchmaking_time,
      )
      self.target_group_size = target_group_size
      self.running, self.update_triggered, self.update_finished = (
          asyncio.Event(),
          asyncio.Event(),
          asyncio.Event(),
      )
      self.declared_expiration, self.lock_search, self.lock_declare = (
          asyncio.Event(),
          asyncio.Lock(),
          asyncio.Lock(),
      )
      self.leader_queue = TimedStorage[PeerID, DHTExpiration]()
      self.past_attempts: Set[Tuple[PeerID, DHTExpiration]] = set()
      self.declared_expiration_time = float("inf")
      self.declared_group_key: Optional[GroupKey] = None
      self.max_assured_time = float("-inf")
      self.search_end_time = float("inf")
  
imports: from __future__ import annotations
  import asyncio
  import concurrent.futures
  import contextlib
  import random
  from math import isfinite
  from typing import AsyncIterator, Dict, Optional, Set, Tuple, Type
  from hivemind.averaging.control import StepControl
  from hivemind.averaging.group_info import GroupInfo
  from hivemind.averaging.key_manager import GroupKey, GroupKeyManager
  from hivemind.dht import DHT, DHTID
  from hivemind.p2p import P2P, P2PContext, P2PDaemonError, P2PHandlerError, PeerID, ServicerBase
  from hivemind.proto import averaging_pb2
  from hivemind.utils import DHTExpiration, TimedStorage, get_dht_time, get_logger, timed_storage
  from hivemind.utils.asyncio import anext, cancel_and_wait
label_desc: Use image node_id 1 to create a new PotentialLeaders object  with example: obj = PotentialLeaders(peer_id, min_matchmaking_time, target_group_size)