code: def __repr__(self):
      lfg_status = (
          "looking for group,"
          if self.is_looking_for_group
          else "not looking for group,"
      )
      if self.is_looking_for_group:
          if self.current_leader:
              lfg_status += f" following {self.current_leader},"
          if len(self.current_followers):
              lfg_status += (
                  f" leading {len(self.current_followers)} followers,"
              )
      schema_hash_repr = (
          f"{self.schema_hash[0]}...{self.schema_hash[-8:]}"
      )
      return (
          f"{self.__class__.__name__}(peer_id={self.peer_id}, schema={schema_hash_repr}, {lfg_status}"
          f" current key = {self.group_key_manager.current_key}, client_mode={self.client_mode})"
      )
  
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 3 for calling the Matchmaking obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str, schema_hash_repr, str, lfg_status, str, self, str, self, str