Memory consumption decrease about backend HOT 1 CLOSED

import logging
import multiprocessing
from typing import Literal
from lpsim.server.match import Match
from lpsim.utils import BaseModel
from lpsim.server.deck import Deck
from lpsim.agents import RandomAgent


class Main(BaseModel):
    """
    """

    version: str = '1.0.0'
    name: Literal['GITCG'] = 'GITCG'
    match: Match = Match()


def ttt(args):
    logging.basicConfig(level = logging.WARNING)
    agent_0 = RandomAgent(player_idx = 0)
    agent_1 = RandomAgent(player_idx = 1)
    main = Main()
    deck = Deck.from_str(
        '''
        default_version:4.1
        charactor:Rhodeia of Loch
        charactor:Kamisato Ayaka
        charactor:Yaoyao
        Traveler's Handy Sword*5
        Gambler's Earrings*5
        Kanten Senmyou Blessing*5
        Sweet Madame*5
        Abyssal Summons*5
        Fatui Conspiracy*5
        Timmie*5
        '''
    )
    main.match.set_deck([deck, deck])
    main.match.config.max_same_card_number = 30
    main.match.config.history_level = 10
    main.match.config.check_deck_restriction = False
    main.match.config.initial_hand_size = 20
    main.match.config.max_hand_size = 30
    main.match.config.card_number = None
    ##### remove comment to test non-compress
    # main.match.config.compress_history = False
    assert main.match.start()[0]
    main.match.step()

    while main.match.round_number < 100 and not main.match.is_game_end():
        if len(main.match._history_diff) > 400:
            break
        if main.match.need_respond(0):
            current_agent = agent_0
        elif main.match.need_respond(1):
            current_agent = agent_1
        else:
            raise RuntimeError('no agent need to respond')
        resp = current_agent.generate_response(main.match)
        assert resp is not None
        main.match.respond(resp)
        main.match.step()

    print('game end, save to logs.txt')
    return main.match

if __name__ == '__main__':
    pool = multiprocessing.Pool(16)
    data = pool.imap(ttt, [None] * 50)
    res = []
    for d in data:
        # input()
        res.append(d)
        ...
    pool.close()
    pool.join()
    print('done')
    input()