如何使用OpenAi-Gym和Scoop产生可重现的随机性？

import random

random.seed(0)  # 设置随机种子为0

import gym

env = gym.make('CartPole-v1')  # 创建CartPole环境

import scoop

def run_environment(env):
    # 执行环境
    observation = env.reset()
    done = False
    while not done:
        action = env.action_space.sample()
        observation, reward, done, info = env.step(action)

# 创建多个环境实例
envs = [gym.make('CartPole-v1') for _ in range(4)]

# 并行化执行环境
scoop.futures.map(run_environment, envs)