20-多线程学习1

from multiprocessing.dummy import Pool as ThreadPool
import time


def fun(msg):
    print('msg: ', msg)
    time.sleep(1)
    print('********')
    return 'fun_return %s' % msg


if __name__ == '__main__':
    '''
    # map_async
    print('\n------map_async-------')
    arg = [1, 2, 10, 11, 18]
    async_pool = ThreadPool(processes=4)
    result = async_pool.map_async(fun, arg)
    print(result.ready())  # 线程函数是否已经启动了
    print('map_async: 不堵塞')
    result.wait()  # 等待所有线程函数执行完毕
    print('after wait')
    if result.ready():  # 线程函数是否已经启动了
        if result.successful():  # 线程函数是否执行成功
            print(result.get())  # 线程函数返回值
    '''

    '''
    # map
    print('\n------map-------')
    arg = [3, 5, 11, 19, 12]
    pool = ThreadPool(processes=3)
    return_list = pool.map(fun, arg)
    print('map: 堵塞')
    pool.close()
    pool.join()
    print(return_list)
    '''

    '''
    # apply_async
    print('\n------apply_async-------')
    async_pool = ThreadPool(processes=4)
    results = []
    for i in range(5):
        msg = 'msg: %d' % i
        result = async_pool.apply_async(fun, (msg,))
        results.append(result)
    
    print('apply_async: 不堵塞')
    for i in results:
        i.wait()  # 等待线程函数执行完毕
    
    for i in results:
        if i.ready():  # 线程函数是否已经启动了
            if i.successful():  # 线程函数是否执行成功
                print(i.get())  # 线程函数返回值
    '''


    # apply
    print('\n------apply-------')
    pool = ThreadPool(processes=4)
    results = []
    for i in range(5):
        msg = 'msg: %d' % i
        result = pool.apply(fun, (msg,))
        results.append(result)
    print('apply: 堵塞')
    pool.close()
    pool.join()
    print(results)