----------------------------------无法改变风向，可以调整风帆;无法左右天气，可以调整心情。如果事情无法改变，那就去改变观念。

# # ------------------------------------------------------------------------------------------------------------#

# # --------------[线程队列]--------------

# import queue

#先进先出队列
# q = queue.Queue(3) #创建了一个长度为3的队列,也就是说,最多只能放3个数据
#
# q.put(2)
# print('>>>>',q.qsize())
# q.put(5)
# print('>>>>',q.qsize())
# q.put(0)
#
# # q.put(1)
# try:
#     q.put_nowait(1)
# except Exception:
#     print('队列满了')
# print(q.get())
# print(q.get())
# print(q.get())
# # print(q.get())
# # print(q.get_nowait())

#后进先出,先进后出

# import queue
#
# q = queue.LifoQueue(3)
#
# q.put(1)
# q.put(2)
# q.put(3)
#
# print(q.get())
# print(q.get())
# print(q.get())

# 优先级队列

import queue

q = queue.PriorityQueue(5)

q.put((3,33))

q.put((1,2))
q.put((1,3))
# q.put((1,(3,2)))
# q.put((1,(1,2)))

q.put((2,22))
q.put((4,44))

print(q.get())
print(q.get())
print(q.get())
print(q.get())
print(q.get())

# # --------------[创建线程池]--------------

import time
from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor
from multiprocessing import Pool

def func(n):
    # print(n)
    time.sleep(1)
    return n * n

if __name__ == '__main__':
    # t_p = ThreadPoolExecutor(max_workers=4)
    t_p = ProcessPoolExecutor(max_workers=4)
    # p_pool = Pool(4)
    res_list = []

    for i in range(10):
        res = t_p.submit(func,i)  #异步提交任务
        # print(res.result())  #等待任务的执行结果,拿不到就阻塞,拿到了再运行
        res_list.append(res)

    t_p.shutdown()

    print('主线程结束')

    for res1 in res_list:
        print(res1.result())

    # for i in range(10):
    #     res = p_pool.apply_async(func,args=(i,))
    #     # print(res)
    #     print(res.get())

# # --------------[进程池的map方法]--------------

import time
from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor
from multiprocessing import Pool

def func(n):
    # print(n)
    time.sleep(1)
    return n * n

if __name__ == '__main__':
    t_p = ThreadPoolExecutor(max_workers=4)
    # t_p = ProcessPoolExecutor(max_workers=4)
    # p_pool = Pool(4)
    # res_list = []

    res = t_p.map(func,range(10))  #
    # print(res)
    t_p.shutdown()

    print('主线程结束')
    for i in res:
        print(i)

    # print([t1 for t1 in res])
    # for i in range(10):
    #     res = t_p.submit(func,i)  #异步提交任务
    #     # print(res.result())  #等待任务的执行结果,拿不到就阻塞,拿到了再运行
    #     res_list.append(res)
    #
    # t_p.shutdown()
    #
    # print('主线程结束')
    #
    # for res1 in res_list:
    #     print(res1.result())

    # for i in range(10):
    #     res = p_pool.apply_async(func,args=(i,))
    #     # print(res)
    #     print(res.get())

# # --------------[回调函数]--------------

import time
from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor
from multiprocessing import Pool

def func(n):
    time.sleep(1)
    return n * n

def call_back(m):
    print('>>>>>',m)
    print(m.result())

if __name__ == '__main__':
    # t_p = ThreadPoolExecutor(max_workers=4)
    t_p = ProcessPoolExecutor(max_workers=4)
    p_pool = Pool(4)
    res_list = []

    res = t_p.submit(func,10).add_done_callback(call_back)

    # p_pool.apply_async(func,args=(10,),callback=call_back)
    # for i in range(10):
    #     res = p_pool.apply_async(func,args=(i,))
    #     # print(res)
    #     print(res.get())