运行程序得到的一次运行结果
from random import randint
from time import time, sleep
def download_task(filename):
print('开始下载%s...' % filename)
time_to_download = randint(5, 10)
sleep(time_to_download)
print('%s下载完成! 耗费了%d秒' % (filename, time_to_download))
def main():
start = time()
download_task('Python从入门到住院.pdf')
download_task('Peking Hot.avi')
end = time()
print('总共耗费了%.2f秒.' % (end - start))
if __name__ == '__main__':
main()
开始下载Python从入门到住院.pdf...
Python从入门到住院.pdf下载完成! 耗费了9秒
开始下载Peking Hot.avi...
Peking Hot.avi下载完成! 耗费了6秒
总共耗费了15.01秒.
多进程的方式将两个下载任务放到不同的进程中
from multiprocessing import Process
from os import getpid
from random import randint
from time import time, sleep
def download_task(filename):
print('启动下载进程,进程号[%d].' % getpid())
print('开始下载%s...' % filename)
time_to_download = randint(5, 10)
sleep(time_to_download)
print('%s下载完成! 耗费了%d秒' % (filename, time_to_download))
def main():
start = time()
p1 = Process(target = download_task, args = ('Python从入门到住院.pdf',))
p1.start()
p2 = Process(target = download_task, args = ('Peking Hot.avi', ))
p2.start()
p1.join()
p2.join()
end = time()
print('总共耗费了%.2f秒' % (end - start))
if __name__ == '__main__':
main()
启动下载进程,进程号[22482].
开始下载Python从入门到住院.pdf...
启动下载进程,进程号[22487].
开始下载Peking Hot.avi...
Python从入门到住院.pdf下载完成! 耗费了6秒
Peking Hot.avi下载完成! 耗费了7秒
总共耗费了7.04秒
如何实现两个进程间的通信
from multiprocessing import Process
from time import sleep
counter = 0
def sub_task(string):
global counter
while counter < 10:
print(string, end = '', flush = True)
counter += 1
sleep(0.01)
def main():
Process(target = sub_task, args = ('Ping', )).start()
Process(target = sub_task, args = ('Pong', )).start()
if __name__ == '__main__':
main()
PingPongPingPongPingPongPingPongPingPongPingPongPingPongPingPongPingPongPingPong
Python中的多线程–推荐使用threading模块
from random import randint
from threading import Thread
from time import time, sleep
def download(filename):
print('开始下载%s...' % filename)
time_to_download = randint(5, 10)
sleep(time_to_download)
print('%s下载完成!耗费了%d秒' % (filename, time_to_download))
def main():
start = time()
t1 = Thread(target = download, args = ('Python从入门到住院', ))
t1.start()
t2 = Thread(target = download, args = ('Peding HOt.avi'))
t2.start()
t1.join()
t2.join()
end = time()
print('总共耗费了%.3f秒' % (end - start))
if __name__ == '__main__':
main()
开始下载Python从入门到住院...
Exception in thread Thread-6:
Traceback (most recent call last):
File "/home/lance/anaconda3/lib/python3.7/threading.py", line 926, in _bootstrap_inner
self.run()
File "/home/lance/anaconda3/lib/python3.7/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
TypeError: download() takes 1 positional argument but 14 were given
Python从入门到住院下载完成!耗费了5秒
总共耗费了5.007秒
通过继承Threading模块的Thread类的方式来创建自定义的线程类,然后再创建线程对象并启动线程
from random import randint
from threading import Thread
from time import time, sleep
class DownloadTask(Thread):
def __init__(self, filename):
super().__init__()
self._filename = filename
def run(self):
print('开始下载%s..' % self._filename)
time_to_download = randint(5, 10)
sleep(time_to_download)
print('%s下载完成! 耗费了 %d 秒' % (self._filename, time_to_download))
def main():
start = time()
t1 = DownloadTask('Python从入门到住院.pdf')
t1.start()
t2 = DownloadTask('Peking hot.avi')
t2.start()
t1.join()
t2.join()
end = time()
print('总共耗费了%.2f秒.' % (end-start))
if __name__ == '__main__':
main()
开始下载Python从入门到住院.pdf..
开始下载Peking hot.avi..
Python从入门到住院.pdf下载完成! 耗费了 5 秒
Peking hot.avi下载完成! 耗费了 7 秒
总共耗费了7.01秒.
一个资源被多个线程竞争使用,那么我们通常称之为“临界资源”
from time import sleep
from threading import Thread
class Account(object):
def __init__(self):
self._balance = 0
def deposit(self, money):
# 计算存款后的余额
new_balance = self._balance + money
# 模拟受理存款业务需要0.01秒的时间
sleep(0.01)
# 修改账户余额
self._balance = new_balance
@property
def balance(self):
return self._balance
class AddMoneyThread(Thread):
def __init__(self, account, money):
super().__init__()
self._account = account
self._money = money
def run(self):
self._account.deposit(self._money)
def main():
account = Account()
threads = []
# 创建100个存款的线程向同一个账户中存钱
for _ in range(100):
t = AddMoneyThread(account, 1)
threads.append(t)
t.start()
# 等所有存款的线程都执行完毕
for t in threads:
t.join()
print('账户余额为: ¥%d元' % account.balance)
if __name__ == '__main__':
main()
账户余额为: ¥2元
通过“锁”来保护“临界资源”
from time import sleep
from threading import Thread
class Account(object):
def __init__(self):
self._balance = 0
self._lock = Lock()
def deposit(self, money):
# 先获取锁才能执行后续的代码
self._lock.acquire()
try:
new_balance = self._balance + money
sleep(0.01)
self._balance = new_balance
finally:
# 在finally中执行释放锁的操作保证正常异常锁都能释放
self._lock.release()
@property
def balance(self):
return self._balance
class AddMoneyThread(Thread):
def __init__(self, account, money):
super().__init__()
self._account = account
self._money = money
def run(self):
self._account.deposit(self._money)
def main():
account = Account()
threads = []
# 创建100个存款的线程想同一个账户存钱
for _ in range(100):
t = AddMoneyThread(account, 1)
threads.append(t)
t.start()
# 等所优存款的线程都执行完毕
for t in threads:
t.join()
print('账户余额为:$%d元' % account.balance)
if __name__ == '__main__':
main()
账户余额为:$100元
例子1:将耗时间的任务放到线程中以获得更好的用户体验。
import time
import tkinter
import tkinter.messagebox
def download():
# 模拟下载任务需要花费10s时间
time.sleep(10)
tkinter.messagebox.showinfo('tips:', '下载完成!')
def show_about():
tkinter.messagebox.showinfo('关于', '作者:zhy')
def main():
top = tkinter.Tk()
top.title('单线程')
top.geometry('200x150')
top.wm_attributes('-topmost', True)
panel = tkinter.Frame(top)
button1 = tkinter.Button(panel, text = 'download', command = download)
button1.pack(side = 'left')
button2 = tkinter.Button(panel, text = 'about', command = show_about)
button2.pack(side = 'right')
panel.pack(side = 'bottom')
tkinter.mainloop()
if __name__ == '__main__':
main()
使用多线程将耗时间的任务放到一个独立的线程中执行,避免因为执行耗时间的任务而阻塞了主线程
import time
import tkinter
import tkinter.messagebox
from threading import Thread
def main():
class DownloadTaskHandler(Thread):
def run(self):
time.sleep(10)
tkinter.messagebox.showinfo('提示', '下载完成')
# 启动下载按钮
button1.config(state = tkinter.NORMAL)
def download():
# 禁用下载按钮
button1.config(state = tkinter.DISABLED)
# 通过daemon参数将线程设置为守护线程(主程序推出就不再保留执行)
# 在线程中处理耗时间的下载时间
DownloadTaskHandler(daemon = True).start()
def show_about():
tkinter.messagebox.showinfo('关于', '作者')
top = tkinter.Tk()
top.title('单线程')
top.geometry('200x150')
top.wm_attributes('-topmost', 1)
panel = tkinter.Frame(top)
button1 = tkinter.Button(panel, text = '下载', command = download)
button1.pack(side = 'left')
button2 = tkinter.Button(panel, text = '关于', command = show_about)
button2.pack(side = 'right')
panel.pack(side = 'right')
panel.pack(side = 'bottom')
tkinter.mainloop()
if __name__ == '__main__':
main()
Exception in thread Thread-4:
Traceback (most recent call last):
File "/home/lance/anaconda3/lib/python3.7/threading.py", line 926, in _bootstrap_inner
self.run()
File "<ipython-input-1-7212b40650b5>", line 11, in run
button1.config(state = tkinter.NORMAL)
File "/home/lance/anaconda3/lib/python3.7/tkinter/__init__.py", line 1485, in configure
return self._configure('configure', cnf, kw)
File "/home/lance/anaconda3/lib/python3.7/tkinter/__init__.py", line 1476, in _configure
self.tk.call(_flatten((self._w, cmd)) + self._options(cnf))
RuntimeError: main thread is not in main loop
例子2:使用多进程对复杂任务进行“分而治之”。
from time import time
def main():
total = 0
number_list = [x for x in range(1, 100000001)]
start = time()
for number in number_list:
total += number
print(total)
end = time()
print('Execution time: %.3fs' % (end - start))
if __name__ == '__main__':
main()
5000000050000000
Execution time: 3.151s
from multiprocessing import Process, Queue
from random import randint
from time import time
def task_handler(curr_list, result_queue):
total = 0
for number in curr_list:
total += number
result_queue.put(total)
def main():
processes = []
number_list = [x for x in range(1, 100000001)]
result_queue = Queue()
index = 0
# 启动8个进程将数据切片后进行运算
for _ in range(8):
p = Process(target = task_handler,
args = (number_list[index:index + 12500000], result_queue))
index += 12500000
processes.append(p)
p.start()
# 开始记录所有进程执行完成花费的时间
start = time()
for p in processes:
p.join()
# 合并执行结果
total = 0
while not result_queue.empty():
total += result_queue.get()
print(total)
end = time()
print('Execution time: ', (end - start), 's', sep = '')
if __name__ == '__main__':
main()
5000000050000000
Execution time: 0.3977470397949219s
来源:CSDN
作者:lancecrazy
链接:https://blog.csdn.net/lancecrazy/article/details/104018501