7.20 python线程3

2018-7-20 18:46:49 去俺弟家玩去 后天回来

1.复习

# !/usr/bin/env python
# !--*--coding:utf-8 --*--
# !@Time    :2018/7/20 8:56
# !@Author   TrueNewBee

# 正确的学习方法
#       input
#       output
#       correct 纠正

# 线程:
#   1.线程是进程中的执行单位
#   2.线程是cpu执行的最小单位
#   3.线程之间资源共享
#   4.线程的开启和关闭以及切换的时间开销远远小于进程
#   5.线程本身可以在同一时间使用多个cpu
# python 与 线程
#   CPython解释器在解释代码过程中容易产生数据不安全的问题
#   GIL全局解释器锁 锁的是线程
# threading

2.守护线程

# !/usr/bin/env python
# !--*--coding:utf-8 --*--
# !@Time    :2018/7/20 9:04
# !@Author   TrueNewBee
import time
from threading import Thread


def func1():
    while True:
        print('*'*10)
        time.sleep(1)


def func2():
    print('in func2')
    time.sleep(5)


if __name__ == '__main__':
    t = Thread(target=func1, )
    t.daemon = True
    t.start()
    t2 = Thread(target=func2, )
    t2.start()
    t2.join()
    print('主线程')

# 守护进程随着主进程代码的结束而结束(进程间资源不共享,所以想咋结束咋结束)
# 守护线程会在主线程结束之后等待其他子线程的结束才结束(线程间资源共享,所以不能主线程不能立马结束)

# 主进程在执行完自己的代码之后不会立即结束,而是等待子进程结束之后 挥手子进程的资源

# import time
# from multiprocessing import Process
#
#
# def func():
#     time.sleep(5)
#
#
# if __name__ == '__main__':
#     Process(target=func, ).start()

3.锁

# !/usr/bin/env python
# !--*--coding:utf-8 --*--
# !@Time    :2018/7/20 9:29
# !@Author   TrueNewBee
# import time
# from threading import Thread, Lock


# def func(lock1):
#     global n
#     lock1.acquire()  # 加上一个锁
#     # n = 1  python内部就是下面执行的
#     temp = n
#     time.sleep(0.2)
#     n = temp - 1    # 9 刚取回来还没来得及赋值又被别人拿走了,所以得自己加个锁不让被人拿走
#     lock1.release()  # 换钥匙
#
#
# n = 10
# t_list = []
# lock = Lock()
# for i in range(10):
#     t = Thread(target=func, args=(lock, ))
#     t.start()
#     t_list.append(t)
# for t in t_list:
#     t.join()
# print(n)    # 不加锁是9 加锁是 0

# 科学家吃面问题 经典死锁问题
# noodle_lock = Lock()
# fork_lock = Lock()
# 互斥锁
#
#
# def eat1(name):
#     noodle_lock.acquire()
#     print('%s拿到面条啦' % name)
#     fork_lock.acquire()
#     print('%s拿到叉子啦' % name)
#     print('%s吃面' % name)
#     fork_lock.release()
#     noodle_lock.release()
#
#
# def eat2(name):
#     fork_lock.acquire()
#     print('%s拿到叉子啦' % name)
#     time.sleep(1)
#     noodle_lock.acquire()
#     print('%s拿到面条啦' % name)
#     print('吃面')
#     noodle_lock.release()
#     fork_lock.release()
#
#
# if __name__ == '__main__':
#     Thread(target=eat1, args=('alex', )).start()
#     Thread(target=eat2, args=('Egon',)).start()
#     Thread(target=eat1, args=('bossJin',)).start()
#     Thread(target=eat2, args=('zeZha',)).start()
import time
from threading import RLock, Thread


fork_lock = noodle_lock = RLock()   # 一个钥匙串上的两把钥匙
# 递归锁   为了解决死锁问题,可以acquire()多次,


def eat1(name):
    noodle_lock.acquire()   # 一把钥匙
    print('%s拿到面条啦' % name)
    fork_lock.acquire()
    print('%s拿到叉子啦' % name)
    print('%s吃面' % name)
    fork_lock.release()
    noodle_lock.release()


def eat2(name):
    fork_lock.acquire()
    print('%s拿到叉子啦' % name)
    time.sleep(1)
    noodle_lock.acquire()
    print('%s拿到面条啦' % name)
    print('%s吃面' % name)
    noodle_lock.release()
    fork_lock.release()


if __name__ == '__main__':
    Thread(target=eat1, args=('alex', )).start()
    Thread(target=eat2, args=('Egon',)).start()
    Thread(target=eat1, args=('bossJin',)).start()
    Thread(target=eat2, args=('zeZha',)).start()

4.条件和定时器

# !/usr/bin/env python
# !--*--coding:utf-8 --*--
# !@Time    :2018/7/20 11:25
# !@Author   TrueNewBee
import time
from threading import Semaphore, Thread


def func(sem1, a, b):
    # 同一时间就让四个线程执行代码
    sem1.acquire()
    time.sleep(1)
    print(a+b)
    sem1.release()


if __name__ == '__main__':
    sem = Semaphore(4)
    for i in range(10):
        t = Thread(target=func, args=(sem, i, i+5))
        t.start()

5.事件

# !/usr/bin/env python
# !--*--coding:utf-8 --*--
# !@Time    :2018/7/20 11:31
# !@Author   TrueNewBee
# 事件被创建的时候
# False状态
#       wait() 阻塞
# True状态
#       wait() 非阻塞
# clear 设置状态为False
# set   设置状态为True


# 数据库- 文件夹
# 文件夹里有好多excel表格
#   1.能够更方便的对数据进行增删改查
#   2.安全访问的机制


# 伪代码 看现象:
# 起两个线程
# 第一个线程:连接数据库
#   等待一个信号,告诉我我们之间的网络是通的
#   连接数据库
# 第二个线程:检测与数据库之间的网络情况是否连通
#       time.sleep(0,2)
#       将事件状态设置为True

import time
import random
from threading import Thread, Event


def connect_db(e1):
    count = 0
    while count < 3:
        # 连接三次
        e1.wait(0.5)  # 状态是False的时候,我只等待1s
        if e1.is_set() == True:
            print('连接成功')
            break
        else:
            count += 1
            print('第%s次连接失败' % count)
    else:
        # 连接三次都都没连上,主动抛出异常
        raise TimeoutError('数据库连接超时')


def check_web(e2):
    time.sleep(random.randint(0, 3))
    e2.set()


if __name__ == '__main__':
    e = Event()
    t1 = Thread(target=connect_db, args=(e, ))
    t2 = Thread(target=check_web, args=(e, ))
    t1.start()
    t2.start()