本文通过两个函数的实例展示了如何使用线程锁确保多线程环境下数据的安全更新。通过对比带锁的多线程执行与普通单线程执行的时间开销，说明了线程锁的作用及其实现方式。
import threading
import time
def job1():
global A, lock
lock.acquire()
for i in range(10):
A += 1
lock.release()
def job2():
global A, lock
lock.acquire()
for i in range(10):
A += 10
lock.release()
if __name__ == '__main__':
start1 = time.time()
lock = threading.Lock()
A = 0
t1 = threading.Thread(target=job1)
t2 = threading.Thread(target=job2)
t1.start()
t2.start()
t1.join()
t2.join()
print(A)
end1 = time.time()
print("thread cost:", end1 - start1)
start2 = time.time()
a = 0
for i in range(10):
a += 1
for i in range(10):
a += 10
print(a)
end2 = time.time()
print('normal cost:', end2 - start2)
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