【Python】进程-锁(1)

时间:2023-11-21 23:36:38
#第二题,做一个加减乘除的考试系统,自动出题,自动判对错,并统计结果,一次考试10道题
import random
symbols=["+","-","*","/"] total_count=0
correct_count=0
incorrect_count=0 while 1:
random_number1=random.randint(0,11)
random_number2=random.randint(0,11)
random_symbol=random.choice(symbols) if random_symbol=="/" and random_number2==0:
continue
elif random_symbol=="/" and random_number1%random_number2 !=0:
continue expression=str(random_number1)+" "+random_symbol+" "+str(random_number2)
answer=eval(expression) print expression,"= ",
while 1:
try:
user_answer=int(raw_input(""))
break
except:
print "input is not a number,try again" if user_answer==answer:
print "your answer is right"
correct_count+=1
total_count+=1
else:
print "your answer is wrong,the right answer is %s" %answer
incorrect_count+=1
total_count+=1
if total_count==3:
break print "correct answer is %s" %correct_count
print "incorrect answer is %s" %incorrect_count #第三题:计算一个二维矩阵的正对角线、反对角线、周边数之和
a=[ [1,2,3],
[4,5,6],
[7,8,9]
] #遍历正对角线
count=0
for i in range(len(a)):
for j in range(len(a[0])):
if i==j:
count+=a[i][j]
print count #遍历反对角线
#[0][2]
#[1][1]
#[2][0]
count=0
column=len(a[0])-1
for i in range(len(a)):
count+=a[i][column-i]
print count #周边元素和
#[0][0]
#[0][1]
#[0][2]
#[1][0]
#[1][2]
#[2][0]
#[2][1]
#[2][2]
count=0
for i in range(len(a)):
for j in range(len(a[0])):
if i==0 or i==len(a)-1 or j==0 or j==len(a[0])-1:
print i,j
count+=a[i][j]
print count #练习:加锁
from multiprocessing import Process,Lock
import time
def lock_lock(lock,num):
lock.acquire()
time.sleep(0.2)
print "hello Num: %s" %num
lock.release() if __name__=="__main__":
lock=Lock()
for num in range(20):
p=Process(target=lock_lock,args=(lock,num))
p.start() #练习:多进程写一个文件,加锁
from multiprocessing import Process,Lock
import time def write(lock,num):
lock.acquire()
with open("e:\\text40.txt","a+") as f:
f.write("wangjing:%s\n" %(num))
lock.release() if __name__=="__main__":
lock=Lock()
for i in range(5):
p=Process(target=write,args=(lock,i))
p.start()
p.join()
print "write file done" #练习:多把锁
import multiprocessing
import time
def worker(s, i):
s.acquire()
print(multiprocessing.current_process().name + " acquire")
time.sleep(i)
print(multiprocessing.current_process().name + " release")
s.release() if __name__ == "__main__":
# 设置限制最多3个进程同时访问共享资源
s = multiprocessing.Semaphore(3)
for i in range(5):
p = multiprocessing.Process(target = worker, args = (s, i * 2))
p.start()