我想写一个代码,每秒执行指定次数的语句, 你们中的许多人可能对比率这个词更为熟悉
这里我希望费率为每秒30次
说我想每秒执行30次函数60秒 表示速率= 30 /秒持续时间= 60秒
任何人都可以告诉我他们在python中的任何api都可以这样做吗?
答案 0 :(得分:0)
尝试使用threading.Timer
:
def hello():
print "hello, world"
t = Timer(30.0, hello)
t.start() # after 30 seconds, "hello, world" will be printed
答案 1 :(得分:0)
您可以使用time.time()
做您想做的事情:
import time
def your_function():
# do something...
while True:
start = time.time() # gives current time in seconds since Jan 1, 1970 (in Unix)
your_function()
while True:
current_time = time.time()
if current_time - start >= 1.0/30.0:
break
这将确保your_function
的通话之间的延迟非常接近1/30秒,即使your_function
需要一段时间才能运行。
还有另一种方法:使用Pythons内置调度模块sched
。我从来没用过它,所以我无法帮助你,但看看它。
答案 2 :(得分:0)
sched
模块的目的是:
from __future__ import division
import sched
import time
scheduler = sched.scheduler(time.time, time.sleep)
def schedule_it(frequency, duration, callable, *args):
no_of_events = int( duration / frequency )
priority = 1 # not used, lets you assign execution order to events scheduled for the same time
for i in xrange( no_of_events ):
delay = i * frequency
scheduler.enter( delay, priority, callable, args)
def printer(x):
print x
# execute printer 30 times a second for 60 seconds
schedule_it(1/30, 60, printer, 'hello')
scheduler.run()
对于线程环境,sched.scheduler
的使用可以替换为threading.Timer
:
from __future__ import division
import time
import threading
def schedule_it(frequency, duration, callable, *args, **kwargs):
no_of_events = int( duration / frequency )
for i in xrange( no_of_events ):
delay = i * frequency
threading.Timer(delay, callable, args=args, kwargs=kwargs).start()
def printer(x):
print x
schedule_it(5, 10, printer, 'hello')
答案 3 :(得分:-1)
经过一段时间的花费,我发现如何做得很好我在python中使用多处理来实现它 这是我的解决方案
#!/usr/bin/env python
from multiprocessing import Process
import os
import time
import datetime
def sleeper(name, seconds):
time.sleep(seconds)
print "PNAME:- %s"%name
if __name__ == '__main__':
pros={}
processes=[]
i=0
time2=0
time1=datetime.datetime.now()
for sec in range(5):
flag=0
while flag!=1:
time2=datetime.datetime.now()
if (time2-time1).seconds==1:
time1=time2
flag=1
print "Executing Per second"
for no in range(5):
i+=1
pros[i] = Process(target=sleeper, args=("Thread-%d"%i, 1))
j=i-5
for no in range(5):
j+=1
pros[j].start()
j=i-5
for no in range(5):
j+=1
processes.append(pros[j])
for p in processes:
p.join()