我有以下脚本,我测量实际经过时间forseveral睡眠函数。我使用time.sleep()来暂停程序或psychopy.core.wait(),它被认为更精确,并使用高分辨率计时器。我正在测试后者,因为wait()函数似乎会导致一些麻烦(例如,暂停程序的时间比它应该更短)。python time.clock()结果不准确,并关闭
from psychopy import core
import time
import scipy
import sys
times1 = []
times2 = []
times3 = []
times4 = []
testtime = 40 # Time to wait (40 ms)
n = 200 # Iterations
print "Starting timing test with", testtime, "ms as reference; running", n, "times."
for i in range(n):
t1 = time.time()
time.sleep(testtime/1000.0)
measurement = (time.time()-t1)*1000
times1.append(measurement)
time.clock()
time.sleep(testtime/1000.0)
measurement = time.clock()
times2.append(measurement)
t1 = time.time()
core.wait(testtime/1000.0)
measurement = (time.time()-t1)*1000
times3.append(measurement)
t1 = time.clock()
core.wait(testtime/1000.0)
measurement = time.clock()
times4.append(measurement)
if i%60==0:
sys.stdout.write(".")
print
print "Low precision with time.sleep()"
print "Average is", scipy.mean(times1)
print "StdDev is", scipy.std(times1)
print
print "High precision with time.sleep()"
print "Average is", scipy.mean(times2)
print "StdDev is", scipy.std(times2)
print
print "Low precision with PsychoPy core.wait()"
print "Average is", scipy.mean(times3)
print "StdDev is", scipy.std(times3)
print
print "High precision with PsychoPy core.wait()"
print "Average is", scipy.mean(times4)
print "StdDev is", scipy.std(times4)
我得到的输出然而这:
Starting timing test with 40 ms as reference; running 200 times.
....
Low precision with time.sleep()
Average is 39.0950024128
StdDev is 7.77598671811
High precision with time.sleep()
Average is 16.2315164609
StdDev is 9.24644085289
Low precision with PsychoPy core.wait()
Average is 40.830000639
StdDev is 21.7002567107
High precision with PsychoPy core.wait()
Average is 16.3130358691
StdDev is 9.24395572035
通过time.clock返回的时间()的方式太低了!这发生在我们这里的几个系统中。
有没有人有一个想法这里发生了什么,什么可能会导致这种情况?
在python3.3 +中,你可以使用'time.perf_counter'来访问高分辨率的定时器。 – Bakuriu