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Location: light9/light8/profilereport.py - annotation
05db77383cc1
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text/x-python
remember gst pulseaudio package for playback
Ignore-this: 24d59d4fa5f34e94dd3af4af2d660c30
Ignore-this: 24d59d4fa5f34e94dd3af4af2d660c30
45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 45b12307c695 | """
tweak rsn.py to run the profile module, and write the output to files
in profile/ with names that describe how you exercised the
program. then run this program to make files in profile/html/ for
easier viewing.
"""
import pstats,glob,os,time,sys
allfiles = glob.glob("profile/*")
allfiles.remove('profile/html')
allfiles.sort()
header = "profile output from %s<p>" % (time.ctime())
for f in allfiles:
f=f[8:]
header = header+"<a href=%(f)s.html>%(f)s</a> | " % locals()
for profileoutput in allfiles:
s=pstats.Stats(profileoutput)
f=open("profile/html/%s.html" % profileoutput[8:],'w')
sys.stdout=f
print header,"<pre>"
s.sort_stats('cumulative').print_stats(15).print_callers(15)
print "</pre>"
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