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Location: light9/light8/profilereport.py - annotation
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Ignore-this: 5c451744c5fa08c4560e45e6a90de4bd
Ignore-this: 5c451744c5fa08c4560e45e6a90de4bd
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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