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Location: light9/light8/profilereport.py - annotation
db49df52efc3
745 B
text/x-python
old graph api in makeEffect
Ignore-this: 4114254744ace06e5eaf3b0e96b07312
Ignore-this: 4114254744ace06e5eaf3b0e96b07312
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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