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Location: light9/light8/profilereport.py - annotation
ea8ca6502255
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text/x-python
refactor to prepare for submasters to work out of the main graph
Ignore-this: a5d4b63cf6b7daf52cce9bbfc3e0c5b3
Ignore-this: a5d4b63cf6b7daf52cce9bbfc3e0c5b3
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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