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Location: light9/light8/profilereport.py - annotation
8e6c8e916567
745 B
text/x-python
upgrade ipython rdflib pyprof2calltree
Ignore-this: 9a3b49b4d126295e02ff0dfe49af030a
Ignore-this: 9a3b49b4d126295e02ff0dfe49af030a
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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