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#!/usr/bin/env python
#
# Copyright 2007,2008 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
#
# GNU Radio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
#
"""
input file looks like this:
nspes: 1 udelay: 10 elapsed_time: 6.842 njobs: 500000 speedup: 0.731
nspes: 2 udelay: 10 elapsed_time: 4.093 njobs: 500000 speedup: 1.221
"""
import sys
from optparse import OptionParser
from pprint import pprint
class data(object):
def __init__(self, nspes, work_per_job, elapsed_time, njobs):
self.nspes = nspes
self.work_per_job = work_per_job # seconds
self.elapsed_time = elapsed_time # seconds
self.njobs = njobs
self.speedup = work_per_job * njobs / elapsed_time
def __repr__(self):
return "<data nspes=%d work_per_job=%s elapsed_time=%s njobs=%s speedup=%s>" % (
self.nspes, (self.work_per_job),
(self.elapsed_time),
(self.njobs),
(self.speedup))
def cmp_data(x, y):
t = x.nspes - y.nspes
if t == 0:
t = x.work_per_job - y.work_per_job
if t < 0:
return -1
elif t > 0:
return +1
else:
return 0
return t
def main():
usage = "usage: %prog [options] input_filename"
parser = OptionParser(usage=usage)
(options, args) = parser.parse_args()
if len(args) != 1:
parser.print_help()
raise SystemExit, 1
input_filename = args[0]
m = {}
for line in open(input_filename, "r"):
s = line.split()
nspes = int(s[1])
work_per_job = int(s[3]) * 1e-6
elapsed_time = float(s[5])
njobs = float(s[7])
d = data(nspes, work_per_job, elapsed_time, njobs)
# collect lists that have the same values for nspes and work_per_job
# so we can generate an average elapsed_time from all observations
key = (nspes, work_per_job)
v = m.get(key, [])
v.append(d)
m[key] = v
r = []
for k, v in m.iteritems():
total_elapsed_time = sum([x.elapsed_time for x in v])
r.append(data(v[0].nspes,
v[0].work_per_job,
total_elapsed_time/len(v),
v[0].njobs))
r.sort(cmp_data)
#pprint(r)
for t in r:
print t.nspes, t.work_per_job, t.elapsed_time, t.njobs, t.speedup
if __name__ == '__main__':
main()
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