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#!/usr/bin/python
# Copyright 2011 Lars Wirzenius
#
# This program 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 of the License, or
# (at your option) any later version.
#
# This program 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, see <http://www.gnu.org/licenses/>.
# Excercise my B-tree implementation, for simple benchmarking purposes.
# The benchmark gets a location and an operation count as command line
# arguments.
#
# If the location is the empty string, an in-memory node store is used.
# Otherwise it must be a non-existent directory name.
#
# The benchmark will do the given number of insertions into the tree, and
# measure the speed of that. Then it will look up each of those, and measure
# the lookups.
import cliapp
import cProfile
import csv
import gc
import logging
import os
import random
import shutil
import subprocess
import sys
import time
import tracing
import larch
class RefcountSpeedTest(cliapp.Application):
def add_settings(self):
self.settings.boolean(['profile'],
'profile with cProfile?')
self.settings.boolean(['log-memory-use'], 'log VmRSS?')
self.settings.string(['trace'],
'code module in which to do trace logging')
self.settings.integer(['refs'],
'how many refs to test with (default is %default)',
default=2**15)
self.settings.integer(['times'],
'how many times to test each op (default is %default)',
default=1000)
def process_args(self, args):
if self.settings['trace']:
tracing.trace_add_pattern(self.settings['trace'])
n = self.settings['refs']
refcounts = {}
for i in xrange(n):
refcounts[i] = i
# Helper functions.
nop = lambda *args: None
# Calibrate.
looptime = self.measure(nop, 'calibrate')
num_refcounts = len(refcounts)
keys = refcounts.keys()
encode = self.measure(
lambda: larch.refcountstore.encode_refcounts(
refcounts, 0, num_refcounts, keys),
'encode')
encoded = larch.refcountstore.encode_refcounts(
refcounts, 0, num_refcounts, keys)
decode = self.measure(lambda:
larch.refcountstore.decode_refcounts(encoded),
'decode')
# Report
def speed(result):
return n / (result - looptime)
def report(label, result):
print '%-12s: %5.3f s (%8.1f/s)' % \
(label, result, speed(result))
print 'refs: %d' % self.settings['refs']
print 'times: %d' % self.settings['times']
report('encode', encode)
report('decode', decode)
def measure(self, func, profname):
def log_memory_use(stage):
if self.settings['log-memory-use']:
logging.info('%s memory use: %s' % (profname, stage))
logging.info(' VmRSS: %s KiB' % self.vmrss())
logging.info(' # objects: %d' % len(gc.get_objects()))
logging.info(' # garbage: %d' % len(gc.garbage))
def helper():
n = self.settings['times']
log_memory_use('at start')
finished = False
while not finished:
for i in xrange(n):
func()
if time.clock() > start:
# at least one time unit passed - this is enough
finished = True
else:
# Not a single time unit passed: we need more iterations.
# Multiply 'times' by 10 and execute the remaining 9 loops.
self.settings['times'] *= 10
n *= 9
log_memory_use('after calls')
print 'measuring', profname
start = time.clock()
if self.settings['profile']:
globaldict = globals().copy()
localdict = locals().copy()
cProfile.runctx('helper()', globaldict, localdict,
'%s.prof' % profname)
else:
helper()
end = time.clock()
return end - start
def vmrss(self):
f = open('/proc/self/status')
rss = 0
for line in f:
if line.startswith('VmRSS'):
rss = line.split()[1]
f.close()
return rss
def format(self, value):
return '%.0f' % value
if __name__ == '__main__':
RefcountSpeedTest().run()
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