[ZPT] CVS: Zope3/lib/python/Zope/TAL/tests - markbench.py:1.1.2.1
Fred L. Drake, Jr.
fdrake@acm.org
Fri, 7 Jun 2002 17:23:21 -0400
Update of /cvs-repository/Zope3/lib/python/Zope/TAL/tests
In directory cvs.zope.org:/tmp/cvs-serv21589/tests
Added Files:
Tag: fdrake-tal-i18n-branch
markbench.py
Log Message:
Make the markbench.py script at least run, and move it to the tests/
directory.
Note: This does not actually compare the TAL/ZPT times to DTML times, since
there is no DTML in Zope 3.
=== Added File Zope3/lib/python/Zope/TAL/tests/markbench.py ===
#! /usr/bin/env python
##############################################################################
#
# Copyright (c) 2001, 2002 Zope Corporation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.0 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS
# FOR A PARTICULAR PURPOSE.
#
##############################################################################
'''Run benchmarks of TAL vs. DTML'''
try:
import warnings
except ImportError:
pass
else:
warnings.filterwarnings("ignore", category=DeprecationWarning)
import os
os.environ['NO_SECURITY'] = 'true'
import sys
import time
from cStringIO import StringIO
#from DocumentTemplate.DT_HTML import HTMLFile
from Zope.TAL.HTMLTALParser import HTMLTALParser
from Zope.TAL.TALInterpreter import TALInterpreter
from Zope.TAL.DummyEngine import DummyEngine
def time_apply(f, args, kwargs, count):
r = [None] * count
for i in range(4):
f(*args, **kwargs)
t0 = time.clock()
for i in r:
pass
t1 = time.clock()
for i in r:
f(*args, **kwargs)
t = time.clock() - t1 - (t1 - t0)
return t / count
def time_zpt(fn, count):
from Zope.PageTemplate.PageTemplate import PageTemplate
pt = PageTemplate()
pt.write(open(fn).read())
return time_apply(pt.pt_render, (data,), {}, count)
def time_tal(fn, count):
p = HTMLTALParser()
p.parseFile(fn)
program, macros = p.getCode()
engine = DummyEngine(macros)
engine.globals = data
tal = TALInterpreter(program, macros, engine, StringIO(), wrap=0,
tal=1, strictinsert=0)
return time_apply(tal, (), {}, count)
def time_dtml(fn, count):
html = HTMLFile(fn)
return time_apply(html, (), data, count)
def profile_zpt(fn, count, profiler):
from Products.PageTemplates.PageTemplate import PageTemplate
pt = PageTemplate()
pt.write(open(fn).read())
for i in range(4):
pt.pt_render(extra_context=data)
r = [None] * count
for i in r:
profiler.runcall(pt.pt_render, 0, data)
def profile_tal(fn, count, profiler):
p = HTMLTALParser()
p.parseFile(fn)
program, macros = p.getCode()
engine = DummyEngine(macros)
engine.globals = data
tal = TALInterpreter(program, macros, engine, StringIO(), wrap=0,
tal=1, strictinsert=0)
for i in range(4):
tal()
r = [None] * count
for i in r:
profiler.runcall(tal)
tal_fn = 'benchmark/tal%.2d.html'
dtml_fn = 'benchmark/dtml%.2d.html'
def compare(n, count, profiler=None):
t1 = int(time_zpt(tal_fn % n, count) * 1000 + 0.5)
t2 = int(time_tal(tal_fn % n, count) * 1000 + 0.5)
t3 = 'n/a' # int(time_dtml(dtml_fn % n, count) * 1000 + 0.5)
print '%.2d: %10s %10s %10s' % (n, t1, t2, t3)
if profiler:
profile_tal(tal_fn % n, count, profiler)
def main(count, profiler=None):
n = 1
print '##: %10s %10s %10s' % ('ZPT', 'TAL', 'DTML')
while os.path.isfile(tal_fn % n) and os.path.isfile(dtml_fn % n):
compare(n, count, profiler)
n = n + 1
data = {'x':'X', 'r2': range(2), 'r8': range(8), 'r64': range(64)}
for i in range(10):
data['x%s' % i] = 'X%s' % i
if __name__ == "__main__":
filename = "markbench.prof"
profiler = None
if len(sys.argv) > 1 and sys.argv[1] == "-p":
import profile
profiler = profile.Profile()
del sys.argv[1]
if len(sys.argv) > 1:
for arg in sys.argv[1:]:
compare(int(arg), 25, profiler)
else:
main(25, profiler)
if profiler is not None:
profiler.dump_stats(filename)
import pstats
p = pstats.Stats(filename)
p.strip_dirs()
p.sort_stats('time', 'calls')
try:
p.print_stats(20)
except IOError, e:
if e.errno != errno.EPIPE:
raise