Path: csiph.com!x330-a1.tempe.blueboxinc.net!usenet.pasdenom.info!weretis.net!feeder4.news.weretis.net!newsfeed.kpn.net!pfeed08.wxs.nl!newsfeed.xs4all.nl!newsfeed6.news.xs4all.nl!xs4all!post.news.xs4all.nl!not-for-mail Return-Path: X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org X-Spam-Status: OK 0.001 X-Spam-Evidence: '*H*': 1.00; '*S*': 0.00; '(at': 0.03; 'sys': 0.05; 'infinite': 0.07; 'worse': 0.07; 'python': 0.08; '__name__': 0.09; 'integers': 0.09; 'nameerror:': 0.09; 'received:80.91': 0.09; 'received:80.91.229': 0.09; 'received:80.91.229.12': 0.09; 'received:gmane.org': 0.09; 'received:list': 0.09; 'received:lo.gmane.org': 0.09; 'substitute': 0.09; 'throw': 0.09; 'exception': 0.12; 'wrote:': 0.15; '"__main__":': 0.16; 'billy': 0.16; 'coded': 0.16; 'explanation': 0.16; 'iterator.': 0.16; 'lambda': 0.16; 'magnitude.': 0.16; 'received:dip.t-dialin.net': 0.16; 'received:t-dialin.net': 0.16; 'subject:() ': 0.16; 'subject:issues': 0.16; 'versus': 0.16; 'xrange': 0.16; 'def': 0.16; 'written': 0.17; 'extension': 0.22; 'loop': 0.22; 'maybe': 0.22; 'discussion': 0.22; 'stuff': 0.22; 'produces': 0.23; 'runs': 0.23; 'code': 0.24; 'helpful': 0.26; "i'm": 0.27; 'pass': 0.28; 'wondering': 0.30; 'differences': 0.30; 'from:addr:web.de': 0.30; 'that...': 0.30; 'least': 0.31; 'equivalent': 0.31; 'focus': 0.32; 'does': 0.32; "what's": 0.33; 'to:addr:python-list': 0.34; 'header:X-Complaints-To:1': 0.34; 'there': 0.34; 'difference': 0.34; '...': 0.34; 'but,': 0.34; 'causing': 0.34; 'test': 0.34; 'things': 0.34; 'integer': 0.35; 'try:': 0.35; 'skip:" 10': 0.36; 'primary': 0.36; 'some': 0.37; 'doing': 0.37; 'but': 0.37; 'using': 0.37; 'received:org': 0.38; 'user': 0.38; 'subject:: ': 0.38; 'question,': 0.38; 'somewhat': 0.38; 'something': 0.38; 'two': 0.38; 'put': 0.38; 'run': 0.39; 'case': 0.39; 'header:Mime- Version:1': 0.39; 'except': 0.39; 'ways': 0.39; 'either': 0.39; 'list,': 0.39; 'under': 0.39; 'to:addr:python.org': 0.39; 'might': 0.39; 'below': 0.62; 'perfect': 0.63; 'below,': 0.65; 'here': 0.66; '"for': 0.67; 'placed': 0.72; 'future,': 0.76; 'blame.': 0.84; 'crunch': 0.84; 'harrismh777': 0.84; 'moment.': 0.84; 'python2': 0.84; 'python2.7': 0.84; 'sum': 0.89; 'interest,': 0.91; 'numbers:': 0.91 X-Injected-Via-Gmane: http://gmane.org/ To: python-list@python.org From: Peter Otten <__peter__@web.de> Subject: Re: range() vs xrange() Python2|3 issues for performance Date: Tue, 02 Aug 2011 11:05:43 +0200 Organization: None References: Mime-Version: 1.0 Content-Type: text/plain; charset="ISO-8859-1" Content-Transfer-Encoding: 7Bit X-Gmane-NNTP-Posting-Host: p5084aa9c.dip.t-dialin.net X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.12 Precedence: list List-Id: General discussion list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Newsgroups: comp.lang.python Message-ID: Lines: 120 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1312275941 news.xs4all.nl 23849 [2001:888:2000:d::a6]:54793 X-Complaints-To: abuse@xs4all.nl Xref: x330-a1.tempe.blueboxinc.net comp.lang.python:10703 harrismh777 wrote: > The following is intended as a helpful small extension to the xrange() > range() discussion brought up this past weekend by Billy Mays... > > With Python2 you basically have two ways to get a range of numbers: > range() , which returns a list, and > xrange() , which returns an iterator. > > With Python3 you must use range(), which produces an iterator; while > xrange() does not exist at all (at least not on 3.2). > > I have been doing some research in number theory related to Mersenne > Primes and perfect numbers (perfects, those integers whose primary > divisors when summed result in the number, not including the number > itself)... the first few of those being 6, 28, 496, 8128, 33550336, etc > > Never mind, but you know... are there an infinite number of them? > ... and of course, are there any "odd" perfect numbers... well not under > 10^1500.... I digress, sorry ... > > This brought up the whole range() xrange() thing for me again > because Python in any case is just not fast enough (no brag, just fact). > So my perfect number stuff is written in C, for the moment. But, what > about the differences in performance (supposing we were to stay in > Python for small numbers) between xrange() vs range() [on Python2] > versus range() [on Python3]? I have put my code snips below, with some > explanation below that... these will run on either Python2 or > Python3... except that if you substitute xrange() for range() for > Python2 they will throw an exception on Python3... doh. try: range = xrange except NameError: pass > > So, here is PyPerfectNumbers.py ---------------------------- > > def PNums(q): > for i in range(2, q): > m = 1 > s = 0 > while m <= i/2: i/2 returns a float in Python 3; you should use i//2 for consistency. > if not i%m: > s += m > m += 1 > if i == s: > print(i) > return 0 > > def perf(n): > sum = 0 > for i in range(1, n): > if n % i == 0: > sum += i > return sum == n > > fperf = lambda n: n == sum(i for i in range(1, n) if n % i == 0) > > -----------------/end--------------------------------------- > > PNums(8200) will crunch out the perfect numbers below 8200. > > perf(33550336) will test to see if 33550336 is a perfect number > > fperf(33550336) is the lambda equivalent of perf() > > > These are coded with range(). The interesting thing to note is that > xrange() on Python2 runs "considerably" faster than the same code using > range() on Python3. For large perfect numbers (above 8128) the > performance difference for perf() is orders of magnitude. Python 3's range() is indeed slower, but not orders of magnitude: $ python3.2 -m timeit -s"r = range(33550336)" "for i in r: pass" 10 loops, best of 3: 1.88 sec per loop $ python2.7 -m timeit -s"r = xrange(33550336)" "for i in r: pass" 10 loops, best of 3: 1.62 sec per loop $ cat tmp.py try: range = xrange except NameError: pass def fperf(n): return n == sum(i for i in range(1, n) if not n % i) if __name__ == "__main__": print(fperf(33550336)) $ time python2.7 tmp.py True real 0m6.481s user 0m6.100s sys 0m0.000s $ time python3.2 tmp.py True real 0m7.925s user 0m7.520s sys 0m0.040s I don't know what's causing the slowdown, maybe the int/long unification is to blame. > Actually, > range() on Python2 runs somewhat slower than xrange() on Python2, but > things are much worse on Python3. > This is something I never thought to test before Billy's question, > because I had already decided to work in C for most of my integer > stuff... like perfects. But now that it sparked my interest, I'm > wondering if there might be some focus placed on range() performance in > Python3 for the future, PEP?