Path: csiph.com!feeder.erje.net!2.eu.feeder.erje.net!newsfeed0.kamp.net!newsfeed.kamp.net!fu-berlin.de!uni-berlin.de!not-for-mail From: Peter Otten <__peter__@web.de> Newsgroups: comp.lang.python Subject: Re: sobering observation, python vs. perl Date: Fri, 18 Mar 2016 10:26:34 +0100 Organization: None Lines: 189 Message-ID: References: Mime-Version: 1.0 Content-Type: text/plain; charset="ISO-8859-1" Content-Transfer-Encoding: 7Bit X-Trace: news.uni-berlin.de JN1XL4yoE+Bn16x7QuvlNQeFC77bsT6DMh1dhdooRCrA== Return-Path: X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org X-Spam-Status: OK 0.000 X-Spam-Evidence: '*H*': 1.00; '*S*': 0.00; 'else:': 0.03; 'args': 0.04; 'elif': 0.04; 'importerror:': 0.05; 'python3': 0.05; 'sys': 0.05; '"__main__":': 0.07; '__name__': 0.07; 'difference,': 0.07; 'expressions': 0.07; 'filename': 0.07; 'line:': 0.07; 'main()': 0.07; 'shutil': 0.07; 'width': 0.07; '"w")': 0.09; 'iterate': 0.09; 'received:80.91': 0.09; 'received:80.91.229': 0.09; 'received:gmane.org': 0.09; 'received:list': 0.09; 'res': 0.09; 'python': 0.10; 'python.': 0.11; 'index': 0.13; 'def': 0.13; 'subject:python': 0.14; 'skip:p 40': 0.15; 'thu,': 0.15; '2016': 0.16; 'argparse': 0.16; 'itertools': 0.16; 'jumped': 0.16; 'main():': 0.16; 'match:': 0.16; 'received:80.91.229.3': 0.16; 'received:dip0.t-ipconnect.de': 0.16; 'received:io': 0.16; 'received:plane.gmane.org': 0.16; 'received:psf.io': 0.16; 'received:t-ipconnect.de': 0.16; 'tempted': 0.16; 'true:': 0.16; 'wrote:': 0.16; 'string': 0.17; 'try:': 0.18; '>>>': 0.20; 'preferred': 0.20; 'saying': 0.22; '(by': 0.22; 'aspect': 0.22; 'parser': 0.22; 'pos': 0.22; 'pass': 0.22; "python's": 0.23; 'import': 0.24; 'tim': 0.24; 'words': 0.24; 'header:User-Agent:1': 0.26; 'header:X-Complaints-To:1': 0.26; 'external': 0.27; 'skip:# 10': 0.27; 'module.': 0.27; 'said,': 0.27; 'yield': 0.27; 'skip:( 20': 0.28; 'regular': 0.29; '-0500,': 0.29; 'cat': 0.29; 'chase': 0.29; 'perl': 0.29; 'random': 0.29; 'print': 0.30; 'skip:[ 10': 0.31; "i'd": 0.31; 'skip:s 30': 0.31; 'except': 0.34; 'skip:d 20': 0.34; 'text': 0.35; 'tasks': 0.35; 'something': 0.35; 'skip:p 30': 0.35; 'but': 0.36; 'to:addr:python-list': 0.36; 'subject:: ': 0.37; 'two': 0.37; 'received:org': 0.37; 'files': 0.38; 'skip:o 20': 0.38; 'test': 0.39; 'data': 0.39; 'well.': 0.40; 'to:addr:python.org': 0.40; 'received:de': 0.40; 'some': 0.40; 'real': 0.62; 'more': 0.63; 'great': 0.63; 'mar': 0.65; 'boost': 0.67; 'subject:. ': 0.67; 'smith': 0.76; 'type=int,': 0.84; 'numbers:': 0.91 X-Injected-Via-Gmane: http://gmane.org/ X-Gmane-NNTP-Posting-Host: p57bd973b.dip0.t-ipconnect.de User-Agent: KNode/4.13.3 X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.21 Precedence: list List-Id: General discussion list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Xref: csiph.com comp.lang.python:105190 Charles T. Smith wrote: > On Thu, 17 Mar 2016 10:52:30 -0500, Tim Chase wrote: > >>> Not saying this will make a great deal of difference, but these two >> items jumped out at me. I'd even be tempted to just use string >> manipulations for the isready aspect as well. Something like >> (untested) > > well, I don't want to forgo REs in order to have python's numbers be > better.... As has been said, for simple text processing tasks string methods are the preferred approach in Python. I think this is more for clarity than performance. If you need regular expressions a simple way to boost performance may be to use the external regex module. (By the way, if you are looking for a simple way to iterate over multiple files use for line in fileinput.input(): ... ) Some numbers: $ time perl find.pl data/sample*.txt > r1.txt real 0m0.504s user 0m0.466s sys 0m0.036s $ time python find.py data/sample*.txt > r2.txt real 0m2.403s user 0m2.339s sys 0m0.059s $ time python find_regex.py data/sample*.txt > r3.txt real 0m0.693s user 0m0.631s sys 0m0.060s $ time python find_no_re.py data/sample*.txt > r4.txt real 0m0.319s user 0m0.267s sys 0m0.048s Python 3 slows down things: $ time python3 find_no_re.py data/sample*.txt > r5.txt real 0m0.497s user 0m0.444s sys 0m0.051s The scripts: $ cat find.pl #!/usr/bin/env perl while (<>) { if (/(.*) is ready/) { $tn = $1; } elsif (/release_req/) { print "$tn\n"; } } $ cat find.py #!/usr/bin/env python import sys import re def main(): isready = re.compile ("(.*) is ready").match relreq = re.compile (".*release_req").match tn = "" for fn in sys.argv[1:]: with open(fn) as fd: for line in fd: match = isready(line) if match: tn = match.group(1) elif relreq(line): print(tn) main() $ cat find_regex.py #!/usr/bin/env python import sys import regex as re [rest the same as find.py] $ cat find_no_re.py #!/usr/bin/env python import sys def main(): tn = "" for fn in sys.argv[1:]: with open(fn) as fd: for line in fd: if " is ready" in line: tn = line.partition(" is ready")[0] elif "release_req" in line: print(tn) main() The test data was generated with $ cat make_test_data.py #!/usr/bin/env python3 import os import random import shutil from itertools import islice def make_line_factory(words, line_length, isready): choice = random.choice def make_line(): while True: line = [choice(words)] length = len(line[0]) while length < line_length: word = choice(words) line.append(word) length += len(word) + 1 if random.randrange(100) < isready: pos = random.randrange(len(line)) line[pos:pos+1] = ["is", "ready"] elif random.randrange(100) < isready: pos = random.randrange(len(line)) line[pos:pos] = ["release_req"] yield " ".join(line) return make_line def main(): import argparse parser = argparse.ArgumentParser() parser.add_argument("--words", default="/usr/share/dict/words") parser.add_argument("--line-length", type=int, default=80) parser.add_argument("--num-lines", type=eval, default=10**5) parser.add_argument("--num-files", type=int, default=4) parser.add_argument("--name-template", default="sample{:0{}}.txt") parser.add_argument("--data-folder", default="data") parser.add_argument("--remove-data-folder", action="store_true") parser.add_argument("--first-match-percent", type=int, default=10) try: import argcomplete except ImportError: pass else: argcomplete.autocomplete(parser) args = parser.parse_args() if args.remove_data_folder: shutil.rmtree(args.data_folder) os.mkdir(args.data_folder) with open(args.words) as f: words = [line.strip() for line in f] make_line = make_line_factory( words, args.line_length, args.first_match_percent)() width = len(str(args.num_files)) for index in range(1, args.num_files+1): filename = os.path.join( args.data_folder, args.name_template.format(index, width)) print(filename) with open(filename, "w") as f: for line in islice(make_line, args.num_lines): print(line, file=f) if __name__ == "__main__": main()