On 18/02/13 21:15, Amaury Forgeot d'Arc wrote:
2013/2/18 Alex Gaynor <alex.gay...@gmail.com <mailto:alex.gay...@gmail.com>>So, iter(file).next() is slow? Yes, but only with "rU" mode. My benchmark with yesterday's build: $ ~/pypy/pypy-c-jit-60005-0f1e91da6cb2-linux64/bin/pypy -m timeit "fp = open('/tmp/large-text-file'); list(fp)" 10 loops, best of 3: 43.5 msec per loop $ ~/pypy/pypy-c-jit-60005-0f1e91da6cb2-linux64/bin/pypy -m timeit "fp = open('/tmp/large-text-file', 'rU'); list(fp)" 10 loops, best of 3: 638 msec per loop 15 times slower...
Yes you are right. We rerun the query without the 'rU' and the result is: CPython: 328 msec PyPy: 443 msec PyPy (with 'rU'): 1 min 17 sec So the main culprit of PyPy's slowdown is 'rU' option in open. Thanks for looking into it. l. _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
