On Tue, Feb 19, 2013 at 2:09 PM, Eleytherios Stamatogiannakis <[email protected]> wrote: > On 18/02/13 21:15, Amaury Forgeot d'Arc wrote: >> >> 2013/2/18 Alex Gaynor <[email protected] >> <mailto:[email protected]>> >> >> >> 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 > [email protected] > http://mail.python.org/mailman/listinfo/pypy-dev
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