My milage does vary, see this older post <http://mail.python.org/pipermail/python-list/2004-May/261985.html>
Similar figures are shown with Python 2.5, both for 32- and 64-bit. /Jean Brouwers On Dec 21, 12:07 pm, Fredrik Lundh <[EMAIL PROTECTED]> wrote: > John Nagle wrote: > > I'd like to hear more about what kind of performance gain can be > > obtained from "__slots__". I'm looking into ways of speeding up > > HTML parsing via BeautifulSoup. If a significant speedup can be > > obtained when navigating large trees of small objects, that's worth > > quite a bit to me. > > The following micro-benchmarks are from Python 2.5 on a Core Duo > machine. C0 is an old-style class, C1 is a new-style class, C2 is a > new-style class using __slots__: > > # read access > $ timeit -s "import q; o = q.C0(); o.attrib = 1" "o.attrib" > 10000000 loops, best of 3: 0.133 usec per loop > $ timeit -s "import q; o = q.C1(); o.attrib = 1" "o.attrib" > 10000000 loops, best of 3: 0.184 usec per loop > $ timeit -s "import q; o = q.C2(); o.attrib = 1" "o.attrib" > 10000000 loops, best of 3: 0.161 usec per loop > > # write access > $ timeit -s "import q; o = q.C0(); o.attrib = 1" "o.attrib = 1" > 10000000 loops, best of 3: 0.15 usec per loop > $ timeit -s "import q; o = q.C1(); o.attrib = 1" "o.attrib = 1" > 1000000 loops, best of 3: 0.217 usec per loop > $ timeit -s "import q; o = q.C2(); o.attrib = 1" "o.attrib = 1" > 1000000 loops, best of 3: 0.209 usec per loop > > $ more q.py > class C0: > pass > > class C1(object): > pass > > class C2(object): > __slots__ = ["attrib"] > > Your mileage may vary. > > > I'm looking into ways of speeding up HTML parsing via BeautifulSoup. > > The solution to that is spelled "lxml". > > </F> -- http://mail.python.org/mailman/listinfo/python-list