On Tue, Aug 23, 2011 at 12:26 PM, Peter Otten <__pete...@web.de> wrote:
> Jack wrote: > > > People have illusion that it is faster to visit the attribute defined > > by __slots__ . > > http://groups.google.com/group/comp.lang.python/msg/c4e413c3d86d80be > > > > That is wrong. The following tests show it is slower. > > Not so fast. Here's what I get (python2.6.4, 64 bit): > > $ python -mtimeit -s "class A(object): __slots__ = ('a', 'b', 'c')" -s > "inst = A()" "inst.a=5; inst.b=6; inst.c=7" > 1000000 loops, best of 3: 0.324 usec per loop > > $ python -mtimeit -s "class A(object): pass" -s "inst = A()" "inst.a=5; > inst.b=6; inst.c=7" > 1000000 loops, best of 3: 0.393 usec per loop > > Now what? > > -- > http://mail.python.org/mailman/listinfo/python-list > This is what I get on a 64 bit Linux 2.6.39 script: for v in 2.6 2.7 3.2; do python$v --version echo -n "(slots) = "; python$v -mtimeit -s "class A(object): __slots__ = ('a', 'b', 'c')" -s "inst = A()" "inst.a=5; inst.b=6; inst.c=7"; echo -n "(regular) = "; python$v -mtimeit -s "class A(object): pass" -s "inst = A()" "inst.a=5; inst.b=6; inst.c=7"; done output: Python 2.6.5 (slots) = 1000000 loops, best of 3: 0.219 usec per loop (regular) = 1000000 loops, best of 3: 0.231 usec per loop Python 2.7.2 (slots) = 1000000 loops, best of 3: 0.244 usec per loop (regular) = 1000000 loops, best of 3: 0.285 usec per loop Python 3.2 (slots) = 1000000 loops, best of 3: 0.193 usec per loop (regular) = 1000000 loops, best of 3: 0.224 usec per loop -- John-John Tedro
-- http://mail.python.org/mailman/listinfo/python-list
