On 9/29/06, Greg Ewing <[EMAIL PROTECTED]> wrote: > Nick Craig-Wood wrote: > > > Is there any reason why float() shouldn't cache the value of 0.0 since > > it is by far and away the most common value? > > 1.0 might be another candidate for cacheing. > > Although the fact that nobody has complained about this > before suggests that it might not be a frequent enough > problem to be worth the effort.
My guess is that people do have this problem, they just don't know where that memory has gone. I know I don't count objects unless I have a process that's leaking memory or it grows so big that I notice (by swapping or chance). That said, I've never noticed this particular issue.. but I deal with mostly strings. I have had issues with the allocator a few times that I had to work around, but not this sort of issue. -bob _______________________________________________ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com