numpy NaN, not surviving pickle/unpickle?
gagsl-py2 at yahoo.com.ar
Mon Sep 14 10:50:35 CEST 2009
En Sun, 13 Sep 2009 20:53:26 -0300, Steven D'Aprano
<steve at remove-this-cybersource.com.au> escribió:
> There may be something to be said for caching "common" floats, like pi,
> small integers (0.0, 1.0, 2.0, ...), 0.5, 0.25 and similar, but I doubt
> the memory savings would be worth the extra complexity.
I've read some time ago, that simply caching 0.0 reduced appreciably the
memory usage of a Zope application.
(Note that Zope relies on pickling and unpickling objects all the time, so
even if two objects started as the "same" zero, they may become different
at a later time.)
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