numpy NaN, not surviving pickle/unpickle?

Mon Sep 14 04:50:35 EDT 2009

En 2009年9月13日 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.)
-- 
Gabriel Genellina