In article <5139f2d9.1050...@stsci.edu>,
 Michael Droettboom <md...@stsci.edu> 
 wrote:

> On 03/07/2013 06:48 PM, Russell E. Owen wrote:
> > In article <5138eaf1.7040...@stsci.edu>,
> >   Michael Droettboom <md...@stsci.edu>
> >   wrote:
> >
> >> We've finally squashed all of the bugs slated for 1.2.1, so I have
> >> tagged a 1.2.1rc1 for testing....
> >>
> >> It can be downloaded from the SF files server here:
> >>
> >> http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.2.
> >> 1rc
> >> 1/matplotlib-1.2.1rc1.tar.gz/download
> >>...
> > I uploaded two Mac binaries to SourceForge...
> >
> > They are both built against numpy 1.6.2, which is not ideal, but is the
> > best I can do at the moment.
> >
> I think that's fine for now -- for the rc it's most important to just 
> make sure that working packages *can* be built.  We can reevaluate what 
> Numpy version to use for the final release, and let me know if we should 
> push back the final release date to accomodate rejiggering your 
> development environment etc.

Do you have an opinion on the best numpy to use for matplotlib 1.2 
binaries?

Some considerations:

I think numpy 1.7.x is binary compatible with 1.6.x. If so, surely it is 
OK to build matplotlib against numpy 1.6.x, even if a user wants to use 
numpy 1.7.x? I have not tested this (nor the reverse direction).

numpy 1.7.0 has a serious memory leak (though I don't know how many 
users would ever see it). 1.7.1 is due out fairly soon. Personally I 
would rather skip 1.7.0 on my own machine. Yet it would be wise to let 
1.7.1 be used for a week or two before relying on it and I'd hate to 
hold up release of matplotlib 1.2.1.

-- Russell


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