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Re: recommended numpy dependency ranges?



On Mon, 31 Mar 2014, Diane Trout wrote:

> Hi,

> I have a small package the depends on numpy and it recently stopped working.

> > Traceback (most recent call last):
> >   File "/usr/local/lib/R/site-
> library/DEXSeq/python_scripts/dexseq_prepare_annotation.py",
> > line 33, in <module>
> >     import HTSeq
> >   File "/usr/lib/python2.7/dist-packages/HTSeq/__init__.py", line 9,
> > in <module>
> >     from _HTSeq import *
> >   File "numpy.pxd", line 155, in init HTSeq._HTSeq (src/_HTSeq.c:33074)
> > ValueError: numpy.dtype has the wrong size, try recompiling


> I'm pretty sure a recompile will fix it, the question I have is how often does 
> numpy break binary compatibility?

> Should set your numpy dependencies to something like:

> python-numpy (>= 1.8, < 1.9)

do not "hard code" -- add calls to dh_numpy (dh_numpy3) to your
rules and make sure you have ${python:Depends} in your Depends

-- 
Yaroslav O. Halchenko, Ph.D.
http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org
Senior Research Associate,     Psychological and Brain Sciences Dept.
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
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