Il 31/10/2016 01:32, Antonio Valentino ha scritto: > Hi Gilles, > > Il 30/10/2016 20:57, Gilles Filippini ha scritto: >> Antonio Valentino a écrit le 30/10/2016 à 18:16 : >>> Hi Gilles, >>> >>> Il 29/10/2016 17:17, Gilles Filippini ha scritto: >>>> On 2016-10-25 09:42, Jerome Kieffer wrote: >>>>> On Tue, 25 Oct 2016 08:13:43 +0100 >>>>> Ghislain Vaillant <ghisvail@gmail.com> wrote: >>>>> >>>>>> [CUT] >>>> Unfortunaly it is far from achieved and the dedicated 'pt4' branch of >>>> the pytables repo is stalled since late august. Thus the 'pytables overs >>>> h5py' option seems dead for Stretch release. >>> >>> Yes I can confirm that pt4 is not an option for Stretch. >>> The PyTable project is currently moving very slowly due to lack of time >>> of the maintainers (including me). >>> >>>> This left us with the 'embed hdf5 1.8.16 into the pytable package' option. >>>> >>>> Antonio, any thought about this? >>> >>> In theory pytables should be able to work with HDF5 1.10 using the old >>> 1.8 API. >>> Unfortunately it seems that there is some compatibility issue (see also >>> [1]) that none of the PyTables maintainers had the time to fix. >>> IMHO a patch for PyTables v3.3 to fix compatibility with HDF5 1.10 would >>> be a better option if someone has some time to dedicate to it. >> >> The HDF5 1.10 package in experimental was built with >> "--with-default-api-version=v18". But there is one major difference with >> 1.8.x releases: hid_t is now 64 bit integer instead of standard int. >> >> I gave a try patching pytables v3.3 in some obvious places, with no >> success at all. Any help on this side would be greatly appreciated. > > OK, I think I have fixed all main issues with HDF5 1.10. > I'm currently testing my patches and I will open a PR upstream ASAP (in > an hour I hope). the fix is available at https://github.com/PyTables/PyTables/pull/582 cheers -- Antonio Valentino
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