Hello all,
HDF5 1.10.0 is
released as of 2016.03.30 which is required to get at SWMR functionality in h5py 2.5.0 (and h5py 2.6.0).
If you want to custom install h5py against the new library I think all is peachy with from source or with pip. However I was wondering how to do this with a conda install.
> conda install h5py
Will give me version 2.6.0 of h5py but only HDF5 1.8.16. It seems so other people have had some success making a conda recipe to build against the parallel version of hdf5. I am not familiar with making recipes but I can give that a stab if that is the way to go.
What is the best way to go about using h5py with anaconda but built against the hdf5 so be able to use SWMR mode? I installed hdf5 1.10.0 from source and tried to use Anaconda's pip to install h5py, but it doesn't load all the libraries, specifically:
ImportError: dlopen(//anaconda/lib/python2.7/site-packages/h5py/_errors.so, 2): Library not loaded: libhdf5.10.dylib
Referenced from: //anaconda/lib/python2.7/site-packages/h5py/_errors.so
Reason: image not found
Any help greatly appreciated,
jt