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Problems Loading Nio #9
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Hi @bbakernoaa, Could you please run "conda env list" and reply with the output? |
@khallock sorry I didn't get back to you. I ended up getting it working but unfortunately it broke again. This is the current error I'm getting after a fresh install:
conda install jpeg=8
python
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Just tried this. With a fresh install and adding the conda-forge channel first:
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Hi @bbakernoaa, In the Traceback output above it appears that you have Anaconda (which includes many conda packages in the root conda environment by default) and that PyNIO is installed in the root conda environment. I suspect there may be some compatibility issue between certain packages on conda-forge and other packages from Anaconda. Would it be possible to use a conda environment for PyNIO?
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I just tried it. Got the same error with the conda-forge and libgdal.so.20 👍
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That's odd, I wonder if there's something wrong with the gdal package. Could you please run Also, what Linux distribution are you using? |
out of ldd:
and linux distribution:
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This is starting to make sense... I'm not entirely sure why, but some of the conda-forge packages are incompatible with versions of RHEL/CentOS below 6. conda-forge's build environment uses CentOS 6.8, so it seems like some of the shared objects (libgdal.so.20 for example) created in that environment are not being recognized on your RHEL 5.11 machine. Would it be possible to update this machine to a newer version of Red Hat, and if not is there another machine you could try running PyNIO on? |
There is another machine I have access to where I can perform these. However, I'd still like to find a work around for this machine as there are some other users who use a tool I've built that relies on PyNIO. Is it possible to get the dbrown or NCAR channels to work? |
We've been trying a number of things to get conda and our software to work
in this older Linux environment, and it's proving to be rather problematic.
Kevin helped me install a CentOS 5.x VM on my Mac box. I will try to build
PyNIO and PyNGL on it outside of the conda environment. I'm also going to
use this opportunity to build a binary for NCL V6.4.0. You will hopefully
be able to use this special PyNGL/PyNIO build with your conda environment.
I have to caution that at some point we will be unable to support older
versions of Linux. This particular version is several years old and it
looks like they may be dropping support for it soon.
…On Mon, Mar 6, 2017 at 12:21 PM, Barry Baker ***@***.***> wrote:
There is another machine I have access to where I can perform these.
However, I'd still like to find a work around for this machine as there are
some other users who use a tool I've built that relies on PyNIO. Is it
possible to get the dbrown or NCAR channels to work?
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I'm going to try installing it on the NCEP machines and go from there. I'm currently building it on a small server in our lab. I'd still like to find a solution if possible. I have been able to get it working before. Its just a little touchy. I'm mainly worried about PyNIO as it integrates nicely with xarray. |
I was using a CentOS 5 VM on Mac for a test conda build of PyNIO when I was
maintaining the dbrown channel. I would copy the conda build to each other
Linux VM that I was testing to make sure it was a "universal" Linux build.
Anyway it is still around and could be updated if it might be useful at
this point.
…On Mon, Mar 6, 2017 at 4:17 PM, Barry Baker ***@***.***> wrote:
@marylhaley <https://github.com/marylhaley>
I'm going to try installing it on the NCEP machines and go from there. I'm
currently building it on a small server in our lab. I'd still like to find
a solution if possible. I have been able to get it working before. Its just
a little touchy.
I'm mainly worried about PyNIO as it integrates nicely with xarray.
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This would be useful for me. I use this on NCEP production machines as well and I am having trouble getting it running on there. |
Hi Barry,
I just uploaded a new Centos5-built version of PyNIO to the dbrown channel.
I tested downloading it along with xarray in a new conda environment on the
Centos 5 VM. I was able to import both packages. Hopefully it will work for
you as well:
conda create -n pynio-test -c dbrown pynio xarray
-dave
…On Tue, Mar 7, 2017 at 3:05 AM, Barry Baker ***@***.***> wrote:
@david-ian-brown <https://github.com/david-ian-brown>
This would be useful for me. I use this on NCEP production machines as
well and I am having trouble getting it running on there as well.
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Awesome! Thanks @david-ian-brown |
I tried to install pynio through anaconda. I'm having some issues.
After a fresh install
conda create -c conda-forge pynio
[barryb@aitken ~]$ python
Python 2.7.12 |Anaconda custom (64-bit)| (default, Jul 2 2016, 17:42:40)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org
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