missing libjpeg.so.8 stops import of iris installed from conda forge

[Mike Mineter]

I made a new conda environment with only Iris and the defined dependencies:

conda create -n cesd_iris python=2.7 iris -c conda-forge

and get the following:

python

import iris

....

File "/exports/eddie3_apps_local/apps/community/geos/condas/cesd_clim_1/cesd_iris/lib/python2.7/site-packages/iris/fileformats/um/_fast_load_structured_fields.py", line 31, in <module>

    from netCDF4 import netcdftime

  File "/exports/eddie3_apps_local/apps/community/geos/condas/cesd_clim_1/cesd_iris/lib/python2.7/site-packages/netCDF4/__init__.py", line 3, in <module>

    from ._netCDF4 import *

ImportError: libjpeg.so.8: cannot open shared object file: No such file or directory

In the lib directory, libjpeg.so.9 exists.

Any recommended way to resolve this?

Detail:

I did see this warning on doing the conda create:

Fetching package metadata: ......

Solving package specifications: .....................................

Warning: 2 possible package resolutions (only showing differing packages):

        ['iris-1.12.0-py27_2.tar.bz2', 'netcdf4-1.2.4-np112py27_3.tar.bz2'],

        ['iris-1.11.0-py27_0.tar.bz2', 'netcdf4-1.2.7-np112py27_0.tar.bz2'],

conda list 

...

iris                      1.12.0                   py27_2

...

jasper                    1.900.1                       4

..

netcdf4                   1.2.4               np112py27_3

...

Thanks

Mike

[Filipe Pires Alvarenga Fernandes]

Hi Mike. It seems that you are hitting the "classic" multiple channels issue.

Please take a look at [1] and see if that solves it for you.

-Filipe

[1] http://conda-forge.github.io/docs/conda-forge_gotchas.html#using-multiple-channels

**********************************************************
Filipe P. A. Fernandes

Physical Oceanographer

Email: oce...@gmail.com          

http://ocefpaf.github.io/
**********************************************************

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[Mike Mineter]

Thanks Filipe, yes that fixed it.

A small extra  issue, on our shared cluster, I'll mention in case it helps someone, was that the home space then filled up due to all packages going into  ~/.conda/pkgs.

Once recognised, I removed that directory, and linked it to a space with more quota.

Mike

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[Filipe Pires Alvarenga Fernandes]

Are you using Anaconda or miniconda? I usually go for the latter rather than the former because most of the pre-installed packages from the Anaconda distribution will be substituted by conda-forge's version of them.

If you are already using miniconda then maybe cleaning up the old packages may help too.

$ conda clean --yes --tarballs --lock --index-cache --packages --source-cache

That is a clean all BTW you probably need to clean only the `--packages`.

-F

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