Anaconda on Caviness

$ vpkg_versions anaconda
 
Available versions in package (* = default version):
 
[/opt/shared/valet/2.1/etc/anaconda.vpkg_yaml]
anaconda         Open Enterprise Python
* 5.2.0:python2  Anaconda Python2
  5.2.0:python3  Anaconda Python3

If you are going to follow the instructions for creating an Anaconda virtual environment on Caviness consider using a slight modification to the documentation provided by each software package and use VALET to load the proper version of Anaconda for Python 2 or Python3 and also specify a path in your home directory not in the system path for Anaconda.

See the example below which creates a virtual Anaconda environment based on Python3 for FEniCS called fenicsproject in the traine home directory and installs all the fenics packages and mshr.

[traine@login00 ~]$ vpkg_devrequire anaconda/5.2.0:python3
Adding package `anaconda/5.2.0:python3` to your environment
[traine@login00 ~]$ conda create -p ~/fenicsproject -c conda-forge fenics fenics-dijitso fenics-dolfin fenics-ffc fenics-fiat fenics-libdolfin fenics-ufl mshr
Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 4.5.11
  latest version: 4.8.1

Please update conda by running

    $ conda update -n base -c defaults conda




## Package Plan ##

  environment location: /home/1201/fenicsproject

  added / updated specs:
    - fenics
    - fenics-dijitso
    - fenics-dolfin
    - fenics-ffc
    - fenics-fiat
    - fenics-libdolfin
    - fenics-ufl
    - mshr


The following NEW packages will be INSTALLED:

...
...
...
Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
...
...
...
#
# To activate this environment, use:
# > source activate /home/1201/fenicsproject
#
# To deactivate an active environment, use:
# > source deactivate
#

[traine@login00 ~]$ source activate ~/fenicsproject
(/home/1201/fenicsproject) [traine@login00 ~]$ python -c "import mshr"
(/home/1201/fenicsproject) [traine@login00 ~]$ source deactivate
[traine@login00 ~]$

Using Anaconda's version of Python virtualenv to build PyQt5 by hand serves as a recipe for this specific installation, but can perhaps help others in solving similar installation dilemmas.