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--- software:anaconda:caviness [2021-01-27 10:21] – [Recipes] anita
+++ software:anaconda:caviness [2021-09-30 13:58] – [Recipes] anita
@@ Line 1: / Line 1: @@
-====== Anaconda on Caviness ======
-<code bash>
-$ 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
-.2.0:python3  Anaconda Python3
-</code>
-See [[software:anaconda:caviness#Recipes|Recipes]] for examples of building virtual environments for specific packages.
-===== Virtual Environment ====
-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 Python 3, specify a path in your home (''$HOME'') or workgroup (''$WORKDIR'') directory not in the system path for Anaconda, and also ignore the warnings to update ''conda'' as it is building your virtual environment.
-See the example below which creates a virtual Anaconda environment based on Python 3 for FEniCS called ''fenicsproject'' in the ''traine'' home directory and installs all the fenics packages and mshr. Once the environment is created, then a simple interactive test is done on a compute node via the ''devel'' partition to verify the new ''fenicsproject'' Anaconda environment is working properly.
-<code>
-[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 packages will be downloaded:
-...
-...
-...
-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 ~]$ workgroup -g it_css
-[(it_css:traine)@login00 ~]$ salloc --partition=devel
-salloc: Pending job allocation 5434421
-salloc: job 5434421 queued and waiting for resources
-salloc: job 5434421 has been allocated resources
-salloc: Granted job allocation 5434421
-salloc: Waiting for resource configuration
-salloc: Nodes r00n56 are ready for job
-[traine@r00n56 ~]$ vpkg_devrequire anaconda/5.2.0:python3
-Adding package `anaconda/5.2.0:python3` to your environment
-[traine@r00n56 ~]$ source activate ~/fenicsproject
-(/home/1201/fenicsproject) [traine@r00n56 ~]$ python3 -c "import mshr"
-(/home/1201/fenicsproject) [traine@r00n56 ~]$ source deactivate
-[traine@r00n56 ~]$ exit
-exit
-salloc: Relinquishing job allocation 5434421
-[(it_css:traine)@login00 ~]$
-</code>
-===== Recipes ====
-Examples documented as recipes to be used for specific installations including using a ''workgroup'' directory as well as creating VALET packages for these environments and job scripts setup for batch runs, but can also perhaps help others in solving similar installation dilemmas.
-  * [[technical:recipes:pyqt5-in-virtualenv|Building PyQt5 in a Python Virtual Environment]]
-  * [[technical:recipes:keras-in-virtualenv|Keras Python Virtual Environment]]
-  * Gurobi Python Virtual Environments
-    * [[software:gurobi:caviness#serial-or-threaded-python-environment|Gurobi Python Threaded and Serial]]
-    * [[software:gurobi:caviness#mpi-python-environment|Gurobi Python MPI]]
-  * [[technical:recipes:emcee-in-virtualenv|Python Virtualenv: emcee and pyKLIP]]
-  * [[technical:recipes:mpi4py-in-virtualenv|Python Virtual Environments with mpi4py]]
-  * [[technical:recipes:tensorflow-in-virtualenv|TensorFlow Python Virtual Environment]]