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--- software:anaconda:darwin [2021-02-22 16:31] – created anita
+++ software:anaconda:darwin [2021-09-30 14:02] (current) – [Anaconda on DARWIN] anita
@@ Line 7: / Line 7: @@
 [/opt/shared/valet/2.1/etc/anaconda.vpkg_yaml]
-anaconda         Open Enterprise Python
+anaconda           Open Enterprise Python
-* 5.3.1:python2  Anaconda Python2
+* 5.3.1:python2    Anaconda Python2
-.3.1:python3  Anaconda Python3
+.3.1:python3    Anaconda Python3
-.11        Anaconda Python3 (Python 2 deprecated)
+.11:python3  Anaconda Python3 (Python 2 deprecated)
+</code>
+See [[software:anaconda:darwin#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 DARWIN 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>
-See [[software:anaconda:caviness#Recipes|Recipes]] for examples of building virtual environments for specific packages.
+===== 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:jupyter-notebook|Jupyter Notebook 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]]