I have installed Clawpack using Conda. It is better to create a separate environment for this purpose
conda create -n claw
You can see a list of environments using
conda env list
To activate the environment
conda activate claw
Once you are inside this environment, install clawpack using pip, see here for more details.
Now you can run Clawpack programs. Once you are done, you can deactivate the environment
If you want to delete an environment
conda remove -n claw —-all
See here for installation steps
git clone firstname.lastname@example.org:clawpack/clawpack.git cd clawpack git checkout v5.8.2 # or an older version; `git tag -l` to list options git submodule init # for repositories pyclaw, clawutil, visclaw, etc. git submodule update # clones all the submodule repositories export CLAW=/full/path/to/clawpack # in bash
Test a fortran example
The following command does all the steps: compile, run and make plots
Open _plots/_PlotIndex.html file to see the results.
This does not seem to give the classic fortran version.
conda create -n claw conda activate claw conda install clawpack conda install nose ipython
Test pyclaw: start ipython and
from clawpack.pyclaw import examples claw = examples.shock_bubble_interaction.setup() claw.run() claw.plot()
The original set of examples designed to run with clawpack-4.3 are here. To run these, download Clawpack-4.3 and set CLAW to the path where it is located. Visualizing the results requires matlab.
Some of these have been converted to run with newer version of clawpack, see here and here. You can get the code like this
cd $CLAW # or where ever you want apps to be git clone --recursive https://github.com/clawpack/apps
The book examples are in the directory apps/fvmbook.