Additional options for installing Clawpack¶
See also:
tar file¶
You can download the most recent (or certain previous versions) of Clawpack as a tar file. After untarring this, you can use pip install (and set CLAW if necessary) to point to this version.
Most recent: https://github.com/clawpack/clawpack/files/2330639/clawpack-v5.5.0.tar.gz
Previous versions of Clawpack (also lists DOIs for recent versions, useful for Citing this work)
After downloading a tar file you can do, e.g.
tar -xzf clawpack-v5.5.0.tar.gz
cd clawpack-v5.5.0
pip install --user -e . # note trailing dot indicating "this directory"
export CLAW=/full/path/to/clawpack-v5.5.0
git clone¶
You can clone the git repositories from https://github.com/clawpack. This is particularly useful if you want the latest development version or a branch that is not in a release yet, and/or if you plan to contribute to the code yourself via a pull request. See Developers’ Guide for more details, but the basic commands are:
git clone git://github.com/clawpack/clawpack.git
cd clawpack
git submodule init # for repositories pyclaw, clawutil, visclaw, etc.
git submodule update # clones all the submodule repositories
pip install --user -e . # note trailing dot indicating "this directory"
export CLAW=/full/path/to/clawpack
Using conda (does not require a Fortran compiler)¶
You can install PyClaw and VisClaw only (without AMRClaw, GeoClaw, or Classic) via the conda package manager. Conda binaries are available for Mac OS X and Ubuntu Linux (may work on other flavors of Linux), using Python 2.7 or 3.6.
From a terminal, simply do:
conda install -c clawpack -c conda-forge clawpack
You might want to consider first creating a separate conda environment if you want to separate Clawpack and its dependencies from other versions of Python code.
Docker¶
Instead of installing Clawpack and all its dependencies, another alternative is Docker for Clawpack. The Docker image already contains not only Clawpack but also all the Installation Prerequisites.
Launching an AWS instance with Clawpack installed¶
To appear.
Installing PyClaw for parallel processing with PETSc¶
First, install Clawpack. Then see the install instructions for Running in parallel.
Alternatively, you may use the following shell scripts (assembled by Damian San Roman) to install everything:
Linux machine or Beowulf Cluster: https://gist.github.com/sanromd/9112666
Mac OS X: https://gist.github.com/sanromd/10374134
Next steps:¶
Once Clawpack is installed, you can go to one of the following pages to get started: