Welcome to the raven wiki!

Installation Notes:

Obtaining:

git clone https://github.com/idaholab/raven.git
cd raven
git checkout devel

Note: Be sure to have an SSHKey registered in your GITHUB profile (profile/settings/SSH and GPC keys)

Needed dependencies

There are several ways to get the dependencies:

The supported ways are reported in the RAVEN installation page.

If other methods are used, a list of dependencies need to be retrieved running the following command in the raven folder (after installing Python):

python scripts/TestHarness/testers/RavenUtils.py --manual-list

This command will list the dependencies' versions in a LaTex compatible list. For example:

\begin{itemize}
  \item python-3
  \item h5py-2.9.0
  \item numpy-1.16.4
  \item scipy-1.2.1
  \item scikit-learn-0.21.2
  \item pandas-0.24.2
  \item xarray-0.12.1
  \item netcdf4-1.4.2
  \item matplotlib-3.1.0
  \item statsmodels-0.9.0
  \item tensorflow-1.13.1
  \item cloudpickle
  \item hdf5-1.10.4
  \item swig
  \item pylint
  \item coverage
  \item lxml
  \item psutil
  \item pyside2
  \item pillow
\end{itemize}

Ubuntu (16.04 and newer, otherwise conda or pip should be used):

sudo apt-get install libtool git python-dev swig g++ \
  python3-dev python-numpy python-sklearn python-h5py

Fedora:

dnf install swig libtool gcc-c++ redhat-rpm-config python-devel \
  python3-devel numpy h5py scipy python-scikit-learn \
  python-matplotlib-qt4

For macOS, first, obtain the Xcode Command Line Tools by running

xcode-select --install

then, get XQuartz 2.7.9 https://dl.bintray.com/xquartz/downloads/XQuartz-2.7.9.dmg

then, get Miniconda, and install the rest of the dependencies from Miniconda.

Compiling and Testing

make -j2
./run_tests -j2