Tartu School SasView Instructions

Installing for Windows or Mac

Download and install the latest release of SasView for your platform (Windows 32bit / Windows 64bit / Mac) from: ​https://github.com/SasView/sasview/releases/tag/v4.1.2

Running Sasview on Linux

There are currently no packaged releases of SasView for Linux. Thus some familiarity with linux command line tools is required. The following instructions concern Ubuntu 16.04 but should provide sufficient guidelines for any linux distribution. These instructions obviously reference the package manger on Debian based system (apt), so you should replace such commands with the correct ones for your distro.

Download source code for SasView and SasModels

• To obtain the source code you need to have git running. if you haven't already got it, it can be obtained from Ubuntu repository

  sudo apt-get install git
  

• The easy way to download the SasView and SasModels code is by simply cloning a git repository

  mkdir sasview-code
  cd sasview-code
  git clone https://github.com/SasView/sasview
  git clone https://github.com/SasView/sasmodels
  

• This will create a sasview-code folder in your current directory and then check out the latest version of the sasview and sasmodels code. However, we need to use a stable version and not the developer version. So we need to then do

  cd sasview
  git checkout v4.1.2
  cd ../sasmodels
  git checkout v0.96
  

• Each of SasView and SasModels should now be checked out at the current release version.

Install dependencies using apt-get

• Scientific python packages (numpy, scipy) together with matplotlib, pylint and wxgtk3.0 can be installed by running

  sudo apt-get install python-numpy python-scipy python-matplotlib pylint python-wxgtk3.0 python-pyopencl sphinx-common
  

Install pip

• The remaining dependencies can be installed using pip, which if it is not already installed, can be obtained by running the following:

  wget https://bootstrap.pypa.io/get-pip.py
  sudo python get-pip.py
  

Install dependencies using pip

• Once pip is obtained the remaining dependencies are installed by:

  sudo pip install unittest-xml-reporting
  sudo pip install bumps
  sudo pip install periodictable
  

Run SasView

• Then one can navigate to a SasView source directory (most likely "cd sasview") and simply run

  python run.py
  

• This should then build SasModels as needed and run SasView.

Building the Help Docs

The process for building the help docs has been steadily evolving. The latest instructions might be found here