This Python code is a more or less structured framework for linear multigrid solvers. It contains the sources, the exercises and the slides for the lecture "Einführung in Mehrgitter-Methoden" at FH Aachen, spring semester 2016. More details can be found in the slides and the documentation.

.
|\
| bin                scripts implementing specific example runs
|\
| docs
|  \
|   source           RestDoc files picked up by Sphinx to generate documentation
|\
| project            implementations by the user (read: student) using pyMG
|\
| pymg               core functionality of pyMG
 \
  test
  |\
  | project_tests    tests for the user's implementations
  \
    pymg_tests       tests for the core functionality

We use nose for our tests. Simply follow the general guides on Python unittest and nosetest.

We use Sphinx with it's bundled autosummary and autodoc extensions as the documentation processor.

As soon as a new file, class or module is created either in pymg or project, it is required to rerun autodoc to pick up the new stuff. To do this run this handy script we wrote in the root of the project:

./docs/update_apidocs.sh

To just rebuild the documentation, change into the docs folder and run

make html

Read CONTRIBUTING.

In short: 2-clause BSD. See LICENSE.