is a collection of simple functions to run and evaluate computer models systematically.

This is free software - use at your own risk and convenience.

• You have some sort of computer model you want to do parameter studies with

• Computes parallel
• Works iteratively - pymofa checks wheter you have already computed some task and won't compute these again

• With pymofa you write one python file to set up one computer experiment
• This python file will contain a function (called the RUN_FUNC) that configures and exectues your model run
• The parameters of the RUN_FUNC will be the parameters of the experiment

This means:

• Raw data will be stored with these parameters
• You will need to give pymofa a list of parameter combination (i.e. a tuple of parameter values of the same length as the parameters)
• If you want to change the parameters, write a new experiment

Please have a look at the tutorials (either interactivly after downloading this repository or by starting here)

For further documentation, use the source!

using pytest with pylama (including pylama-pylint) and test coverage reports with the pytest plugin pytest-cov.

To be installed with:

$> pip install pytest pylama pylama-pylint pytest-cov

The config file is <pytest.ini>.

Write tests and make sure that they pass by:

$> py.test