This guide is intended for people which have a basic understanding of probabilistic models and their verification. More details and further pointers to literature can be found on the
This guide is intended for people which have a basic understanding of probabilistic models and their verification. More details and further pointers to literature can be found on the
While we assume some very basic programming concepts, we refrain from using more advanced concepts of python throughout the guide.
While we assume some very basic programming concepts, we refrain from using more advanced concepts of python throughout the guide.
We start with a selection of high-level constructs in stormpy, and go into more details afterwards.
We start with a selection of high-level constructs in stormpy, and go into more details afterwards.
..seealso:: The code examples are also given in the examples/ folder. These boxes throughout the text will tell you which example contains the code discussed.
..seealso:: The code examples are also given in the examples/ folder. These boxes throughout the text will tell you which example contains the code discussed.
are both available on your system. To avoid issues, we suggest that both use the same version of `carl <https://smtrat.github.io/carl>`_.
The simplest way of ensuring this is to first install carl as explained in the `storm installation guide <https://moves-rwth.github.io/storm/documentation/installation/configuration-guide.html#carl>`_.
are both available on your system. To avoid issues, we suggest that both use the same version of `carl <https://smtrat.github.io/carl>`_.
The simplest way of ensuring this is to first install carl as explained in the `storm installation guide <http://www.stormchecker.org/documentation/installation/manual-configuration.html#carl>`_.
You can then install storm and pycarl independently.
You can then install storm and pycarl independently.
Matthias Volk
8 years ago