Intended for beta test in the autumn term of 2020.

It has been stabilized a lot from V0.2 but may still crash; be careful and save often.

In addition, it now gives much nicer TikZ output. See below ...

And please report all issues you find to hanspeter.schmid@fhnw.ch or create an issue on github, https://github.com/hanspi42/signalflowgrapher/issues

This package is distributed under the Artistic License 2.0, which you find in the file LICENSE and on the internet on https://opensource.org/licenses/Artistic-2.0.

The first version checed in was the result of a bachelor thesis at the University of Applied Sciences and Arts Northwestern Switzerland, https://www.fhnw.ch/en/. Students: Simon Näf and Nicolai Wassermann. Advisors: Dominik Gruntz and Hanspeter Schmid. Contact author: hanspeter.schmid@fhnw.ch

• Get the latest version of Python from https://www.python.org/ or of Anaconda from https://www.anaconda.com/products/individual

• Clone or download from https://github.com/hanspi42/signalflowgrapher

For the managment of the dependencies, a virtual enviromnent is used.

• Open the src directory in a terminal
• Create virtual environment using the command python -m venv signalflowgrapher
• On Windows run signalflowgrapher\Scripts\activate.bat or signalflowgrapher\Scripts\Activate.ps1
• On Unix or MacOS run source signalflowgrapher/bin/activate

For the managment of the dependencies, a virtual enviromnent is used.

• Open the src directory in an anaconda terminal
• Create virtual environment using command conda create -n sfg
• Activate virtual environment using the command conda activate sfg
• Install pip with conda install pip

• Open the src directory in a terminal or an anaconda terminal
• Run pip install -r requirements.txt

• Open the src directory in a terminal or an anaconda terminal
• Run python -m signalflowgrapher
• Run python -m signalflowgrapher --language de_CH for using the application with german translations

• Make sure the IDE's kernel runs in the src directory
• In the kernel, run the following lines:

from signalflowgrapher import app
app.run('')

• Open the src directory in a terminal or an anaconda terminal
• Run python -m unittest
• Run flake8 -v

There is none yet, but to familiarize yourself with signal-flow graphs, you can

• Watch "Signal-Flow Graphs in 12 short lessons" on https://tube.switch.ch/channels/d206c96c?order=episodes
• Read our papers, https://link.springer.com/article/10.1007%2Fs10470-018-1131-7 and http://rdcu.be/naw5 .

• You can get nice SVG versions of the graphs by exporting TikZ, converting it to pdf with pdflatex, and then run https://github.com/dawbarton/pdf2svg

Implemention of Johnson's algorithm: https://github.com/qpwo/python-simple-cycles