Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.
For better control about the amount of feedback the software gives and where it is written to, it would be helpful to use logging. This would replace any current print statements. We can flag outputs as INFO, DEBUG, or WARNING. Users can then control which level of information they would like to receive. Furthermore, it is possible to direct the feedback stream to various targets, including the standard output/terminal or a log file.
Details
Possibly introduce some general setup/rc interface to set up logging globally for the user?
Summary
For better control about the amount of feedback the software gives and where it is written to, it would be helpful to use
logging
. This would replace any current print statements. We can flag outputs asINFO
,DEBUG
, orWARNING
. Users can then control which level of information they would like to receive. Furthermore, it is possible to direct the feedback stream to various targets, including the standard output/terminal or a log file.Details