Hello everyone. First of all thank you very much for putting in a good amount of time for building CommonRoad, the ecosystem around it and those really nice tutorials !
I wanted to ask you, how we could test our changes in code/work localy ?
For example I want to rapidly test some changes on different calculation of the cost function or when
I add or remove a particular parameter. Can we use jupyter notebook somehow for the
Local Working Process/Workflow ?? That would be amazing. Thank you
(I am using docker container with the jupyter notebook way. I hope there is a answer which also helps the ones installed everything on their physical machine or in a VirtualMachine)
docker run -it -p 9000:8888 --mount src="$(pwd)",target=/commonroad-search,type=bind tomdoerr/commonroad-search
the cloned commonroad-search folder will be mounted, and you can already make changes in this folder and test them .
For displaying internal computation results, you can either 1. print them 2. add them to the stat dictionary 3. using IDEs such as PyCharm to see internal values.
Thanks for the response and help. Unfortunately in the tutor asking session the tutor says he should not be able to anwser me this quesitons and I shell ask here.
1.Question: How can I test my changes faster ? Because now when I want to test smaller changes of the configuratio nfo my parameters, I always have to run the batch processing jupyter notebook ? And then wait till all of the scenarios have been computaded.
How could we do this in a more precise way ?
2.Question: To only pass this Homework (Minimum Approach) can you tell us how many functions do we have to consider and/or change. As I am not going to dive deeper into CommonRoad and still want to practice a little with the informed searchign algorithms but without having to spend above 7-10hours.
Hi again,
If you just want to test your changes and see the effect, you can simply do it via the tutorial_commonroad-search notebook. The batch processing is used only after you have finalized your planner to check its performance on other scenarios.
