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  • Familiarity with Linux, git, make
  • Strong working knowledge of C++ in application development and using STL. No experience using OpenGL or 3D rendering is required.
  • Working knowledge of Python, matplotlib

Helpful Material (though none is required for the exercise):

Prerequisites

Setup

Install Docker using either your package mananger (eg sudo apt-get install docker.io  on Ubuntu / Debian) or following the instructions on https://docs.docker.com/get-docker/ . Alternatively, you can try and directly install VisIt, demo code and the required packages onto your system (Linux will likely be the only one you succeed), by following what the Dockerfile does.

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Code Block
sudo docker pull rhaas/spin2023:20230111v0
sudo docker create --name spin2023 rhaas/spin2023:20230111v0

Check your setup

Make sure that you can run VisIt in the container by first starting the container:

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and that the image data.png looks like this:

Close down docker

Finally stop the container

Code Block
sudo docker stop spin2023


Exercise

  • Log into Start and log in to the container as above
  • Edit and edit the file XYV/avtXYVFileFormat.C  such that instead of using space separated files like in data.xyv  it accepts comma separated files data2.xyv .
  • There are vim , emacs , and nano  editors present. If you are unfamiliar with all of then, nano  will be the easiest one to use since it shows all commands at the bottom of the screen.
  • Once you are done editing, recompile the code using make.
  • Then run the script plot_XYV2.py  to produce (if all goes well) data2.png
  • Finally copy avtXYVFileFormat.C and data2.png  ouf the container and send me (rhaas@illinois.edu) both of them as an attachment in an email.
  • The file avtXYVFileFormat-sol.C contains the final solution (a 3 character change). You produced image file should look like this:

Commands required

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Code Block
sudo docker start spin2023
sudo docker exec -ti spin2023 /bin/bash -i
cd XYV
nano avtXYVFileFormat.C
make
/home/visit/visit3_3_1.linux-x86_64/bin/visit -cli -nowin -s plot_XYV2.py
sudo docker cp spin2023:/home/visit/XYV/data2.png ./data2.png
sudo docker cp spin2023:/home/visit/XYV/avtXYVFileFormat.C ./avtXYVFileFormat.C
sudo docker stop spin2023

Cleaning up

You can remove the docker image and container using:

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