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VSCode Dev Containter for TLA+

By Kevin Sullivan. University of Virginia Department of Computer Science. Building with gratitude on work by many others, esp LL.

What this is

Dependencies

  • Install and run Docker Desktop if you haven't already got it running
  • Install VSCode if necessary, then open a new VSCode editor process
  • Get yourself a GitHub account if you don't already have one and log in
  • At GitHub, fork this repository into your GitHub account (do not skip)

How to get it

  • In VSCode, install the remote development extension if it's not already installed
  • Use the remote-containers "Clone into container" command to clone your fork into our container
  • Click in the lower right if you want to see the container build, which takes maybe 5-10 minutes.

How to start using it

  • Open the test/test.tla file in VSCode.
  • The files you have to start are as at the end of the video tutorial.
  • Change the name of the color variable to colour. Save the file. There should be an error.
  • Fix the error by undoing the change in spelling. Save. All should be well again.
  • Now start the video and follow along, emptying test.tla to synch it with the start of the video.
  • If you want to flag issues or suggest or contribute improvements, please use GitHub issues and send PRs.

A Video installation walk-through

Thank you to Ben for producing this video: https://www.youtube.com/watch?v=sLGY7_agg4E

Nice features (as you will see in the video)

  • format and preview specifications in LaTeX
  • generate and preview dot/graphviz state machine visualizations
  • automatically reparse .tla files whenever they're saved
  • See the .devcontainer/Dockerfile for what's being set up

To disable auto-parse on file save

  • change setting from true to false in .vscode/settings.json for tlaplus

Regarding bugs and suggested repairs

  • Report issues using the issues tab in this GitHub-hosted repo
  • I welcome pull requests

Contact

Kevin Sullivan Department of Comp. Sci. University of Virginia [email protected]

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  • Dockerfile 86.9%
  • TLA 13.1%