(image courtesy of @tranngocma)
RedPRL is the People's Refinement Logic, a next-generation homage to Nuprl; RedPRL was preceeded by JonPRL, written by Jon Sterling, Daniel Gratzer and Vincent Rahli.
The purpose of RedPRL is to provide a practical implementation of Computational Cubical Type Theory in the Nuprl style, integrating modern advances in proof refinement.
RedPRL is (becoming) a proof assistant for Computational Cubical Type Theory, as described by Angiuli, Favonia, and Harper in Computational Higher Type Theory III: Univalent Universes and Exact Equality. The syntactic framework is inspired by second-order abstract syntax (relevant names include Aczel, Martin-Löf, Fiore, Plotkin, Turi, Harper, and many others).
This is the repository for the nascent development of RedPRL. RedPRL is an experiment which is constantly changing; we do not yet have strong documentation, but we have an IRC channel on Freenode (#redprl) where we encourage anyone to ask any question, no matter how silly it may seem.
First, fetch all submodules. If you are cloning for the first time, use
git clone --recursive git@github.com:RedPRL/sml-redprl.git
If you have already cloned, then be sure to make sure all submodules are up to date, as follows:
git submodule update --init --recursive
Next, make sure that you have the MLton compiler for Standard ML installed. Then, simply run
./script/mlton.sh
Then, a binary will be placed in ./bin/redprl, which you may run as
follows
./bin/redprl example/README.prl
Our best-supported editor is currently Vim. See the RedPRL plugin under vim/.
If you'd like to help, the best place to start are issues with the following labels:
We follow the issue labels used by Rust which are described in detail here.
If you find something you want to work on, please leave a comment so that others can coordinate their efforts with you. Also, please don't hesitate to open a new issue if you have feedback of any kind.
The above text is stolen from Yggdrasil.
Please see CONTRIBUTING.md for copyright assignment.
This research was sponsored by the Air Force Office of Scientific Research under grant number FA9550-15-1-0053 and the National Science Foundation under grant number DMS-1638352. We also thank the Isaac Newton Institute for Mathematical Sciences for its support and hospitality during the program "Big Proof" when part of this work was undertaken; the program was supported by the Engineering and Physical Sciences Research Council under grant number EP/K032208/1. The views and conclusions contained here are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of any sponsoring institution, government or any other entity.