Jupyter Kernel for ACL2
Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. (https://jupyter.org/)
ACL2 is a logic and programming language in which you can model computer systems, together with a tool to help you prove properties of those models. "ACL2" denotes "A Computational Logic for Applicative Common Lisp". (http://www.cs.utexas.edu/users/moore/acl2/)
We follow to the standard jupyter kernel installation. So, you will install the kernel by pip command,
and will call the installation command like,
$ pip3 install jupyter acl2-kernel
$ python3 -m acl2_kernel.install
$ jupyter notebookYou also can see the deep usage by python3 -m acl2_kernel.install --help.
In some case, you might want to run the kernel in the Docker containers. This repository contains Dockerfile example. You can build example image by the following command.
$ docker build . -t acl2
To run the container, you would type the command like
$ docker run --rm -p 8888:8888 acl2 jupyter notebook --ip='0.0.0.0'
A running example is available in the example/ directory.
You can try it on 
Install Poetry and in the root directory, do
$ poetry build
$ pip3 install dist/acl2-kernel-<version>.tar.gz
$ python3 -m acl2_kernel.install --acl2 <path-to-acl2-binary>
This project is released under the BSD 3-clause license.
Copyright (c) 2020, TANIGUCHI Masaya All rights reserved.
We borrow code from the following projects.
- Egison Kernel; Copyright (c) 2017, Satoshi Egi and contributors All rights reserved.
- Bash Kernel; Copyright (c) 2015, Thomas Kluyver and contributors All rights reserved.