https://github.com/annenkov/2ltt-docker

A docker image for the two-level type theory formalisation in Lean
https://github.com/annenkov/2ltt-docker

Last synced: 9 days ago
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A docker image for the two-level type theory formalisation in Lean

• Host: GitHub
• URL: https://github.com/annenkov/2ltt-docker
• Owner: annenkov
• Created: 2019-10-28T11:54:47.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-10-28T19:46:43.000Z (about 5 years ago)
• Last Synced: 2024-11-06T08:03:10.459Z (about 2 months ago)
• Language: Dockerfile
• Homepage:
• Size: 3.91 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# A docker image for 2LTT development

A docker image for the two-level type theory formalisation in Lean: https://github.com/annenkov/two-level

Steps to build

==============

* Clone this repo.

* Install `docker`.

* In the terminal, go to the directory you cloned this repo and run (notice `.` at the end) `docker build -t lean-image .`

* After building step is complete (this might take some time), run `docker run -it lean-image` to connect your current terminal session to the container.

* In the container, type `emacs ~/two-level/fibrantlimits.lean` to start editing `fibrantlimits.lean` with the lean-mode in Emacs.

Interacting with the Lean development

=====================================

As we have said before, the docker image comes with Emacs and lean-mode. The lean-mode provides syntax highlighting and allows to interactively develop proofs. 

Use C-c C-g to show goal in tactic proof, C-c C-p to print information about identifier, C-c C-t to show type, and C-c C-l to comple a lean file.

Alternatively, one can use the command line to compile the project or individual files:

* After executing `docker run -it lean-image`, change directory to our Lean development `cd ~/two-level`.

* Run `make clean` to clean previously compiled files

* Run `make` again to rebuild the project.

* Individual files can be compiled using `lean `.

The image comes with the preinstalled `nano` editor that can be used to view/edit the source files (but without syntax highlighting). Other editors can be installed, if required, using the `apt-get` command. For example, `apt-get install vim`.