For the course at Bonn SuSe 24.
- We will use a private channel on the Lean Zulip to coordinate.
- Blueprint
- Blueprint as pdf
Note: To get this repository, you will need to download Lean's mathematical library, which takes about 5 GB of storage space.
- You have to install Lean, and two supporting programs: Git and VSCode. Follow these instructions to do this. You do not have to follow the last step (creating Lean projects). Instead, use either VSCode or a terminal to get this repository.
-
Open Visual Studio Code
-
Press
Clone Git Repository
(if you don't see the welcome screen, you can pressctrl+shift+P
(orcmd+shift+P
on Mac), typeGit: Clone
and pressenter
) -
Type
https://github.com/fpvandoorn/BonnAnalysis.git
and press enter -
Choose a folder where you want to clone this repository (everything will be placed in a subfolder
BonnAnalysis
). -
Press
open
when asked if you want to open the cloned repository -
Open the file
BonnAnalysis/Test.lean
using the explorer button in the top-right. Do not pressRestart Lean
orRebuild Imports
when these pop-ups show up. (If you do, you will rebuild mathlib yourself, which is not recommended)
- In the top-middle (or top-right) of the screen there is a Lean menu marked by
∀
. In it, chooseProject Actions... > Project: Fetch Mathlib Build Cache
. This downloads mathlib, and will take a bit of time.
- Once this is finished, press the
Rebuild Imports
button. The file should be ready a few seconds later. If you see a blue squiggle under#eval
, Lean is running correctly.
-
Open a terminal (I recommend
git bash
on Windows, which was installed as part of git in the first step). -
Use
cd
to navigate to a directory where you would like to create theBonnAnalysis
folder. -
Run
git clone https://github.com/fpvandoorn/BonnAnalysis.git
. -
Run
cd BonnAnalysis
-
Run
lake exe cache get!
- This downloads mathlib, and will take a bit of time
- On Windows, if you get an error that starts with
curl: (35) schannel: next InitializeSecurityContext failed
it is probably your antivirus program that doesn't like that we're downloading many files. The easiest solution is to temporarily disable your antivirus program.
-
Launch VS Code, either through your application menu or by typing
code .
(note the dot!). (MacOS users need to take a one-off extra step to be able to launch VS Code from the command line.) -
If you launched VS Code from a menu, on the main screen, or in the File menu, click "Open folder" (just "Open" on a Mac), and choose the folder
BonnAnalysis
(not one of its subfolders). -
Test that everything is working by opening
BonnAnalysis/Test.lean
. It is normal if it takes 10-60 seconds for Lean to start up.
To test the Blueprint locally, you can compile print.tex
using XeLaTeX (i.e. xelatex print.tex
in the folder blueprint/src
). If you have the Python package invoke
you can also run inv bp
which puts the output in blueprint/print/print.pdf
.
If you feel adventurous and want to build the web version of the blueprint locally, you need to install some packages by following the instructions here. But if the pdf builds locally, you can just make a pull request and use the online blueprint.
-
Update this repository to the latest version (run
git pull
orgit fetch
+git merge
or their equivalents using VSCode source control). -
Switch to a branch. You can create a new branch using
git switch -c mynewbranch
or use... > Checkout to > Create new branch
in VSCode. (This can also be done after the next step if you forget.) -
Write some Lean code
- Try to follow the style guide: https://leanprover-community.github.io/contribute/style.html
- Make sure it compiles
-
Push your branch to your fork of this repository
- Using the terminal you first have to create a fork on Github and use
git remote add
to add this fork - Using VSCode this fork automatically created for you
- When you have added a new file, please import it in
BonnAnalysis.lean
.
- Using the terminal you first have to create a fork on Github and use
-
Open a pull request
- Just after you push this page will have a message on the top prompting you to open a pull request.
-
If it builds, I'll merge it.
- Feel free to make a pull request with partial work and a lot of sorry's, as long as it builds.
Reminder: Some additional details can be found in the instructions of the LeanCourse repository: https://github.com/fpvandoorn/LeanCourse23/blob/master/LeanCourse/Project/README.md