leanblueprint 0.0.20
Lean prover blueprint plasTeX plugin.
Requires Python: >=3.7

# Lean blueprints

This is a [plasTeX](https://github.com/plastex/plastex/) plugin allowing
to write blueprints for Lean 4 projects.
You can learn what those blueprints are about by reading
Terence Tao’s excellent [blog post about it](https://terrytao.wordpress.com/2023/11/18/formalizing-the-proof-of-pfr-in-lean4-using-blueprint-a-short-tour/).

This infrastructure was originally created in 2020 for the
[Sphere Eversion Project](https://leanprover-community.github.io/sphere-eversion/).
Since then, it has been used by many projects. The list below will give you many
examples but is not intended to be exhaustive.
It is in approximate chronological order, at least in the beginning of the list.

* [Sphere eversion project](https://leanprover-community.github.io/sphere-eversion/blueprint/index.html)
* [Liquid tensor experiment](https://leanprover-community.github.io/liquid/)
* [Unit fractions](https://b-mehta.github.io/unit-fractions/)
* [Fermat’s last theorem for regular primes](https://leanprover-community.github.io/flt-regular/blueprint/)
* [Arithmetic Progressions - Almost Periodicity](https://yaeldillies.github.io/LeanAPAP/blueprint/)
* [Polynomial Freiman-Ruzsa Conjecture](https://teorth.github.io/pfr/blueprint/)
* [Lower bounds for hypothesis testing based on information theory](https://remydegenne.github.io/testing-lower-bounds/blueprint/)
* [New Foundations is consistent](https://leanprover-community.github.io/con-nf/)
* [Prime number theorem and…](https://alexkontorovich.github.io/PrimeNumberTheoremAnd/web/)
* [Fermat's Last Theorem for 3](https://pitmonticone.github.io/FLT3/blueprint)
* [Fermat’s last theorem](https://imperialcollegelondon.github.io/FLT/blueprint/)
* [Carleson Operators on Doubling Metric Measure Spaces](http://florisvandoorn.com/carleson/)
* [Infinity Cosmos](https://github.com/emilyriehl/infinity-cosmos)
* [Analytic Number Theory Exponent Database](https://github.com/teorth/expdb)
* [Equational Theories](https://github.com/teorth/equational_theories)
* [HoTTLean](https://sinhp.github.io/groupoid_model_in_lean4/)
* [Sphere packing in Lean](https://thefundamentaltheor3m.github.io/Sphere-Packing-Lean/)
* [Localic Caratheodory extensions](https://bergschaf.github.io/Localic-Caratheodory-Extensions)
* [Banach Tarski](https://bergschaf.github.io/lean-banach-tarski)
* [Bourgain extractor in Lean](https://github.com/Command-Master/lean-bourgain)
* [Semi circle Law](https://fredraj3.github.io/SemicircleLaw/)
* [Seymour](https://ivan-sergeyev.github.io/seymour/)
* [STIR verification](https://leastauthority.github.io/STIR/)
* [Central limit theorem](https://remydegenne.github.io/CLT/blueprint/)
* [Brownian motion](https://remydegenne.github.io/brownian-motion/)
* [Formally Verified Arguments of Knowledge](https://verified-zkevm.github.io/ArkLib/blueprint/)
* [Chandra Furst Lipton](https://yaeldillies.github.io/ChandraFurstLipton/)
* [Cambridge combinatorics](https://yaeldillies.github.io/LeanCamCombi/)
* [Toric varieties in Lean](https://yaeldillies.github.io/Toric/)
* [Iwasaw theory in Lean](https://acmepjz.github.io/lean-iwasawa/)
* [Irrationality of ζ(3)](https://ahhwuhu.github.io/zeta_3_irrational/blueprint/)
* [Exceptional set in the abc conjecture](https://b-mehta.github.io/ABC-Exceptions/)
* [Analysis in Bonn](https://florisvandoorn.com/BonnAnalysis/blueprint/)
* [Extreme Value Distribution Project](https://kkytola.github.io/ExtremeValueProject/)
* [Formal proofs from the book](https://firsching.ch/FormalBook/)
* [Spectral theorem](https://oliver-butterley.github.io/SpectralThm/)
* [Sphere packing](https://thefundamentaltheor3m.github.io/Sphere-Packing-Lean/)
* [Radii Polynomial](https://ilpreterosso.github.io/LEANearized-RadiiPolynomial/)

## Installation

This package depends on `plastexdepgraph` which requires graphviz and its development libraries. 
If you have a user-friendly OS, it is as simple as 
`sudo apt install graphviz libgraphviz-dev`. 
See https://pygraphviz.github.io/documentation/stable/install.html otherwise.

Then, assuming you have a sane python environment, you only need to run:
```
pip install leanblueprint
```
Note this will automatically install plasTeX and the other needed python
packages.

## Upgrading

```
pip install -U leanblueprint
```

will upgrade to the latest version.

## Starting a blueprint

This package provides a command line tool `leanblueprint` that automates in
particular the creation of a blueprint for your Lean project. This tool is not
mandatory in any way. Its goal is to make it easy to create a blueprint without
worrying about choosing a file layout or a continuous integration and deployment
setup. As every one–size-fits-all tool, it is fairly opinionated. It assumes in
particular that your project repository is hosted on Github and you want to host
its blueprint on github.io.

If you don’t want to use the `leanblueprint` command line tool, you can use
this plugin as any other plasTeX plugin, using
`plastex --plugins leanblueprint my_file.tex` (not recommended).

In order to use the `leanblueprint` tool, you need to already have a Lean
project created using lake. In addition, your blueprint will be easier to
configure if you have at least one commit in the git repository of your project
and you have already configured its GitHub git remote (GitHub displays
instructions allowing to do the remote setup when you create a new repository
there). You should also tell GitHub that you want to use GitHub pages using
GitHub actions. You can do that from the GitHub page of your repository by
clicking on the Settings tab in the top menu, then the Pages link in the side
menu and selecting GitHub Actions as the source, as in the following
screenshot.

![GitHub pages settings](github_settings.png)

Assuming your project is ready and GitHub is configured, from your project
folder run 
```
leanblueprint new
```
You will then have to answer some questions to configure your blueprint. If
unsure, accept all default answers by simply hitting Enter for each question.
Only two questions will insist on having an explicit y/n answer: the question
confirming you want to create the blueprint and the one proposing to commit
to your git repository.

After running this creation script, you can push to GitHub and wait
for GitHub Actions to build your blueprint. You can monitor this task 
in the Actions tab of the GitHub page of your repository. 
When building is done, the html version of your blueprint will be deployed to 
`https://user_name.github.io/repo_name/blueprint/` (with the appropriate
user or organization name and repository name). The pdf version will be at 
`https://user_name.github.io/repo_name/blueprint.pdf`.
The API documentation will be at `https://user_name.github.io/repo_name/docs/`.

## Local compilation

Assuming you used the `leanblueprint` command line tool to create your blueprint
(or at least that you use the same file layout), you can use `leanblueprint` to
build your blueprint locally. The available commands are:

* `leanblueprint pdf` to build the pdf version (this requires a TeX installation
  of course).
* `leanblueprint web` to build the web version
* `leanblueprint checkdecls` to check that every Lean declaration name that appear
  in the blueprint exist in the project (or in a dependency of the project such
  as Mathlib). This requires a compiled Lean project, so make sure to run `lake build` beforehand.
* `leanblueprint all` to run the previous three commands.
* `leanblueprint serve` to start a local webserver showing your local blueprint
  (this sounds silly but web browsers paranoia makes it impossible to simply
  open the generated html pages without serving them). The url you should use
  in your browser will be displayed and will probably be `http://0.0.0.0:8000/`,
  unless the port 8000 is already in use.

Note: plasTeX does not call BibTeX. If you have a bibliography, you should use
`leanblueprint pdf` before `leanblueprint web` to get it to work in the web
version (and redo it when you add a reference).

## Editing the blueprint

Assuming you used the `leanblueprint` command line tool to create your blueprint
(or at least that you use the same file layout), the source of your blueprint
will be in the `blueprint/src` subfolder of your Lean project folder.

Here you will find two main TeX files: `web.tex` and `print.tex`. The first one
is intended for plasTeX while the second one is intended for a traditional TeX
compiler such as `xelatex` or `lualatex`. 
Each of them includes `macros/common.tex` for all TeX macros that make sense
for both kinds of outputs (this should be most of your macros). 
Macros that should behave differently depending on the target format should go
to either `macros/web.tex` or `macros/print.tex`. All those files already exist
and contains comments reminding you about the above explanations.

The main content of your blueprint should live in `content.tex` (or in files
imported in `content.tex` if you want to split your content).

The main TeX macros that relate your TeX code to your Lean code are:

* `\lean` that lists the Lean declaration names corresponding to the surrounding
  definition or statement (including namespaces).
* `\leanok` which claims the surrounding environment is fully formalized. Here
  an environment could be either a definition/statement or a proof.
* `\uses` that lists LaTeX labels that are used in the surrounding environment.
  This information is used to create the dependency graph. Here
  an environment could be either a definition/statement or a proof, depending on
  whether the referenced labels are necessary to state the definition/theorem
  or only in the proof.

The example below show those essential macros in action, assuming the existence of
LaTeX labels `def:immersion`, `thm:open_ample` and `lem:open_ample_immersion` and
assuming the existence of a Lean declaration `sphere_eversion`.

```latex
\begin{theorem}[Smale 1958]
  \label{thm:sphere_eversion}
  \lean{sphere_eversion}
  \leanok
  \uses{def:immersion}
  There is a homotopy of immersions of $𝕊^2$ into $ℝ^3$ from the inclusion map to
  the antipodal map $a : q ↦ -q$.
\end{theorem}
  
\begin{proof}
  \leanok
  \uses{thm:open_ample, lem:open_ample_immersion}
  This obviously follows from what we did so far.
\end{proof}
```

Note that the proof above is abbreviated in this documentation. 
Be nice to you and your collaborators and include more details in your blueprint proofs!

By default, the dependency graph will collect the environments definition,
lemma, proposition, theorem and corollary. You can change this list using the
`thms` option which expects a list of environment names separated by `+` signs. 
For instance you can write
```latex
\usepackage[thms=dfn+lem+prop+thm+cor]{blueprint}
```
if you like short environment names. See the 
[plastexdepgraph documentation](https://github.com/PatrickMassot/plastexdepgraph/blob/master/README.md) 
for other dependency graph options having nothing to do with Lean.
Note that this is giving the `depgraph` package options directly when loading
the `blueprint` package. Do not load the `depgraph` package separately.


The above macros are by far the most important, but there are a couple more.

* `\notready` which claims the surrounding environment is not ready to be formalized,
  typically because it requires more blueprint work.
* `\discussion` gives a GitHub issue number where the surrounding definition or
  statement is discussed.
* `\proves` inside a proof environment gives the LaTeX label of the LaTeX
  statement being proved. This is necessary only when the proof does not
  immediately follow the statement.
* `\mathlibok` marks nodes that were already merged into mathlib.

## Blueprint configuration

Most of the configuration is handled during the blueprint creation if you used
the `leanblueprint` client. But some of it can be changed by LaTeX macros
in the web version of LaTeX preamble (in the file `web.tex` if you use the
default layout).

* `\home{url}` defines the url of the home page of the project.
* `\github{url}` defines the url of the git repository of the project.
* `\dochome{url}` defines the url of the doc-gen API documentation of the
  project.
* `\graphcolor{node_type}{color}{description}` sets a color in the dependency
  graph and its description in the legend. The default values are
    * `stated`, `green`, `Green`
    * `can_state`, `blue`, `Blue`
    * `not_ready`, `#FFAA33`, `Orange`
    * `proved`, `#9CEC8B`, `Green`
    * `can_prove`, `#A3D6FF`, `Blue`
    * `defined`, `#B0ECA3`, `Light green`
    * `fully_proved`, `#1CAC78`, `Dark green`
    * `mathlib`, `darkgreen`, `Dark green`

    In particular you can use the above color descriptions to interpret the node
    type by comparison with the default legend.

## Acknowledgments

The continuous integration configuration template used by `leanblueprint new`
is based on the work of many people who had to write such a configuration by
hand in the past, including Yakov Pechersky, Ben Toner, Sky Wilshaw, Yaël Dillies
and Utensil Song. It also got contributions from Pietro Monticone.