<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://turinglang.org/assets/logo/turing-logo-dark.svg"> <img src="https://turinglang.org/assets/logo/turing-logo-light.svg" alt="Turing.jl logo" width="300"> </picture> </p> <p align="center"><i>Bayesian inference with probabilistic programming</i></p>

Turing.jl Documentation and Tutorials

https://turinglang.org/docs/

Contributing

The easiest way to contribute to the documentation is to simply open a pull request. A preview version of the documentation is built for pull requests, so you can see how your changes look without having to build the entire site locally. (Note that if you are editing a tutorial that takes a long time to run, this feedback may take a while.)

The main branch contains the Quarto source code. The HTML documentation is automatically built using GitHub Actions, and deployed to the gh-pages branch, so you do not have to build and commit the HTML files yourself.

Local development

If you wish to render the docs website locally, you'll need to have Quarto installed (at least version 1.6.31) on your computer. Then:

1. Clone this repository:

   git clone https://github.com/TuringLang/docs
   

2. Navigate into the cloned directory:

   cd docs
   

3. Instantiate the project environment:

   julia --project=. -e 'using Pkg; Pkg.instantiate()'
   

4. Preview the website using Quarto.

[!WARNING] This will take a very long time, as it will build every tutorial from scratch. See below for ways to speed this up.

quarto preview

This will launch a local server at http://localhost:4200/, which you can view in your web browser by navigating to the link shown in your terminal.

5. Render the website locally:

   quarto render
   

   This will build the entire documentation and place the output in the _site folder. You can then view the rendered website by launching an HTTP server from that directory, e.g. using Python:

   cd _site
   python -m http.server 8000
   

   Then, navigate to http://localhost:8000/ in your web browser.

Faster rendering

Note that rendering the entire documentation site can take a long time (usually multiple hours). If you wish to speed up local rendering, there are two options available:

1. Render a single tutorial or qmd file without compiling the entire site. To do this, pass the qmd file as an argument to quarto render:

   quarto render path/to/index.qmd
   

   (Note that quarto preview does not support this single-file rendering.)

2. Download the most recent _freeze folder from the GitHub releases of this repo, and place it in the root of the project. The _freeze folder stores the cached outputs from a previous build of the documentation. If it is present, Quarto will reuse the outputs of previous computations for any files for which the source is unchanged.

   Note that the validity of a _freeze folder depends on the Julia environment that it was created with, because different package versions may lead to different outputs. In the GitHub release, the Manifest.toml is also provided, and you should also download this and place it in the root directory of the docs.

   If there isn't a suitably up-to-date _freeze folder in the releases, you can generate a new one by triggering a run for the create_release.yml workflow. (You will need to have the appropriate permissions; please create an issue if you need help with this.)

Troubleshooting build issues

Quarto's Julia engine uses a separate worker process behind the scenes. Sometimes this can result in issues with old package code not being unloaded (e.g. when package versions are upgraded). If you find that Quarto's execution is failing with errors that aren't reproducible via a normal REPL, try running:

quarto call engine julia kill

before rerunning the build (see the Quarto docs for more information).

Licence

This project is licensed under the MIT Licence - see the LICENSE file for details.