Merge pull request #1 from tillahoffmann/action

Add GitHub Action to test reproduction materials.

.github/workflows/main.yaml

@@ -0,0 +1,27 @@
+name: Reproduction Materials
+
+on:
+  push:
+    branches: ["main"]
+  pull_request:
+    branches: ["main"]
+  workflow_dispatch:
+
+jobs:
+  build:
+    name: Build
+    runs-on: "ubuntu-latest"
+    steps:
+      - uses: "actions/checkout@v3"
+      - name: Build Docker image.
+        run: docker build -t gptools .
+      - name: Generate figures (using ./in-docker.sh but we can't use `-it` in the Action).
+        run: docker run --rm -e FAST=true -v `pwd`:/workdir gptools cook exec figures
+      - name: Upload figures and reports as artifacts.
+        uses: actions/upload-artifact@v3
+        with:
+          name: figures-reports
+          path: |
+            */*.html
+            */*.pdf
+            */*.png

README.md

@@ -1,4 +1,4 @@
-# Reproduction materials for "Scalable Gaussian Process Inference with Stan"
+# Reproduction materials for "Scalable Gaussian Process Inference with Stan" [![Reproduction Materials](https://github.com/tillahoffmann/gptools-reproduction-material/actions/workflows/main.yaml/badge.svg)](https://github.com/tillahoffmann/gptools-reproduction-material/actions/workflows/main.yaml)
 
 This repository comprises code and data to reproduce the results and figures in the accompanying manuscript [Scalable Gaussian Process Inference with Stan](https://doi.org/10.48550/arXiv.2301.08836).
 
@@ -27,9 +27,13 @@ For any of the subsequent commands, they can be executed by either running `[the
 
 If you switch between containerized and local runtime, you may need to remove compiled Stan programs because binaries are not interoperable. Run `[./in-docker.sh] cook exec rm-compiled` to do so.
 
+### Continuous integration
+
+To ensure the reproducibility of these materials, the results are also computed as the output of a GitHub Action workflow [![Reproduction Materials](https://github.com/tillahoffmann/gptools-reproduction-material/actions/workflows/main.yaml/badge.svg)](https://github.com/tillahoffmann/gptools-reproduction-material/actions/workflows/main.yaml) with the `FAST=true` flag. Figures can be obtained by selecting a workflow run and downloading the `figures-reports` artifact.
+
 ## Running the experiments
 
-Figures in the manuscript were generated using the containerized runtime, and all runtime estimates below are based on a 2020 Macbook Pro with M1 chip and 16 GB of memory running macOS 13.4 (22F66). All figures can be reproduced by running `[./in-docker.sh] cook exec figures` (see below for details).
+Figures in the manuscript were generated using the containerized runtime, and all runtime estimates below are based on a 2020 Macbook Pro with M1 chip and 16 GB of memory running macOS 13.4 (22F66). Figures are generated by executing Jupyter notebooks stored in markdown format. All figures can be reproduced by running `[./in-docker.sh] cook exec figures` (see below for details).
 
 ### Applications