Software Open Access

Supplement for "Aesop: White-Box Best-First Proof Search for Lean"

Limperg, Jannis Limperg; From, Asta Halkjær

JSON-LD ( Export

  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  "description": "<p>This is the supplement for the paper &quot;Aesop: White-Box Best-First Proof Search for Lean&quot;, presented at CPP 2023.</p>\n\n<p>There are two ways to use this artifact:</p>\n\n<ul>\n\t<li><code>aesop.tar.gz</code> contains the source code of the version of Aesop discussed in the paper, as well as the test suite and a script for evaluating the case studies. After you&#39;ve unpacked this archive, follow the instructions in the README to set up Lean 4, build Aesop and evaluate the case studies.</li>\n\t<li><code>aesop-artifact.ova</code> is a virtual machine (running a Debian 11 Linux system with an LXQt desktop environment) which provides a full Lean 4 environment, including the Visual Studio Code text editor with the Lean 4 extension pre-installed. To access the virtual machine, run it (with e.g. VirtualBox, VMWare or QEMU) and log in as user &quot;artifact&quot; with password &quot;password&quot;. The folder <code>/home/artifact/aesop</code> contains the contents of <code>aesop.tar.gz</code>, including the README with further instructions. You can skip the &quot;Building Aesop&quot; section of the README since we have already performed these steps for you. To start Visual Studio Code, click on the corresponding Desktop icon; this should automatically open the Aesop folder and start the Lean 4 server. If you need root access, use <code>sudo</code> with password &quot;password&quot;.</li>\n</ul>\n\n<p>This version fixes a minor configuration issue with the VM and is otherwise identical to version 1.</p>", 
  "license": "", 
  "creator": [
      "affiliation": "Vrije Universiteit Amsterdam", 
      "@id": "", 
      "@type": "Person", 
      "name": "Limperg, Jannis Limperg"
      "affiliation": "Technical University of Denmark", 
      "@id": "", 
      "@type": "Person", 
      "name": "From, Asta Halkj\u00e6r"
  "url": "", 
  "datePublished": "2022-12-11", 
  "version": "2", 
  "@type": "SoftwareSourceCode", 
  "@context": "", 
  "identifier": "", 
  "@id": "", 
  "workFeatured": {
    "url": "", 
    "alternateName": "CPP", 
    "location": "Boston, MA, USA", 
    "@type": "Event", 
    "name": "Certified Proofs and Programs"
  "name": "Supplement for \"Aesop: White-Box Best-First Proof Search for Lean\""
All versions This version
Views 4934
Downloads 94
Data volume 12.6 GB3.1 GB
Unique views 3829
Unique downloads 63


Cite as