Software Open Access
Limperg, Jannis Limperg;
From, Asta Halkjær
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.7430173</identifier> <creators> <creator> <creatorName>Limperg, Jannis Limperg</creatorName> <givenName>Jannis Limperg</givenName> <familyName>Limperg</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8861-5231</nameIdentifier> <affiliation>Vrije Universiteit Amsterdam</affiliation> </creator> <creator> <creatorName>From, Asta Halkjær</creatorName> <givenName>Asta Halkjær</givenName> <familyName>From</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-3601-0804</nameIdentifier> <affiliation>Technical University of Denmark</affiliation> </creator> </creators> <titles> <title>Supplement for "Aesop: White-Box Best-First Proof Search for Lean"</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2022</publicationYear> <dates> <date dateType="Issued">2022-12-11</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="Software"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/7430173</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="ConferencePaper">10.1145/3573105.3575671</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="ConferencePaper">10.5281/zenodo.7430233</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.7424818</relatedIdentifier> </relatedIdentifiers> <version>2</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>This is the supplement for the paper &quot;Aesop: White-Box Best-First Proof Search for Lean&quot;, presented at CPP 2023.</p> <p>There are two ways to use this artifact:</p> <ul> <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> <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> </ul> <p>This version fixes a minor configuration issue with the VM and is otherwise identical to version 1.</p></description> <description descriptionType="Other">Partly funded by NWO grant 016.Vidi.189.037 (Lean Forward).</description> </descriptions> </resource>
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