NST: a Unit Testing System for Common Lisp
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GNU/Linux AI & Alife HOWTO
GNU/Linux AI & Alife HOWTO GNU/Linux AI & Alife HOWTO Table of Contents GNU/Linux AI & Alife HOWTO......................................................................................................................1 by John Eikenberry..................................................................................................................................1 1. Introduction..........................................................................................................................................1 2. Symbolic Systems (GOFAI)................................................................................................................1 3. Connectionism.....................................................................................................................................1 4. Evolutionary Computing......................................................................................................................1 5. Alife & Complex Systems...................................................................................................................1 6. Agents & Robotics...............................................................................................................................1 7. Statistical & Machine Learning...........................................................................................................2 8. Missing & Dead...................................................................................................................................2 1. Introduction.........................................................................................................................................2 -
The Clon User Manual the Command-Line Options Nuker, Version 1.0 Beta 25 "Michael Brecker"
The Clon User Manual The Command-Line Options Nuker, Version 1.0 beta 25 "Michael Brecker" Didier Verna <[email protected]> Copyright c 2010{2012, 2015, 2017, 2020, 2021 Didier Verna Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided also that the section entitled \Copy- ing" is included exactly as in the original. Permission is granted to copy and distribute translations of this manual into an- other language, under the above conditions for modified versions, except that this permission notice may be translated as well. Cover art by Alexis Angelidis. i Table of Contents Copying ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 1 1 Introduction :::::::::::::::::::::::::::::::::::::::::::::::::::: 3 2 Installation:::::::::::::::::::::::::::::::::::::::::::::::::::::: 5 3 Quick Start ::::::::::::::::::::::::::::::::::::::::::::::::::::: 7 3.1 Full Source :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 7 3.2 Explanation ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 7 4 Using Clon :::::::::::::::::::::::::::::::::::::::::::::::::::: 11 4.1 Synopsis Definition ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 11 4.1.1 Synopsis Items ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 11 4.1.1.1 Text :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: -
Processing an Intermediate Representation Written in Lisp
Processing an Intermediate Representation Written in Lisp Ricardo Pena,˜ Santiago Saavedra, Jaime Sanchez-Hern´ andez´ Complutense University of Madrid, Spain∗ [email protected],[email protected],[email protected] In the context of designing the verification platform CAVI-ART, we arrived to the need of deciding a textual format for our intermediate representation of programs. After considering several options, we finally decided to use S-expressions for that textual representation, and Common Lisp for processing it in order to obtain the verification conditions. In this paper, we discuss the benefits of this decision. S-expressions are homoiconic, i.e. they can be both considered as data and as code. We exploit this duality, and extensively use the facilities of the Common Lisp environment to make different processing with these textual representations. In particular, using a common compilation scheme we show that program execution, and verification condition generation, can be seen as two instantiations of the same generic process. 1 Introduction Building a verification platform such as CAVI-ART [7] is a challenging endeavour from many points of view. Some of the tasks require intensive research which can make advance the state of the art, as it is for instance the case of automatic invariant synthesis. Some others are not so challenging, but require a lot of pondering and discussion before arriving at a decision, in order to ensure that all the requirements have been taken into account. A bad or a too quick decision may have a profound influence in the rest of the activities, by doing them either more difficult, or longer, or more inefficient. -
Rubicon: Bounded Verification of Web Applications
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DSpace@MIT Rubicon: Bounded Verification of Web Applications Joseph P. Near, Daniel Jackson Computer Science and Artificial Intelligence Lab Massachusetts Institute of Technology Cambridge, MA, USA {jnear,dnj}@csail.mit.edu ABSTRACT ification language is an extension of the Ruby-based RSpec We present Rubicon, an application of lightweight formal domain-specific language for testing [7]; Rubicon adds the methods to web programming. Rubicon provides an embed- quantifiers of first-order logic, allowing programmers to re- ded domain-specific language for writing formal specifica- place RSpec tests over a set of mock objects with general tions of web applications and performs automatic bounded specifications over all objects. This compatibility with the checking that those specifications hold. Rubicon's language existing RSpec language makes it easy for programmers al- is based on the RSpec testing framework, and is designed to ready familiar with testing to write specifications, and to be both powerful and familiar to programmers experienced convert existing RSpec tests into specifications. in testing. Rubicon's analysis leverages the standard Ruby interpreter to perform symbolic execution, generating veri- Rubicon's automated analysis comprises two parts: first, fication conditions that Rubicon discharges using the Alloy Rubicon generates verification conditions based on specifica- Analyzer. We have tested Rubicon's scalability on five real- tions; second, Rubicon invokes a constraint solver to check world applications, and found a previously unknown secu- those conditions. The Rubicon library modifies the envi- rity bug in Fat Free CRM, a popular customer relationship ronment so that executing a specification performs symbolic management system. -
The Machine That Builds Itself: How the Strengths of Lisp Family
Khomtchouk et al. OPINION NOTE The Machine that Builds Itself: How the Strengths of Lisp Family Languages Facilitate Building Complex and Flexible Bioinformatic Models Bohdan B. Khomtchouk1*, Edmund Weitz2 and Claes Wahlestedt1 *Correspondence: [email protected] Abstract 1Center for Therapeutic Innovation and Department of We address the need for expanding the presence of the Lisp family of Psychiatry and Behavioral programming languages in bioinformatics and computational biology research. Sciences, University of Miami Languages of this family, like Common Lisp, Scheme, or Clojure, facilitate the Miller School of Medicine, 1120 NW 14th ST, Miami, FL, USA creation of powerful and flexible software models that are required for complex 33136 and rapidly evolving domains like biology. We will point out several important key Full list of author information is features that distinguish languages of the Lisp family from other programming available at the end of the article languages and we will explain how these features can aid researchers in becoming more productive and creating better code. We will also show how these features make these languages ideal tools for artificial intelligence and machine learning applications. We will specifically stress the advantages of domain-specific languages (DSL): languages which are specialized to a particular area and thus not only facilitate easier research problem formulation, but also aid in the establishment of standards and best programming practices as applied to the specific research field at hand. DSLs are particularly easy to build in Common Lisp, the most comprehensive Lisp dialect, which is commonly referred to as the “programmable programming language.” We are convinced that Lisp grants programmers unprecedented power to build increasingly sophisticated artificial intelligence systems that may ultimately transform machine learning and AI research in bioinformatics and computational biology. -
Omnipresent and Low-Overhead Application Debugging
Omnipresent and low-overhead application debugging Robert Strandh [email protected] LaBRI, University of Bordeaux Talence, France ABSTRACT application programmers as opposed to system programmers. The state of the art in application debugging in free Common The difference, in the context of this paper, is that the tech- Lisp implementations leaves much to be desired. In many niques that we suggest are not adapted to debugging the cases, only a backtrace inspector is provided, allowing the system itself, such as the compiler. Instead, throughout this application programmer to examine the control stack when paper, we assume that, as far as the application programmer an unhandled error is signaled. Most such implementations do is concerned, the semantics of the code generated by the not allow the programmer to set breakpoints (unconditional compiler corresponds to that of the source code. or conditional), nor to step the program after it has stopped. In this paper, we are mainly concerned with Common Furthermore, even debugging tools such as tracing or man- Lisp [1] implementations distributed as so-called FLOSS, i.e., ually calling break are typically very limited in that they do \Free, Libre, and Open Source Software". While some such not allow the programmer to trace or break in important sys- implementations are excellent in terms of the quality of the tem functions such as make-instance or shared-initialize, code that the compiler generates, most leave much to be simply because these tools impact all callers, including those desired when it comes to debugging tools available to the of the system itself, such as the compiler. -
Wiki Comunità Di Pratica
STRUMENTI SOFTWARE PER LA COOPERAZIONE DI RETE Comunità Wiki Comunità di pratica Le comunità di pratica e di apprendimento sono gruppi sociali che hanno come obiettivo finale il generare conoscenza organizzata e di qualità cui ogni individuo può avere libero accesso. In queste comunità gli individui mirano a un apprendimento continuo e hanno consapevolezza delle proprie conoscenze. Non esistono differenze di tipo gerarchico: tutti hanno uguale importanza perché il lavoro di ciascuno è beneficio per l’intera comunità. La finalità è il miglioramento collettivo. Chi entra in questo tipo di organizzazione mira a un modello di condivisione; non esistono spazi privati o individuali, in quanto tutti condividono tutto. Chi ha conoscenza e la tiene per sé è come se non l’avesse. Le comunità di pratica tendono all'eccellenza, a prendere ciò che di meglio produce ognuno dei collaboratori. Questo metodo costruttivista punta ad una conoscenza che si costruisce insieme e rappresenta un modo di vivere, lavorare e studiare. É questa una concezione che si differenzia notevolmente dalle società di tipo individualistico. Tra queste troviamo la società occidentale dove tra gli uomini prevale la competizione e manca quella collaborazione che invece funge da motore pulsante nelle comunità di pratica. Le teorie di McLuhan Fra i più importanti teorici delle comunità di pratica c'è Marshall McLuhan. Negli strumenti del comunicare egli afferma: "nel regime della tecnologia elettrica il compito dell’uomo diventa quello di imparare e di sapere; tutte le forme di ricchezza derivano dallo spostamento d’informazione". Secondo il mito greco dell'alfabeto, prima dell'arrivo di re Cadmo (che introdusse in Grecia le lettere fonetiche), la conoscenza e il potere erano monopolio sacerdotale, in quanto la scrittura prealfabetica, con i suoi innumerevoli segni, era difficile da apprendere. -
Wikis UND BLOGS
WiKIS UND BLOGS Herausgegeben von Christoph Lange an Computer & Literatur Verlag GmbH INHALT Vorwort 15 1 Wiki contra CMS 21 1.1 Ein Wiki aus Benutzersicht: Wikipedia 23 1.2 Content-Management-Systeme 30 1.3 Wiki versus CMS? Wiki als CMS! 32 2 Mit Wikis arbeiten 39 2.1 Seite, Artikel und Topic 40 2.2 Seiten bearbeiten 43 2.2.1 Bearbeitungsvermerke angeben 44 2.2.2 Den Autor nennen 44 2.2.3 Beiträge unterschreiben 46 2.2.4 Kleine oder große Änderung 47 2.2.5 Bearbeitungskonflikte und Editwars 47 2.2.6 Zum Ausprobieren: Vorschau und Sandkasten 51 2.2.7 Die erste neue Seite 52 2.2.8 Seiten löschen 54 2.3 Syntax-Standards 56 2.4 Verwandtschaft mit HTML 57 2.5 Zeichensätze 58 2.6 Text gliedern und formatieren 59 2.6.1 Leerraum, Zeilenumbrüche und Absätze 59 2.6.2 Überschriften 60 2.6.3 Zeichenformate 62 2.6.4 Listen und Einrückungen 65 2.6.5 Einrückungen 69 2.6.6 Ohne Wiki-Syntax arbeiten 71 2.6.7 Tabellen 74 2.6.8 Vermischtes 84 Inhalt 2.7 Links 88 2.7.1 Hyperlinks und Hypertext 88 2.7.2 Wiki-interne Links 89 2.7.3 Kategorien 99 2.7.4 Links ins Web 105 2.7.5 InterWiki: Links zu anderen Wikis 107 2.7.6 Bilder einbinden 111 2.8 Textbausteine und Vorlagen 117 2.9 Versionen 129 2.9.1 Alte Versionen einer Seite 129 2.9.2 Änderungen im Wiki verfolgen 134 2.10 Uploads 141 2.11 Suche im Wiki 147 Anwendungsgebiete und Arbeitshilfen. -
HOL-Testgen Version 1.8 USER GUIDE
HOL-TestGen Version 1.8 USER GUIDE Achim Brucker, Lukas Brügger, Abderrahmane Feliachi, Chantal Keller, Matthias Krieger, Delphine Longuet, Yakoub Nemouchi, Frédéric Tuong, Burkhart Wolff To cite this version: Achim Brucker, Lukas Brügger, Abderrahmane Feliachi, Chantal Keller, Matthias Krieger, et al.. HOL-TestGen Version 1.8 USER GUIDE. [Technical Report] Univeristé Paris-Saclay; LRI - CNRS, University Paris-Sud. 2016. hal-01765526 HAL Id: hal-01765526 https://hal.inria.fr/hal-01765526 Submitted on 12 Apr 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. R L R I A P P O R HOL-TestGen Version 1.8 USER GUIDE T BRUCKER A D / BRUGGER L / FELIACHI A / KELLER C / KRIEGER M P / LONGUET D / NEMOUCHI Y / TUONG F / WOLFF B D Unité Mixte de Recherche 8623 E CNRS-Université Paris Sud-LRI 04/2016 R Rapport de Recherche N° 1586 E C H E R C CNRS – Université de Paris Sud H Centre d’Orsay LABORATOIRE DE RECHERCHE EN INFORMATIQUE E Bâtiment 650 91405 ORSAY Cedex (France) HOL-TestGen 1.8.0 User Guide http://www.brucker.ch/projects/hol-testgen/ Achim D. Brucker Lukas Brügger Abderrahmane Feliachi Chantal Keller Matthias P. -
Exploring Languages with Interpreters and Functional Programming Chapter 11
Exploring Languages with Interpreters and Functional Programming Chapter 11 H. Conrad Cunningham 24 January 2019 Contents 11 Software Testing Concepts 2 11.1 Chapter Introduction . .2 11.2 Software Requirements Specification . .2 11.3 What is Software Testing? . .3 11.4 Goals of Testing . .3 11.5 Dimensions of Testing . .3 11.5.1 Testing levels . .4 11.5.2 Testing methods . .6 11.5.2.1 Black-box testing . .6 11.5.2.2 White-box testing . .8 11.5.2.3 Gray-box testing . .9 11.5.2.4 Ad hoc testing . .9 11.5.3 Testing types . .9 11.5.4 Combining levels, methods, and types . 10 11.6 Aside: Test-Driven Development . 10 11.7 Principles for Test Automation . 12 11.8 What Next? . 15 11.9 Exercises . 15 11.10Acknowledgements . 15 11.11References . 16 11.12Terms and Concepts . 17 Copyright (C) 2018, H. Conrad Cunningham Professor of Computer and Information Science University of Mississippi 211 Weir Hall P.O. Box 1848 University, MS 38677 1 (662) 915-5358 Browser Advisory: The HTML version of this textbook requires a browser that supports the display of MathML. A good choice as of October 2018 is a recent version of Firefox from Mozilla. 2 11 Software Testing Concepts 11.1 Chapter Introduction The goal of this chapter is to survey the important concepts, terminology, and techniques of software testing in general. The next chapter illustrates these techniques by manually constructing test scripts for Haskell functions and modules. 11.2 Software Requirements Specification The purpose of a software development project is to meet particular needs and expectations of the project’s stakeholders. -
Beginner's Luck
Beginner’s Luck A Language for Property-Based Generators Leonidas Lampropoulos1 Diane Gallois-Wong2,3 Cat˘ alin˘ Hrit¸cu2 John Hughes4 Benjamin C. Pierce1 Li-yao Xia2,3 1University of Pennsylvania, USA 2INRIA Paris, France 3ENS Paris, France 4Chalmers University, Sweden Abstract An appealing feature of QuickCheck is that it offers a library Property-based random testing a` la QuickCheck requires build- of property combinators resembling standard logical operators. For ing efficient generators for well-distributed random data satisfying example, a property of the form p ==> q, built using the impli- complex logical predicates, but writing these generators can be dif- cation combinator ==>, will be tested automatically by generating ficult and error prone. We propose a domain-specific language in valuations (assignments of random values, of appropriate type, to which generators are conveniently expressed by decorating pred- the free variables of p and q), discarding those valuations that fail icates with lightweight annotations to control both the distribu- to satisfy p, and checking whether any of the ones that remain are tion of generated values and the amount of constraint solving that counterexamples to q. happens before each variable is instantiated. This language, called QuickCheck users soon learn that this default generate-and-test Luck, makes generators easier to write, read, and maintain. approach sometimes does not give satisfactory results. In particular, We give Luck a formal semantics and prove several fundamen- if the precondition p is satisfied by relatively few values of the ap- tal properties, including the soundness and completeness of random propriate type, then most of the random inputs that QuickCheck generation with respect to a standard predicate semantics. -
Lisp Web Tales My Attempts at Learning Web Development, Foolishly Using Common Lisp, and Even More Foolishly, Writing About It in Public
Lisp Web Tales My attempts at learning web development, foolishly using common lisp, and even more foolishly, writing about it in public Pavel Penev This book is for sale at http://leanpub.com/lispwebtales This version was published on 2013-11-24 This is a Leanpub book. Leanpub empowers authors and publishers with the Lean Publishing process. Lean Publishing is the act of publishing an in-progress ebook using lightweight tools and many iterations to get reader feedback, pivot until you have the right book and build traction once you do. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License Tweet This Book! Please help Pavel Penev by spreading the word about this book on Twitter! The suggested hashtag for this book is #lispwebtales. Find out what other people are saying about the book by clicking on this link to search for this hashtag on Twitter: https://twitter.com/search?q=#lispwebtales Contents Preface .................................................... i Introduction ................................................. ii Why Lisp ................................................. ii Whats in the book ............................................ ii Who is this for .............................................. ii What you need to get started ....................................... iii Typographic conventions ......................................... iii 1 The basics ................................................. 1 Raw example ............................................... 1 A simple