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An Implementation of Python for Racket
An Implementation of Python for Racket Pedro Palma Ramos António Menezes Leitão INESC-ID, Instituto Superior Técnico, INESC-ID, Instituto Superior Técnico, Universidade de Lisboa Universidade de Lisboa Rua Alves Redol 9 Rua Alves Redol 9 Lisboa, Portugal Lisboa, Portugal [email protected] [email protected] ABSTRACT Keywords Racket is a descendent of Scheme that is widely used as a Python; Racket; Language implementations; Compilers first language for teaching computer science. To this end, Racket provides DrRacket, a simple but pedagogic IDE. On the other hand, Python is becoming increasingly popular 1. INTRODUCTION in a variety of areas, most notably among novice program- The Racket programming language is a descendent of Scheme, mers. This paper presents an implementation of Python a language that is well-known for its use in introductory for Racket which allows programmers to use DrRacket with programming courses. Racket comes with DrRacket, a ped- Python code, as well as adding Python support for other Dr- agogic IDE [2], used in many schools around the world, as Racket based tools. Our implementation also allows Racket it provides a simple and straightforward interface aimed at programs to take advantage of Python libraries, thus signif- inexperienced programmers. Racket provides different lan- icantly enlarging the number of usable libraries in Racket. guage levels, each one supporting more advanced features, that are used in different phases of the courses, allowing Our proposed solution involves compiling Python code into students to benefit from a smoother learning curve. Fur- semantically equivalent Racket source code. For the run- thermore, Racket and DrRacket support the development of time implementation, we present two different strategies: additional programming languages [13]. -
Common Lispworks User Guide
LispWorks® for the Windows® Operating System Common LispWorks User Guide Version 5.1 Copyright and Trademarks Common LispWorks User Guide (Windows version) Version 5.1 February 2008 Copyright © 2008 by LispWorks Ltd. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of LispWorks Ltd. The information in this publication is provided for information only, is subject to change without notice, and should not be construed as a commitment by LispWorks Ltd. LispWorks Ltd assumes no responsibility or liability for any errors or inaccuracies that may appear in this publication. The software described in this book is furnished under license and may only be used or copied in accordance with the terms of that license. LispWorks and KnowledgeWorks are registered trademarks of LispWorks Ltd. Adobe and PostScript are registered trademarks of Adobe Systems Incorporated. Other brand or product names are the registered trade- marks or trademarks of their respective holders. The code for walker.lisp and compute-combination-points is excerpted with permission from PCL, Copyright © 1985, 1986, 1987, 1988 Xerox Corporation. The XP Pretty Printer bears the following copyright notice, which applies to the parts of LispWorks derived therefrom: Copyright © 1989 by the Massachusetts Institute of Technology, Cambridge, Massachusetts. Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, pro- vided that this copyright and permission notice appear in all copies and supporting documentation, and that the name of M.I.T. -
IDE User Guide Version 7.1 Copyright and Trademarks Lispworks IDE User Guide (Unix Version) Version 7.1 September 2017 Copyright © 2017 by Lispworks Ltd
LispWorks® IDE User Guide Version 7.1 Copyright and Trademarks LispWorks IDE User Guide (Unix version) Version 7.1 September 2017 Copyright © 2017 by LispWorks Ltd. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of LispWorks Ltd. The information in this publication is provided for information only, is subject to change without notice, and should not be construed as a commitment by LispWorks Ltd. LispWorks Ltd assumes no responsibility or liability for any errors or inaccuracies that may appear in this publication. The software described in this book is furnished under license and may only be used or copied in accordance with the terms of that license. LispWorks and KnowledgeWorks are registered trademarks of LispWorks Ltd. Adobe and PostScript are registered trademarks of Adobe Systems Incorporated. Other brand or product names are the registered trade- marks or trademarks of their respective holders. The code for walker.lisp and compute-combination-points is excerpted with permission from PCL, Copyright © 1985, 1986, 1987, 1988 Xerox Corporation. The XP Pretty Printer bears the following copyright notice, which applies to the parts of LispWorks derived therefrom: Copyright © 1989 by the Massachusetts Institute of Technology, Cambridge, Massachusetts. Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, pro- vided that this copyright and permission notice appear in all copies and supporting documentation, and that the name of M.I.T. -
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. -
The Evolution of Lisp
1 The Evolution of Lisp Guy L. Steele Jr. Richard P. Gabriel Thinking Machines Corporation Lucid, Inc. 245 First Street 707 Laurel Street Cambridge, Massachusetts 02142 Menlo Park, California 94025 Phone: (617) 234-2860 Phone: (415) 329-8400 FAX: (617) 243-4444 FAX: (415) 329-8480 E-mail: [email protected] E-mail: [email protected] Abstract Lisp is the world’s greatest programming language—or so its proponents think. The structure of Lisp makes it easy to extend the language or even to implement entirely new dialects without starting from scratch. Overall, the evolution of Lisp has been guided more by institutional rivalry, one-upsmanship, and the glee born of technical cleverness that is characteristic of the “hacker culture” than by sober assessments of technical requirements. Nevertheless this process has eventually produced both an industrial- strength programming language, messy but powerful, and a technically pure dialect, small but powerful, that is suitable for use by programming-language theoreticians. We pick up where McCarthy’s paper in the first HOPL conference left off. We trace the development chronologically from the era of the PDP-6, through the heyday of Interlisp and MacLisp, past the ascension and decline of special purpose Lisp machines, to the present era of standardization activities. We then examine the technical evolution of a few representative language features, including both some notable successes and some notable failures, that illuminate design issues that distinguish Lisp from other programming languages. We also discuss the use of Lisp as a laboratory for designing other programming languages. We conclude with some reflections on the forces that have driven the evolution of Lisp. -
Knowledge Based Engineering: Between AI and CAD
Advanced Engineering Informatics 26 (2012) 159–179 Contents lists available at SciVerse ScienceDirect Advanced Engineering Informatics journal homepage: www.elsevier.com/locate/aei Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design ⇑ Gianfranco La Rocca Faculty of Aerospace Engineering, Delft University of Technology, Chair of Flight Performance and Propulsion, Kluyverweg 1, 2629HS Delft, The Netherlands article info abstract Article history: Knowledge based engineering (KBE) is a relatively young technology with an enormous potential for Available online 16 March 2012 engineering design applications. Unfortunately the amount of dedicated literature available to date is quite low and dispersed. This has not promoted the diffusion of KBE in the world of industry and acade- Keywords: mia, neither has it contributed to enhancing the level of understanding of its technological fundamentals. Knowledge based engineering The scope of this paper is to offer a broad technological review of KBE in the attempt to fill the current Knowledge engineering information gap. The artificial intelligence roots of KBE are briefly discussed and the main differences and Engineering design similarities with respect to classical knowledge based systems and modern general purpose CAD systems Generative design highlighted. The programming approach, which is a distinctive aspect of state-of-the-art KBE systems, is Knowledge based design Rule based design discussed in detail, to illustrate its effectiveness in capturing and re-using engineering knowledge to automate large portions of the design process. The evolution and trends of KBE systems are investigated and, to conclude, a list of recommendations and expectations for the KBE systems of the future is provided. -
Proceedings of the 8Th European Lisp Symposium Goldsmiths, University of London, April 20-21, 2015 Julian Padget (Ed.) Sponsors
Proceedings of the 8th European Lisp Symposium Goldsmiths, University of London, April 20-21, 2015 Julian Padget (ed.) Sponsors We gratefully acknowledge the support given to the 8th European Lisp Symposium by the following sponsors: WWWLISPWORKSCOM i Organization Programme Committee Julian Padget – University of Bath, UK (chair) Giuseppe Attardi — University of Pisa, Italy Sacha Chua — Toronto, Canada Stephen Eglen — University of Cambridge, UK Marc Feeley — University of Montreal, Canada Matthew Flatt — University of Utah, USA Rainer Joswig — Hamburg, Germany Nick Levine — RavenPack, Spain Henry Lieberman — MIT, USA Christian Queinnec — University Pierre et Marie Curie, Paris 6, France Robert Strandh — University of Bordeaux, France Edmund Weitz — University of Applied Sciences, Hamburg, Germany Local Organization Christophe Rhodes – Goldsmiths, University of London, UK (chair) Richard Lewis – Goldsmiths, University of London, UK Shivi Hotwani – Goldsmiths, University of London, UK Didier Verna – EPITA Research and Development Laboratory, France ii Contents Acknowledgments i Messages from the chairs v Invited contributions Quicklisp: On Beyond Beta 2 Zach Beane µKanren: Running the Little Things Backwards 3 Bodil Stokke Escaping the Heap 4 Ahmon Dancy Unwanted Memory Retention 5 Martin Cracauer Peer-reviewed papers Efficient Applicative Programming Environments for Computer Vision Applications 7 Benjamin Seppke and Leonie Dreschler-Fischer Keyboard? How quaint. Visual Dataflow Implemented in Lisp 15 Donald Fisk P2R: Implementation of -
Release Notes
LispWorks® Release Notes and Installation Guide Version 6.0 Copyright and Trademarks LispWorks Release Notes and Installation Guide Version 6.0 December 2009 Copyright © 2009 by LispWorks Ltd. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of LispWorks Ltd. The information in this publication is provided for information only, is subject to change without notice, and should not be construed as a commitment by LispWorks Ltd. LispWorks Ltd assumes no responsibility or liability for any errors or inaccuracies that may appear in this publication. The software described in this book is furnished under license and may only be used or copied in accordance with the terms of that license. LispWorks and KnowledgeWorks are registered trademarks of LispWorks Ltd. Adobe and PostScript are registered trademarks of Adobe Systems Incorporated. Other brand or product names are the registered trade- marks or trademarks of their respective holders. The code for walker.lisp and compute-combination-points is excerpted with permission from PCL, Copyright © 1985, 1986, 1987, 1988 Xerox Corporation. The XP Pretty Printer bears the following copyright notice, which applies to the parts of LispWorks derived therefrom: Copyright © 1989 by the Massachusetts Institute of Technology, Cambridge, Massachusetts. Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, pro- vided that this copyright and permission notice appear in all copies and supporting documentation, and that the name of M.I.T. -
Lisp: Final Thoughts
20 Lisp: Final Thoughts Both Lisp and Prolog are based on formal mathematical models of computation: Prolog on logic and theorem proving, Lisp on the theory of recursive functions. This sets these languages apart from more traditional languages whose architecture is just an abstraction across the architecture of the underlying computing (von Neumann) hardware. By deriving their syntax and semantics from mathematical notations, Lisp and Prolog inherit both expressive power and clarity. Although Prolog, the newer of the two languages, has remained close to its theoretical roots, Lisp has been extended until it is no longer a purely functional programming language. The primary culprit for this diaspora was the Lisp community itself. The pure lisp core of the language is primarily an assembly language for building more complex data structures and search algorithms. Thus it was natural that each group of researchers or developers would “assemble” the Lisp environment that best suited their needs. After several decades of this the various dialects of Lisp were basically incompatible. The 1980s saw the desire to replace these multiple dialects with a core Common Lisp, which also included an object system, CLOS. Common Lisp is the Lisp language used in Part III. But the primary power of Lisp is the fact, as pointed out many times in Part III, that the data and commands of this language have a uniform structure. This supports the building of what we call meta-interpreters, or similarly, the use of meta-linguistic abstraction. This, simply put, is the ability of the program designer to build interpreters within Lisp (or Prolog) to interpret other suitably designed structures in the language. -
A Lisp Oriented Architecture by John W.F
A Lisp Oriented Architecture by John W.F. McClain Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degrees of Master of Science in Electrical Engineering and Computer Science and Bachelor of Science in Electrical Engineering at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 1994 © John W.F. McClain, 1994 The author hereby grants to MIT permission to reproduce and to distribute copies of this thesis document in whole or in part. Signature of Author ...... ;......................... .............. Department of Electrical Engineering and Computer Science August 5th, 1994 Certified by....... ......... ... ...... Th nas F. Knight Jr. Principal Research Scientist 1,,IA £ . Thesis Supervisor Accepted by ....................... 3Frederic R. Morgenthaler Chairman, Depattee, on Graduate Students J 'FROM e ;; "N MfLIT oARIES ..- A Lisp Oriented Architecture by John W.F. McClain Submitted to the Department of Electrical Engineering and Computer Science on August 5th, 1994, in partial fulfillment of the requirements for the degrees of Master of Science in Electrical Engineering and Computer Science and Bachelor of Science in Electrical Engineering Abstract In this thesis I describe LOOP, a new architecture for the efficient execution of pro- grams written in Lisp like languages. LOOP allows Lisp programs to run at high speed without sacrificing safety or ease of programming. LOOP is a 64 bit, long in- struction word architecture with support for generic arithmetic, 64 bit tagged IEEE floats, low cost fine grained read and write barriers, and fast traps. I make estimates for how much these Lisp specific features cost and how much they may speed up the execution of programs written in Lisp. -
A Python Implementation for Racket
PyonR: A Python Implementation for Racket Pedro Alexandre Henriques Palma Ramos Thesis to obtain the Master of Science Degree in Information Systems and Computer Engineering Supervisor: António Paulo Teles de Menezes Correia Leitão Examination Committee Chairperson: Prof. Dr. José Manuel da Costa Alves Marques Supervisor: Prof. Dr. António Paulo Teles de Menezes Correia Leitão Member of the Committee: Prof. Dr. João Coelho Garcia October 2014 ii Agradecimentos Agradec¸o... Em primeiro lugar ao Prof. Antonio´ Leitao,˜ por me ter dado a oportunidade de participar no projecto Rosetta com esta tese de mestrado, por todos os sabios´ conselhos e pelos momentos de discussao˜ e elucidac¸ao˜ que se proporcionaram ao longo deste trabalho. Aos meus pais excepcionais e a` minha mana preferida, por me terem aturado e suportado ao longo destes quase 23 anos e sobretudo pelo incondicional apoio durante estes 5 anos de formac¸ao˜ superior. Ao pessoal do Grupo de Arquitectura e Computac¸ao˜ (Hugo Correia, Sara Proenc¸a, Francisco Freire, Pedro Alfaiate, Bruno Ferreira, Guilherme Ferreira, Inesˆ Caetano e Carmo Cardoso), por todas as sug- estoes˜ e pelo inestimavel´ feedback em artigos e apresentac¸oes.˜ Aos amigos em Tomar (Rodrigo Carrao,˜ Hugo Matos, Andre´ Marques e Rui Santos) e em Lisboa (Diogo da Silva, Nuno Silva, Pedro Engana, Kaguedes, Clara Paiva e Odemira), por terem estado pre- sentes, duma forma ou doutra, nos essenciais momentos de lazer. A` Fundac¸ao˜ para a Cienciaˆ e Tecnologia (FCT) e ao INESC-ID pelo financiamento e acolhimento atraves´ da atribuic¸ao˜ de uma bolsa de investigac¸ao˜ no ambitoˆ dos contratos Pest-OE/EEI/LA0021/2013 e PTDC/ATP-AQI/5224/2012. -
ASDF 3, Or Why Lisp Is Now an Acceptable Scripting Language (Extended Version)
ASDF 3, or Why Lisp is Now an Acceptable Scripting Language (Extended version) François-René Rideau Google [email protected] Abstract libraries, or network services; one can scale them into large, main- ASDF, the de facto standard build system for Common Lisp, has tainable and modular systems; and one can make those new ser- been vastly improved between 2009 and 2014. These and other im- vices available to other programs via the command-line as well as provements finally bring Common Lisp up to par with "scripting via network protocols, etc. languages" in terms of ease of writing and deploying portable code The last barrier to making that possible was the lack of a that can access and "glue" together functionality from the underly- portable way to build and deploy code so a same script can run ing system or external programs. "Scripts" can thus be written in unmodified for many users on one or many machines using one or Common Lisp, and take advantage of its expressive power, well- many different compilers. This was solved by ASDF 3. defined semantics, and efficient implementations. We describe the ASDF has been the de facto standard build system for portable most salient improvements in ASDF and how they enable previ- CL software since shortly after its release by Dan Barlow in 2002 ously difficult and portably impossible uses of the programming (Barlow 2004). The purpose of a build system is to enable divi- language. We discuss past and future challenges in improving this sion of labor in software development: source code is organized key piece of software infrastructure, and what approaches did or in separately-developed components that depend on other compo- didn’t work in bringing change to the Common Lisp community.