Accessing Local Variables During Debugging
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MELT a Translated Domain Specific Language Embedded in the GCC
MELT a Translated Domain Specific Language Embedded in the GCC Compiler Basile STARYNKEVITCH CEA, LIST Software Safety Laboratory, boˆıte courrier 94, 91191 GIF/YVETTE CEDEX, France [email protected] [email protected] The GCC free compiler is a very large software, compiling source in several languages for many targets on various systems. It can be extended by plugins, which may take advantage of its power to provide extra specific functionality (warnings, optimizations, source refactoring or navigation) by processing various GCC internal representations (Gimple, Tree, ...). Writing plugins in C is a complex and time-consuming task, but customizing GCC by using an existing scripting language inside is impractical. We describe MELT, a specific Lisp-like DSL which fits well into existing GCC technology and offers high-level features (functional, object or reflexive programming, pattern matching). MELT is translated to C fitted for GCC internals and provides various features to facilitate this. This work shows that even huge, legacy, software can be a posteriori extended by specifically tailored and translated high-level DSLs. 1 Introduction GCC1 is an industrial-strength free compiler for many source languages (C, C++, Ada, Objective C, Fortran, Go, ...), targetting about 30 different machine architectures, and supported on many operating systems. Its source code size is huge (4.296MLOC2 for GCC 4.6.0), heterogenous, and still increasing by 6% annually 3. It has no single main architect and hundreds of (mostly full-time) contributors, who follow strict social rules 4. 1.1 The powerful GCC legacy The several GCC [8] front-ends (parsing C, C++, Go . -
How Lisp Systems Look Different in Proceedings of European Conference on Software Maintenance and Reengineering (CSMR 2008)
How Lisp Systems Look Different In Proceedings of European Conference on Software Maintenance and Reengineering (CSMR 2008) Adrian Dozsa Tudor Gˆırba Radu Marinescu Politehnica University of Timis¸oara University of Berne Politehnica University of Timis¸oara Romania Switzerland Romania [email protected] [email protected] [email protected] Abstract rently used in a variety of domains, like bio-informatics (BioBike), data mining (PEPITe), knowledge-based en- Many reverse engineering approaches have been devel- gineering (Cycorp or Genworks), video games (Naughty oped to analyze software systems written in different lan- Dog), flight scheduling (ITA Software), natural language guages like C/C++ or Java. These approaches typically processing (SRI International), CAD (ICAD or OneSpace), rely on a meta-model, that is either specific for the language financial applications (American Express), web program- at hand or language independent (e.g. UML). However, one ming (Yahoo! Store or reddit.com), telecom (AT&T, British language that was hardly addressed is Lisp. While at first Telecom Labs or France Telecom R&D), electronic design sight it can be accommodated by current language inde- automation (AMD or American Microsystems) or planning pendent meta-models, Lisp has some unique features (e.g. systems (NASA’s Mars Pathfinder spacecraft mission) [16]. macros, CLOS entities) that are crucial for reverse engi- neering Lisp systems. In this paper we propose a suite of Why Lisp is Different. In spite of its almost fifty-year new visualizations that reveal the special traits of the Lisp history, and of the fact that other programming languages language and thus help in understanding complex Lisp sys- borrowed concepts from it, Lisp still presents some unique tems. -
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. -
Download This Ebook for Free
lisp #lisp Table of Contents About 1 Chapter 1: Getting started with lisp 2 Remarks 2 Examples 2 Installation or Setup 2 Dialects of Lisp and their implementations 2 Lisp Resources 3 Credits 4 About You can share this PDF with anyone you feel could benefit from it, downloaded the latest version from: lisp It is an unofficial and free lisp ebook created for educational purposes. All the content is extracted from Stack Overflow Documentation, which is written by many hardworking individuals at Stack Overflow. It is neither affiliated with Stack Overflow nor official lisp. The content is released under Creative Commons BY-SA, and the list of contributors to each chapter are provided in the credits section at the end of this book. Images may be copyright of their respective owners unless otherwise specified. All trademarks and registered trademarks are the property of their respective company owners. Use the content presented in this book at your own risk; it is not guaranteed to be correct nor accurate, please send your feedback and corrections to [email protected] https://riptutorial.com/ 1 Chapter 1: Getting started with lisp Remarks This section provides an overview of what lisp is, and why a developer might want to use it. It should also mention any large subjects within lisp, and link out to the related topics. Since the Documentation for lisp is new, you may need to create initial versions of those related topics. Examples Installation or Setup Probably the two most popular free implementations of Common Lisp are Clozure Common Lisp (CCL) and Steel Bank Common Lisp (SBCL). -
CSC 407/507 Programming Assignment #1: Common Lisp Due Date: Friday, February 2
CSC 407/507 Programming Assignment #1: Common Lisp Due Date: Friday, February 2 Remember you can work in groups of up to three students. Download a version of Common Lisp. Two free (but trial limited) versions are available at Franz Common Lisp (http://www.franz.com/downloads/) and LispWorks (http://www.lispworks.com/). Another version is called Steel Bank Common Lisp which does not come with an IDE, just a command line interface (https://common-lisp.net/downloads/). A GNU’s Common Lisp is available for both Unix/Linux (https://www.gnu.org/software/gcl/) and Windows (https://www.cs.utexas.edu/users/novak/gclwin.html). LispWorks is recommended as the easiest and least fuss. In this program, you will write multiple Lisp functions which support (or implement wholly) sorting algorithms. Some functions may serve multiple sort algorithms if you can work it out although this is not necessary. You should aim to build helper functions so that you are not implementing any single sort in a single function. Some algorithms will require helper functions (e.g., mergesort which has at least the recursive mergesort function and the merge function). You are to implement five of the following seven sort algorithms: bubblesort, heapsort, insertionsort, mergesort, quicksort, radixsort and selectionsort. You must do at least one of mergesort or quicksort among the five you implement. You are to use recursion for the mergesort/quicksort functions and are encouraged to use recursion as much as possible in the remainder of your functions whether they are helper functions or the sort functions. Use lists to store the values to be sorted (they will all be integer numbers) rather than arrays. -
Common Lisp Alan Dipert, [email protected] Orange Combinator 2018-12-17 Lisp History
Old-School FP Common Lisp Alan Dipert, [email protected] Orange Combinator 2018-12-17 Lisp History Invented by John McCarthy at MIT in 1958 Inspired by Alonzo Church’s lambda calculus Described in 1960 paper, Recursive Functions of Symbolic Expressions and Their Computation by Machine, Part I Shows a Turing-complete language for algorithms and defines it in terms of an eval function written in itself Implemented by Steve Russell around 1960 A student of McCarthy’s, Russell saw McCarthy’s paper on his desk, read it, and implemented the eval function in machine code. The result was a Lisp interpreter. Language represented with its own data structures: homoiconicity Lambda Calculus Lisp (λx.M) (lambda (x) M…) Lambda abstraction Anonymous function M is any lambda term M… is zero or more expressions β-reduction Evaluation ((λx.M) E) → (M[x:=E]) ((lambda (x) M…) E) → (M[x:=E]) Relationship to AI Associated with Artificial Intelligence (AI) research since its invention at the MIT AI Lab by McCarthy in 1958 First symbolic programming language As opposed to numeric like Fortran (1957) Objects and operations upon them not necessarily numeric Logical Set-theoretic First garbage-collected language Memory reclaimed automatically when possible Really they just needed a decent scripting language to iterate quickly with Today, most programming is “symbolic”! Classic Lisp: member* (defun member* (x xs) (if xs (if (eql (car xs) x) xs (member* x (cdr xs))))) (member* 2 ‘(1 2 3)) → ‘(2 3) defun: defines a function in the current -
A Quick Introduction to Common Lisp
CSC 244/444 Notes last updated Feb 3, 2020 A Quick Introduction to Common Lisp Lisp is a functional language well-suited to sym- bolic AI, based on the λ-calculus and with list structures as a very flexible basic data type; pro- grams are themselves list structures, and thus can be created and manipulated just like other data. This introduction isn't intended to give you all the details, but just enough to get across the essential ideas, and to let you get under way quickly. The best way to make use of it is in front of a computer, trying out all the things mentioned. Basic characteristics of Lisp and Common Lisp: • Lisp is primarily intended for manipulating symbolic data in the form of list struc- tures, e.g., (THREE (BLIND MICE) SEE (HOW (THEY RUN)) !) • Arithmetic is included, e.g., (SQRT (+ (* 3 3) (* 4 4))) or (sqrt (+ (* 3 3) (* 4 4))) (Common Lisp is case-insensitive, except in strings between quotes " ... ", specially delimited symbols like |Very Unusual Symbol!|, and for characters prefixed with \\"). • Common Lisp (unlike John McCarthy's original \pure" Lisp) has arrays and record structures; this leads to more understandable and efficient code, much as in typed languages, but there is no obligatory typing. • All computation consists of expression evaluation. For instance, typing in the above (SQRT ...) expression and hitting the enter key immediately gives 5. • Lisp is a functional language based on Alonzo Church's λ-calculus (which like Turing machines provides a complete basis for all computable functions). For instance, a function for the square root of the sum of two squares can be expressed as (lambda (x y) (sqrt (+ (* x x) (* y y)))). -
Latexsample-Thesis
INTEGRAL ESTIMATION IN QUANTUM PHYSICS by Jane Doe A dissertation submitted to the faculty of The University of Utah in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Mathematics The University of Utah May 2016 Copyright c Jane Doe 2016 All Rights Reserved The University of Utah Graduate School STATEMENT OF DISSERTATION APPROVAL The dissertation of Jane Doe has been approved by the following supervisory committee members: Cornelius L´anczos , Chair(s) 17 Feb 2016 Date Approved Hans Bethe , Member 17 Feb 2016 Date Approved Niels Bohr , Member 17 Feb 2016 Date Approved Max Born , Member 17 Feb 2016 Date Approved Paul A. M. Dirac , Member 17 Feb 2016 Date Approved by Petrus Marcus Aurelius Featherstone-Hough , Chair/Dean of the Department/College/School of Mathematics and by Alice B. Toklas , Dean of The Graduate School. ABSTRACT Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. -
Pipenightdreams Osgcal-Doc Mumudvb Mpg123-Alsa Tbb
pipenightdreams osgcal-doc mumudvb mpg123-alsa tbb-examples libgammu4-dbg gcc-4.1-doc snort-rules-default davical cutmp3 libevolution5.0-cil aspell-am python-gobject-doc openoffice.org-l10n-mn libc6-xen xserver-xorg trophy-data t38modem pioneers-console libnb-platform10-java libgtkglext1-ruby libboost-wave1.39-dev drgenius bfbtester libchromexvmcpro1 isdnutils-xtools ubuntuone-client openoffice.org2-math openoffice.org-l10n-lt lsb-cxx-ia32 kdeartwork-emoticons-kde4 wmpuzzle trafshow python-plplot lx-gdb link-monitor-applet libscm-dev liblog-agent-logger-perl libccrtp-doc libclass-throwable-perl kde-i18n-csb jack-jconv hamradio-menus coinor-libvol-doc msx-emulator bitbake nabi language-pack-gnome-zh libpaperg popularity-contest xracer-tools xfont-nexus opendrim-lmp-baseserver libvorbisfile-ruby liblinebreak-doc libgfcui-2.0-0c2a-dbg libblacs-mpi-dev dict-freedict-spa-eng blender-ogrexml aspell-da x11-apps openoffice.org-l10n-lv openoffice.org-l10n-nl pnmtopng libodbcinstq1 libhsqldb-java-doc libmono-addins-gui0.2-cil sg3-utils linux-backports-modules-alsa-2.6.31-19-generic yorick-yeti-gsl python-pymssql plasma-widget-cpuload mcpp gpsim-lcd cl-csv libhtml-clean-perl asterisk-dbg apt-dater-dbg libgnome-mag1-dev language-pack-gnome-yo python-crypto svn-autoreleasedeb sugar-terminal-activity mii-diag maria-doc libplexus-component-api-java-doc libhugs-hgl-bundled libchipcard-libgwenhywfar47-plugins libghc6-random-dev freefem3d ezmlm cakephp-scripts aspell-ar ara-byte not+sparc openoffice.org-l10n-nn linux-backports-modules-karmic-generic-pae -
Lisping Copyleft: a Close Reading of the Lisp LGPL 15
Lisping Copyleft: A Close Reading of the Lisp LGPL 15 Lisping Copyleft: A Close Reading of the Lisp LGPL Eli Greenbaum a (a) Attorney, Yigal Arnon & Co. Jerusalem DOI: 10.5033/ifosslr.v5i1.75 Abstract: The idioms of both the General Public License (the “GPL”) and the Lesser General Public License (the “LGPL”) seem to be grounded in the C programming language. This article analyses the Lisp Lesser General Public License (colloquially and here referred to as the “LLGPL”), a specific attempt to apply the LGPL to a language with a programming paradigm and method of building and distributing programs that traditionally differs substantially from the approach of C. In addition, this article attempts to understand whether the LLGPL actually succeeds in its stated goal of translating the LGPL to the Lisp context or whether the LLGPL changes the requirements and philosophical moorings of the LGPL. Keywords: Law; information technology; Free and Open Source Software; copyleft, copyright; derivation; compilation; Lisp; LGPL; Introduction The idioms of both the General Public License (the “GPL”) and the Lesser General Public License 1 (the “LGPL”) seem to be grounded in the C programming language. The licenses refer to “compiling”, “linking” and “header files”, features of the C programming languages which may not be present in other languages that are not traditionally compiled. Similarly, the licenses do not expressly include provisions relating to features of object-oriented programming languages.2 Do the GNU licenses work as intended when applied in these other contexts? 3 This article analyses the Lisp 1 The LLGPL license is drafted as a preamble to version 2.1 of the LGPL. -
Platform Freedom for a Graphical Lisp Application Through Armed Bear Common Lisp
CARMA: Platform Freedom for a Graphical Lisp Application through Armed Bear Common Lisp John D. Hastings Alexandre V. Latchininsky Dept. of Computer Science Dept. of Renewable Resources University of Nebraska-Kearney University of Wyoming Kearney, NE, USA Laramie, WY, USA [email protected] [email protected] Abstract 1. Introduction CARMA is an advisory system that uses artificially- CARMA is an advisory system for grasshopper infesta- intelligent techniques including case-based reasoning tions that has been successfully used since 1996 (Hast- to provide advice about the most environmentally and ings, Branting, & Lockwood 2002). CARMA, short economically effective responses to grasshopper infes- for CAse-based Rangeland Management Advisor, em- tations. CARMA’s core AI reasoner was initially writ- ploys a variety of artificially-intelligent (AI) techniques ten in Common Lisp and integrated with an Allegro to provide advice about the most environmentally and Common Lisp for Windows graphical user interface economically effective responses to grasshopper infes- (GUI). CARMA went public in 1996 and has been tations. In the process, CARMA demonstrates an ap- used successfully since. Recently, CARMA’s architec- proach to providing advice concerning the behavior of ture was reworked in order to avoid periodic develop- a complex biological system by exploiting multiple, in- ment and deployment fees, and to produce a platform- dividually incomplete, knowledge sources (Hastings, independent system by following a philosophy called Branting, & Lockwood 1996) including utilization of a platform freedom which emphasizes freedom from technique known as approximate-model-based adapta- both platform dependence and software costs. The im- tion which integrates case-based reasoning with model- plementation also demonstrates an approach to creating based reasoning for the purposes of prediction within a Lisp application with an appealing GUI which is web complex physical systems. -
Integral Estimation in Quantum Physics
INTEGRAL ESTIMATION IN QUANTUM PHYSICS by Jane Doe A dissertation submitted to the faculty of The University of Utah in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mathematical Physics Department of Mathematics The University of Utah May 2016 Copyright c Jane Doe 2016 All Rights Reserved The University of Utah Graduate School STATEMENT OF DISSERTATION APPROVAL The dissertation of Jane Doe has been approved by the following supervisory committee members: Cornelius L´anczos , Chair(s) 17 Feb 2016 Date Approved Hans Bethe , Member 17 Feb 2016 Date Approved Niels Bohr , Member 17 Feb 2016 Date Approved Max Born , Member 17 Feb 2016 Date Approved Paul A. M. Dirac , Member 17 Feb 2016 Date Approved by Petrus Marcus Aurelius Featherstone-Hough , Chair/Dean of the Department/College/School of Mathematics and by Alice B. Toklas , Dean of The Graduate School. ABSTRACT Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah.