23 Things I Know About Modules for Scheme
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Towards a Portable and Mobile Scheme Interpreter
Towards a Portable and Mobile Scheme Interpreter Adrien Pi´erard Marc Feeley Universit´eParis 6 Universit´ede Montr´eal [email protected] [email protected] Abstract guage. Because Mobit implements R4RS Scheme [6], we must also The transfer of program data between the nodes of a distributed address the serialization of continuations. Our main contribution is system is a fundamental operation. It usually requires some form the demonstration of how this can be done while preserving the in- of data serialization. For a functional language such as Scheme it is terpreter’s maintainability and with local changes to the original in- clearly desirable to also allow the unrestricted transfer of functions terpreter’s structure, mainly through the use of unhygienic macros. between nodes. With the goal of developing a portable implemen- We start by giving an overview of the pertinent features of the tation of the Termite system we have designed the Mobit Scheme Termite dialect of Scheme. In Section 3 we explain the structure interpreter which supports unrestricted serialization of Scheme ob- of the interpreter on which Mobit is based. Object serialization is jects, including procedures and continuations. Mobit is derived discussed in Section 4. Section 5 compares Mobit’s performance from an existing Scheme in Scheme fast interpreter. We demon- with other interpreters. We conclude with related and future work. strate how macros were valuable in transforming the interpreter while preserving its structure and maintainability. Our performance 2. Termite evaluation shows that the run time speed of Mobit is comparable to Termite is a Scheme adaptation of the Erlang concurrency model. -
Hy Documentation Release 0.12.1+64.G5eb9283
hy Documentation Release 0.12.1+64.g5eb9283 Paul Tagliamonte Apr 14, 2017 Contents 1 Documentation Index 3 1.1 Quickstart................................................4 1.2 Tutorial..................................................5 1.2.1 Basic intro to Lisp for Pythonistas...............................5 1.2.2 Hy is a Lisp-flavored Python..................................7 1.2.3 Macros............................................. 12 1.2.4 Hy <-> Python interop..................................... 13 1.2.5 Protips!............................................. 14 1.3 Hy Style Guide.............................................. 14 1.3.1 Prelude............................................. 15 1.3.2 Layout & Indentation...................................... 15 1.3.3 Coding Style.......................................... 16 1.3.4 Conclusion........................................... 17 1.3.5 Thanks............................................. 17 1.4 Documentation Index.......................................... 18 1.4.1 Command Line Interface.................................... 18 1.4.2 Hy <-> Python interop..................................... 19 1.4.3 Hy (the language)........................................ 21 1.4.4 Hy Core............................................. 47 1.4.5 Reader Macros......................................... 65 1.4.6 Internal Hy Documentation................................... 66 1.5 Extra Modules Index........................................... 72 1.5.1 Anaphoric Macros....................................... 72 1.5.2 -
An Industrial Strength Theorem Prover for a Logic Based on Common Lisp
An Industrial Strength Theorem Prover for a Logic Based on Common Lisp y z Matt Kaufmannand J Strother Moore Personal use of this material is permitted. particular style of formal veri®cation that has shown consid- However, permission to reprint/republish this erable promise in recent years is the use of general-purpose material for advertising or promotional pur- automated reasoning systems to model systems and prove poses or for creating new collective works for properties of them. Every such reasoning system requires resale or redistribution to servers or lists, or considerable assistance from the user, which makes it im- to reuse any copyrighted component of this portant that the system provide convenient ways for the user work in other works must be obtained from the to interact with it. IEEE.1 One state-of-the-art general-purpose automated reason- ing system is ACL2: ªA Computational Logic for Applica- AbstractÐACL2 is a re-implemented extended version tive Common Lisp.º A number of automated reasoning of Boyer and Moore's Nqthm and Kaufmann's Pc-Nqthm, systems now exist, as we discuss below (Subsection 1.1). In intended for large scale veri®cation projects. This paper this paper we describe ACL2's offerings to the user for con- deals primarily with how we scaled up Nqthm's logic to an venientªindustrial-strengthºuse. WebegininSection2with ªindustrial strengthº programming language Ð namely, a a history of theACL2 project. Next, Section 3 describes the large applicative subset of Common Lisp Ð while preserv- logic supportedby ACL2, which has been designed for con- ing the use of total functions within the logic. -
Towards a Portable and Mobile Scheme Interpreter
Towards a Portable and Mobile Scheme Interpreter Adrien Pi´erard Marc Feeley Universit´eParis 6 Universit´ede Montr´eal [email protected] [email protected] Abstract guage. Because Mobit implements R4RS Scheme [6], we must also The transfer of program data between the nodes of a distributed address the serialization of continuations. Our main contribution is system is a fundamental operation. It usually requires some form the demonstration of how this can be done while preserving thein- of data serialization. For a functional language such as Scheme it is terpreter’s maintainability and with local changes to the original in- clearly desirable to also allow the unrestricted transfer offunctions terpreter’s structure, mainly through the use of unhygienicmacros. between nodes. With the goal of developing a portable implemen- We start by giving an overview of the pertinent features of the tation of the Termite system we have designed the Mobit Scheme Termite dialect of Scheme. In Section 3 we explain the structure interpreter which supports unrestricted serialization of Scheme ob- of the interpreter on which Mobit is based. Object serialization is jects, including procedures and continuations. Mobit is derived discussed in Section 4. Section 5 compares Mobit’s performance from an existing Scheme in Scheme fast interpreter. We demon- with other interpreters. We conclude with related and futurework. strate how macros were valuable in transforming the interpreter while preserving its structure and maintainability. Our performance 2. Termite evaluation shows that the run time speed of Mobit is comparable to Termite is a Scheme adaptation of the Erlang concurrency model. -
Mixing R with Other Languages JOHN D
Mixing R with other languages JOHN D. COOK, PHD SINGULAR VALUE CONSULTING Why R? Libraries, libraries, libraries De facto standard for statistical research Nice language, as far as statistical languages go “Quirky, flawed, and an enormous success.” Why mix languages? Improve performance of R code Execution speed (e.g. loops) Memory management Raid R’s libraries How to optimize R Vectorize Rewrite not using R A few R quirks Everything is a vector Everything can be null or NA Unit-offset vectors Zero index legal but strange Negative indices remove elements Matrices filled by column by default $ acts like dot, dot not special C package interface Must manage low-level details of R object model and memory Requires Rtools on Windows Lots of macros like REALSXP, PROTECT, and UNPROTECT Use C++ (Rcpp) instead “I do not recommend using C for writing new high-performance code. Instead write C++ with Rcpp.” – Hadley Wickham Rcpp The most widely used extension method for R Call C, C++, or Fortran from R Companion project RInside to call R from C++ Extensive support even for advanced C++ Create R packages or inline code http://rcpp.org Dirk Eddelbuettel’s book Simple Rcpp example library(Rcpp) cppFunction('int add(int x, int y, int z) { int sum = x + y + z; return sum; }') add(1, 2, 3) .NET RDCOM http://sunsite.univie.ac.at/rcom/ F# type provider for R http://bluemountaincapital.github.io/FSharpRProvider/ R.NET https://rdotnet.codeplex.com/ SQL Server 2016 execute sp_execute_external_script @language = N'R' , @script = -
Eindhoven University of Technology MASTER Extracting GXF Models
Eindhoven University of Technology MASTER Extracting GXF models from C code towards LIME-ng tool-chain for dtaflow models Deshpande, A.S. Award date: 2010 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain Extracting GXF Models from C Code: towards LIME - next generation for Dataflow Models Aditya S. Deshpande August 2010 TECHNISCHE UNIVERSITEIT EINDHOVEN Department of Mathematics & Computer Science Software Engineering & Technology Master Thesis Extracting GXF Models from C Code towards LIME-ng Tool-chain for Dataflow models by Aditya S. Deshpande (0728718) Supervisors: dr. ir. Tom Verhoeff Pjotr Kourzanov, ir. Yanja Dajsuren, PDEng. August 2010 Preview This thesis introduces the LIME - next generation (LIME-ng) toolchain. -
Fully-Parameterized, First-Class Modules with Hygienic Macros
Fully-parameterized, First-class Modules with Hygienic Macros Dissertation der Fakult¨at fur¨ Informations- und Kognitionswissenschaften der Eberhard-Karls-Universit¨at Tubingen¨ zur Erlangung des Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) vorgelegt von Dipl.-Inform. Josef Martin Gasbichler aus Biberach/Riß Tubingen¨ 2006 Tag der mundlichen¨ Qualifikation: 15. 02. 2006 Dekan: Prof. Dr. Michael Diehl 1. Berichterstatter: Prof. Dr. Herbert Klaeren 2. Berichterstatter: Prof. Dr. Peter Thiemann (Universit¨at Freiburg) Abstract It is possible to define a formal semantics for configuration, elaboration, linking, and evaluation of fully-parameterized first-class modules with hygienic macros, independent compilation, and code sharing. This dissertation defines such a semantics making use of explicit substitution to formalize hygienic expansion and linking. In the module system, interfaces define the static semantics of modules and include the definitions of exported macros. This enables full parameterization and independent compilation of modules even in the presence of macros. Thus modules are truly exchangeable components of the program. The basis for the module system is an operational semantics for hygienic macro expansion—computational macros as well as rewriting-based macros. The macro semantics provides deep insight into the nature of hygienic macro expansion through the use of explicit substitutions instead of conventional renaming techniques. The semantics also includes the formal description of Macro Scheme, the meta-language used for evaluating computational macros. Zusammenfassung Es ist m¨oglich, eine formale Semantik anzugeben, welche die Phasen Konfiguration, syntak- tische Analyse mit Makroexpansion, Linken und Auswertung fur¨ ein vollparametrisiertes Mo- dulsystem mit Modulen als Werten erster Klasse, unabh¨angiger Ubersetzung¨ und Code-Sharing beschreibt. -
The Embeddable Common Lisp
ACM Lisp Pointers 8(1), 1995, 30-41 The Embeddable Common Lisp Giuseppe Attardi Dipartimento di Informatica, Universit`adi Pisa Corso Italia 40, I-56125 Pisa, Italy net: [email protected] Abstract The Embeddable Common Lisp is an implementation of Common Lisp designed for being embeddable within C based applications. ECL uses standard C calling conventions for Lisp compiled functions, which allows C programs to easily call Lisp functions and viceversa. No foreign function interface is required: data can be exchanged between C and Lisp with no need for conversion. ECL is based on a Common Runtime Support (CRS) which provides basic facilities for memory management, dynamic loading and dumping of binary images, support for multiple threads of execution. The CRS is built into a library that can be linked with the code of the application. ECL is modular: main modules are the program development tools (top level, debugger, trace, stepper), the compiler, and CLOS. A native implementation of CLOS is available in ECL: one can configure ECL with or without CLOS. A runtime version of ECL can be built with just the modules which are required by the application. 1 Introduction As applications become more elaborate, the facilities required to build them grow in number and sophistica- tion. Each facility is accessed through a specific package, quite complex itself, like in the cases of: modeling, simulation, graphics, hypertext facilities, data base management, numerical analysis, deductive capabilities, concurrent programming, heuristic search, symbolic manipulation, language analysis, special device control. Reusability is quite a significant issue: once a package has been developed, tested and debugged, it is un- desirable having to rewrite it in a different language just because the application is based in such other language. -
Ants Go Marching—Integrating Computer Science Into Teacher Professional Development with Netlogo
education sciences Article Ants Go Marching—Integrating Computer Science into Teacher Professional Development with NetLogo Mike Borowczak 1,* and Andrea C. Burrows 2 1 Department of Computer Science, College of Engineering and Applied Science, University of Wyoming, 1000 E University Ave, Laramie, WY 82071, USA 2 School of Teacher Education, College of Education, University of Wyoming, 1000 E University Ave, Laramie, WY 82071, USA; [email protected] * Correspondence: [email protected] Received: 1 February 2019; Accepted: 20 March 2019; Published: 26 March 2019 Abstract: There is a clear call for pre-collegiate students in the United States to become literate in computer science (CS) concepts and practices through integrated, authentic experiences and instruction. Yet, a majority of in-service and pre-service pre-collegiate teachers (instructing children aged five to 18) lack the fundamental skills and self-efficacy to adequately and effectively integrate CS into existing curricula. In this study, 30 pre-collegiate teachers who represent a wide band of experience, grade-levels, and prior CS familiarity participated in a 16-day professional development (PD) course to enhance their content knowledge and self-efficacy in integrating CS into existing lessons and curricula. Using both qualitative and quantitative methodology, a social constructivist approach guided the researchers in the development of the PD, as well as the data collection and analysis on teacher content knowledge and perceptions through a mixed-methods study. Ultimately, participants were introduced to CS concepts and practices through NetLogo, which is a popular multi-agent simulator. The results show that although the pre-collegiate teachers adopted CS instruction, the CS implementation within their curricula was limited to the activities and scope of the PD with few adaptations and minimal systemic change in implementation behaviors. -
This Is the Author's Version of a Work Accepted for Publication by Elsevier
NOTICE: This is the author’s version of a work accepted for publication by Elsevier. Changes resulting from the publishing process, including peer review, editing, corrections, structural formatting and other quality control mechanisms, may not be reflected in this document. A definitive version was subsequently published in the Journal of Systems and Software, Volume 86, Issue 2, pp. 278-301, February 2013. Efficient Support of Dynamic Inheritance for Class- and Prototype-based Languages Jose Manuel Redondo, Francisco Ortin University of Oviedo, Computer Science Department, Calvo Sotelo s/n, 33007, Oviedo, Spain Abstract Dynamically typed languages are becoming increasingly popular for different software devel- opment scenarios where runtime adaptability is important. Therefore, existing class-based plat- forms such as Java and .NET have been gradually incorporating dynamic features to support the execution of these languages. The implementations of dynamic languages on these platforms com- monly generate an extra layer of software over the virtual machine, which reproduces the reflective prototype-based object model provided by most dynamic languages. Simulating this model fre- quently involves a runtime performance penalty, and makes the interoperation between class- and prototype-based languages difficult. Instead of simulating the reflective model of dynamic languages, our approach has been to extend the object-model of an efficient class-based virtual machine with prototype-based seman- tics, so that it can directly support both kinds of languages. Consequently, we obtain the runtime performance improvement of using the virtual machine JIT compiler, while a direct interoperation between languages compiled to our platform is also possible. In this paper, we formalize dynamic inheritance for both class- and prototype-based languages, and implement it as an extension of an efficient virtual machine that performs JIT compilation. -
23 Things I Know About Modules for Scheme
23 things I know about modules for Scheme Christian Queinnec Université Paris 6 — Pierre et Marie Curie LIP6, 4 place Jussieu, 75252 Paris Cedex — France [email protected] ABSTRACT difficult to deliver (or even rebuild) stand-alone systems. The benefits of modularization are well known. However, Interfaces as collection of names — If modules are about shar- modules are not standard in Scheme. This paper accompanies ing, what should be shared ? Values, locations (that is an invited talk at the Scheme Workshop 2002 on the current variables), types, classes (and their cortege` of accessors, state of modules for Scheme. Implementation is not addressed, constructors and predicates) ? only linguistic features are covered. Cave lector, this paper only reflects my own and instanta- The usual answer in Scheme is to share locations with neous biases! (quite often) two additional properties: (i) these loca- tions can only be mutated from the body of their defin- ing modules (this favors block compilation), (ii) they 1. MODULES should hold functions (and this should be statically (and The benefits of modularization within conventional languages easily) discoverable). This restricts linking with other are well known. Modules dissociate interfaces and implemen- (foreign) languages that may export locations holding tations; they allow separate compilation (or at least indepen- non-functional data (the errno location for instance). dent compilation a` la C). Modules tend to favor re-usability, This is not a big restriction since modern interfaces (Corba common libraries and cross language linkage. for example) tend to exclusively use functions (or meth- Modules discipline name spaces with explicit names expo- ods). -
A Tractable Scheme Implementation
LISP AND SYMBOLIC COMPUTATION:An International Journal, 7, 315-335 (1994) © 1994 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. A Tractable Scheme Implementation RICHARD A. KELSEY [email protected] NEC Research Institute JONATHAN A. REES [email protected] M1T and Cornell University Abstract. Scheme 48 is an implementation of the Scheme programming language constructed with tractability and reliability as its primary design goals. It has the structural properties of large, compiler-based Lisp implementations: it is written entirely in Scheme, is bootstrapped via its compiler, and provides numerous language extensions. It controls the complexity that ordinarily attends such large Lisp implementations through clear articulation of internal modularity and by the exclusion of features, optimizations, and generalizations that are of only marginal value. Keywords: byte-code interpreters, virtual machines, modularity, Scheme, partial evaluation, layered design 1. Introduction Scheme 48 is an implementation of the Scheme programming language constructed with tractability and reliability as its primary design goals. By tractability we mean the ease with which the system can be understood and changed. Although Lisp dialects, including Scheme, are relatively simple languages, implementation tractability is often threatened by the demands of providing high performance and extended functionality. The Scheme 48 project was initiated in order to experiment with techniques for main- taining implementation tractability in the face of countervailing pressures and to find out what tradeoffs were involved in doing so. (The project was originally an experiment to see if a Scheme implementation could be written in a single weekend; the 48 refers to forty-eight hours.) Small Lisp implementations are usually tractable merely by virtue of being small; it is usually possible for an experienced programmer to read and understand the entire source program in a few days.