The Evolution of Lua
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Programming Languages
Programming Languages Recitation Summer 2014 Recitation Leader • Joanna Gilberti • Email: [email protected] • Office: WWH, Room 328 • Web site: http://cims.nyu.edu/~jlg204/courses/PL/index.html Homework Submission Guidelines • Submit all homework to me via email (at [email protected] only) on the due date. • Email subject: “PL– homework #” (EXAMPLE: “PL – Homework 1”) • Use file naming convention on all attachments: “firstname_lastname_hw_#” (example: "joanna_gilberti_hw_1") • In the case multiple files are being submitted, package all files into a ZIP file, and name the ZIP file using the naming convention above. What’s Covered in Recitation • Homework Solutions • Questions on the homeworks • For additional questions on assignments, it is best to contact me via email. • I will hold office hours (time will be posted on the recitation Web site) • Run sample programs that demonstrate concepts covered in class Iterative Languages Scoping • Sample Languages • C: static-scoping • Perl: static and dynamic-scoping (use to be only dynamic scoping) • Both gcc (to run C programs), and perl (to run Perl programs) are installed on the cims servers • Must compile the C program with gcc, and then run the generated executable • Must include the path to the perl executable in the perl script Basic Scope Concepts in C • block scope (nested scope) • run scope_levels.c (sl) • ** block scope: set of statements enclosed in braces {}, and variables declared within a block has block scope and is active and accessible from its declaration to the end of the block -
Armadillo C++ Library
Armadillo: a template-based C++ library for linear algebra Conrad Sanderson and Ryan Curtin Abstract The C++ language is often used for implementing functionality that is performance and/or resource sensitive. While the standard C++ library provides many useful algorithms (such as sorting), in its current form it does not provide direct handling of linear algebra (matrix maths). Armadillo is an open source linear algebra library for the C++ language, aiming towards a good balance between speed and ease of use. Its high-level application programming interface (function syntax) is deliberately similar to the widely used Matlab and Octave languages [4], so that mathematical operations can be expressed in a familiar and natural manner. The library is useful for algorithm development directly in C++, or relatively quick conversion of research code into production environments. Armadillo provides efficient objects for vectors, matrices and cubes (third order tensors), as well as over 200 associated functions for manipulating data stored in the objects. Integer, floating point and complex numbers are supported, as well as dense and sparse storage formats. Various matrix factorisations are provided through integration with LAPACK [3], or one of its high performance drop-in replacements such as Intel MKL [6] or OpenBLAS [9]. It is also possible to use Armadillo in conjunction with NVBLAS to obtain GPU-accelerated matrix multiplication [7]. Armadillo is used as a base for other open source projects, such as MLPACK, a C++ library for machine learning and pattern recognition [2], and RcppArmadillo, a bridge between the R language and C++ in order to speed up computations [5]. -
Chapter 5 Names, Bindings, and Scopes
Chapter 5 Names, Bindings, and Scopes 5.1 Introduction 198 5.2 Names 199 5.3 Variables 200 5.4 The Concept of Binding 203 5.5 Scope 211 5.6 Scope and Lifetime 222 5.7 Referencing Environments 223 5.8 Named Constants 224 Summary • Review Questions • Problem Set • Programming Exercises 227 CMPS401 Class Notes (Chap05) Page 1 / 20 Dr. Kuo-pao Yang Chapter 5 Names, Bindings, and Scopes 5.1 Introduction 198 Imperative languages are abstractions of von Neumann architecture – Memory: stores both instructions and data – Processor: provides operations for modifying the contents of memory Variables are characterized by a collection of properties or attributes – The most important of which is type, a fundamental concept in programming languages – To design a type, must consider scope, lifetime, type checking, initialization, and type compatibility 5.2 Names 199 5.2.1 Design issues The following are the primary design issues for names: – Maximum length? – Are names case sensitive? – Are special words reserved words or keywords? 5.2.2 Name Forms A name is a string of characters used to identify some entity in a program. Length – If too short, they cannot be connotative – Language examples: . FORTRAN I: maximum 6 . COBOL: maximum 30 . C99: no limit but only the first 63 are significant; also, external names are limited to a maximum of 31 . C# and Java: no limit, and all characters are significant . C++: no limit, but implementers often impose a length limitation because they do not want the symbol table in which identifiers are stored during compilation to be too large and also to simplify the maintenance of that table. -
Introduction to Programming in Lisp
Introduction to Programming in Lisp Supplementary handout for 4th Year AI lectures · D W Murray · Hilary 1991 1 Background There are two widely used languages for AI, viz. Lisp and Prolog. The latter is the language for Logic Programming, but much of the remainder of the work is programmed in Lisp. Lisp is the general language for AI because it allows us to manipulate symbols and ideas in a commonsense manner. Lisp is an acronym for List Processing, a reference to the basic syntax of the language and aim of the language. The earliest list processing language was in fact IPL developed in the mid 1950’s by Simon, Newell and Shaw. Lisp itself was conceived by John McCarthy and students in the late 1950’s for use in the newly-named field of artificial intelligence. It caught on quickly in MIT’s AI Project, was implemented on the IBM 704 and by 1962 to spread through other AI groups. AI is still the largest application area for the language, but the removal of many of the flaws of early versions of the language have resulted in its gaining somewhat wider acceptance. One snag with Lisp is that although it started out as a very pure language based on mathematic logic, practical pressures mean that it has grown. There were many dialects which threaten the unity of the language, but recently there was a concerted effort to develop a more standard Lisp, viz. Common Lisp. Other Lisps you may hear of are FranzLisp, MacLisp, InterLisp, Cambridge Lisp, Le Lisp, ... Some good things about Lisp are: • Lisp is an early example of an interpreted language (though it can be compiled). -
Ajuba Solutions Version 1.4 COPYRIGHT Copyright © 1998-2000 Ajuba Solutions Inc
• • • • • • Ajuba Solutions Version 1.4 COPYRIGHT Copyright © 1998-2000 Ajuba Solutions Inc. All rights reserved. Information in this document is subject to change without notice. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means electronic or mechanical, including but not limited to photocopying or recording, for any purpose other than the purchaser’s personal use, without the express written permission of Ajuba Solutions Inc. Ajuba Solutions Inc. 2593 Coast Avenue Mountain View, CA 94043 U.S.A http://www.ajubasolutions.com TRADEMARKS TclPro and Ajuba Solutions are trademarks of Ajuba Solutions Inc. Other products and company names not owned by Ajuba Solutions Inc. that appear in this manual may be trademarks of their respective owners. ACKNOWLEDGEMENTS Michael McLennan is the primary developer of [incr Tcl] and [incr Tk]. Jim Ingham and Lee Bernhard handled the Macintosh and Windows ports of [incr Tcl] and [incr Tk]. Mark Ulferts is the primary developer of [incr Widgets], with other contributions from Sue Yockey, John Sigler, Bill Scott, Alfredo Jahn, Bret Schuhmacher, Tako Schotanus, and Kris Raney. Mark Diekhans and Karl Lehenbauer are the primary developers of Extended Tcl (TclX). Don Libes is the primary developer of Expect. TclPro Wrapper incorporates compression code from the Info-ZIP group. There are no extra charges or costs in TclPro due to the use of this code, and the original compression sources are freely available from http://www.cdrom.com/pub/infozip or ftp://ftp.cdrom.com/pub/infozip. NOTE: TclPro is packaged on this CD using Info-ZIP’s compression utility. -
Ercatons and Organic Programming: Say Good-Bye to Planned Economy
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Dagstuhl Research Online Publication Server Ercatons and Organic Programming: Say Good-Bye to Planned Economy Oliver Imbusch, Falk Langhammer and Guido von Walter Living Pages Research GmbH Kolosseumstrasse 1a, 80469 Munich, Germany {flabes|falk|guido}@livis.com ABSTRACT 1. Motivation Organic programming (OP) is our proposed and already We are going to present an alternative way to develop soft- emerging programming model which overcomes some of ware. We followed this idea starting from some general the limitations of current practice in software development observations all the way down to a reference implementa- in general and of object-oriented programming (OOP) in tion which was then used in projects of sufficient size. This particular. Ercatons provide an implementation of the makes us trust into the initial idea to the point that we may model. In some respects, OP is less than a (new) program- now be obsessed by it. Let us start by sharing some of the ming language, in others, it is more. An “ercato machine” general observations. implements the ideas discussed and has been used to vali- We start with this trivial anecdote. date the concepts described here. “One morning, we noticed some workers tile our office's Organic programming is centered around the concept of a backyard. The day before, piles of square tiles had been true “Thing”. A thing in an executing software system is delivered and the workers now seemed to make good prog- bound to behave the way an autonomous object does in our ress covering the backyard's middle section. -
Cygwin User's Guide
Cygwin User’s Guide Cygwin User’s Guide ii Copyright © Cygwin authors Permission is granted to make and distribute verbatim copies of this documentation provided the copyright notice and this per- mission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this documentation under the conditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this documentation into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the Free Software Foundation. Cygwin User’s Guide iii Contents 1 Cygwin Overview 1 1.1 What is it? . .1 1.2 Quick Start Guide for those more experienced with Windows . .1 1.3 Quick Start Guide for those more experienced with UNIX . .1 1.4 Are the Cygwin tools free software? . .2 1.5 A brief history of the Cygwin project . .2 1.6 Highlights of Cygwin Functionality . .3 1.6.1 Introduction . .3 1.6.2 Permissions and Security . .3 1.6.3 File Access . .3 1.6.4 Text Mode vs. Binary Mode . .4 1.6.5 ANSI C Library . .4 1.6.6 Process Creation . .5 1.6.6.1 Problems with process creation . .5 1.6.7 Signals . .6 1.6.8 Sockets . .6 1.6.9 Select . .7 1.7 What’s new and what changed in Cygwin . .7 1.7.1 What’s new and what changed in 3.2 . -
Scripting: Higher- Level Programming for the 21St Century
. John K. Ousterhout Sun Microsystems Laboratories Scripting: Higher- Cybersquare Level Programming for the 21st Century Increases in computer speed and changes in the application mix are making scripting languages more and more important for the applications of the future. Scripting languages differ from system programming languages in that they are designed for “gluing” applications together. They use typeless approaches to achieve a higher level of programming and more rapid application development than system programming languages. or the past 15 years, a fundamental change has been ated with system programming languages and glued Foccurring in the way people write computer programs. together with scripting languages. However, several The change is a transition from system programming recent trends, such as faster machines, better script- languages such as C or C++ to scripting languages such ing languages, the increasing importance of graphical as Perl or Tcl. Although many people are participat- user interfaces (GUIs) and component architectures, ing in the change, few realize that the change is occur- and the growth of the Internet, have greatly expanded ring and even fewer know why it is happening. This the applicability of scripting languages. These trends article explains why scripting languages will handle will continue over the next decade, with more and many of the programming tasks in the next century more new applications written entirely in scripting better than system programming languages. languages and system programming -
Scala Tutorial
Scala Tutorial SCALA TUTORIAL Simply Easy Learning by tutorialspoint.com tutorialspoint.com i ABOUT THE TUTORIAL Scala Tutorial Scala is a modern multi-paradigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way. Scala has been created by Martin Odersky and he released the first version in 2003. Scala smoothly integrates features of object-oriented and functional languages. This tutorial gives a great understanding on Scala. Audience This tutorial has been prepared for the beginners to help them understand programming Language Scala in simple and easy steps. After completing this tutorial, you will find yourself at a moderate level of expertise in using Scala from where you can take yourself to next levels. Prerequisites Scala Programming is based on Java, so if you are aware of Java syntax, then it's pretty easy to learn Scala. Further if you do not have expertise in Java but you know any other programming language like C, C++ or Python, then it will also help in grasping Scala concepts very quickly. Copyright & Disclaimer Notice All the content and graphics on this tutorial are the property of tutorialspoint.com. Any content from tutorialspoint.com or this tutorial may not be redistributed or reproduced in any way, shape, or form without the written permission of tutorialspoint.com. Failure to do so is a violation of copyright laws. This tutorial may contain inaccuracies or errors and tutorialspoint provides no guarantee regarding the accuracy of the site or its contents including this tutorial. If you discover that the tutorialspoint.com site or this tutorial content contains some errors, please contact us at [email protected] TUTORIALS POINT Simply Easy Learning Table of Content Scala Tutorial .......................................................................... -
Automating Your Sync Testing
APPLICATION NOTE By automating system verification and conformance testing to ITU-T synchronization standards, you’ll save on time and resources, and avoid potential test execution errors. This application note describes how you can use the Paragon-X’s Script Recorder to easily record Tcl, PERL and Python commands that can be integrated into your own test scripts for fast and efficient automated testing. AUTOMATING YOUR SYNC TESTING calnexsol.com Easily automate synchronization testing using the Paragon-X Fast and easy automation by Supports the key test languages Pre-prepared G.8262 Conformance recording GUI key presses Tcl, PERL and Python Scripts reduces test execution errors <Tcl> <PERL> <python> If you perform System Verification language you want to record i.e. Tcl, PERL SyncE CONFORMANCE TEST and Conformance Testing to ITU-T or Python, then select Start. synchronization standards on a regular Calnex provides Conformance Test Scripts basis, you’ll know that manual operation to ITU-T G.8262 for SyncE conformance of these tests can be time consuming, testing using the Paragon-X. These tedious and prone to operator error — as test scripts can also be easily tailored well as tying up much needed resources. and edited to meet your exact test Automation is the answer but very often requirements. This provides an easy means a lack of time and resource means it of getting your test automation up and remains on the ‘To do’ list. Now, with running and providing a repeatable means Calnex’s new Script Recorder feature, you of proving performance, primarily for ITU-T can get your automation up and running standards conformance. -
Building Performance Measurement Tools for the MINIX 3 Operating System
Building Performance Measurement Tools for the MINIX 3 Operating System Rogier Meurs August 2006 Contents 1 INTRODUCTION 1 1.1 Measuring Performance 1 1.2 MINIX 3 2 2 STATISTICAL PROFILING 3 2.1 Introduction 3 2.2 In Search of a Timer 3 2.2.1 i8259 Timers 3 2.2.2 CMOS Real-Time Clock 3 2.3 High-level Description 4 2.4 Work Done in User-Space 5 2.4.1 The SPROFILE System Call 5 2.5 Work Done in Kernel-Space 5 2.5.1 The SPROF Kernel Call 5 2.5.2 Profiling using the CMOS Timer Interrupt 6 2.6 Work Done at the Application Level 7 2.6.1 Control Tool: profile 7 2.6.2 Analyzing Tool: sprofalyze.pl 7 2.7 What Can and What Cannot be Profiled 8 2.8 Profiling Results 8 2.8.1 High Scoring IPC Functions 8 2.8.2 Interrupt Delay 9 2.8.3 Profiling Runs on Simulator and Other CPU Models 12 2.9 Side-effect of Using the CMOS Clock 12 3 CALL PROFILING 13 3.1 Introduction 13 3.1.1 Compiler-supported Call Profiling 13 3.1.2 Call Paths, Call and Cycle Attribution 13 3.2 High-level Description 14 3.3 Work Done in User-Space 15 3.3.1 The CPROFILE System Call 15 3.4 Work Done in Kernel-Space 16 3.4.1 The PROFBUF and CPROF Kernel Calls 16 3.5 Work Done in Libraries 17 3.5.1 Profiling Using Library Functions 17 3.5.2 The Procentry Library Function 17 3.5.3 The Procexit Library Function 20 3.5.4 The Call Path String 22 3.5.5 Testing Overhead Elimination 23 3.6 Profiling Kernel-Space/User-Space Processes 24 3.6.1 Differences in Announcing and Table Sizes 24 3.6.2 Kernel-Space Issue: Reentrancy 26 3.6.3 Kernel-Space Issue: The Call Path 26 3.7 Work Done at the Application -
Understanding the Syntactic Rule Usage in Java
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by UCL Discovery Understanding the Syntactic Rule Usage in Java Dong Qiua, Bixin Lia,∗, Earl T. Barrb, Zhendong Suc aSchool of Computer Science and Engineering, Southeast University, China bDepartment of Computer Science, University College London, UK cDepartment of Computer Science, University of California Davis, USA Abstract Context: Syntax is fundamental to any programming language: syntax defines valid programs. In the 1970s, computer scientists rigorously and empirically studied programming languages to guide and inform language design. Since then, language design has been artistic, driven by the aesthetic concerns and intuitions of language architects. Despite recent studies on small sets of selected language features, we lack a comprehensive, quantitative, empirical analysis of how modern, real-world source code exercises the syntax of its programming language. Objective: This study aims to understand how programming language syntax is employed in actual development and explore their potential applications based on the results of syntax usage analysis. Method: We present our results on the first such study on Java, a modern, mature, and widely-used programming language. Our corpus contains over 5,000 open-source Java projects, totalling 150 million source lines of code (SLoC). We study both independent (i.e. applications of a single syntax rule) and dependent (i.e. applications of multiple syntax rules) rule usage, and quantify their impact over time and project size. Results: Our study provides detailed quantitative information and yields insight, particularly (i) confirming the conventional wisdom that the usage of syntax rules is Zipfian; (ii) showing that the adoption of new rules and their impact on the usage of pre-existing rules vary significantly over time; and (iii) showing that rule usage is highly contextual.