Functional Perl: Programming with Recursion Schemes in Python
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X10 Language Specification
X10 Language Specification Version 2.6.2 Vijay Saraswat, Bard Bloom, Igor Peshansky, Olivier Tardieu, and David Grove Please send comments to [email protected] January 4, 2019 This report provides a description of the programming language X10. X10 is a class- based object-oriented programming language designed for high-performance, high- productivity computing on high-end computers supporting ≈ 105 hardware threads and ≈ 1015 operations per second. X10 is based on state-of-the-art object-oriented programming languages and deviates from them only as necessary to support its design goals. The language is intended to have a simple and clear semantics and be readily accessible to mainstream OO pro- grammers. It is intended to support a wide variety of concurrent programming idioms. The X10 design team consists of David Grove, Ben Herta, Louis Mandel, Josh Milthorpe, Vijay Saraswat, Avraham Shinnar, Mikio Takeuchi, Olivier Tardieu. Past members include Shivali Agarwal, Bowen Alpern, David Bacon, Raj Barik, Ganesh Bikshandi, Bob Blainey, Bard Bloom, Philippe Charles, Perry Cheng, David Cun- ningham, Christopher Donawa, Julian Dolby, Kemal Ebcioglu,˘ Stephen Fink, Robert Fuhrer, Patrick Gallop, Christian Grothoff, Hiroshi Horii, Kiyokuni Kawachiya, Al- lan Kielstra, Sreedhar Kodali, Sriram Krishnamoorthy, Yan Li, Bruce Lucas, Yuki Makino, Nathaniel Nystrom, Igor Peshansky, Vivek Sarkar, Armando Solar-Lezama, S. Alexander Spoon, Toshio Suganuma, Sayantan Sur, Toyotaro Suzumura, Christoph von Praun, Leena Unnikrishnan, Pradeep Varma, Krishna Nandivada Venkata, Jan Vitek, Hai Chuan Wang, Tong Wen, Salikh Zakirov, and Yoav Zibin. For extended discussions and support we would like to thank: Gheorghe Almasi, Robert Blackmore, Rob O’Callahan, Calin Cascaval, Norman Cohen, Elmootaz El- nozahy, John Field, Kevin Gildea, Sara Salem Hamouda, Michihiro Horie, Arun Iyen- gar, Chulho Kim, Orren Krieger, Doug Lea, John McCalpin, Paul McKenney, Hiroki Murata, Andrew Myers, Filip Pizlo, Ram Rajamony, R. -
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 . -
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 -
Exploring Languages with Interpreters and Functional Programming Chapter 22
Exploring Languages with Interpreters and Functional Programming Chapter 22 H. Conrad Cunningham 5 November 2018 Contents 22 Overloading and Type Classes 2 22.1 Chapter Introduction . .2 22.2 Polymorphism in Haskell . .2 22.3 Why Overloading? . .2 22.4 Defining an Equality Class and Its Instances . .4 22.5 Type Class Laws . .5 22.6 Another Example Class Visible ..................5 22.7 Class Extension (Inheritance) . .6 22.8 Multiple Constraints . .7 22.9 Built-In Haskell Classes . .8 22.10Comparison to Other Languages . .8 22.11What Next? . .9 22.12Exercises . 10 22.13Acknowledgements . 10 22.14References . 11 22.15Terms and Concepts . 11 Copyright (C) 2017, 2018, H. Conrad Cunningham Professor of Computer and Information Science University of Mississippi 211 Weir Hall P.O. Box 1848 University, MS 38677 (662) 915-5358 Browser Advisory: The HTML version of this textbook requires use of a browser that supports the display of MathML. A good choice as of November 2018 is a recent version of Firefox from Mozilla. 1 22 Overloading and Type Classes 22.1 Chapter Introduction Chapter 5 introduced the concept of overloading. Chapters 13 and 21 introduced the related concepts of type classes and instances. The goal of this chapter and the next chapter is to explore these concepts in more detail. The concept of type class was introduced into Haskell to handle the problem of comparisons, but it has had a broader and more profound impact upon the development of the language than its original purpose. This Haskell feature has also had a significant impact upon the design of subsequent languages (e.g. -
Teach Yourself Perl 5 in 21 Days
Teach Yourself Perl 5 in 21 days David Till Table of Contents: Introduction ● Who Should Read This Book? ● Special Features of This Book ● Programming Examples ● End-of-Day Q& A and Workshop ● Conventions Used in This Book ● What You'll Learn in 21 Days Week 1 Week at a Glance ● Where You're Going Day 1 Getting Started ● What Is Perl? ● How Do I Find Perl? ❍ Where Do I Get Perl? ❍ Other Places to Get Perl ● A Sample Perl Program ● Running a Perl Program ❍ If Something Goes Wrong ● The First Line of Your Perl Program: How Comments Work ❍ Comments ● Line 2: Statements, Tokens, and <STDIN> ❍ Statements and Tokens ❍ Tokens and White Space ❍ What the Tokens Do: Reading from Standard Input ● Line 3: Writing to Standard Output ❍ Function Invocations and Arguments ● Error Messages ● Interpretive Languages Versus Compiled Languages ● Summary ● Q&A ● Workshop ❍ Quiz ❍ Exercises Day 2 Basic Operators and Control Flow ● Storing in Scalar Variables Assignment ❍ The Definition of a Scalar Variable ❍ Scalar Variable Syntax ❍ Assigning a Value to a Scalar Variable ● Performing Arithmetic ❍ Example of Miles-to-Kilometers Conversion ❍ The chop Library Function ● Expressions ❍ Assignments and Expressions ● Other Perl Operators ● Introduction to Conditional Statements ● The if Statement ❍ The Conditional Expression ❍ The Statement Block ❍ Testing for Equality Using == ❍ Other Comparison Operators ● Two-Way Branching Using if and else ● Multi-Way Branching Using elsif ● Writing Loops Using the while Statement ● Nesting Conditional Statements ● Looping Using -
Difference Between Perl and Python Key Difference
Difference Between Perl and Python www.differencebetween.com Key Difference - Perl vs Python A computer program provides instructions for a computer to perform tasks. A set of instructions is known as a computer program. A computer program is developed using a programming language. High-level languages are understandable by programmers but not understandable by the computer. Therefore, those programs are converted to machine-understandable format. Perl and Python are two high-level programming languages. Perl has features such as built-in regular expressions, file scanning and report generation. Python provides support for common programming methodologies such as data structures, algorithms etc. The key difference between Perl and Python is that Perl emphasizes support for common application-oriented tasks while Python emphasizes support for common programming methodologies. What is Perl? Perl is general purpose high-level programing language. It was designed by Larry Wall. Perl stands for Practical Extraction and Reporting Language. It is open source and is useful for text manipulation. Perl runs on various platforms such as Windows, Mac, Linux etc. It is a multi-paradigm language that supports mainly procedural programming and object-oriented programming. Procedure Programming helps to divide the program into functions. Object Oriented programming helps to model a software or a program using objects. Perl is an interpreted language. Therefore, each line is read one after the other by the interpreter. High-level language programs are understandable by the programmer, but they are not understandable by the machine. Therefore, the instructions should be converted into the machine-understandable format. Programming languages such as C and C++ converts the source code to machine language using a compiler. -
On the Interaction of Object-Oriented Design Patterns and Programming
On the Interaction of Object-Oriented Design Patterns and Programming Languages Gerald Baumgartner∗ Konstantin L¨aufer∗∗ Vincent F. Russo∗∗∗ ∗ Department of Computer and Information Science The Ohio State University 395 Dreese Lab., 2015 Neil Ave. Columbus, OH 43210–1277, USA [email protected] ∗∗ Department of Mathematical and Computer Sciences Loyola University Chicago 6525 N. Sheridan Rd. Chicago, IL 60626, USA [email protected] ∗∗∗ Lycos, Inc. 400–2 Totten Pond Rd. Waltham, MA 02154, USA [email protected] February 29, 1996 Abstract Design patterns are distilled from many real systems to catalog common programming practice. However, some object-oriented design patterns are distorted or overly complicated because of the lack of supporting programming language constructs or mechanisms. For this paper, we have analyzed several published design patterns looking for idiomatic ways of working around constraints of the implemen- tation language. From this analysis, we lay a groundwork of general-purpose language constructs and mechanisms that, if provided by a statically typed, object-oriented language, would better support the arXiv:1905.13674v1 [cs.PL] 31 May 2019 implementation of design patterns and, transitively, benefit the construction of many real systems. In particular, our catalog of language constructs includes subtyping separate from inheritance, lexically scoped closure objects independent of classes, and multimethod dispatch. The proposed constructs and mechanisms are not radically new, but rather are adopted from a variety of languages and programming language research and combined in a new, orthogonal manner. We argue that by describing design pat- terns in terms of the proposed constructs and mechanisms, pattern descriptions become simpler and, therefore, accessible to a larger number of language communities. -
An Analysis of the Dynamic Behavior of Javascript Programs
An Analysis of the Dynamic Behavior of JavaScript Programs Gregor Richards Sylvain Lebresne Brian Burg Jan Vitek S3 Lab, Department of Computer Science, Purdue University, West Lafayette, IN fgkrichar,slebresn,bburg,[email protected] Abstract becoming a general purpose computing platform with office appli- The JavaScript programming language is widely used for web cations, browsers and development environments [15] being devel- programming and, increasingly, for general purpose computing. oped in JavaScript. It has been dubbed the “assembly language” of the Internet and is targeted by code generators from the likes As such, improving the correctness, security and performance of 2;3 JavaScript applications has been the driving force for research in of Java and Scheme [20]. In response to this success, JavaScript type systems, static analysis and compiler techniques for this lan- has started to garner academic attention and respect. Researchers guage. Many of these techniques aim to reign in some of the most have focused on three main problems: security, correctness and dynamic features of the language, yet little seems to be known performance. Security is arguably JavaScript’s most pressing prob- about how programmers actually utilize the language or these fea- lem: a number of attacks have been discovered that exploit the lan- tures. In this paper we perform an empirical study of the dynamic guage’s dynamism (mostly the ability to access and modify shared behavior of a corpus of widely-used JavaScript programs, and an- objects and to inject code via eval). Researchers have proposed ap- alyze how and why the dynamic features are used. -
PHP: Constructs and Variables Introduction This Document Describes: 1
PHP: Constructs and Variables Introduction This document describes: 1. the syntax and types of variables, 2. PHP control structures (i.e., conditionals and loops), 3. mixed-mode processing, 4. how to use one script from within another, 5. how to define and use functions, 6. global variables in PHP, 7. special cases for variable types, 8. variable variables, 9. global variables unique to PHP, 10. constants in PHP, 11. arrays (indexed and associative), Brief overview of variables The syntax for PHP variables is similar to C and most other programming languages. There are three primary differences: 1. Variable names must be preceded by a dollar sign ($). 2. Variables do not need to be declared before being used. 3. Variables are dynamically typed, so you do not need to specify the type (e.g., int, float, etc.). Here are the fundamental variable types, which will be covered in more detail later in this document: • Numeric 31 o integer. Integers (±2 ); values outside this range are converted to floating-point. o float. Floating-point numbers. o boolean. true or false; PHP internally resolves these to 1 (one) and 0 (zero) respectively. Also as in C, 0 (zero) is false and anything else is true. • string. String of characters. • array. An array of values, possibly other arrays. Arrays can be indexed or associative (i.e., a hash map). • object. Similar to a class in C++ or Java. (NOTE: Object-oriented PHP programming will not be covered in this course.) • resource. A handle to something that is not PHP data (e.g., image data, database query result). -
Thinking in C++ Volume 2 Annotated Solution Guide, Available for a Small Fee From
1 z 516 Note: This document requires the installation of the fonts Georgia, Verdana and Andale Mono (code font) for proper viewing. These can be found at: http://sourceforge.net/project/showfiles.php?group_id=34153&release_id=105355 Revision 19—(August 23, 2003) Finished Chapter 11, which is now going through review and copyediting. Modified a number of examples throughout the book so that they will compile with Linux g++ (basically fixing case- sensitive naming issues). Revision 18—(August 2, 2003) Chapter 5 is complete. Chapter 11 is updated and is near completion. Updated the front matter and index entries. Home stretch now. Revision 17—(July 8, 2003) Chapters 5 and 11 are 90% done! Revision 16—(June 25, 2003) Chapter 5 text is almost complete, but enough is added to justify a separate posting. The example programs for Chapter 11 are also fairly complete. Added a matrix multiplication example to the valarray material in chapter 7. Chapter 7 has been tech-edited. Many corrections due to comments from users have been integrated into the text (thanks!). Revision 15—(March 1 ,2003) Fixed an omission in C10:CuriousSingleton.cpp. Chapters 9 and 10 have been tech-edited. Revision 14—(January ,2003) Fixed a number of fuzzy explanations in response to reader feedback (thanks!). Chapter 9 has been copy-edited. Revision 13—(December 31, 2002) Updated the exercises for Chapter 7. Finished rewriting Chapter 9. Added a template variation of Singleton to chapter 10. Updated the build directives. Fixed lots of stuff. Chapters 5 and 11 still await rewrite. Revision 12—(December 23, 2002) Added material on Design Patterns as Chapter 10 (Concurrency will move to Chapter 11). -
BSDLUA Slides (Application/Pdf
BSDLUA (in three parts) Evolved Unix Scripting Ivan Voras <[email protected]> What is BSDLUA? ● An experimental idea ● Use Lua for projects, tools, etc. which do not require C and would be more easily implemented in a scripting language ● An “in between” language – low-level features of C with integration capabilities of shell scripts Why??? ● The $1M question: what in the world would make someone program in something which is not /bin/sh ??? ● /bin/sh is the best thing since the invention of the bicycle... from the time when Unix programmers had real beards... (More specifically) ● I personally miss a “higher level” scripting language in the base system ● In the beginning there was TCL (or so I heard... it was before my time) ● The there was Perl... ● Both were thrown out – For good reasons What is wrong with shell scripts? ● Nothing … and everything ● Good sides: integration with system tools via executing programs, sourcing other scripts ● Bad sides: … somewhat depend on personal tastes … for me it's the syntax and lack of modern features ● Talking about the /bin/sh POSIX shell – more modern shells have nicer languages Why not use /bin/sh? ● (for complex programs) ● Syntax from the 1970-ies ● No local variables ● No “proper” functions (with declared arguments) ● Need to escape strings more often than what would sanely be expected ● Relies on external tools for common operations (tr, grep, join, jot, awk...) ● Too much “magic” in operation Why use Lua? (1) ● As a language: ● Nicer, modern language with lexical scoping ● Namespaces