Perl Undecidable
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Programming Languages Shouldn't and Needn't Be Turing Complete
Programming languages shouldn't and needn't be Turing complete GABRIEL PICKARD Any algorithmic problem faced by application programmers in the wild1 can in principle be solved using a Turing incomplete programming language. [Rice 1953] suggests that Turing completeness bears a heavy price, fundamentally limiting the ability of automatic assistants to help programmers be more productive, create less bugs and write safer software. Nevertheless, no mainstream general purpose programming language is Turing incomplete, with the arguable exception of SQL. We identify historical causes for this discrepancy and argue that the current moment offers better conditions for introducing Turing incompleteness. We present an approach to eliminating Turing completeness during the language design process, with several examples suitable languages targeting application development. Designers of modern practical programming languages should strongly consider evading Turing completeness and enabling better verification, security, automated testing and distributed computing. 1 CEDING POWER TO GAIN CONTROL 1.1 Turing completeness considered harmful The history of programming language design2 has been a history of removing powers which were considered harmful (cf. [Dijkstra 1966]) and replacing them with tamer, more manageable and automated constructs, including: (1) Direct access to CPU registers and instructions ! higher level compilers (2) GOTO ! structured programming (3) Manual memory management ! garbage collection (and borrow checkers) (4) Arbitrary access ! information hiding (5) Side-effects and mutability ! pure functions and persistent data structures While not all application domains benefit from all the replacement steps above3, it appears as if removing some expressive power can often enable a new kind of programming, even a new kind of application altogether. -
Turing Machines
Basics Computability Complexity Turing Machines Bruce Merry University of Cape Town 10 May 2012 Bruce Merry Turing Machines Basics Computability Complexity Outline 1 Basics Definition Building programs Turing Completeness 2 Computability Universal Machines Languages The Halting Problem 3 Complexity Non-determinism Complexity classes Satisfiability Bruce Merry Turing Machines Basics Definition Computability Building programs Complexity Turing Completeness Outline 1 Basics Definition Building programs Turing Completeness 2 Computability Universal Machines Languages The Halting Problem 3 Complexity Non-determinism Complexity classes Satisfiability Bruce Merry Turing Machines Basics Definition Computability Building programs Complexity Turing Completeness What Are Turing Machines? Invented by Alan Turing Hypothetical machines Formalise “computation” Alan Turing, 1912–1954 Bruce Merry Turing Machines If in state si and tape contains qj , write qk then move left/right and change to state sm A finite set of states, including a start state A tape that is infinite in both directions, containing finitely many non-blank symbols A head which points at one position on the tape A set of transitions Basics Definition Computability Building programs Complexity Turing Completeness What Are Turing Machines? Each Turing machine consists of A finite set of symbols, including a special blank symbol () Bruce Merry Turing Machines If in state si and tape contains qj , write qk then move left/right and change to state sm A tape that is infinite in both directions, containing -
Python C/C++ Java Perl Ruby
Programming Languages Big Ideas for CS 251 • What is a PL? Theory of Programming Languages • Why are new PLs created? Principles of Programming Languages – What are they used for? – Why are there so many? • Why are certain PLs popular? • What goes into the design of a PL? CS251 Programming Languages – What features must/should it contain? Spring 2018, Lyn Turbak – What are the design dimensions? – What are design decisions that must be made? Department of Computer Science Wellesley College • Why should you take this course? What will you learn? Big ideas 2 PL is my passion! General Purpose PLs • First PL project in 1982 as intern at Xerox PARC Java Perl • Created visual PL for 1986 MIT Python masters thesis • 1994 MIT PhD on PL feature Fortran (synchronized lazy aggregates) ML JavaScript • 1996 – 2006: worked on types Racket as member of Church project Haskell • 1988 – 2008: Design Concepts in Programming Languages C/C++ Ruby • 2011 – current: lead TinkerBlocks research team at Wellesley • 2012 – current: member of App Inventor development team CommonLisp Big ideas 3 Big ideas 4 Domain Specific PLs Programming Languages: Mechanical View HTML A computer is a machine. Our aim is to make Excel CSS the machine perform some specifieD acEons. With some machines we might express our intenEons by Depressing keys, pushing OpenGL R buIons, rotaEng knobs, etc. For a computer, Matlab we construct a sequence of instrucEons (this LaTeX is a ``program'') anD present this sequence to IDL the machine. Swift PostScript! – Laurence Atkinson, Pascal Programming Big ideas 5 Big ideas 6 Programming Languages: LinguisEc View Religious Views The use of COBOL cripples the minD; its teaching shoulD, therefore, be A computer language … is a novel formal regarDeD as a criminal offense. -
Unusable for Programming
UNUSABLE FOR PROGRAMMING DANIEL TEMKIN Independent, New York, USA [email protected] 2017.xCoAx.org Lisbon Computation Communication Aesthetics & X Abstract Esolangs are programming languages designed for non-practical purposes, often as experiments, par- odies, or experiential art pieces. A common goal of esolangs is to achieve Turing Completeness: the capability of implementing algorithms of any Keywords complexity. They just go about getting to Turing Esolangs Completeness with an unusual and impractical set Programming languages of commands, or unexpected waysDraft of representing Code art code. However, there is a much smaller class of Oulipo esolangs that are entirely “Unusable for Program- Tangible Computing ming.” These languages explore the very boundary of what a programming language is; producing uns- table programs, or for which no programs can be written at all. This is a look at such languages and how they function (or fail to). Final 1. INTRODUCTION Esolangs (for “esoteric programming languages”) include languages built as thought experiments, jokes, parodies critical of language practices, and arte- facts from imagined alternate computer histories. The esolang Unlambda, for example, is both an esolang masterpiece and typical of the genre. Written by David Madore in 1999, Unlambda gives us a version of functional programming taken to its most extreme: functions can only be applied to other functions, returning more functions, all of them unnamed. It’s a cyberlinguistic puzzle intended as a challenge and an experiment at the extremes of a certain type of language design. The following is a program that calculates the Fibonacci sequence. The code is nearly opaque, with little indication of what it’s doing or how it works. -
Exotic Programming Languages
I. Babich, Master student V. Spivachuk, PHD in Phil., As. Prof., research advisor Khmelnytskyi National University EXOTIC PROGRAMMING LANGUAGES The word ―exotic‖ is defined by the Oxford dictionary as ―of a kind not ordinarily encountered‖. If that is so, what is meant by exotic programming languages? These are languages that are not used for commercial purposes or even for anything ―useful‖. This definition can be applied a little loosely and, hence, many different types of programming languages can be classified as ―exotic‖. So, after some consideration, I have included three types of languages as belonging to this category. Exotic programming languages include languages that are intentionally designed to be difficult to learn and program with. Such languages are often used to analyse the power of programming languages. They are known as esoteric programming languages. Some exotic languages, known as joke languages, are created for the sake of fun. And the third type includes non – English – based programming languages. The definition clearly mentions that these languages do not serve any practical purpose. Then what’s all the fuss about exotic programming languages? To understand their importance, we need to first understand what makes a programming language a programming language. The “Turing completeness” of programming languages A language qualifies as a programming language in the true sense only if it is ―Turing complete‖ [1, c. 4]. A language that is Turing complete can be used to represent any computable algorithm. Many of the so called languages are, in fact, not languages, in the true sense. Examples of tools that are not Turing complete and hence not languages in the strict sense include HTML, XML, JSON, etc. -
Perlmonks.Com with a Gaim Plug-In SEEKING WISDOM
PROGRAMMING Perl: A Gaim Plugin Get the news from perlmonks.com with a Gaim plug-in SEEKING WISDOM irst-time visitors to perlmonks. The Gaim project offers an instant messenger client that speaks a large com are rubbing their eyes in dis- Fbelief: High-caliber Perl hackers number of protocols. We’ll show you how to extend Gaim with Perl are jumping to answer even the simplest of newbie questions. The reason for this plugins. BY MICHAEL SCHILLI is that the community assigns XP (expe- rience) points for the best replies. And the more XP you have, the higher you answer a question correctly typically However, it can take a few seconds to climb in the ranking, from a novice, to a gets the most XP. Instead of pulling the download the content of a remote web monk, and slowly to expert status. web page with the latest questions time page. Both DNS name resolution and the and time again, it makes sense to script process of retrieving the content of the Best of Class the process and have the script let you requested web page can take some time, Due to the community dynamics on know when a new query arrives. during which the CPU should return to perlmonks.com, the The pmwatcher.pl script described other tasks. The tried-and-trusted POE first person to in this issue fetches the perlmonks. [3] framework provides exactly what we com page with the Newest Nodes at need. The POE kernel runs a single pro- regular intervals, remembering cess (and only a single thread), but uses older entries and sending out an cooperative multitasking between con- instant message when it discovers current tasks to ensure that each one is new postings. -
Proof Pearl: Proving a Simple Von Neumann Machine Turing Complete
Proof Pearl: Proving a Simple Von Neumann Machine Turing Complete J Strother Moore Dept. of Computer Science, University of Texas, Austin, TX, USA [email protected] http://www.cs.utexas.edu Abstract. In this paper we sketch an ACL2-checked proof that a simple but unbounded Von Neumann machine model is Turing Complete, i.e., can do anything a Turing machine can do. The project formally revisits the roots of computer science. It requires re-familiarizing oneself with the definitive model of computation from the 1930s, dealing with a simple “modern” machine model, thinking carefully about the formal statement of an important theorem and the specification of both total and partial programs, writing a verifying compiler, including implementing an X86- like call/return protocol and implementing computed jumps, codifying a code proof strategy, and a little “creative” reasoning about the non- termination of two machines. Keywords: ACL2, Turing machine, Java Virtual Machine (JVM), ver- ifying compiler 1 Prelude I have often taught an undergraduate course at the University of Texas at Austin entitled A Formal Model of the Java Virtual Machine. In the course, students are taught how to model sophisticated computing engines and, to a lesser extent, how to prove theorems about such engines and their programs with the ACL2 theorem prover [5]. The course starts with a pedagogical (“toy”) JVM-like model which the students elaborate over the semester towards a more realistic model, which is then compared to an accurate JVM model[9]. The pedagogical model is called M1: a stack based machine providing a fixed number of registers (JVM’s “locals”), an unbounded operand stack, and an execute-only program providing the following bytecode instructions ILOAD, ISTORE, ICONST, IADD, ISUB, IMUL, IFEQ, GOTO, and HALT, with unbounded arithmetic. -
Pragmaticperl-Interviews-A4.Pdf
Pragmatic Perl Interviews pragmaticperl.com 2013—2015 Editor and interviewer: Viacheslav Tykhanovskyi Covers: Marko Ivanyk Revision: 2018-03-02 11:22 © Pragmatic Perl Contents 1 Preface .......................................... 1 2 Alexis Sukrieh (April 2013) ............................... 2 3 Sawyer X (May 2013) .................................. 10 4 Stevan Little (September 2013) ............................. 17 5 chromatic (October 2013) ................................ 22 6 Marc Lehmann (November 2013) ............................ 29 7 Tokuhiro Matsuno (January 2014) ........................... 46 8 Randal Schwartz (February 2014) ........................... 53 9 Christian Walde (May 2014) .............................. 56 10 Florian Ragwitz (rafl) (June 2014) ........................... 62 11 Curtis “Ovid” Poe (September 2014) .......................... 70 12 Leon Timmermans (October 2014) ........................... 77 13 Olaf Alders (December 2014) .............................. 81 14 Ricardo Signes (January 2015) ............................. 87 15 Neil Bowers (February 2015) .............................. 94 16 Renée Bäcker (June 2015) ................................ 102 17 David Golden (July 2015) ................................ 109 18 Philippe Bruhat (Book) (August 2015) . 115 19 Author .......................................... 123 i Preface 1 Preface Hello there! You have downloaded a compilation of interviews done with Perl pro- grammers in Pragmatic Perl journal from 2013 to 2015. Since the journal itself is in Russian -
Compiling Your Own Perl
APPENDIX A Compiling Your Own Perl Compiling Perl on a Unix-like system is simple. First, obtain the source for Perl from CPAN (dppl6++_l]j*lanh*knc+on_+NA=@IA*dpih). Then input the following sequence of commands: p]nvtrblanh)1*4*4*p]n*cv _`lanh)1*4*4 od?kjbecqna)`ao i]ga i]gapaop oq`ki]gaejop]hh On most Unix systems, this code will result in your lanh being installed into the +qon+ hk_]h+ directory tree. If you want it installed elsewhere—for example, in the local directory in your home directory—then replace od?kjbecqna)`a with the following: od?kjbecqna)`ao)@lnabet9z+hk_]h+ which should enable you to install Perl on your computer without root access. Note that the )`ao flag uses all the default options for compiling Perl. If you know that you want nonstandard configuration, just use the flag )`a instead to be prompted for your requirements. Be aware that the source for Perl 5.10.0 requires a patch to work properly with Catalyst. This is fixed in subsequent versions of Perl 5.10. If you need to test code guaranteed to run on a wide range of systems, you should con- sider using Perl version 5.8.7. Perl versions greater than 5.8.7 contain features that were not available in earlier versions of Perl, so Perl 5.8.7 is feature complete for all versions of Perl that Catalyst will run on (version 5.8.1 and later). Put another way, versions 5.8.8 and later have new features that you can’t rely on in earlier releases. -
Modern Perl, Fourth Edition
Prepared exclusively for none ofyourbusiness Prepared exclusively for none ofyourbusiness Early Praise for Modern Perl, Fourth Edition A dozen years ago I was sure I knew what Perl looked like: unreadable and obscure. chromatic showed me beautiful, structured expressive code then. He’s the right guy to teach Modern Perl. He was writing it before it existed. ➤ Daniel Steinberg President, DimSumThinking, Inc. A tour de force of idiomatic code, Modern Perl teaches you not just “how” but also “why.” ➤ David Farrell Editor, PerlTricks.com If I had to pick a single book to teach Perl 5, this is the one I’d choose. As I read it, I was reminded of the first time I read K&R. It will teach everything that one needs to know to write Perl 5 well. ➤ David Golden Member, Perl 5 Porters, Autopragmatic, LLC I’m about to teach a new hire Perl using the first edition of Modern Perl. I’d much rather use the updated copy! ➤ Belden Lyman Principal Software Engineer, MediaMath It’s not the Perl book you deserve. It’s the Perl book you need. ➤ Gizmo Mathboy Co-founder, Greater Lafayette Open Source Symposium (GLOSSY) Prepared exclusively for none ofyourbusiness We've left this page blank to make the page numbers the same in the electronic and paper books. We tried just leaving it out, but then people wrote us to ask about the missing pages. Anyway, Eddy the Gerbil wanted to say “hello.” Prepared exclusively for none ofyourbusiness Modern Perl, Fourth Edition chromatic The Pragmatic Bookshelf Dallas, Texas • Raleigh, North Carolina Prepared exclusively for none ofyourbusiness Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. -
NCCU Programming Languages Concepts 程式語言
NCCU Programming Languages: Concepts & Principles 程式語言 Instructor: 資科系 陳恭副教授 Spring 2006 Lecture 1 Contacts • Instructor: Dr. Kung Chen – E-mail: [email protected] –Office: 大仁樓200210 – Office Hours: Tuesday: 11am-12am • Teaching assistants: 資科系研究生 – E-mail: [email protected] [email protected] –Office: 資科系程式語言與軟體方法實驗室 • Class web page: – http://www.cs.nccu.edu/~chenk/Courses/PL What shall we study? Don’t Get Confused by the Course Name 教哪個程式語言? C++? Java? C#? … No! A “principles” course aims to teach the underlying concepts behind all programming languages (Concept-driven). Course Pre-requisite • Required course for CS major (junior) – Implies that it’s not an easy course • Prerequisite – Experience in C programming – Experience in C++ or Java programming • Non-CS major students – Better talk to the instructor or be well-motivated Programming languages Programming languages you have used you’ve heard of • C, Java, C++, C#, • Lisp, … •Basic, … •… Programming Languages’ Tower of Babel • Why are there so many programming languages? "I speak Spanish to God, Italian to women, French to men, and German to my horse." — Emperor Charles V (1500-1558) Why So Many Languages? • Application domains have distinctive (and conflicting) needs • Examples: – Scientific Computing: high performance – Business: report generation – Artificial intelligence: symbolic computation – Systems programming: low-level access – Real-time systems: timing constraints – Special purpose languages –… Why So Many Languages? (Cont’d) • Evolution: Our understanding of programming evolves, so do languages grow! • The advance of programming methods usually lead to new programming languages: – Structured programming • Pascal – Object-Oriented Programming • Simula 67, Smalltalk, C++ – Functional programming • Socio-economic factors – Proprietary interests, commercial advantage • Personal preference Different Programming Language Design Philosophies C Other languages If all you have is a hammer, then everything looks like a nail. -
Programming Paradigms Lecture
The Beauty and Joy of Computing Lecture #5 Programming Paradigms UC Berkeley EECS Guest Lecturer TA Peter Sujan CITRIS INVENTION LAB! 3D PRINTED GUNS! It provides prototyping resources Is gun control a fruitless effort? such as 3D printing, laser cutting, soldering stations, hand and power tools. We are opening the lab to a limited number of students, staff & faculty to work on outside projects. invent.citris-uc.org motherboard.vice.com/read/click-print-gun-the-inside-story-of-the-3d-printed-gun-movement-video Programming Paradigms Lecture . What are they? Most are Hybrids! . The Four Primary ones Functional Imperative Object-Oriented OOP Example: Skecthpad Declarative . Turing Completeness . Summary en.wikipedia.org/wiki/Programming_paradigm What are Programming Paradigms? . “The concepts and abstractions used to represent the elements of a program (e.g., objects, functions, variables, constraints, etc.) and the steps that compose a computation (assignation, evaluation, continuations, data flows, etc.).” . Or, a way to classify the style of programming. snap.berkeley.edu Of 4 paradigms, how many can Snap! be? a) 1 (functional) b) 1 (not functional) c) 2 d) 3 e) 4 Most Languages Are Hybrids! . This makes it hard to teach to students, because most languages have facets of several paradigms! Called “Multi-paradigm” languages Scratch too! . It’s like giving someone a juice drink (with many fruit in it) and asking to taste just one fruit! en.wikipedia.org/wiki/Functional_programming Functional Programming (review) . Computation is the evaluation of functions f(x)=(x+3)* x Plugging pipes together Each pipe, or function, has x exactly 1 output Functions can be input! .