Regular Expressions in Programming
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												  UNIX and Computer Science Spreading UNIX Around the World: by Ronda Hauben an Interview with John LionsWinter/Spring 1994 Celebrating 25 Years of UNIX Volume 6 No 1 "I believe all significant software movements start at the grassroots level. UNIX, after all, was not developed by the President of AT&T." Kouichi Kishida, UNIX Review, Feb., 1987 UNIX and Computer Science Spreading UNIX Around the World: by Ronda Hauben An Interview with John Lions [Editor's Note: This year, 1994, is the 25th anniversary of the [Editor's Note: Looking through some magazines in a local invention of UNIX in 1969 at Bell Labs. The following is university library, I came upon back issues of UNIX Review from a "Work In Progress" introduced at the USENIX from the mid 1980's. In these issues were articles by or inter- Summer 1993 Conference in Cincinnati, Ohio. This article is views with several of the pioneers who developed UNIX. As intended as a contribution to a discussion about the sig- part of my research for a paper about the history and devel- nificance of the UNIX breakthrough and the lessons to be opment of the early days of UNIX, I felt it would be helpful learned from it for making the next step forward.] to be able to ask some of these pioneers additional questions The Multics collaboration (1964-1968) had been created to based on the events and developments described in the UNIX "show that general-purpose, multiuser, timesharing systems Review Interviews. were viable." Based on the results of research gained at MIT Following is an interview conducted via E-mail with John using the MIT Compatible Time-Sharing System (CTSS), Lions, who wrote A Commentary on the UNIX Operating AT&T and GE agreed to work with MIT to build a "new System describing Version 6 UNIX to accompany the "UNIX hardware, a new operating system, a new file system, and a Operating System Source Code Level 6" for the students in new user interface." Though the project proceeded slowly his operating systems class at the University of New South and it took years to develop Multics, Doug Comer, a Profes- Wales in Australia.
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												  Express Yourself! Regular Expressions Vs SAS Text String Functions Spencer Childress, Rho®, Inc., Chapel Hill, NCPharmaSUG 2014 - Paper BB08 Express Yourself! Regular Expressions vs SAS Text String Functions Spencer Childress, Rho®, Inc., Chapel Hill, NC ABSTRACT ® SAS and Perl regular expression functions offer a powerful alternative and complement to typical SAS text string functions. By harnessing the power of regular expressions, SAS functions such as PRXMATCH and PRXCHANGE not only overlap functionality with functions such as INDEX and TRANWRD, they also eclipse them. With the addition of the modifier argument to such functions as COMPRESS, SCAN, and FINDC, some of the regular expression syntax already exists for programmers familiar with SAS 9.2 and later versions. We look at different methods that solve the same problem, with detailed explanations of how each method works. Problems range from simple searches to complex search and replaces. Programmers should expect an improved grasp of the regular expression and how it can complement their portfolio of code. The techniques presented herein offer a good overview of basic data step text string manipulation appropriate for all levels of SAS capability. While this article targets a clinical computing audience, the techniques apply to a broad range of computing scenarios. INTRODUCTION This article focuses on the added capability of Perl regular expressions to a SAS programmer’s skillset. A regular expression (regex) forms a search pattern, which SAS uses to scan through a text string to detect matches. An extensive library of metacharacters, characters with special meanings within the regex, allows extremely robust searches. Before jumping in, the reader would do well to read over ‘An Introduction to Perl Regular Expressions in SAS 9’, referencing page 3 in particular (Cody, 2004).
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												  855 Symbols & (Ampersand), 211 && (AND Operator), 608 `` (Backquotes/Backticks), 143 & (Bitwise AND) Operator, 1index.fm Page 855 Wednesday, October 25, 2006 1:28 PM Index Symbols A & (ampersand), 211 abs() function, 117 && (AND operator), 608 Access methods, 53, 758–760 `` (backquotes/backticks), 143 ACTION attribute, 91 & (bitwise AND) operator, 140 action attribute, 389–390, 421 ~ (bitwise NOT) operator, 141 addcslashes() function, 206–208, 214 | (bitwise OR) operator, 140 Addition (+), 112 ^ (bitwise XOR) operator, 140 addslashes() function, 206–208, 214 ^ (caret metacharacter), 518, 520–521 admin_art_edit.php, 784, 793–796 " (double quote), 211 admin_art_list.php, 784 @ (error control) operator, 143–145 admin_artist_edit.php, 784, 788–789 > (greater than), 211, 608, 611-612 admin_artist_insert.php, 784, 791–792 << (left shift) operator, 141 admin_artist_list.php, 784, 786–787, < (less than), 211, 608, 611-612 796 * metacharacter, 536–538 admin_footer.php, 784 !, NOT operator, 608 admin_header.php, 784, 803 < operator, 608, 611–612 admin_login.php, 784, 797, 803 <= operator, 608 Advisory locking, 474 <>, != operator, 608–609 Aliases, 630–631 = operator, 608–609 Alphabetic sort of, 299–300 > operator, 608, 611–612 Alphanumeric word characters, metasymbols -> operator, 743–744 representing, 531–533 >= operator, 608 ALTER command, 631 || (OR operator), 130–132, 608 ALTER TABLE statement, 620, 631–633 >> (right shift) operator, 141 Alternation, metacharacters for, 543 ' (single quote), 211, 352–353, 609 Anchoring metacharacters, 520–523 % wildcard, 613–614 beginning-of-line anchor, 520–523 >>> (zero-fill right shift) operator, end-of-line anchor,
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												  Perl Regular Expressions 102NESUG 2006 Posters Perl Regular Expressions 102 Kenneth W. Borowiak, Howard M. Proskin & Associates, Inc., Rochester, NY ABSTRACT Perl regular expressions were made available in SAS® in Version 9 through the PRX family of functions and call routines. The SAS community has already generated some literature on getting started with these often-cryptic, but very powerful character functions. The goal of this paper is to build upon the existing literature by exposing some of the pitfalls and subtleties of writing regular expressions. Using a fictitious clinical trial adverse event data set, concepts such as zero-width assertions, anchors, non-capturing buffers and greedy quantifiers are explored. This paper is targeted at those who already have a basic knowledge of regular expressions. Keywords: word boundary, negative lookaheads, positive lookbehinds, zero-width assertions, anchors, non-capturing buffers, greedy quantifiers INTRODUCTION Regular expressions enable you to generally characterize a pattern for subsequent matching and manipulation of text fields. If you have you ever used a text editor’s Find (-and Replace) capability of literal strings then you are already using regular expressions, albeit in the most strict sense. In SAS Version 9, Perl regular expressions were made available through the PRX family of functions and call routines. Though the Programming Extract and Reporting Language is itself a programming language, it is the regular expression capabilities of Perl that have been implemented in SAS. The SAS community of users and developers has already generated some literature on getting started with these often- cryptic, but very powerful character functions. Introductory papers by Cassell [2005], Cody [2006], Pless [2005] and others are referenced at the end of this paper.
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												  Ifdef Considered Harmful, Or Portability Experience with C News Henry Spencer – Zoology Computer Systems, University of Toronto Geoff Collyer – Software Tool & Die#ifdef Considered Harmful, or Portability Experience With C News Henry Spencer – Zoology Computer Systems, University of Toronto Geoff Collyer – Software Tool & Die ABSTRACT We believe that a C programmer’s impulse to use #ifdef in an attempt at portability is usually a mistake. Portability is generally the result of advance planning rather than trench warfare involving #ifdef. In the course of developing C News on different systems, we evolved various tactics for dealing with differences among systems without producing a welter of #ifdefs at points of difference. We discuss the alternatives to, and occasional proper use of, #ifdef. Introduction portability problems are repeatedly worked around rather than solved. The result is a tangled and often With UNIX running on many different comput- impenetrable web. Here’s a noteworthy example ers, vaguely UNIX-like systems running on still more, from a popular newsreader.1 See Figure 1. Observe and C running on practically everything, many peo- that, not content with merely nesting #ifdefs, the ple are suddenly finding it necessary to port C author has #ifdef and ordinary if statements (plus the software from one machine to another. When differ- mysterious IF macros) interweaving. This makes ences among systems cause trouble, the usual first the structure almost impossible to follow without impulse is to write two different versions of the going over it repeatedly, one case at a time. code—one per system—and use #ifdef to choose the appropriate one. This is usually a mistake. Furthermore, given worst case elaboration and nesting (each #ifdef always has a matching #else), Simple use of #ifdef works acceptably well the number of alternative code paths doubles with when differences are localized and only two versions each extra level of #ifdef.
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												  Quick Tips and Tricks: Perl Regular Expressions in SAS® Pratap SPaper 4005-2019 Quick Tips and Tricks: Perl Regular Expressions in SAS® Pratap S. Kunwar, Jinson Erinjeri, Emmes Corporation. ABSTRACT Programming with text strings or patterns in SAS® can be complicated without the knowledge of Perl regular expressions. Just knowing the basics of regular expressions (PRX functions) will sharpen anyone's programming skills. Having attended a few SAS conferences lately, we have noticed that there are few presentations on this topic and many programmers tend to avoid learning and applying the regular expressions. Also, many of them are not aware of the capabilities of these functions in SAS. In this presentation, we present quick tips on these expressions with various applications which will enable anyone learn this topic with ease. INTRODUCTION SAS has numerous character (string) functions which are very useful in manipulating character fields. Every SAS programmer is generally familiar with basic character functions such as SUBSTR, SCAN, STRIP, INDEX, UPCASE, LOWCASE, CAT, ANY, NOT, COMPARE, COMPBL, COMPRESS, FIND, TRANSLATE, TRANWRD etc. Though these common functions are very handy for simple string manipulations, they are not built for complex pattern matching and search-and-replace operations. Regular expressions (RegEx) are both flexible and powerful and are widely used in popular programming languages such as Perl, Python, JavaScript, PHP, .NET and many more for pattern matching and translating character strings. Regular expressions skills can be easily ported to other languages like SQL., However, unlike SQL, RegEx itself is not a programming language, but simply defines a search pattern that describes text. Learning regular expressions starts with understanding of character classes and metacharacters.
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												  Usenet News HOWTOUsenet News HOWTO Shuvam Misra (usenet at starcomsoftware dot com) Revision History Revision 2.1 2002−08−20 Revised by: sm New sections on Security and Software History, lots of other small additions and cleanup Revision 2.0 2002−07−30 Revised by: sm Rewritten by new authors at Starcom Software Revision 1.4 1995−11−29 Revised by: vs Original document; authored by Vince Skahan. Usenet News HOWTO Table of Contents 1. What is the Usenet?........................................................................................................................................1 1.1. Discussion groups.............................................................................................................................1 1.2. How it works, loosely speaking........................................................................................................1 1.3. About sizes, volumes, and so on.......................................................................................................2 2. Principles of Operation...................................................................................................................................4 2.1. Newsgroups and articles...................................................................................................................4 2.2. Of readers and servers.......................................................................................................................6 2.3. Newsfeeds.........................................................................................................................................6
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												  Context-Free Grammar for the Syntax of Regular Expression Over the ASCIIContext-free Grammar for the syntax of regular expression over the ASCII character set assumption : • A regular expression is to be interpreted a Haskell string, then is used to match against a Haskell string. Therefore, each regexp is enclosed inside a pair of double quotes, just like any Haskell string. For clarity, a regexp is highlighted and a “Haskell input string” is quoted for the examples in this document. • Since ASCII character strings will be encoded as in Haskell, therefore special control ASCII characters such as NUL and DEL are handled by Haskell. context-free grammar : BNF notation is used to describe the syntax of regular expressions defined in this document, with the following basic rules: • <nonterminal> ::= choice1 | choice2 | ... • Double quotes are used when necessary to reflect the literal meaning of the content itself. <regexp> ::= <union> | <concat> <union> ::= <regexp> "|" <concat> <concat> ::= <term><concat> | <term> <term> ::= <star> | <element> <star> ::= <element>* <element> ::= <group> | <char> | <emptySet> | <emptyStr> <group> ::= (<regexp>) <char> ::= <alphanum> | <symbol> | <white> <alphanum> ::= A | B | C | ... | Z | a | b | c | ... | z | 0 | 1 | 2 | ... | 9 <symbol> ::= ! | " | # | $ | % | & | ' | + | , | - | . | / | : | ; | < | = | > | ? | @ | [ | ] | ^ | _ | ` | { | } | ~ | <sp> | \<metachar> <sp> ::= " " <metachar> ::= \ | "|" | ( | ) | * | <white> <white> ::= <tab> | <vtab> | <nline> <tab> ::= \t <vtab> ::= \v <nline> ::= \n <emptySet> ::= Ø <emptyStr> ::= "" Explanations : 1. Definition of <metachar> in our definition of regexp: Symbol meaning \ Used to escape a metacharacter, \* means the star char itself | Specifies alternatives, y|n|m means y OR n OR m (...) Used for grouping, giving the group priority * Used to indicate zero or more of a regexp, a* matches the empty string, “a”, “aa”, “aaa” and so on Whi tespace char meaning \n A new line character \t A horizontal tab character \v A vertical tab character 2.
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												  The Following Paper Was Originally Published in the Proceedings of the Eleventh Systems Administration Conference (LISA ’97) San Diego, California, October 1997The following paper was originally published in the Proceedings of the Eleventh Systems Administration Conference (LISA ’97) San Diego, California, October 1997 For more information about USENIX Association contact: 1. Phone: 510 528-8649 2. FAX: 510 548-5738 3. Email: [email protected] 4. WWW URL:http://www.usenix.org Shuse At Two: Multi-Host Account Administration Henry Spencer – SP Systems ABSTRACT The Shuse multi-host account administration system [1] is now two years old, and clearly a success. It is managing a user population of 20,000+ at Sheridan College, and a smaller but more demanding population at a local ‘‘wholesaler ’’ ISP, Cancom. This paper reviews some of the experiences along the way, and attempts to draw some lessons from them. Shuse: Outline and Status After some trying moments early on, Shuse is very clearly a success. In mid-autumn 1996, Sheridan Shuse [1] is a multi-host account administration College’s queue of outstanding help-desk requests was system designed for large user communities (tens of two orders of magnitude shorter than it had been in thousands) on possibly-heterogeneous networks. It previous years, despite reductions in support man- adds, deletes, moves, renames, and otherwise adminis- power. Favorable comments were heard from faculty ters user accounts on multiple servers, with functional- who had never previously had anything good to say ity generally similar to that of Project Athena’s Ser- about computing support. However, there was natu- vice Management System [2]. rally still a wishlist of desirable improvements. Shuse uses a fairly centralized architecture. All At around the same time, ex-Sheridan people user/sysadmin requests go to a central daemon were involved in getting Canadian Satellite Communi- (shused) on a central server host, via gatekeeper pro- cations Inc.
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												  Advanced Tcl E DPART II I I . A d v a n c Advanced Tcl e d T c l Part II describes advanced programming techniques that support sophisticated applications. The Tcl interfaces remain simple, so you can quickly construct pow- erful applications. Chapter 10 describes eval, which lets you create Tcl programs on the fly. There are tricks with using eval correctly, and a few rules of thumb to make your life easier. Chapter 11 describes regular expressions. This is the most powerful string processing facility in Tcl. This chapter includes a cookbook of useful regular expressions. Chapter 12 describes the library and package facility used to organize your code into reusable modules. Chapter 13 describes introspection and debugging. Introspection provides information about the state of the Tcl interpreter. Chapter 14 describes namespaces that partition the global scope for vari- ables and procedures. Namespaces help you structure large Tcl applications. Chapter 15 describes the features that support Internationalization, includ- ing Unicode, other character set encodings, and message catalogs. Chapter 16 describes event-driven I/O programming. This lets you run pro- cess pipelines in the background. It is also very useful with network socket pro- gramming, which is the topic of Chapter 17. Chapter 18 describes TclHttpd, a Web server built entirely in Tcl. You can build applications on top of TclHttpd, or integrate the server into existing appli- cations to give them a web interface. TclHttpd also supports regular Web sites. Chapter 19 describes Safe-Tcl and using multiple Tcl interpreters. You can create multiple Tcl interpreters for your application. If an interpreter is safe, then you can grant it restricted functionality.
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												  K5917: Using Regular Expressions in a Health Monitor Receive StringK5917: Using regular expressions in a health monitor receive string Non-Diagnostic Original Publication Date: Oct 20, 2015 Update Date: Aug 24, 2021 Topic Some BIG-IP application health monitors, such as the HTTP monitor, include a Receive String field. This field specifies a string for comparison with the server response. You can specify a regular expression in that field to provide some flexibility in matching an expected response from a healthy server. Health monitors that support regular expressions include TCP, HTTP, HTTPS, and User Datagram Protocol (UDP). Regular expressions provide the flexibility for identifying strings of text that are of interest, such as certain characters, words, or a pattern of characters. With some exceptions, health monitors on BIG-IP systems support the use of POSIX Extended Regular Expressions (ERE). ERE syntax treats most characters as literals, meaning that they match only themselves, and defines metacharacters, which can be used to represent special characters, multiple characters, or a sequences of characters. To reduce operating overhead for the BIG-IP system, F5 recommends that, whenever possible, you use static strings for monitoring. Using static strings instead of regular expressions for monitoring is simpler and more efficient. However, the performance impact is minimal in comparison to the administrative flexibility offered from using regular expressions. For example, your HTTP health monitor requests the /admin/monitor.html page from the web server, which invokes a simple local script. The script checks whether vital local operating parameters, such as connections, memory, processor, or disk space, are within acceptable limits. If so, the script returns the monitor.html page, which includes a single line of body text that varies for each server, based on the server name: Server1: OK Server2: OK Server3: OK If you do not use a regular expression to match this response, you must create three separate monitors, each with a different receive string, and ensure the correct monitor is applied to each server.
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												  String Search & Pattern MatchingString Search & Pattern Matching Wednesday, October 23, 2008 Reading: Stoughton 3.14, Kozen Chs. 7-8 CS235 Languages and Automata Department of Computer Science Wellesley College Some Applications of Regular Languages Today: o Efficient string searching o Pattern matching with regular expressions (example: Unix grep utility) Tomorrow: o Lexical analysis (a.k.a. scanning, tokenizing) in a compiler (example: ML-Lex). Pattern Matching 21-2 Naïve String Searching How to search for abbaba in abbabcabbabbaba? a b b a b c a b b a b b a b a a b b a b a a b b a b a a b b a b a a b b a b a a b b a b a a b b a b a a b b a b a a b b a b a a b b a b a a b b a b a Pattern Matching 21-3 More Efficient String Searching Knuth-Morris-Pratt algorithm: construct a DFA for searched-for string, and use it to do searching. b,c a a b a a b b a b a c c b,c c c How to construct this DFA automatically? a b b a b c a b b a b b a b a a b b a b a a b b a b a a b b a b a Pattern Matching 21-4 Pattern Matching with Regular Expressions Can turn any regular expression (possibly extended with complement, intersection, and difference) into a DFA and use it for string searching.