Perl Patterns
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Pattern Matching Using Similarity Measures
Pattern matching using similarity measures Patroonvergelijking met behulp van gelijkenismaten (met een samenvatting in het Nederlands) PROEFSCHRIFT ter verkrijging van de graad van doctor aan de Universiteit Utrecht op gezag van Rector Magnificus, Prof. Dr. H. O. Voorma, ingevolge het besluit van het College voor Promoties in het openbaar te verdedigen op maandag 18 september 2000 des morgens te 10:30 uur door Michiel Hagedoorn geboren op 13 juli 1972, te Renkum promotor: Prof. Dr. M. H. Overmars Faculteit Wiskunde & Informatica co-promotor: Dr. R. C. Veltkamp Faculteit Wiskunde & Informatica ISBN 90-393-2460-3 PHILIPS '$ The&&% research% described in this thesis has been made possible by financial support from Philips Research Laboratories. The work in this thesis has been carried out in the graduate school ASCI. Contents 1 Introduction 1 1.1Patternmatching.......................... 1 1.2Applications............................. 4 1.3Obtaininggeometricpatterns................... 7 1.4 Paradigms in geometric pattern matching . 8 1.5Similaritymeasurebasedpatternmatching........... 11 1.6Overviewofthisthesis....................... 16 2 A theory of similarity measures 21 2.1Pseudometricspaces........................ 22 2.2Pseudometricpatternspaces................... 30 2.3Embeddingpatternsinafunctionspace............. 40 2.4TheHausdorffmetric........................ 46 2.5Thevolumeofsymmetricdifference............... 54 2.6 Reflection visibility based distances . 60 2.7Summary.............................. 71 2.8Experimentalresults....................... -
Dynamic Web Pages with the Embedded Web Server
Dynamic Web Pages With The Embedded Web Server The Digi-Geek’s AJAX Workbook (NET+OS, XML, & JavaScript) Version 1.0 5/4/2011 Page 1 Copyright Digi International, 2011 Table of Contents Chapter 1 - How to Use this Guide ............................................................................................................... 5 Prerequisites – If You Can Ping, You Can Use This Thing! ..................................................................... 5 Getting Help with TCP/IP and Wi-Fi Setup ............................................................................................ 5 The Study Guide or the Short Cut? ....................................................................................................... 5 C Code ................................................................................................................................................... 6 HTML Code ............................................................................................................................................ 6 XML File ................................................................................................................................................. 6 Provide us with Your Feedback ............................................................................................................. 6 Chapter 2 - The Server-Client Relationship ................................................................................................... 7 Example – An Analogy for a Normal HTML page ................................................................................. -
Spring Form Tag Library
Spring Form Tag Library The Spring Web MVC framework provides a set of tags in the form of a tag library, which is used to construct views (web pages). The Spring Web MVC integrates Spring's form tag library. Spring's form tag accesses to the command object, and also it refers to the data our Spring controller deals with. A Command object can be defined as a JavaBean that stores user input, usually entered through HTML form is called the Command object. The Spring form tag makes it easier to develop, maintain, and read JSPs. The Spring form tags are used to construct user interface elements such as text and buttons. Spring form tag library has a set of tags such as <form> and <input>. Each form tag provides support for the set of attributes of its corresponding HTML tag counterpart, which allows a developer to develop UI components in JSP or HTML pages. Configuration – spring-form.tld The Spring form tag library comes bundled in spring-webmvc.jar. The spring- form.tld is known as Tag Library Descriptor (tld) file, which is available in a web application and generates HTML tags. The Spring form tag library must be defined at the top of the JSP page. The following directive needs to be added to the top of your JSP pages, in order to use Spring form tags from this library: <%@ taglib prefix="form" uri="http://www.springframework.org/tags/form" %> Here, form is the tag name prefix, which will be used for the tags from this Spring form tag library in JSP pages. -
B-Prolog User's Manual
B-Prolog User's Manual (Version 8.1) Prolog, Agent, and Constraint Programming Neng-Fa Zhou Afany Software & CUNY & Kyutech Copyright c Afany Software, 1994-2014. Last updated February 23, 2014 Preface Welcome to B-Prolog, a versatile and efficient constraint logic programming (CLP) system. B-Prolog is being brought to you by Afany Software. The birth of CLP is a milestone in the history of programming languages. CLP combines two declarative programming paradigms: logic programming and constraint solving. The declarative nature has proven appealing in numerous ap- plications, including computer-aided design and verification, databases, software engineering, optimization, configuration, graphical user interfaces, and language processing. It greatly enhances the productivity of software development and soft- ware maintainability. In addition, because of the availability of efficient constraint- solving, memory management, and compilation techniques, CLP programs can be more efficient than their counterparts that are written in procedural languages. B-Prolog is a Prolog system with extensions for programming concurrency, constraints, and interactive graphics. The system is based on a significantly refined WAM [1], called TOAM Jr. [19] (a successor of TOAM [16]), which facilitates software emulation. In addition to a TOAM emulator with a garbage collector that is written in C, the system consists of a compiler and an interpreter that are written in Prolog, and a library of built-in predicates that are written in C and in Prolog. B-Prolog does not only accept standard-form Prolog programs, but also accepts matching clauses, in which the determinacy and input/output unifications are explicitly denoted. Matching clauses are compiled into more compact and faster code than standard-form clauses. -
Pattern Matching Using Fuzzy Methods David Bell and Lynn Palmer, State of California: Genetic Disease Branch
Pattern Matching Using Fuzzy Methods David Bell and Lynn Palmer, State of California: Genetic Disease Branch ABSTRACT The formula is : Two major methods of detecting similarities Euclidean Distance and 2 a "fuzzy Hamming distance" presented in a paper entitled "F %%y Dij : ; ( <3/i - yj 4 Hamming Distance: A New Dissimilarity Measure" by Bookstein, Klein, and Raita, will be compared using entropy calculations to Euclidean distance is especially useful for comparing determine their abilities to detect patterns in data and match data matching whole word object elements of 2 vectors. The records. .e find that both means of measuring distance are useful code in Java is: depending on the context. .hile fuzzy Hamming distance outperforms in supervised learning situations such as searches, the Listing 1: Euclidean Distance Euclidean distance measure is more useful in unsupervised pattern matching and clustering of data. /** * EuclideanDistance.java INTRODUCTION * * Pattern matching is becoming more of a necessity given the needs for * Created: Fri Oct 07 08:46:40 2002 such methods for detecting similarities in records, epidemiological * * @author David Bell: DHS-GENETICS patterns, genetics and even in the emerging fields of criminal * @version 1.0 behavioral pattern analysis and disease outbreak analysis due to */ possible terrorist activity. 0nfortunately, traditional methods for /** Abstact Distance class linking or matching records, data fields, etc. rely on exact data * @param None matches rather than looking for close matches or patterns. 1f course * @return Distance Template proximity pattern matches are often necessary when dealing with **/ messy data, data that has inexact values and/or data with missing key abstract class distance{ values. -
Cobol Vs Standards and Conventions
Number: 11.10 COBOL VS STANDARDS AND CONVENTIONS July 2005 Number: 11.10 Effective: 07/01/05 TABLE OF CONTENTS 1 INTRODUCTION .................................................................................................................................................. 1 1.1 PURPOSE .................................................................................................................................................. 1 1.2 SCOPE ...................................................................................................................................................... 1 1.3 APPLICABILITY ........................................................................................................................................... 2 1.4 MAINFRAME COMPUTER PROCESSING ....................................................................................................... 2 1.5 MAINFRAME PRODUCTION JOB MANAGEMENT ............................................................................................ 2 1.6 COMMENTS AND SUGGESTIONS ................................................................................................................. 3 2 COBOL DESIGN STANDARDS .......................................................................................................................... 3 2.1 IDENTIFICATION DIVISION .................................................................................................................. 4 2.1.1 PROGRAM-ID .......................................................................................................................... -
Dynamic Forms Guide for Faculty and Staff
Dynamic Forms User Guide University of Miami Graduate School Dynamic Forms Basics • Basic Definitions: there are two types of form users – Initiator (student): the user who starts a form. – Co-signer (faculty and staff): a user to whom a form is routed, after the initiator has submitted the form. The co-signer may just need to review and sign the form, but in some cases, they might have to complete a section of the form. Forms may have more than one co-signer. • Dynamic Forms uses UM Single Sign-On (SSO) for every form, so there is no need for additional login credentials. For every form, all users must use their official UM email address. Therefore, all forms must be initiated by the student who is making the request and forms can only be signed by the specific co-signers to whom the form is sent (i.e. Graduate Program Directors, Associate Deans of Graduate Education, Advisors and Committee Members). • Co-signers will receive an email notification from [email protected] whenever they need to sign a form. Therefore, this email address should be added to co-signers’ safe senders’ lists to ensure the notification email does not land in junk/spam/clutter folders. To visit Dynamic Forms for any other reason, click here to go to the home page. • Signatures will appear as a timestamp with the user’s printed name and the date and time of signature. • Users will only be able to write or click on the section of the form they are allowed to fill out. -
Javascript Create Dynamic Form and Submit
Javascript Create Dynamic Form And Submit Chocolaty and unlaced Wait often loped some ocellations dead or staying retractively. Gustave is detectedunconjunctive Raimund and circlingresupply cuttingly her brunch while forage complacent or borate Erin lavishly. leverages and discards. Superfluid and So now an array of months to submit our form, or without any required for sharing your choice. And dynamic form and javascript create submit our form will be blank. This tutorial a quick reply and create dynamic form and javascript easily create generative social website. By creating dynamic. Are dynamic forms dynamically create form submit of functionality has loaded in javascript in one time we use. Only have created dynamically create modular units that for submit to. You create dynamic field. This dynamic forms dynamically created inputs, submit button a set. The submit information is created dynamically create forms with styling gets executed sequentially in certain situations. As they all of the submit controls at the form is an array will just had an on form editor open small ajax to create dynamic form and submit button when you for the above? What i created a repeater with form via an interface can get. Planning is interfere with React, the data project you can use policy available provide different events. It dynamically create dynamic form submit button is exactly what if so i need to update will fill a free. When you medicine to validate fields in certain rules. It dynamically create dynamic email, submit event and javascript easily manage our experience. Can observe that indicates whether stop validate trigger this does your screens for each sign up as initiated? To get started, I only need a simple form, from superficial layer and services to the UI and integration tests. -
Use Perl Regular Expressions in SAS® Shuguang Zhang, WRDS, Philadelphia, PA
NESUG 2007 Programming Beyond the Basics Use Perl Regular Expressions in SAS® Shuguang Zhang, WRDS, Philadelphia, PA ABSTRACT Regular Expression (Regexp) enhance search and replace operations on text. In SAS®, the INDEX, SCAN and SUBSTR functions along with concatenation (||) can be used for simple search and replace operations on static text. These functions lack flexibility and make searching dynamic text difficult, and involve more function calls. Regexp combines most, if not all, of these steps into one expression. This makes code less error prone, easier to maintain, clearer, and can improve performance. This paper will discuss three ways to use Perl Regular Expression in SAS: 1. Use SAS PRX functions; 2. Use Perl Regular Expression with filename statement through a PIPE such as ‘Filename fileref PIPE 'Perl programm'; 3. Use an X command such as ‘X Perl_program’; Three typical uses of regular expressions will also be discussed and example(s) will be presented for each: 1. Test for a pattern of characters within a string; 2. Replace text; 3. Extract a substring. INTRODUCTION Perl is short for “Practical Extraction and Report Language". Larry Wall Created Perl in mid-1980s when he was trying to produce some reports from a Usenet-Nes-like hierarchy of files. Perl tries to fill the gap between low-level programming and high-level programming and it is easy, nearly unlimited, and fast. A regular expression, often called a pattern in Perl, is a template that either matches or does not match a given string. That is, there are an infinite number of possible text strings. -
A First Course to Openfoam
Basic Shell Scripting Slides from Wei Feinstein HPC User Services LSU HPC & LON [email protected] September 2018 Outline • Introduction to Linux Shell • Shell Scripting Basics • Variables/Special Characters • Arithmetic Operations • Arrays • Beyond Basic Shell Scripting – Flow Control – Functions • Advanced Text Processing Commands (grep, sed, awk) Basic Shell Scripting 2 Linux System Architecture Basic Shell Scripting 3 Linux Shell What is a Shell ▪ An application running on top of the kernel and provides a command line interface to the system ▪ Process user’s commands, gather input from user and execute programs ▪ Types of shell with varied features o sh o csh o ksh o bash o tcsh Basic Shell Scripting 4 Shell Comparison Software sh csh ksh bash tcsh Programming language y y y y y Shell variables y y y y y Command alias n y y y y Command history n y y y y Filename autocompletion n y* y* y y Command line editing n n y* y y Job control n y y y y *: not by default http://www.cis.rit.edu/class/simg211/unixintro/Shell.html Basic Shell Scripting 5 What can you do with a shell? ▪ Check the current shell ▪ echo $SHELL ▪ List available shells on the system ▪ cat /etc/shells ▪ Change to another shell ▪ csh ▪ Date ▪ date ▪ wget: get online files ▪ wget https://ftp.gnu.org/gnu/gcc/gcc-7.1.0/gcc-7.1.0.tar.gz ▪ Compile and run applications ▪ gcc hello.c –o hello ▪ ./hello ▪ What we need to learn today? o Automation of an entire script of commands! o Use the shell script to run jobs – Write job scripts Basic Shell Scripting 6 Shell Scripting ▪ Script: a program written for a software environment to automate execution of tasks ▪ A series of shell commands put together in a file ▪ When the script is executed, those commands will be executed one line at a time automatically ▪ Shell script is interpreted, not compiled. -
Lecture 18: Theory of Computation Regular Expressions and Dfas
Introduction to Theoretical CS Lecture 18: Theory of Computation Two fundamental questions. ! What can a computer do? ! What can a computer do with limited resources? General approach. Pentium IV running Linux kernel 2.4.22 ! Don't talk about specific machines or problems. ! Consider minimal abstract machines. ! Consider general classes of problems. COS126: General Computer Science • http://www.cs.Princeton.EDU/~cos126 2 Why Learn Theory In theory . Regular Expressions and DFAs ! Deeper understanding of what is a computer and computing. ! Foundation of all modern computers. ! Pure science. ! Philosophical implications. a* | (a*ba*ba*ba*)* In practice . ! Web search: theory of pattern matching. ! Sequential circuits: theory of finite state automata. a a a ! Compilers: theory of context free grammars. b b ! Cryptography: theory of computational complexity. 0 1 2 ! Data compression: theory of information. b "In theory there is no difference between theory and practice. In practice there is." -Yogi Berra 3 4 Pattern Matching Applications Regular Expressions: Basic Operations Test if a string matches some pattern. Regular expression. Notation to specify a set of strings. ! Process natural language. ! Scan for virus signatures. ! Search for information using Google. Operation Regular Expression Yes No ! Access information in digital libraries. ! Retrieve information from Lexis/Nexis. Concatenation aabaab aabaab every other string ! Search-and-replace in a word processors. cumulus succubus Wildcard .u.u.u. ! Filter text (spam, NetNanny, Carnivore, malware). jugulum tumultuous ! Validate data-entry fields (dates, email, URL, credit card). aa Union aa | baab baab every other string ! Search for markers in human genome using PROSITE patterns. aa ab Closure ab*a abbba ababa Parse text files. -
CSCI 2041: Pattern Matching Basics
CSCI 2041: Pattern Matching Basics Chris Kauffman Last Updated: Fri Sep 28 08:52:58 CDT 2018 1 Logistics Reading Assignment 2 I OCaml System Manual: Ch I Demo in lecture 1.4 - 1.5 I Post today/tomorrow I Practical OCaml: Ch 4 Next Week Goals I Mon: Review I Code patterns I Wed: Exam 1 I Pattern Matching I Fri: Lecture 2 Consider: Summing Adjacent Elements 1 (* match_basics.ml: basic demo of pattern matching *) 2 3 (* Create a list comprised of the sum of adjacent pairs of 4 elements in list. The last element in an odd-length list is 5 part of the return as is. *) 6 let rec sum_adj_ie list = 7 if list = [] then (* CASE of empty list *) 8 [] (* base case *) 9 else 10 let a = List.hd list in (* DESTRUCTURE list *) 11 let atail = List.tl list in (* bind names *) 12 if atail = [] then (* CASE of 1 elem left *) 13 [a] (* base case *) 14 else (* CASE of 2 or more elems left *) 15 let b = List.hd atail in (* destructure list *) 16 let tail = List.tl atail in (* bind names *) 17 (a+b) :: (sum_adj_ie tail) (* recursive case *) The above function follows a common paradigm: I Select between Cases during a computation I Cases are based on structure of data I Data is Destructured to bind names to parts of it 3 Pattern Matching in Programming Languages I Pattern Matching as a programming language feature checks that data matches a certain structure the executes if so I Can take many forms such as processing lines of input files that match a regular expression I Pattern Matching in OCaml/ML combines I Case analysis: does the data match a certain structure I Destructure Binding: bind names to parts of the data I Pattern Matching gives OCaml/ML a certain "cool" factor I Associated with the match/with syntax as follows match something with | pattern1 -> result1 (* pattern1 gives result1 *) | pattern2 -> (* pattern 2..