Angular Scope Reference Variable in Html
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 -
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). -
Approved DITA 2.0 Proposals
DITA Technical Committee DITA 2.0 proposals DITA TC work product Page 1 of 189 Table of contents 1 Overview....................................................................................................................................................3 2 DITA 2.0: Stage two proposals.................................................................................................................. 3 2.1 Stage two: #08 <include> element.................................................................................................... 3 2.2 Stage two: #15 Relax specialization rules......................................................................................... 7 2.3 Stage two: #17 Make @outputclass universal...................................................................................9 2.4 Stage two: #18 Make audience, platform, product, otherprops into specializations........................12 2.5 Stage two: #27 Multimedia domain..................................................................................................16 2.6 Stage two: #29 Update bookmap.................................................................................................... 20 2.7 Stage two: #36 Remove deprecated elements and attributes.........................................................23 2.8 Stage two: #46: Remove @xtrf and @xtrc...................................................................................... 31 2.9 Stage 2: #73 Remove delayed conref domain.................................................................................36 -
XRI 2.0 FAQ 1 December 2005
XRI 2.0 FAQ 1 December 2005 This document is a comprehensive FAQ on the XRI 2.0 suite of specifications, with a particular emphasis on the XRI Syntax 2.0 Committee Specification which was submitted for consideration as an OASIS Standard on November 14, 2005. 1 General..................................................................................... 3 1.1 What does the acronym XRI stand for? ................................................................3 1.2 What is the relationship of XRI to URI and IRI? ....................................................3 1.3 Why was XRI needed?..........................................................................................3 1.4 Who is involved in the XRI specification effort? ....................................................4 1.5 What is the XRI 2.0 specification suite? ................................................................4 1.6 Are there any intellectual property restrictions on XRI? ........................................4 2 Uses of XRI .............................................................................. 5 2.1 What things do XRIs identify? ...............................................................................5 2.2 What are some example uses of XRI?..................................................................5 2.3 What are some applications that use XRI? ...........................................................5 3 Features of XRI Syntax ........................................................... 6 3.1 What were some of the design requirements -
List of Different Digital Practices 3
Categories of Digital Poetics Practices (from the Electronic Literature Collection) http://collection.eliterature.org/1/ (Electronic Literature Collection, Vol 1) http://collection.eliterature.org/2/ (Electronic Literature Collection, Vol 2) Ambient: Work that plays by itself, meant to evoke or engage intermittent attention, as a painting or scrolling feed would; in John Cayley’s words, “a dynamic linguistic wall- hanging.” Such work does not require or particularly invite a focused reading session. Kinetic (Animated): Kinetic work is composed with moving images and/or text but is rarely an actual animated cartoon. Transclusion, Mash-Up, or Appropriation: When the supply text for a piece is not composed by the authors, but rather collected or mined from online or print sources, it is appropriated. The result of appropriation may be a “mashup,” a website or other piece of digital media that uses content from more than one source in a new configuration. Audio: Any work with an audio component, including speech, music, or sound effects. CAVE: An immersive, shared virtual reality environment created using goggles and several pairs of projectors, each pair pointing to the wall of a small room. Chatterbot/Conversational Character: A chatterbot is a computer program designed to simulate a conversation with one or more human users, usually in text. Chatterbots sometimes seem to offer intelligent responses by matching keywords in input, using statistical methods, or building models of conversation topic and emotional state. Early systems such as Eliza and Parry demonstrated that simple programs could be effective in many ways. Chatterbots may also be referred to as talk bots, chat bots, simply “bots,” or chatterboxes. -
Scope in Fortran 90
Scope in Fortran 90 The scope of objects (variables, named constants, subprograms) within a program is the portion of the program in which the object is visible (can be use and, if it is a variable, modified). It is important to understand the scope of objects not only so that we know where to define an object we wish to use, but also what portion of a program unit is effected when, for example, a variable is changed, and, what errors might occur when using identifiers declared in other program sections. Objects declared in a program unit (a main program section, module, or external subprogram) are visible throughout that program unit, including any internal subprograms it hosts. Such objects are said to be global. Objects are not visible between program units. This is illustrated in Figure 1. Figure 1: The figure shows three program units. Main program unit Main is a host to the internal function F1. The module program unit Mod is a host to internal function F2. The external subroutine Sub hosts internal function F3. Objects declared inside a program unit are global; they are visible anywhere in the program unit including in any internal subprograms that it hosts. Objects in one program unit are not visible in another program unit, for example variable X and function F3 are not visible to the module program unit Mod. Objects in the module Mod can be imported to the main program section via the USE statement, see later in this section. Data declared in an internal subprogram is only visible to that subprogram; i.e. -
Programming Language Concepts/Binding and Scope
Programming Language Concepts/Binding and Scope Programming Language Concepts/Binding and Scope Onur Tolga S¸ehito˘glu Bilgisayar M¨uhendisli˘gi 11 Mart 2008 Programming Language Concepts/Binding and Scope Outline 1 Binding 6 Declarations 2 Environment Definitions and Declarations 3 Block Structure Sequential Declarations Monolithic block structure Collateral Declarations Flat block structure Recursive declarations Nested block structure Recursive Collateral Declarations 4 Hiding Block Expressions 5 Static vs Dynamic Scope/Binding Block Commands Static binding Block Declarations Dynamic binding 7 Summary Programming Language Concepts/Binding and Scope Binding Binding Most important feature of high level languages: programmers able to give names to program entities (variable, constant, function, type, ...). These names are called identifiers. Programming Language Concepts/Binding and Scope Binding Binding Most important feature of high level languages: programmers able to give names to program entities (variable, constant, function, type, ...). These names are called identifiers. definition of an identifier ⇆ used position of an identifier. Formally: binding occurrence ⇆ applied occurrence. Programming Language Concepts/Binding and Scope Binding Binding Most important feature of high level languages: programmers able to give names to program entities (variable, constant, function, type, ...). These names are called identifiers. definition of an identifier ⇆ used position of an identifier. Formally: binding occurrence ⇆ applied occurrence. Identifiers are declared once, used n times. Programming Language Concepts/Binding and Scope Binding Binding Most important feature of high level languages: programmers able to give names to program entities (variable, constant, function, type, ...). These names are called identifiers. definition of an identifier ⇆ used position of an identifier. Formally: binding occurrence ⇆ applied occurrence. Identifiers are declared once, used n times. -
Web Boot Camp Week 1 (Custom for Liberty)
"Charting the Course ... ... to Your Success!" Web Boot Camp Week 1 (Custom for Liberty) Course Summary Description This class is designed for students that have experience with HTML5 and CSS3 and wish to learn about, JavaScript and jQuery and AngularJS. Topics Introduction to the Course Designing Responsive Web Applications Introduction to JavaScript Data Types and Assignment Operators Flow Control JavaScript Events JavaScript Objects JavaScript Arrays JavaScript Functions The JavaScript Window and Document Objects JavaScript and CSS Introduction to jQuery Introduction to jQuery UI jQuery and Ajax Introduction to AngularJS Additional AngularJS Topics The Angular $http Service AngularJS Filters AngularJS Directives AngularJS Forms Testing JavaScript Introduction to AngularJS 2 Prerequisites Prior knowledge of HTML5 and CSS3 is required. Duration Five days Due to the nature of this material, this document refers to numerous hardware and software products by their trade names. References to other companies and their products are for informational purposes only, and all trademarks are the properties of their respective companies. It is not the intent of ProTech Professional Technical Services, Inc. to use any of these names generically "Charting the Course ... ... to Your Success!" TDP Web Week 1: HTML5/CSS3/JavaScript Programming Course Outline I. Introduction to the Course O. Client-Side JavaScript Objects A. TDP Web Bootcamp Week 1, 2016 P. Embedding JavaScript in HTML B. Legal Information Q. Using the script Tag C. TDP Web Bootcamp Week 1, 2016 R. Using an External File D. Introductions S. Defining Functions E. Course Description T. Modifying Page Elements F. Course Objectives U. The Form Submission Event G. Course Logistics V. -
Names, Scopes, and Bindings (Cont.)
Chapter 3:: Names, Scopes, and Bindings (cont.) Programming Language Pragmatics Michael L. Scott Copyright © 2005 Elsevier Review • What is a regular expression ? • What is a context-free grammar ? • What is BNF ? • What is a derivation ? • What is a parse ? • What are terminals/non-terminals/start symbol ? • What is Kleene star and how is it denoted ? • What is binding ? Copyright © 2005 Elsevier Review • What is early/late binding with respect to OOP and Java in particular ? • What is scope ? • What is lifetime? • What is the “general” basic relationship between compile time/run time and efficiency/flexibility ? • What is the purpose of scope rules ? • What is central to recursion ? Copyright © 2005 Elsevier 1 Lifetime and Storage Management • Maintenance of stack is responsibility of calling sequence and subroutine prolog and epilog – space is saved by putting as much in the prolog and epilog as possible – time may be saved by • putting stuff in the caller instead or • combining what's known in both places (interprocedural optimization) Copyright © 2005 Elsevier Lifetime and Storage Management • Heap for dynamic allocation Copyright © 2005 Elsevier Scope Rules •A scope is a program section of maximal size in which no bindings change, or at least in which no re-declarations are permitted (see below) • In most languages with subroutines, we OPEN a new scope on subroutine entry: – create bindings for new local variables, – deactivate bindings for global variables that are re- declared (these variable are said to have a "hole" in their -
Autonomous Agents on the Web
Report from Dagstuhl Seminar 21072 Autonomous Agents on the Web Edited by Olivier Boissier1, Andrei Ciortea2, Andreas Harth3, and Alessandro Ricci4 1 Ecole des Mines – St. Etienne, FR, [email protected] 2 Universität St. Gallen, CH, [email protected] 3 Fraunhofer IIS – Nürnberg, DE, [email protected] 4 Università di Bologna, IT, [email protected] Abstract The World Wide Web has emerged as the middleware of choice for most distributed systems. Recent standardization efforts for the Web of Things and Linked Data are now turning hypermedia into a homogeneous information fabric that interconnects everything – devices, information resources, abstract concepts, etc. The latest standards allow clients not only to browse and query, but also to observe and act on this hypermedia fabric. Researchers and practitioners are already looking for means to build more sophisticated clients able to meet their design objectives through flexible autonomous use of this hypermedia fabric. Such autonomous agents have been studied to large extent in research on distributed artificial intelligence and, in particular, multi-agent systems. These recent developments thus motivate the need for a broader perspective that can only be achieved through a concerted effort of the research communities on the Web Architecture and the Web of Things, Semantic Web and Linked Data, and Autonomous Agents and Multi-Agent Systems. The Dagstuhl Seminar 21072 on “Autonomous Agents on the Web” brought together leading scholars and practitioners across these research areas in order to support the transfer of knowledge and results – and to discuss new opportunities for research on Web-based autonomous systems. This report documents the seminar’s program and outcomes. -
Class 15: Implementing Scope in Function Calls
Class 15: Implementing Scope in Function Calls SI 413 - Programming Languages and Implementation Dr. Daniel S. Roche United States Naval Academy Fall 2011 Roche (USNA) SI413 - Class 15 Fall 2011 1 / 10 Implementing Dynamic Scope For dynamic scope, we need a stack of bindings for every name. These are stored in a Central Reference Table. This primarily consists of a mapping from a name to a stack of values. The Central Reference Table may also contain a stack of sets, each containing identifiers that are in the current scope. This tells us which values to pop when we come to an end-of-scope. Roche (USNA) SI413 - Class 15 Fall 2011 2 / 10 Example: Central Reference Tables with Lambdas { new x := 0; new i := -1; new g := lambda z{ ret :=i;}; new f := lambda p{ new i :=x; i f (i>0){ ret :=p(0); } e l s e { x :=x + 1; i := 3; ret :=f(g); } }; w r i t e f( lambda y{ret := 0}); } What gets printed by this (dynamically-scoped) SPL program? Roche (USNA) SI413 - Class 15 Fall 2011 3 / 10 (dynamic scope, shallow binding) (dynamic scope, deep binding) (lexical scope) Example: Central Reference Tables with Lambdas The i in new g := lambda z{ w r i t e i;}; from the previous program could be: The i in scope when the function is actually called. The i in scope when g is passed as p to f The i in scope when g is defined Roche (USNA) SI413 - Class 15 Fall 2011 4 / 10 Example: Central Reference Tables with Lambdas The i in new g := lambda z{ w r i t e i;}; from the previous program could be: The i in scope when the function is actually called.