Compile and Runtime Errors in Java
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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. -
Universidade Salvador – Unifacs Programa De Pós-Graduação Em Redes De Computadores Mestrado Profissional Em Redes De Computadores
UNIVERSIDADE SALVADOR – UNIFACS PROGRAMA DE PÓS-GRADUAÇÃO EM REDES DE COMPUTADORES MESTRADO PROFISSIONAL EM REDES DE COMPUTADORES DEMIAN LESSA INTERFACES GRÁFICAS COM O USUÁRIO: UMA ABORDAGEM BASEADA EM PADRÕES Salvador 2005 DEMIAN LESSA INTERFACES GRÁFICAS COM O USUÁRIO: UMA ABORDAGEM BASEADA EM PADRÕES Dissertação apresentada ao Mestrado Profissional em Redes de Computadores da Universidade Salvador – UNIFACS, como requisito parcial para obtenção do grau de Mestre. Orientador: Prof. Dr. Manoel Gomes de Mendonça. Salvador 2005 Lessa, Demian Interfaces gráficas com o usuário: uma abordagem baseada em padrões / Demian Lessa. – Salvador, 2005. 202 f.: il. Dissertação apresentada ao Mestrado Profissional em Redes de Computadores da Universidade Salvador – UNIFACS, como requisito parcial para a obtenção do grau de Mestre. Orientador: Prof. Dr. Manoel Gomes de Mendonça. 1. Interfaces gráficas para usuário - Sistema de computador. I. Mendonça, Manoel Gomes de, orient. II. Título. TERMO DE APROVAÇÃO DEMIAN LESSA INTERFACES GRÁFICAS COM O USUÁRIO: UMA ABORDAGEM BASEADA EM PADRÕES Dissertação aprovada como requisito parcial para obtenção do grau de Mestre em em Redes de Computadores da Universidade Salvador – UNIFACS, pela seguinte banca examinadora: Manoel Gomes de Mendonça – Orientador _________________________________ Doutor em Ciência da Computação pela Universidade de Maryland em College Park, Estados Unidos Universidade Salvador - UNIFACS Celso Alberto Saibel Santos ____________________________________________ Doutor em Informatique Fondamentalle et Parallelisme pelo Université Paul Sabatier de Toulouse III, França Universidade Federal da Bahia – UFBA Flávio Morais de Assis Silva _____________________________________________ Doutor em Informática pelo Technische Universität Berlin, Alemanha Universidade Federal da Bahia – UFBA Salvador de de 2005 A meus pais, Luiz e Ines, pelo constante incentivo intelectual e, muito especialmente, por todo amor e carinho repetidamente demonstrados. -
Gotcha Again More Subtleties in the Verilog and Systemverilog Standards That Every Engineer Should Know
Gotcha Again More Subtleties in the Verilog and SystemVerilog Standards That Every Engineer Should Know Stuart Sutherland Sutherland HDL, Inc. [email protected] Don Mills LCDM Engineering [email protected] Chris Spear Synopsys, Inc. [email protected] ABSTRACT The definition of gotcha is: “A misfeature of....a programming language...that tends to breed bugs or mistakes because it is both enticingly easy to invoke and completely unexpected and/or unreasonable in its outcome. A classic gotcha in C is the fact that ‘if (a=b) {code;}’ is syntactically valid and sometimes even correct. It puts the value of b into a and then executes code if a is non-zero. What the programmer probably meant was ‘if (a==b) {code;}’, which executes code if a and b are equal.” (http://www.hyperdictionary.com/computing/gotcha). This paper documents 38 gotchas when using the Verilog and SystemVerilog languages. Some of these gotchas are obvious, and some are very subtle. The goal of this paper is to reveal many of the mysteries of Verilog and SystemVerilog, and help engineers understand the important underlying rules of the Verilog and SystemVerilog languages. The paper is a continuation of a paper entitled “Standard Gotchas: Subtleties in the Verilog and SystemVerilog Standards That Every Engineer Should Know” that was presented at the Boston 2006 SNUG conference [1]. SNUG San Jose 2007 1 More Gotchas in Verilog and SystemVerilog Table of Contents 1.0 Introduction ............................................................................................................................3 2.0 Design modeling gotchas .......................................................................................................4 2.1 Overlapped decision statements ................................................................................... 4 2.2 Inappropriate use of unique case statements ............................................................... -
The LLVM Instruction Set and Compilation Strategy
The LLVM Instruction Set and Compilation Strategy Chris Lattner Vikram Adve University of Illinois at Urbana-Champaign lattner,vadve ¡ @cs.uiuc.edu Abstract This document introduces the LLVM compiler infrastructure and instruction set, a simple approach that enables sophisticated code transformations at link time, runtime, and in the field. It is a pragmatic approach to compilation, interfering with programmers and tools as little as possible, while still retaining extensive high-level information from source-level compilers for later stages of an application’s lifetime. We describe the LLVM instruction set, the design of the LLVM system, and some of its key components. 1 Introduction Modern programming languages and software practices aim to support more reliable, flexible, and powerful software applications, increase programmer productivity, and provide higher level semantic information to the compiler. Un- fortunately, traditional approaches to compilation either fail to extract sufficient performance from the program (by not using interprocedural analysis or profile information) or interfere with the build process substantially (by requiring build scripts to be modified for either profiling or interprocedural optimization). Furthermore, they do not support optimization either at runtime or after an application has been installed at an end-user’s site, when the most relevant information about actual usage patterns would be available. The LLVM Compilation Strategy is designed to enable effective multi-stage optimization (at compile-time, link-time, runtime, and offline) and more effective profile-driven optimization, and to do so without changes to the traditional build process or programmer intervention. LLVM (Low Level Virtual Machine) is a compilation strategy that uses a low-level virtual instruction set with rich type information as a common code representation for all phases of compilation. -
CSCE A201 Computer Programming I Lab 0
CSCE A201 Computer Programming I Lab 0 Lecture Instructors: Dr. Kenrick Mock, MW 11:30‐12:45pm Dr. Frank Witmer, TR 10‐11:15am Lab Assistants: Deanna Flynn Elisha Waugh Goals for Today • Introduce lab assistants • Meet some of your classmates • Introduction to Dr. Java • Understand platform independence • Write your first (!?) Java program Syllabus Highlights wrt. Lab • May students collaborate on lab assignments? • May students collaborate on programming assignments? • What percentage of the total course grade is determined by lab? • How is the lab grade determined? Introduce your Neighbor 1. Name 2. Hometown 3. Something interesting (e.g. hobby or recent trip) Some Java Development Environments • Dr. Java – from Rice University, simple & effective – standalone executable (installation instructions on Blackboard) • jGRASP – NSF funded at Auburn University • Intellij IDEA – good code completion & error messages – https://www.jetbrains.com/idea/ • NetBeans – from Oracle, good for multiple, larger projects • Eclipse – more plug‐ins, more customizable – good for Android development) • TextPad (initially free, but then ~$30) • Any text editor & command line – Notepad++ with Cygwin/DOS – emacs, vim, nano with unix/linux • See also Appendix 1 in Savitch book Java Example • Class Hello must be stored in file Hello.java public class Hello { public static void main(String[] args) { System.out.println("Hello world."); } } Platform Independence Demo • Compile java & C++ programs on linux – Which executable/bytecode will run on a Windows machine? Platform Independence • Use ‘javac’ command to compile Java source code .java files high‐level language • Use ‘java’ command to run Java bytecode .class and .jar (Java Archive) files low‐level language Same bytecodes can run any platform with an appropriate JVM (‘java’) Lab 0 Exercise 1. -
The Interplay of Compile-Time and Run-Time Options for Performance Prediction Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel
The Interplay of Compile-time and Run-time Options for Performance Prediction Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel To cite this version: Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel. The Interplay of Compile-time and Run-time Options for Performance Prediction. SPLC 2021 - 25th ACM Inter- national Systems and Software Product Line Conference - Volume A, Sep 2021, Leicester, United Kingdom. pp.1-12, 10.1145/3461001.3471149. hal-03286127 HAL Id: hal-03286127 https://hal.archives-ouvertes.fr/hal-03286127 Submitted on 15 Jul 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The Interplay of Compile-time and Run-time Options for Performance Prediction Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel Univ Rennes, INSA Rennes, CNRS, Inria, IRISA Rennes, France [email protected] ABSTRACT Both compile-time and run-time options can be configured to reach Many software projects are configurable through compile-time op- specific functional and performance goals. tions (e.g., using ./configure) and also through run-time options (e.g., Existing studies consider either compile-time or run-time op- command-line parameters, fed to the software at execution time). -
Compiler Error Messages Considered Unhelpful: the Landscape of Text-Based Programming Error Message Research
Working Group Report ITiCSE-WGR ’19, July 15–17, 2019, Aberdeen, Scotland Uk Compiler Error Messages Considered Unhelpful: The Landscape of Text-Based Programming Error Message Research Brett A. Becker∗ Paul Denny∗ Raymond Pettit∗ University College Dublin University of Auckland University of Virginia Dublin, Ireland Auckland, New Zealand Charlottesville, Virginia, USA [email protected] [email protected] [email protected] Durell Bouchard Dennis J. Bouvier Brian Harrington Roanoke College Southern Illinois University Edwardsville University of Toronto Scarborough Roanoke, Virgina, USA Edwardsville, Illinois, USA Scarborough, Ontario, Canada [email protected] [email protected] [email protected] Amir Kamil Amey Karkare Chris McDonald University of Michigan Indian Institute of Technology Kanpur University of Western Australia Ann Arbor, Michigan, USA Kanpur, India Perth, Australia [email protected] [email protected] [email protected] Peter-Michael Osera Janice L. Pearce James Prather Grinnell College Berea College Abilene Christian University Grinnell, Iowa, USA Berea, Kentucky, USA Abilene, Texas, USA [email protected] [email protected] [email protected] ABSTRACT of evidence supporting each one (historical, anecdotal, and empiri- Diagnostic messages generated by compilers and interpreters such cal). This work can serve as a starting point for those who wish to as syntax error messages have been researched for over half of a conduct research on compiler error messages, runtime errors, and century. Unfortunately, these messages which include error, warn- warnings. We also make the bibtex file of our 300+ reference corpus ing, and run-time messages, present substantial difficulty and could publicly available. -
Design and Implementation of Generics for the .NET Common Language Runtime
Design and Implementation of Generics for the .NET Common Language Runtime Andrew Kennedy Don Syme Microsoft Research, Cambridge, U.K. fakeÒÒ¸d×ÝÑeg@ÑicÖÓ×ÓfغcÓÑ Abstract cally through an interface definition language, or IDL) that is nec- essary for language interoperation. The Microsoft .NET Common Language Runtime provides a This paper describes the design and implementation of support shared type system, intermediate language and dynamic execution for parametric polymorphism in the CLR. In its initial release, the environment for the implementation and inter-operation of multiple CLR has no support for polymorphism, an omission shared by the source languages. In this paper we extend it with direct support for JVM. Of course, it is always possible to “compile away” polymor- parametric polymorphism (also known as generics), describing the phism by translation, as has been demonstrated in a number of ex- design through examples written in an extended version of the C# tensions to Java [14, 4, 6, 13, 2, 16] that require no change to the programming language, and explaining aspects of implementation JVM, and in compilers for polymorphic languages that target the by reference to a prototype extension to the runtime. JVM or CLR (MLj [3], Haskell, Eiffel, Mercury). However, such Our design is very expressive, supporting parameterized types, systems inevitably suffer drawbacks of some kind, whether through polymorphic static, instance and virtual methods, “F-bounded” source language restrictions (disallowing primitive type instanti- type parameters, instantiation at pointer and value types, polymor- ations to enable a simple erasure-based translation, as in GJ and phic recursion, and exact run-time types. -
Advanced Practical Programming for Scientists
Advanced practical Programming for Scientists Thorsten Koch Zuse Institute Berlin TU Berlin SS2017 The Zen of Python, by Tim Peters (part 1) ▶︎ Beautiful is better than ugly. ▶︎ Explicit is better than implicit. ▶︎ Simple is better than complex. ▶︎ Complex is better than complicated. ▶︎ Flat is better than nested. ▶︎ Sparse is better than dense. ▶︎ Readability counts. ▶︎ Special cases aren't special enough to break the rules. ▶︎ Although practicality beats purity. ▶︎ Errors should never pass silently. ▶︎ Unless explicitly silenced. ▶︎ In the face of ambiguity, refuse the temptation to guess. Advanced Programming 78 Ex1 again • Remember: store the data and compute the geometric mean on this stored data. • If it is not obvious how to compile your program, add a REAME file or a comment at the beginning • It should run as ex1 filenname • If you need to start something (python, python3, ...) provide an executable script named ex1 which calls your program, e.g. #/bin/bash python3 ex1.py $1 • Compare the number of valid values. If you have a lower number, you are missing something. If you have a higher number, send me the wrong line I am missing. File: ex1-100.dat with 100001235 lines Valid values Loc0: 50004466 with GeoMean: 36.781736 Valid values Loc1: 49994581 with GeoMean: 36.782583 Advanced Programming 79 Exercise 1: File Format (more detail) Each line should consists of • a sequence-number, • a location (1 or 2), and • a floating point value > 0. Empty lines are allowed. Comments can start a ”#”. Anything including and after “#” on a line should be ignored. -
Java Ide's One-On-One*
DR. J VS. THE BIRD: JAVA IDE'S ONE-ON-ONE* Michael Olan Computer Science and Information Systems Richard Stockton College Pomona, NJ 08240 609-652-4587 [email protected] ABSTRACT An important decision facing instructors of introductory programming courses is the choice of supporting software development tools. Usually this involves selecting an integrated development environment (IDE). BlueJ has received widespread adoption for first year courses that use the Java programming language; however, DrJava is emerging as an alternative. This paper features a comparison of the pedagogical approaches used by BlueJ and DrJava as a guideline for selecting the tool best suited to the teaching style used in the introductory course. 1. INTRODUCTION The choice was simple when text editors and the command line were the only tools for developing programs. That changed with the introduction of integrated development environments (IDE's), and campuses nationwide adopted Borland's Turbo Pascal. Languages also have changed. Pascal was designed as a teaching language, but now academic programs use advanced languages designed for professional software engineers. Making these complex languages accessible to beginning students requires a careful selection of the development environment. This discussion will only include Java, currently the dominant language choice for introductory courses. Let us first consider several levels of tool support in the introductory course sequence: 1) Minimal: A text editor and the command line. 2) Simple IDE: Just the basics, no bells and whistles. 3) Professional IDE: Powerful and feature filled. ___________________________________________ * Copyright © 2004 by the Consortium for Computing Sciences in Colleges. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the CCSC copyright notice and the title of the publication and its date appear, and notice is given that copying is by permission of the Consortium for Computing Sciences in Colleges. -
Assignment 6: Subtyping and Bidirectional Typing
Assignment 6: Subtyping and Bidirectional Typing 15-312: Foundations of Programming Languages Joshua Dunfield ([email protected]) Out: Thursday, October 24, 2002 Due: Thursday, November 7 (11:59:59 pm) 100 points total + (up to) 20 points extra credit 1 Introduction In this assignment, you will implement a bidirectional typechecker for MinML with , , +, 1, 0, , , and subtyping with base types int and float. ! ∗ 8 9 Note: In the .sml files, most changes from Assignment 4 are indicated like this: (* new asst6 code: *) ... (* end asst6 code *) 2 New in this assignment Some things have become obsolete (and have either been removed or left • in a semi-supported state). Exceptions and continuations are no longer “officially” supported. One can now (and sometimes must!) write type annotations e : τ. The • abstract syntax constructor is called Anno. The lexer supports shell-style comments in .mml source files: any line • beginning with # is ignored. There are now two valid syntaxes for functions, the old syntax fun f (x:t1):t2 is e end • and a new syntax fun f(x) is e end. Note the lack of type anno- tations. The definition of the abstract syntax constructor Fun has been changed; its arguments are now just bindings for f and x and the body. It no longer takes two types. 1 The old syntax fun f(x:t1):t2 is e end is now just syntactic sugar, transformed by the parser into fun f(x) is e end : t1 -> t2. There are floating point numbers, written as in SML. There is a new set of • arithmetic operators +., -., *., ˜. -
(901133) Instructor: Eng
home Al-Albayt University Computer Science Department C++ Programming 1 (901133) Instructor: Eng. Rami Jaradat [email protected] 1 home Subjects 1. Introduction to C++ Programming 2. Control Structures 3. Functions 4. Arrays 5. Pointers 6. Strings 2 home 1 - Introduction to C++ Programming 3 home What is computer? • Computers are programmable devices capable of performing computations and making logical decisions. • Computers can store, retrieve, and process data according to a list of instructions • Hardware is the physical part of the compute: keyboard, screen, mouse, disks, memory, and processing units • Software is a collection of computer programs, procedures and documentation that perform some tasks on a computer system 4 home Computer Logical Units • Input unit – obtains information (data) from input devices • Output unit – outputs information to output device or to control other devices. • Memory unit – Rapid access, low capacity, stores information • Secondary storage unit – cheap, long-term, high-capacity storage, stores inactive programs • Arithmetic and logic unit (ALU) – performs arithmetic calculations and logic decisions • Central processing unit (CPU): – supervises and coordinates the other sections of the computer 5 home Computer language • Machine languages: machine dependent, it consists of strings of numbers giving machine specific instructions: +1300042774 +1400593419 +1200274027 • Assembly languages: English-like abbreviations representing elementary operations, assemblers convert assembly language to machine