An Analysis of the D Programming Language Sumanth Yenduri University of Mississippi- Long Beach
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Glibc and System Calls Documentation Release 1.0
Glibc and System Calls Documentation Release 1.0 Rishi Agrawal <[email protected]> Dec 28, 2017 Contents 1 Introduction 1 1.1 Acknowledgements...........................................1 2 Basics of a Linux System 3 2.1 Introduction...............................................3 2.2 Programs and Compilation........................................3 2.3 Libraries.................................................7 2.4 System Calls...............................................7 2.5 Kernel.................................................. 10 2.6 Conclusion................................................ 10 2.7 References................................................ 11 3 Working with glibc 13 3.1 Introduction............................................... 13 3.2 Why this chapter............................................. 13 3.3 What is glibc .............................................. 13 3.4 Download and extract glibc ...................................... 14 3.5 Walkthrough glibc ........................................... 14 3.6 Reading some functions of glibc ................................... 17 3.7 Compiling and installing glibc .................................... 18 3.8 Using new glibc ............................................ 21 3.9 Conclusion................................................ 23 4 System Calls On x86_64 from User Space 25 4.1 Setting Up Arguements......................................... 25 4.2 Calling the System Call......................................... 27 4.3 Retrieving the Return Value...................................... -
Preview Objective-C Tutorial (PDF Version)
Objective-C Objective-C About the Tutorial Objective-C is a general-purpose, object-oriented programming language that adds Smalltalk-style messaging to the C programming language. This is the main programming language used by Apple for the OS X and iOS operating systems and their respective APIs, Cocoa and Cocoa Touch. This reference will take you through simple and practical approach while learning Objective-C Programming language. Audience This reference has been prepared for the beginners to help them understand basic to advanced concepts related to Objective-C Programming languages. Prerequisites Before you start doing practice with various types of examples given in this reference, I'm making an assumption that you are already aware about what is a computer program, and what is a computer programming language? Copyright & Disclaimer © Copyright 2015 by Tutorials Point (I) Pvt. Ltd. All the content and graphics published in this e-book are the property of Tutorials Point (I) Pvt. Ltd. The user of this e-book can retain a copy for future reference but commercial use of this data is not allowed. Distribution or republishing any content or a part of the content of this e-book in any manner is also not allowed without written consent of the publisher. We strive to update the contents of our website and tutorials as timely and as precisely as possible, however, the contents may contain inaccuracies or errors. Tutorials Point (I) Pvt. Ltd. provides no guarantee regarding the accuracy, timeliness or completeness of our website or its contents including this tutorial. If you discover any errors on our website or in this tutorial, please notify us at [email protected] ii Objective-C Table of Contents About the Tutorial .................................................................................................................................. -
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. -
Ada-95: a Guide for C and C++ Programmers
Ada-95: A guide for C and C++ programmers by Simon Johnston 1995 Welcome ... to the Ada guide especially written for C and C++ programmers. Summary I have endeavered to present below a tutorial for C and C++ programmers to show them what Ada can provide and how to set about turning the knowledge and experience they have gained in C/C++ into good Ada programming. This really does expect the reader to be familiar with C/C++, although C only programmers should be able to read it OK if they skip section 3. My thanks to S. Tucker Taft for the mail that started me on this. 1 Contents 1 Ada Basics. 7 1.1 C/C++ types to Ada types. 8 1.1.1 Declaring new types and subtypes. 8 1.1.2 Simple types, Integers and Characters. 9 1.1.3 Strings. {3.6.3} ................................. 10 1.1.4 Floating {3.5.7} and Fixed {3.5.9} point. 10 1.1.5 Enumerations {3.5.1} and Ranges. 11 1.1.6 Arrays {3.6}................................... 13 1.1.7 Records {3.8}. ................................. 15 1.1.8 Access types (pointers) {3.10}.......................... 16 1.1.9 Ada advanced types and tricks. 18 1.1.10 C Unions in Ada, (food for thought). 22 1.2 C/C++ statements to Ada. 23 1.2.1 Compound Statement {5.6} ........................... 24 1.2.2 if Statement {5.3} ................................ 24 1.2.3 switch Statement {5.4} ............................. 25 1.2.4 Ada loops {5.5} ................................. 26 1.2.4.1 while Loop . -
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 .......................................................................................................................... -
The Glib/GTK+ Development Platform
The GLib/GTK+ Development Platform A Getting Started Guide Version 0.8 Sébastien Wilmet March 29, 2019 Contents 1 Introduction 3 1.1 License . 3 1.2 Financial Support . 3 1.3 Todo List for this Book and a Quick 2019 Update . 4 1.4 What is GLib and GTK+? . 4 1.5 The GNOME Desktop . 5 1.6 Prerequisites . 6 1.7 Why and When Using the C Language? . 7 1.7.1 Separate the Backend from the Frontend . 7 1.7.2 Other Aspects to Keep in Mind . 8 1.8 Learning Path . 9 1.9 The Development Environment . 10 1.10 Acknowledgments . 10 I GLib, the Core Library 11 2 GLib, the Core Library 12 2.1 Basics . 13 2.1.1 Type Definitions . 13 2.1.2 Frequently Used Macros . 13 2.1.3 Debugging Macros . 14 2.1.4 Memory . 16 2.1.5 String Handling . 18 2.2 Data Structures . 20 2.2.1 Lists . 20 2.2.2 Trees . 24 2.2.3 Hash Tables . 29 2.3 The Main Event Loop . 31 2.4 Other Features . 33 II Object-Oriented Programming in C 35 3 Semi-Object-Oriented Programming in C 37 3.1 Header Example . 37 3.1.1 Project Namespace . 37 3.1.2 Class Namespace . 39 3.1.3 Lowercase, Uppercase or CamelCase? . 39 3.1.4 Include Guard . 39 3.1.5 C++ Support . 39 1 3.1.6 #include . 39 3.1.7 Type Definition . 40 3.1.8 Object Constructor . 40 3.1.9 Object Destructor . -
An Introduction to Numpy and Scipy
An introduction to Numpy and Scipy Table of contents Table of contents ............................................................................................................................ 1 Overview ......................................................................................................................................... 2 Installation ...................................................................................................................................... 2 Other resources .............................................................................................................................. 2 Importing the NumPy module ........................................................................................................ 2 Arrays .............................................................................................................................................. 3 Other ways to create arrays............................................................................................................ 7 Array mathematics .......................................................................................................................... 8 Array iteration ............................................................................................................................... 10 Basic array operations .................................................................................................................. 11 Comparison operators and value testing .................................................................................... -
Worksheet 4. Matrices in Matlab
MS6021 Scientific Computation Worksheet 4 Worksheet 4. Matrices in Matlab Creating matrices in Matlab Matlab has a number of functions for generating elementary and common matri- ces. zeros Array of zeros ones Array of ones eye Identity matrix repmat Replicate and tile array blkdiag Creates block diagonal array rand Uniformly distributed randn Normally distributed random number linspace Linearly spaced vector logspace Logarithmically spaced vector meshgrid X and Y arrays for 3D plots : Regularly spaced vector : Array slicing If given a single argument they construct square matrices. octave:1> eye(4) ans = 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 If given two entries n and m they construct an n × m matrix. octave:2> rand(2,3) ans = 0.42647 0.81781 0.74878 0.69710 0.42857 0.24610 It is also possible to construct a matrix the same size as an existing matrix. octave:3> x=ones(4,5) x = 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 William Lee [email protected] 1 MS6021 Scientific Computation Worksheet 4 octave:4> y=zeros(size(x)) y = 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 • Construct a 4 by 4 matrix whose elements are random numbers evenly dis- tributed between 1 and 2. • Construct a 3 by 3 matrix whose off diagonal elements are 3 and whose diagonal elements are 2. 1001 • Construct the matrix 0101 0011 The size function returns the dimensions of a matrix, while length returns the largest of the dimensions (handy for vectors). -
A Quick Reference to C Programming Language
A Quick Reference to C Programming Language Structure of a C Program #include(stdio.h) /* include IO library */ #include... /* include other files */ #define.. /* define constants */ /* Declare global variables*/) (variable type)(variable list); /* Define program functions */ (type returned)(function name)(parameter list) (declaration of parameter types) { (declaration of local variables); (body of function code); } /* Define main function*/ main ((optional argc and argv arguments)) (optional declaration parameters) { (declaration of local variables); (body of main function code); } Comments Format: /*(body of comment) */ Example: /*This is a comment in C*/ Constant Declarations Format: #define(constant name)(constant value) Example: #define MAXIMUM 1000 Type Definitions Format: typedef(datatype)(symbolic name); Example: typedef int KILOGRAMS; Variables Declarations: Format: (variable type)(name 1)(name 2),...; Example: int firstnum, secondnum; char alpha; int firstarray[10]; int doublearray[2][5]; char firststring[1O]; Initializing: Format: (variable type)(name)=(value); Example: int firstnum=5; Assignments: Format: (name)=(value); Example: firstnum=5; Alpha='a'; Unions Declarations: Format: union(tag) {(type)(member name); (type)(member name); ... }(variable name); Example: union demotagname {int a; float b; }demovarname; Assignment: Format: (tag).(member name)=(value); demovarname.a=1; demovarname.b=4.6; Structures Declarations: Format: struct(tag) {(type)(variable); (type)(variable); ... }(variable list); Example: struct student {int -
Slicing (Draft)
Handling Parallelism in a Concurrency Model Mischael Schill, Sebastian Nanz, and Bertrand Meyer ETH Zurich, Switzerland [email protected] Abstract. Programming models for concurrency are optimized for deal- ing with nondeterminism, for example to handle asynchronously arriving events. To shield the developer from data race errors effectively, such models may prevent shared access to data altogether. However, this re- striction also makes them unsuitable for applications that require data parallelism. We present a library-based approach for permitting parallel access to arrays while preserving the safety guarantees of the original model. When applied to SCOOP, an object-oriented concurrency model, the approach exhibits a negligible performance overhead compared to or- dinary threaded implementations of two parallel benchmark programs. 1 Introduction Writing a multithreaded program can have a variety of very different motiva- tions [1]. Oftentimes, multithreading is a functional requirement: it enables ap- plications to remain responsive to input, for example when using a graphical user interface. Furthermore, it is also an effective program structuring technique that makes it possible to handle nondeterministic events in a modular way; develop- ers take advantage of this fact when designing reactive and event-based systems. In all these cases, multithreading is said to provide concurrency. In contrast to this, the multicore revolution has accentuated the use of multithreading for im- proving performance when executing programs on a multicore machine. In this case, multithreading is said to provide parallelism. Programming models for multithreaded programming generally support ei- ther concurrency or parallelism. For example, the Actor model [2] or Simple Con- current Object-Oriented Programming (SCOOP) [3,4] are typical concurrency models: they are optimized for coordination and event handling, and provide safety guarantees such as absence of data races. -
A Tutorial Introduction to the Language B
A TUTORIAL INTRODUCTION TO THE LANGUAGE B B. W. Kernighan Bell Laboratories Murray Hill, New Jersey 1. Introduction B is a new computer language designed and implemented at Murray Hill. It runs and is actively supported and documented on the H6070 TSS system at Murray Hill. B is particularly suited for non-numeric computations, typified by system programming. These usually involve many complex logical decisions, computations on integers and fields of words, especially charac- ters and bit strings, and no floating point. B programs for such operations are substantially easier to write and understand than GMAP programs. The generated code is quite good. Implementation of simple TSS subsystems is an especially good use for B. B is reminiscent of BCPL [2] , for those who can remember. The original design and implementation are the work of K. L. Thompson and D. M. Ritchie; their original 6070 version has been substantially improved by S. C. Johnson, who also wrote the runtime library. This memo is a tutorial to make learning B as painless as possible. Most of the features of the language are mentioned in passing, but only the most important are stressed. Users who would like the full story should consult A User’s Reference to B on MH-TSS, by S. C. Johnson [1], which should be read for details any- way. We will assume that the user is familiar with the mysteries of TSS, such as creating files, text editing, and the like, and has programmed in some language before. Throughout, the symbolism (->n) implies that a topic will be expanded upon in section n of this manual. -
Quick Tips and Tricks: Perl Regular Expressions in SAS® Pratap S
Paper 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.