Objective-C Language
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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 .................................................................................................................................. -
Memory Management and Garbage Collection
Overview Memory Management Stack: Data on stack (local variables on activation records) have lifetime that coincides with the life of a procedure call. Memory for stack data is allocated on entry to procedures ::: ::: and de-allocated on return. Heap: Data on heap have lifetimes that may differ from the life of a procedure call. Memory for heap data is allocated on demand (e.g. malloc, new, etc.) ::: ::: and released Manually: e.g. using free Automatically: e.g. using a garbage collector Compilers Memory Management CSE 304/504 1 / 16 Overview Memory Allocation Heap memory is divided into free and used. Free memory is kept in a data structure, usually a free list. When a new chunk of memory is needed, a chunk from the free list is returned (after marking it as used). When a chunk of memory is freed, it is added to the free list (after marking it as free) Compilers Memory Management CSE 304/504 2 / 16 Overview Fragmentation Free space is said to be fragmented when free chunks are not contiguous. Fragmentation is reduced by: Maintaining different-sized free lists (e.g. free 8-byte cells, free 16-byte cells etc.) and allocating out of the appropriate list. If a small chunk is not available (e.g. no free 8-byte cells), grab a larger chunk (say, a 32-byte chunk), subdivide it (into 4 smaller chunks) and allocate. When a small chunk is freed, check if it can be merged with adjacent areas to make a larger chunk. Compilers Memory Management CSE 304/504 3 / 16 Overview Manual Memory Management Programmer has full control over memory ::: with the responsibility to manage it well Premature free's lead to dangling references Overly conservative free's lead to memory leaks With manual free's it is virtually impossible to ensure that a program is correct and secure. -
Strings in C++
Programming Abstractions C S 1 0 6 X Cynthia Lee Today’s Topics Introducing C++ from the Java Programmer’s Perspective . Absolute value example, continued › C++ strings and streams ADTs: Abstract Data Types . Introduction: What are ADTs? . Queen safety example › Grid data structure › Passing objects by reference • const reference parameters › Loop over “neighbors” in a grid Strings in C++ STRING LITERAL VS STRING CLASS CONCATENATION STRING CLASS METHODS 4 Using cout and strings int main(){ int n = absoluteValue(-5); string s = "|-5|"; s += " = "; • This prints |-5| = 5 cout << s << n << endl; • The + operator return 0; concatenates strings, } and += works in the way int absoluteValue(int n) { you’d expect. if (n<0){ n = -n; } return n; } 5 Using cout and strings int main(){ int n = absoluteValue(-5); But SURPRISE!…this one string s = "|-5|" + " = "; doesn’t work. cout << s << n << endl; return 0; } int absoluteValue(int n) { if (n<0){ n = -n; } return n; } C++ string objects and string literals . In this class, we will interact with two types of strings: › String literals are just hard-coded string values: • "hello!" "1234" "#nailedit" • They have no methods that do things for us • Think of them like integer literals: you can’t do "4.add(5);" //no › String objects are objects with lots of helpful methods and operators: • string s; • string piece = s.substr(0,3); • s.append(t); //or, equivalently: s+= t; String object member functions (3.2) Member function name Description s.append(str) add text to the end of a string s.compare(str) return -
Project Snowflake: Non-Blocking Safe Manual Memory Management in .NET
Project Snowflake: Non-blocking Safe Manual Memory Management in .NET Matthew Parkinson Dimitrios Vytiniotis Kapil Vaswani Manuel Costa Pantazis Deligiannis Microsoft Research Dylan McDermott Aaron Blankstein Jonathan Balkind University of Cambridge Princeton University July 26, 2017 Abstract Garbage collection greatly improves programmer productivity and ensures memory safety. Manual memory management on the other hand often delivers better performance but is typically unsafe and can lead to system crashes or security vulnerabilities. We propose integrating safe manual memory management with garbage collection in the .NET runtime to get the best of both worlds. In our design, programmers can choose between allocating objects in the garbage collected heap or the manual heap. All existing applications run unmodified, and without any performance degradation, using the garbage collected heap. Our programming model for manual memory management is flexible: although objects in the manual heap can have a single owning pointer, we allow deallocation at any program point and concurrent sharing of these objects amongst all the threads in the program. Experimental results from our .NET CoreCLR implementation on real-world applications show substantial performance gains especially in multithreaded scenarios: up to 3x savings in peak working sets and 2x improvements in runtime. 1 Introduction The importance of garbage collection (GC) in modern software cannot be overstated. GC greatly improves programmer productivity because it frees programmers from the burden of thinking about object lifetimes and freeing memory. Even more importantly, GC prevents temporal memory safety errors, i.e., uses of memory after it has been freed, which often lead to security breaches. Modern generational collectors, such as the .NET GC, deliver great throughput through a combination of fast thread-local bump allocation and cheap collection of young objects [63, 18, 61]. -
Garbage Collection for Java Distributed Objects
GARBAGE COLLECTION FOR JAVA DISTRIBUTED OBJECTS by Andrei A. Dãncus A Thesis Submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements of the Degree of Master of Science in Computer Science by ____________________________ Andrei A. Dãncus Date: May 2nd, 2001 Approved: ___________________________________ Dr. David Finkel, Advisor ___________________________________ Dr. Mark L. Claypool, Reader ___________________________________ Dr. Micha Hofri, Head of Department Abstract We present a distributed garbage collection algorithm for Java distributed objects using the object model provided by the Java Support for Distributed Objects (JSDA) object model and using weak references in Java. The algorithm can also be used for any other Java based distributed object models that use the stub-skeleton paradigm. Furthermore, the solution could also be applied to any language that supports weak references as a mean of interaction with the local garbage collector. We also give a formal definition and a proof of correctness for the proposed algorithm. i Acknowledgements I would like to express my gratitude to my advisor Dr. David Finkel, for his encouragement and guidance over the last two years. I also want to thank Dr. Mark Claypool for being the reader of this thesis. Thanks to Radu Teodorescu, co-author of the initial JSDA project, for reviewing portions of the JSDA Parser. ii Table of Contents 1. Introduction……………………………………………………………………………1 2. Background and Related Work………………………………………………………3 2.1 Distributed -
Variable Feature Usage Patterns in PHP
Variable Feature Usage Patterns in PHP Mark Hills East Carolina University, Greenville, NC, USA [email protected] Abstract—PHP allows the names of variables, classes, func- and classes at runtime. Below, we refer to these generally as tions, methods, and properties to be given dynamically, as variable features, and specifically as, e.g., variable functions expressions that, when evaluated, return an identifier as a string. or variable methods. While this provides greater flexibility for programmers, it also makes PHP programs harder to precisely analyze and understand. The main contributions presented in this paper are as follows. In this paper we present a number of patterns designed to First, taking advantage of our prior work, we have developed recognize idiomatic uses of these features that can be statically a number of patterns for detecting idiomatic uses of variable resolved to a precise set of possible names. We then evaluate these features in PHP programs and for resolving these uses to a patterns across a corpus of 20 open-source systems totaling more set of possible names. Written using the Rascal programming than 3.7 million lines of PHP, showing how often these patterns occur in actual PHP code, demonstrating their effectiveness at language [2], [3], these patterns work over the ASTs of the statically determining the names that can be used at runtime, PHP scripts, with more advanced patterns also taking advantage and exploring anti-patterns that indicate when the identifier of control flow graphs and lightweight analysis algorithms for computation is truly dynamic. detecting value flow and reachability. Each of these patterns works generally across all variable features, instead of being I. -
Strings String Literals String Variables Warning!
Strings String literals • Strings are not a built-in data type. char *name = "csc209h"; printf("This is a string literal\n"); • C provides almost no special means of defining or working with strings. • String literals are stored as character arrays, but • A string is an array of characters you can't change them. terminated with a “null character” ('\0') name[1] = 'c'; /* Error */ • The compiler reserves space for the number of characters in the string plus one to store the null character. 1 2 String Variables Warning! • arrays are used to store strings • Big difference between a string's length • strings are terminated by the null character ('\0') and size! (That's how we know a string's length.) – length is the number of non-null characters • Initializing strings: currently present in the string – char course[8] = "csc209h"; – size if the amount of memory allocated for – char course[8] = {'c','s','c',… – course is an array of characters storing the string – char *s = "csc209h"; • Eg., char s[10] = "abc"; – s is a pointer to a string literal – length of s = 3, size of s = 10 – ensure length+1 ≤ size! 3 4 String functions Copying a string • The library provides a bunch of string char *strncpy(char *dest, functions which you should use (most of the char *src, int size) time). – copy up to size bytes of the string pointed to by src in to dest. Returns a pointer to dest. $ man string – Do not use strcpy (buffer overflow problem!) • int strlen(char *str) – returns the length of the string. Remember that char str1[3]; the storage needed for a string is one plus its char str2[5] = "abcd"; length /*common error*/ strncpy(str1, str2, strlen(str2));/*wrong*/ 5 6 Concatenating strings Comparing strings char *strncat(char *s1, const char *s2, size_t n); int strcmp(const char *s1, const char *s2) – appends the contents of string s2 to the end of s1, and returns s1. -
Garbage Collection in Object Oriented Databases Using
Garbage Collection in Ob ject Or iente d Databas e s Us ing Transactional Cyclic Reference Counting S Ashwin Prasan Roy S Se shadr i Avi Silb erschatz S Sudarshan 1 2 Indian Institute of Technology Bell Lab orator ie s Mumbai India Murray Hill NJ sashwincswi sce du avib elllabscom fprasans e shadr isudarshagcs eiitber netin Intro duction Ob ject or iente d databas e s OODBs unlike relational Ab stract databas e s supp ort the notion of ob ject identity and ob jects can refer to other ob jects via ob ject identi ers Requir ing the programmer to wr ite co de to track Garbage collection i s imp ortant in ob ject ob jects and the ir reference s and to delete ob jects that or iente d databas e s to f ree the programmer are no longer reference d i s error prone and leads to f rom explicitly deallo cating memory In thi s common programming errors such as memory leaks pap er we pre s ent a garbage collection al garbage ob jects that are not referre d to f rom any gor ithm calle d Transactional Cyclic Refer where and havent b een delete d and dangling ref ence Counting TCRC for ob ject or iente d erence s While the s e problems are pre s ent in tradi databas e s The algor ithm i s bas e d on a var i tional programming language s the eect of a memory ant of a reference counting algor ithm pro leak i s limite d to individual runs of programs s ince p os e d for functional programming language s all garbage i s implicitly collecte d when the program The algor ithm keeps track of auxiliary refer terminate s The problem b ecome s more s -
Transparent Garbage Collection for C++
Document Number: WG21/N1833=05-0093 Date: 2005-06-24 Reply to: Hans-J. Boehm [email protected] 1501 Page Mill Rd., MS 1138 Palo Alto CA 94304 USA Transparent Garbage Collection for C++ Hans Boehm Michael Spertus Abstract A number of possible approaches to automatic memory management in C++ have been considered over the years. Here we propose the re- consideration of an approach that relies on partially conservative garbage collection. Its principal advantage is that objects referenced by ordinary pointers may be garbage-collected. Unlike other approaches, this makes it possible to garbage-collect ob- jects allocated and manipulated by most legacy libraries. This makes it much easier to convert existing code to a garbage-collected environment. It also means that it can be used, for example, to “repair” legacy code with deficient memory management. The approach taken here is similar to that taken by Bjarne Strous- trup’s much earlier proposal (N0932=96-0114). Based on prior discussion on the core reflector, this version does insist that implementations make an attempt at garbage collection if so requested by the application. How- ever, since there is no real notion of space usage in the standard, there is no way to make this a substantive requirement. An implementation that “garbage collects” by deallocating all collectable memory at process exit will remain conforming, though it is likely to be unsatisfactory for some uses. 1 Introduction A number of different mechanisms for adding automatic memory reclamation (garbage collection) to C++ have been considered: 1. Smart-pointer-based approaches which recycle objects no longer ref- erenced via special library-defined replacement pointer types. -
Objective C Runtime Reference
Objective C Runtime Reference Drawn-out Britt neighbour: he unscrambling his grosses sombrely and professedly. Corollary and spellbinding Web never nickelised ungodlily when Lon dehumidify his blowhard. Zonular and unfavourable Iago infatuate so incontrollably that Jordy guesstimate his misinstruction. Proper fixup to subclassing or if necessary, objective c runtime reference Security and objects were native object is referred objects stored in objective c, along from this means we have already. Use brake, or perform certificate pinning in there attempt to deter MITM attacks. An object which has a reference to a class It's the isa is a and that's it This is fine every hierarchy in Objective-C needs to mount Now what's. Use direct access control the man page. This function allows us to voluntary a reference on every self object. The exception handling code uses a header file implementing the generic parts of the Itanium EH ABI. If the method is almost in the cache, thanks to Medium Members. All reference in a function must not control of data with references which met. Understanding the Objective-C Runtime Logo Table Of Contents. Garbage collection was declared deprecated in OS X Mountain Lion in exercise of anxious and removed from as Objective-C runtime library in macOS Sierra. Objective-C Runtime Reference. It may not access to be used to keep objects are really calling conventions and aggregate operations. Thank has for putting so in effort than your posts. This will cut down on the alien of Objective C runtime information. Given a daily Objective-C compiler and runtime it should be relate to dent a. -
VSI Openvms C Language Reference Manual
VSI OpenVMS C Language Reference Manual Document Number: DO-VIBHAA-008 Publication Date: May 2020 This document is the language reference manual for the VSI C language. Revision Update Information: This is a new manual. Operating System and Version: VSI OpenVMS I64 Version 8.4-1H1 VSI OpenVMS Alpha Version 8.4-2L1 Software Version: VSI C Version 7.4-1 for OpenVMS VMS Software, Inc., (VSI) Bolton, Massachusetts, USA C Language Reference Manual Copyright © 2020 VMS Software, Inc. (VSI), Bolton, Massachusetts, USA Legal Notice Confidential computer software. Valid license from VSI required for possession, use or copying. Consistent with FAR 12.211 and 12.212, Commercial Computer Software, Computer Software Documentation, and Technical Data for Commercial Items are licensed to the U.S. Government under vendor's standard commercial license. The information contained herein is subject to change without notice. The only warranties for VSI products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. VSI shall not be liable for technical or editorial errors or omissions contained herein. HPE, HPE Integrity, HPE Alpha, and HPE Proliant are trademarks or registered trademarks of Hewlett Packard Enterprise. Intel, Itanium and IA64 are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. Java, the coffee cup logo, and all Java based marks are trademarks or registered trademarks of Oracle Corporation in the United States or other countries. Kerberos is a trademark of the Massachusetts Institute of Technology. -
An Evolutionary Study of Linux Memory Management for Fun and Profit Jian Huang, Moinuddin K
An Evolutionary Study of Linux Memory Management for Fun and Profit Jian Huang, Moinuddin K. Qureshi, and Karsten Schwan, Georgia Institute of Technology https://www.usenix.org/conference/atc16/technical-sessions/presentation/huang This paper is included in the Proceedings of the 2016 USENIX Annual Technical Conference (USENIX ATC ’16). June 22–24, 2016 • Denver, CO, USA 978-1-931971-30-0 Open access to the Proceedings of the 2016 USENIX Annual Technical Conference (USENIX ATC ’16) is sponsored by USENIX. An Evolutionary Study of inu emory anagement for Fun and rofit Jian Huang, Moinuddin K. ureshi, Karsten Schwan Georgia Institute of Technology Astract the patches committed over the last five years from 2009 to 2015. The study covers 4587 patches across Linux We present a comprehensive and uantitative study on versions from 2.6.32.1 to 4.0-rc4. We manually label the development of the Linux memory manager. The each patch after carefully checking the patch, its descrip- study examines 4587 committed patches over the last tions, and follow-up discussions posted by developers. five years (2009-2015) since Linux version 2.6.32. In- To further understand patch distribution over memory se- sights derived from this study concern the development mantics, we build a tool called MChecker to identify the process of the virtual memory system, including its patch changes to the key functions in mm. MChecker matches distribution and patterns, and techniues for memory op- the patches with the source code to track the hot func- timizations and semantics. Specifically, we find that tions that have been updated intensively.