Effective STL
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Standard Template Library
STANDARD TEMPLATE LIBRARY Developed By Mrs. K.M.Sanghavi STANDARD TEMPLATE LIBRARY (STL) Developed by Alexander Stepanov and Meng Lee of HP in 1979. Standard template library accepted in July 1994 into C++ ANSI Standard These are called as collection of General-purpose template classes( data structures) and functions 1 COMPONENTS OF STL Containers Algorithms Iterators 2 COMPONENTS OF STL Algorithms use iterators to interact with objects stored in containers Container Algorithm1 Algorithm 2 Object1 Object2 Iterator 1 Iterator 2 Object3 Iterator 3 Algorithm 3 3 CONTAINER Objects that hold Example : Array data (of same type) Implemented by Template Classes 4 ALGORITHM Example : These are procedures used to process the data Searching, Sorting, contained in containers. Merging, Copying, Initializing Implemented by template functions 5 ITERATOR It is an object that Used to move points to an through the element in a contents of container container They can be Connect Algorithms incremented and with Containers decremented 6 COMPONENTS OF STL Containers 7 CATEGORIES OF CONTAINERS Sequence Containers Derived Associative Containers Containers 8 CONTAINERS STL Defines 10 Containers 9 CATEGORIES OF CONTAINERS Sequence Associative Derived • vector • set • stack • deque • multiset • queue • list • map • Priority_queue • multimap 10 SEQUENCE CONTAINERS Stores elements in a linear sequence Each element is related to other elements by its position along the line They allow insertion of elements Example Element Element Element Last …….. 0 1 2 element 11 THREE TYPES OF SEQUENCE CONTAINERS vector deque list 12 Vector : Sequence Container Expandable and dynamic array Grows and shrinks in size Insertion / Deletion of elements at back Permits direct access to any element 13 Vector : Sequence Container Container Header File Iterator vector <vector> Random Access 14 vector Sequence Container Declarations ◦ vector <type> v; type: int, float, etc. -
Traits: Experience with a Language Feature
7UDLWV([SHULHQFHZLWKD/DQJXDJH)HDWXUH (PHUVRQ50XUSK\+LOO $QGUHZ3%ODFN 7KH(YHUJUHHQ6WDWH&ROOHJH 2*,6FKRRORI6FLHQFH1(QJLQHHULQJ$ (YHUJUHHQ3DUNZD\1: 2UHJRQ+HDOWKDQG6FLHQFH8QLYHUVLW\ 2O\PSLD$:$ 1::DONHU5G PXUHPH#HYHUJUHHQHGX %HDYHUWRQ$25 EODFN#FVHRJLHGX ABSTRACT the desired semantics of that method changes, or if a bug is This paper reports our experiences using traits, collections of found, the programmer must track down and fix every copy. By pure methods designed to promote reuse and understandability reusing a method, behavior can be defined and maintained in in object-oriented programs. Traits had previously been used to one place. refactor the Smalltalk collection hierarchy, but only by the crea- tors of traits themselves. This experience report represents the In object-oriented programming, inheritance is the normal way first independent test of these language features. Murphy-Hill of reusing methods—classes inherit methods from other classes. implemented a substantial multi-class data structure called ropes Single inheritance is the most basic and most widespread type of that makes significant use of traits. We found that traits im- inheritance. It allows methods to be shared among classes in an proved understandability and reduced the number of methods elegant and efficient way, but does not always allow for maxi- that needed to be written by 46%. mum reuse. Consider a small example. In Squeak [7], a dialect of Smalltalk, Categories and Subject Descriptors the class &ROOHFWLRQ is the superclass of all the classes that $UUD\ +HDS D.2.3 [Programming Languages]: Coding Tools and Tech- implement collection data structures, including , , 6HW niques - object-oriented programming and . The property of being empty is common to many ob- jects—it simply requires that the object have a size method, and D.3.3 [Programming Languages]: Language Constructs and that the method returns zero. -
SEI CERT C++ Coding Standard (2016 Edition)
SEI CERT C++ Coding Standard Rules for Developing Safe, Reliable, and Secure Systems in C++ 2016 Edition Aaron Ballman Copyright 2017 Carnegie Mellon University This material is based upon work funded and supported by the Department of Defense under Contract No. FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. Any opinions, findings and conclusions or recommendations expressed in this material are those of the au- thor(s) and do not necessarily reflect the views of the United States Department of Defense. References herein to any specific commercial product, process, or service by trade name, trade mark, manu- facturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by Carnegie Mellon University or its Software Engineering Institute. This report was prepared for the SEI Administrative Agent AFLCMC/PZM 20 Schilling Circle, Bldg 1305, 3rd floor Hanscom AFB, MA 01731-2125 NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN “AS-IS” BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. [Distribution Statement A] This material has been approved for public release and unlimited distribution. Please see Copyright notice for non-US Government use and distribution. -
CSE 220: Systems Programming
Memory Allocation CSE 220: Systems Programming Ethan Blanton Department of Computer Science and Engineering University at Buffalo Introduction The Heap Void Pointers The Standard Allocator Allocation Errors Summary Allocating Memory We have seen how to use pointers to address: An existing variable An array element from a string or array constant This lecture will discuss requesting memory from the system. © 2021 Ethan Blanton / CSE 220: Systems Programming 2 Introduction The Heap Void Pointers The Standard Allocator Allocation Errors Summary Memory Lifetime All variables we have seen so far have well-defined lifetime: They persist for the entire life of the program They persist for the duration of a single function call Sometimes we need programmer-controlled lifetime. © 2021 Ethan Blanton / CSE 220: Systems Programming 3 Introduction The Heap Void Pointers The Standard Allocator Allocation Errors Summary Examples int global ; /* Lifetime of program */ void foo () { int x; /* Lifetime of foo () */ } Here, global is statically allocated: It is allocated by the compiler It is created when the program starts It disappears when the program exits © 2021 Ethan Blanton / CSE 220: Systems Programming 4 Introduction The Heap Void Pointers The Standard Allocator Allocation Errors Summary Examples int global ; /* Lifetime of program */ void foo () { int x; /* Lifetime of foo () */ } Whereas x is automatically allocated: It is allocated by the compiler It is created when foo() is called ¶ It disappears when foo() returns © 2021 Ethan Blanton / CSE 220: Systems Programming 5 Introduction The Heap Void Pointers The Standard Allocator Allocation Errors Summary The Heap The heap represents memory that is: allocated and released at run time managed explicitly by the programmer only obtainable by address Heap memory is just a range of bytes to C. -
Memory Allocation Pushq %Rbp Java Vs
University of Washington Memory & data Roadmap Integers & floats C: Java: Machine code & C x86 assembly car *c = malloc(sizeof(car)); Car c = new Car(); Procedures & stacks c.setMiles(100); c->miles = 100; Arrays & structs c->gals = 17; c.setGals(17); float mpg = get_mpg(c); float mpg = Memory & caches free(c); c.getMPG(); Processes Virtual memory Assembly get_mpg: Memory allocation pushq %rbp Java vs. C language: movq %rsp, %rbp ... popq %rbp ret OS: Machine 0111010000011000 100011010000010000000010 code: 1000100111000010 110000011111101000011111 Computer system: Winter 2016 Memory Allocation 1 University of Washington Memory Allocation Topics Dynamic memory allocation . Size/number/lifetime of data structures may only be known at run time . Need to allocate space on the heap . Need to de-allocate (free) unused memory so it can be re-allocated Explicit Allocation Implementation . Implicit free lists . Explicit free lists – subject of next programming assignment . Segregated free lists Implicit Deallocation: Garbage collection Common memory-related bugs in C programs Winter 2016 Memory Allocation 2 University of Washington Dynamic Memory Allocation Programmers use dynamic memory allocators (such as malloc) to acquire virtual memory at run time . For data structures whose size (or lifetime) is known only at runtime Dynamic memory allocators manage an area of a process’ virtual memory known as the heap User stack Top of heap (brk ptr) Heap (via malloc) Uninitialized data (.bss) Initialized data (.data) Program text (.text) 0 Winter 2016 Memory Allocation 3 University of Washington Dynamic Memory Allocation Allocator organizes the heap as a collection of variable-sized blocks, which are either allocated or free . Allocator requests pages in heap region; virtual memory hardware and OS kernel allocate these pages to the process . -
Unleashing the Power of Allocator-Aware Software
P2126R0 2020-03-02 Pablo Halpern (on behalf of Bloomberg): [email protected] John Lakos: [email protected] Unleashing the Power of Allocator-Aware Software Infrastructure NOTE: This white paper (i.e., this is not a proposal) is intended to motivate continued investment in developing and maturing better memory allocators in the C++ Standard as well as to counter misinformation about allocators, their costs and benefits, and whether they should have a continuing role in the C++ library and language. Abstract Local (arena) memory allocators have been demonstrated to be effective at improving runtime performance both empirically in repeated controlled experiments and anecdotally in a variety of real-world applications. The initial development and subsequent maintenance effort of implementing bespoke data structures using custom memory allocation, however, are typically substantial and often untenable, especially in the limited timeframes that urgent business needs impose. To address such recurring performance needs effectively across the enterprise, Bloomberg has adopted a consistent, ubiquitous allocator-aware software infrastructure (AASI) based on the PMR-style1 plug-in memory allocator protocol pioneered at Bloomberg and adopted into the C++17 Standard Library. In this paper, we highlight the essential mechanics and subtle nuances of programing on top of Bloomberg’s AASI platform. In addition to delineating how to obtain performance gains safely at minimal development cost, we explore many of the inherent collateral benefits — such as object placement, metrics gathering, testing, debugging, and so on — that an AASI naturally affords. After reading this paper and surveying the available concrete allocators (provided in Appendix A), a competent C++ developer should be adequately equipped to extract substantial performance and other collateral benefits immediately using our AASI. -
Rogue Wave Standard C++ Library User's Guide and Reference
Rogue Wave Standard C++ Library User's Guide and Reference Rogue Wave Software Corvallis, Oregon USA Standard C++ Library User's Guide and Reference for Rogue Wave's implementation of the Standard C++ Library. Based on ANSI's Working Paper for Draft Proposed International Standard for Information Systems--Programming Language C++. April 28, 1995. User's Guide Authors: Timothy A. Budd, Randy Smithey Reference Authors: Wendi Minne, Tom Pearson, and Randy Smithey Product Team: Development: Anna Dahan, Donald Fowler, Marlene Hart, Angelika Langer, Philippe Le Mouel, Randy Smithey Quality Engineering: KevinDjang, Randall Robinson, Chun Zhang Manuals: Wendi Minne, Kristi Moore, Julie Prince,Randy Smithey Support: North Krimsley Significant contributions by: Rodney Mishima Copyright © 1995-96 Rogue Wave Software, Inc. All rights reserved. Printed in the United States of America. Part # RW81-01-2-032596 Printing Date: July 1996 Rogue Wave Software, Inc., 850 SW 35th Street, Corvallis, Oregon, 97333 USA Product Information: (541) 754-5010 (800) 487-3217 Technical Support: (541) 754-2311 FAX: (541) 757-6650 World Wide Web: http://www.roguewave.com Please have your product serial number available when calling for technical support. Table of Contents 1. Introduction .........................................................................1 1.1 What is the Standard C++ Library?............................................................. 2 1.2 Does the Standard C++ Library Differ From Other Libraries? ............... 2 1.3 What are the Effects of -
P1083r2 | Move Resource Adaptor from Library TS to the C++ WP
P1083r2 | Move resource_adaptor from Library TS to the C++ WP Pablo Halpern [email protected] 2018-11-13 | Target audience: LWG 1 Abstract When the polymorphic allocator infrastructure was moved from the Library Fundamentals TS to the C++17 working draft, pmr::resource_adaptor was left behind. The decision not to move pmr::resource_adaptor was deliberately conservative, but the absence of resource_adaptor in the standard is a hole that must be plugged for a smooth transition to the ubiquitous use of polymorphic_allocator, as proposed in P0339 and P0987. This paper proposes that pmr::resource_adaptor be moved from the LFTS and added to the C++20 working draft. 2 History 2.1 Changes from R1 to R2 (in San Diego) • Paper was forwarded from LEWG to LWG on Tuesday, 2018-10-06 • Copied the formal wording from the LFTS directly into this paper • Minor wording changes as per initial LWG review • Rebased to the October 2018 draft of the C++ WP 2.2 Changes from R0 to R1 (pre-San Diego) • Added a note for LWG to consider clarifying the alignment requirements for resource_adaptor<A>::do_allocate(). • Changed rebind type from char to byte. • Rebased to July 2018 draft of the C++ WP. 3 Motivation It is expected that more and more classes, especially those that would not otherwise be templates, will use pmr::polymorphic_allocator<byte> to allocate memory. In order to pass an allocator to one of these classes, the allocator must either already be a polymorphic allocator, or must be adapted from a non-polymorphic allocator. The process of adaptation is facilitated by pmr::resource_adaptor, which is a simple class template, has been in the LFTS for a long time, and has been fully implemented. -
The Cedar Programming Environment: a Midterm Report and Examination
The Cedar Programming Environment: A Midterm Report and Examination Warren Teitelman The Cedar Programming Environment: A Midterm Report and Examination Warren Teitelman t CSL-83-11 June 1984 [P83-00012] © Copyright 1984 Xerox Corporation. All rights reserved. CR Categories and Subject Descriptors: D.2_6 [Software Engineering]: Programming environments. Additional Keywords and Phrases: integrated programming environment, experimental programming, display oriented user interface, strongly typed programming language environment, personal computing. t The author's present address is: Sun Microsystems, Inc., 2550 Garcia Avenue, Mountain View, Ca. 94043. The work described here was performed while employed by Xerox Corporation. XEROX Xerox Corporation Palo Alto Research Center 3333 Coyote Hill Road Palo Alto, California 94304 1 Abstract: This collection of papers comprises a report on Cedar, a state-of-the-art programming system. Cedar combines in a single integrated environment: high-quality graphics, a sophisticated editor and document preparation facility, and a variety of tools for the programmer to use in the construction and debugging of his programs. The Cedar Programming Language is a strongly-typed, compiler-oriented language of the Pascal family. What is especially interesting about the Ce~ar project is that it is one of the few examples where an interactive, experimental programming environment has been built for this kind of language. In the past, such environments have been confined to dynamically typed languages like Lisp and Smalltalk. The first paper, "The Roots of Cedar," describes the conditions in 1978 in the Xerox Palo Alto Research Center's Computer Science Laboratory that led us to embark on the Cedar project and helped to define its objectives and goals. -
The Wrapper API's Baseline Requirements
LASER INTERFEROMETER GRAVITATIONAL WAVE OBSERVATORY - LIGO - CALIFORNIA INSTITUTE OF TECHNOLOGY MASSACHUSETTS INSTITUTE OF TECHNOLOGY Document Type LIGO-T990097-11 - E 08/29/2000 The wrapper API’s baseline requirements James Kent Blackburn, Masha Barnes Jolien Creighton Distribution of this document: LIGO LDAS Group This is an internal working document of the LIGO Project. California Institute of Technology Massachusetts Institute of Technology LIGO Project - MS 51-33 LIGO Project - MS 20B-145 Pasadena CA 91125 Cambridge, MA 01239 Phone (818) 395-2129 Phone (617) 253-4824 Fax (818) 304-9834 Fax (617) 253-7014 E-mail: [email protected] E-mail: [email protected] WWW: http://www.ligo.caltech.edu/ Table of Contents Index file \\SIRIUS\kent\documents\LDAS\wrapperAPI\wrapperAPIReqCover.fm - printed August 29, 2000 The wrapper API’s baseline requirements James Kent Blackburn California Institute of Technology LIGO Data Analysis Group August 29, 2000 I. Introduction A. General Description: 1. The wrapperAPI is responsible for executing the advanced analysis pro- cesses which are based on MPI and executing in the LDAS distributed com- puting parallel cluster of nodes using an interpreted command language. 2. The wrapperAPI will be written entirely in C and C++. No TCL/TK will be used in this LDAS API. 3. The wrapperAPI will be initiated using the mpirun command. This command will be started solely by the mpiAPI. The mpiAPI will determine the appro- priate values for the mpirun command, as well as the appropriate commands for the wrapperAPI and pass these as command line arguments to mpirun. The wrapperAPI will interpret its own command line arguments which are automatically passed to the wrapperAPI by the mpirun command. -
Smalltalk Idioms
Smalltalk Idioms Farewell and a wood pile Kent Beck IT’S THE OBJECTS, STUPID If we parsed the string “@years”, the resulting picture S me awhile to see the obvious. Some- would look like Figure 6. When the BinaryFunction un- times even longer than that. Three or four times in the wraps its children, the right function will be in place. last month I’ve been confronted by problems I had a As I said, several times in the last month I’ve faced hard time solving. In each case, the answer became clear baffling problems that became easy when I asked myself when I asked myself the simple question, “How can I the question, “How could I make an object to solve this make an object to solve this problem for me?” You think problem for me?” Sometimes it was a method that just I’d have figured it out by now: got a problem? make an didn’t want to be simplified, so I created an object just for object for it. that method. Sometimes it was a question of adding Here’s an example: I had to write an editor for a tree features to an object for a particular purpose without clut- structure. There were several ways of viewing and editing tering the object (as in the editing example). I recommend the tree. On the left was a hierarchical list. On the top right that the next time you run into a problem that just doesn’t was a text editor on the currently selected node of the tree. -
The Slab Allocator: an Object-Caching Kernel Memory Allocator
The Slab Allocator: An Object-Caching Kernel Memory Allocator Jeff Bonwick Sun Microsystems Abstract generally superior in both space and time. Finally, Section 6 describes the allocator’s debugging This paper presents a comprehensive design over- features, which can detect a wide variety of prob- view of the SunOS 5.4 kernel memory allocator. lems throughout the system. This allocator is based on a set of object-caching primitives that reduce the cost of allocating complex objects by retaining their state between uses. These 2. Object Caching same primitives prove equally effective for manag- Object caching is a technique for dealing with ing stateless memory (e.g. data pages and temporary objects that are frequently allocated and freed. The buffers) because they are space-efficient and fast. idea is to preserve the invariant portion of an The allocator’s object caches respond dynamically object’s initial state — its constructed state — to global memory pressure, and employ an object- between uses, so it does not have to be destroyed coloring scheme that improves the system’s overall and recreated every time the object is used. For cache utilization and bus balance. The allocator example, an object containing a mutex only needs also has several statistical and debugging features to have mutex_init() applied once — the first that can detect a wide range of problems throughout time the object is allocated. The object can then be the system. freed and reallocated many times without incurring the expense of mutex_destroy() and 1. Introduction mutex_init() each time. An object’s embedded locks, condition variables, reference counts, lists of The allocation and freeing of objects are among the other objects, and read-only data all generally qual- most common operations in the kernel.