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Note that the various iterator kinds are not defined types; rather, they are conceptual characterizations. As mentioned earlier, each container class defines a class scope typedef name called iterator. So the vector class has iterators of type vector::iterator. But the documentation for this class would tell you that vector iterators are random access iterators. That, in turn, allows you to use algorithms based on any iterator type because a random access iterator has all the iterator capabilities. Similarly, a list class has iterators of type list::iterator. The STL implements a doubly linked list, so it uses a bidirectional iterator. Thus, it can’t use algorithms based on random access iterators, but it can use algorithms based on less demanding iterators.

Concepts, Refinements, and Models

The STL has several features, such as kinds of iterators, that aren’t expressible in the C++ language. That is, although you can design, say, a class that has the properties of a forward iterator, you can’t have the compiler restrict an algorithm to using only that class. The reason is that the forward iterator is a set of requirements, not a type. The requirements could be satisfied by an iterator class you’ve designed, but they could also be satisfied by an ordinary pointer. An STL algorithm works with any iterator implementation that meets its requirements. STL literature uses the word concept to describe a set of requirements. Thus, there is an input iterator concept, a forward iterator concept, and so on. By the way, if you do need iterators for, say, a container class you’re designing, you can look to the STL, which include iterator templates for the standard varieties.

Concepts can have an inheritance-like relationship. For example, a bidirectional iterator inherits the capabilities of a forward iterator. However, you can’t apply the C++ inheritance mechanism to iterators. For example, you might implement a forward iterator as a class and a bidirectional iterator as a regular pointer. So in terms of the C++ language, this particular bidirectional iterator, being a built-in type, couldn’t be derived from a class. Conceptually, however, it does inherit. Some STL literature uses the term refinement to indicate this conceptual inheritance. Thus, a bidirectional iterator is a refinement of the forward iterator concept.

A particular implementation of a concept is termed a model. Thus, an ordinary pointer-to-int is a model of the concept random access iterator. It’s also a model of a forward iterator, for it satisfies all the requirements of that concept.

The Pointer As Iterator

Iterators are generalizations of pointers, and a pointer satisfies all the iterator requirements. Iterators form the interface for STL algorithms, and pointers are iterators, so STL algorithms can use pointers to operate on non-STL containers that are based on pointers. For example, you can use STL algorithms with arrays. Suppose Receipts is an array of double values, and you would like to sort in ascending order:

const int SIZE = 100;

double Receipts[SIZE];

The STL sort() function, recall, takes as arguments an iterator pointing to the first element in a container and an iterator pointing to past-the-end. Well, &Receipts[0] (or just Receipts) is the address of the first element, and &Receipts[SIZE] (or just Receipts + SIZE) is the address of the element following the last element in the array. Thus, the following function call sorts the array:

sort(Receipts, Receipts + SIZE);

C++ guarantees that the expression Receipts + n is defined as long as the result lies in the array or one past-the-end. Thus, C++ supports the “one-past-the-end” concept for pointers into an array, and this makes it possible to apply STL algorithms to ordinary arrays. Thus, the fact that pointers are iterators and that algorithms are iterator based makes it possible to apply STL algorithms to ordinary arrays. Similarly, you can apply STL algorithms to data forms of your own design, provided that you supply suitable iterators (which may be pointers or objects) and past-the-end indicators.

copy(), ostream_iterator, and istream_iterator

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C++ Primer Plus
C++ Primer Plus

C++ Primer Plus is a carefully crafted, complete tutorial on one of the most significant and widely used programming languages today. An accessible and easy-to-use self-study guide, this book is appropriate for both serious students of programming as well as developers already proficient in other languages.The sixth edition of C++ Primer Plus has been updated and expanded to cover the latest developments in C++, including a detailed look at the new C++11 standard.Author and educator Stephen Prata has created an introduction to C++ that is instructive, clear, and insightful. Fundamental programming concepts are explained along with details of the C++ language. Many short, practical examples illustrate just one or two concepts at a time, encouraging readers to master new topics by immediately putting them to use.Review questions and programming exercises at the end of each chapter help readers zero in on the most critical information and digest the most difficult concepts.In C++ Primer Plus, you'll find depth, breadth, and a variety of teaching techniques and tools to enhance your learning:• A new detailed chapter on the changes and additional capabilities introduced in the C++11 standard• Complete, integrated discussion of both basic C language and additional C++ features• Clear guidance about when and why to use a feature• Hands-on learning with concise and simple examples that develop your understanding a concept or two at a time• Hundreds of practical sample programs• Review questions and programming exercises at the end of each chapter to test your understanding• Coverage of generic C++ gives you the greatest possible flexibility• Teaches the ISO standard, including discussions of templates, the Standard Template Library, the string class, exceptions, RTTI, and namespaces

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