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Perhaps the most general-purpose of the containers is vector. The vector class supports a dynamic array. This is an array that can grow as needed. As you know, in C++, the size of an array is fixed at compile time. While this is, by far, the most efficient way to implement arrays, it is also the most restrictive because the size of the array cannot be adjusted at run time to accommodate changing program conditions. A vector solves this problem by allocating memory as needed. Although a vector is dynamic, you can still use the standard array subscript notation to access its elements. The template specification for vector is shown here: template <class T, class Allocator = allocator<T> > class vector Here, T is the type of data being stored, and Allocator specifies the allocator, which defaults to the standard allocator. vector has the following constructors: explicit vector(const Allocator &a = Allocator( ) ); explicit vector(size_type num, const T &val = T ( ), const Allocator &a = Allocator( )); vector(const vector<T, Allocator> &ob); template <class InIter> vector(InIter start, InIter end, const Allocator &a = Allocator( )); The first form constructs an empty vector. The second form constructs a vector that has num elements with the value val. The value of val may be allowed to default. The third form constructs a vector that contains the same elements as ob. The fourth form constructs a vector that contains the elements in the range specified by the iterators start and end. For maximum flexibility and portability, any object that will be stored in a vector should define a default constructor. It should also define the < and == operations. Some compilers may require that other comparison operators be defined. (Since implementations vary, consult your compiler s documentation for precise information.) All of the built-in types automatically satisfy these requirements. Although the template syntax looks rather complex, there is nothing difficult about declaring a vector. Here are some examples: PARALLEL RIDGE PATTERN (IN SITU AND EARLY INVASIVE ACRAL MELANOMA) A brief discussion into the plausible future of Carrier Ethernet services and how they may be delivered. For capturing synchronous data, the analyzer needs to correctly capture the signal with reference to the framing bytes and display the results. The signal can be captured in a number of ways but usually is divided into two areas: The embedded overhead (OH) containing the signaling and alarm /error information, and the actual data being carried by the signal (the payload). Overhead capture. The ability to examine the path and transport overhead of a synchronous signal is an important feature for analyzers. It is accomplished in many ways, but in general there are three main methods: 2
Bug database A database of bugs maintained by the testing manager. All bugs found by the testers are logged in the bug database. This tells the programmers what they need to fix. When a fix has been tested and proven to work, the bug is closed. Build
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