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A map, sometimes referred to as a dictionary, consists of a key/value pair. The key is used to order the sequence, and the value is somehow associated with that key. For example, a map might contain keys representing every unique word in a text and values representing the number of times that word appears in the text.
C++17 is a version of the ISO/IEC 14882 standard for the C++ programming language. ... (5.0, false) or an additional helper template function std:: make_pair ...
Modern C++ compilers are tuned to minimize abstraction penalties arising from heavy use of the STL. The STL was created as the first library of generic algorithms and data structures for C++, with four ideas in mind: generic programming, abstractness without loss of efficiency, the Von Neumann computation model, [2] and value semantics.
In the programming language C++, unordered associative containers are a group of class templates in the C++ Standard Library that implement hash table variants. Being templates, they can be used to store arbitrary elements, such as integers or custom classes.
utility is a header file in the C++ Standard Library.This file has two key components: rel_ops, a namespace containing set of templates which define default behavior for the relational operators!=, >, <=, and >= between objects of the same type, based on user-defined operators == and <.
A bitwise AND is a binary operation that takes two equal-length binary representations and performs the logical AND operation on each pair of the corresponding bits. Thus, if both bits in the compared position are 1, the bit in the resulting binary representation is 1 (1 × 1 = 1); otherwise, the result is 0 (1 × 0 = 0 and 0 × 0 = 0).
Just like std::make_pair for std::pair, there exists std::make_tuple to automatically create std::tuples using type deduction and auto helps to declare such a tuple. std::tie creates tuples of lvalue references to help unpack tuples. std::ignore also helps here. See the example:
A pairing heap is a type of heap data structure with relatively simple implementation and excellent practical amortized performance, introduced by Michael Fredman, Robert Sedgewick, Daniel Sleator, and Robert Tarjan in 1986. [1]