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Container classes are expected to implement CRUD-like methods to do the following: create an empty container (constructor); insert objects into the container; delete objects from the container; delete all the objects in the container (clear); access the objects in the container; access the number of objects in the container (count).
These containers store their elements as a hash table, with each table entry containing a bidirectional linked list of elements. To ensure the fastest search times ( O(1) ), make sure that the hashing algorithm for your elements returns evenly distributed hash values.
The containers are defined in headers named after the names of the containers, e.g., unordered_set is defined in header <unordered_set>. All containers satisfy the requirements of the Container concept , which means they have begin() , end() , size() , max_size() , empty() , and swap() methods.
It is easy to use now. It is a template to automatically add row numbers to sortable tables. The row numbers will not be sorted when columns of data are sorted. A possible note to add above a table: Row numbers are static. Other columns are sortable. This allows ranking of any column. See list of articles transcluding {{static row numbers}}.
This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.
The following containers are defined in the current revision of the C++ standard: array, vector, list, forward_list, deque. Each of these containers implements different algorithms for data storage, which means that they have different speed guarantees for different operations: [1] array implements a compile-time non-resizable array.
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STL also has utility functions for manipulating another random-access container as a binary max-heap. The Boost libraries also have an implementation in the library heap. Python's heapq module implements a binary min-heap on top of a list. Java's library contains a PriorityQueue class, which implements a min-priority-queue as a binary heap.