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Download as PDF; Printable version; In other projects ... One could create a phone-book map with the following code in C++: ... The hash function in Java, used by ...
C++11 includes unordered_map in its standard library for storing keys and values of arbitrary types. [51] Go's built-in map implements a hash table in the form of a type. [52] Java programming language includes the HashSet, HashMap, LinkedHashSet, and LinkedHashMap generic collections. [53] Python's built-in dict implements a hash table in the ...
Due to their usefulness, they were later included in several other implementations of the C++ Standard Library (e.g., the GNU Compiler Collection's (GCC) libstdc++ [2] and the Visual C++ (MSVC) standard library). The hash_* class templates were proposed into C++ Technical Report 1 (C++ TR1) and were accepted under names unordered_*. [3]
This is the case for tree-based implementations, one representative being the <map> container of C++. [16] The order of enumeration is key-independent and is instead based on the order of insertion. This is the case for the "ordered dictionary" in .NET Framework, the LinkedHashMap of Java and Python. [17] [18] [19] The latter is more common.
Threading Building Blocks provide concurrent unordered maps for C++ which allow concurrent insertion and traversal and are kept in a similar style to the C++11 std::unordered_map interface. Included within are the concurrent unordered multimaps, which allow multiple values to exist for the same key in a concurrent unordered map. [ 12 ]
gperf is an open source C and C++ perfect hash generator (very fast, but only works for small sets) Minimal Perfect Hashing (bob algorithm) by Bob Jenkins; cmph: C Minimal Perfect Hashing Library, open source implementations for many (minimal) perfect hashes (works for big sets) Sux4J: open source monotone minimal perfect hashing in Java
Please help improve it to make it understandable to non-experts, without removing the technical details. ( October 2019 ) ( Learn how and when to remove this message ) A hash array mapped trie [ 1 ] ( HAMT ) is an implementation of an associative array that combines the characteristics of a hash table and an array mapped trie . [ 1 ]
A distributed hash table (DHT) is a distributed system that provides a lookup service similar to a hash table. Key–value pairs are stored in a DHT, and any participating node can efficiently retrieve the value associated with a given key.