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mnemonist

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mnemonist

Curated collection of data structures for the JavaScript language.

  • 0.26.0
  • Source
  • npm
  • Socket score

Version published
Weekly downloads
2.9M
decreased by-26.5%
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1
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Created

What is mnemonist?

The mnemonist package is a collection of data structures for JavaScript and TypeScript. It provides a variety of advanced data structures that are not available in the standard JavaScript library, allowing developers to handle complex data manipulation tasks more efficiently.

What are mnemonist's main functionalities?

FibonacciHeap

FibonacciHeap is a heap data structure that allows for efficient retrieval and modification of the minimum element. It is particularly efficient for mergeable heap operations.

const { FibonacciHeap } = require('mnemonist');
const heap = new FibonacciHeap();
heap.push(3, 'three');
heap.push(1, 'one');
heap.pop(); // -> 'one'

Trie

Trie is a tree-like data structure that is used to store a dynamic set or associative array where the keys are usually strings. It is useful for tasks like autocomplete where prefix-based search is needed.

const { Trie } = require('mnemonist');
const trie = new Trie();
trie.add('cat');
trie.add('can');
trie.has('cat'); // -> true

SuffixArray

SuffixArray is a data structure that provides an efficient way to search for substrings within a given string. It is useful for text processing and search applications.

const { SuffixArray } = require('mnemonist');
const suffixArray = new SuffixArray('banana');
suffixArray.search('ana'); // -> [1, 3]

BKTree

BKTree is a tree data structure for approximate string matching. It is useful for spell checking, fuzzy searching, and other applications where you need to find strings that are similar to a target string.

const { BKTree } = require('mnemonist');
const tree = new BKTree(levenshtein);
tree.add('book');
tree.add('back');
tree.search('bock', 2); // -> [{word: 'book', distance: 1}, {word: 'back', distance: 1}]

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Package last updated on 13 Dec 2018

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