2.0.3 • Public • Published

    digital tree

    A trie data structure implementation.

    • thorough testing
    • utility: clonable and serializable (to/from json)
    • search values by prefix


    npm install --save digital-tree

    version 2.0.0 is almost a complete rewrite and mostly not backwards compatible


    create() / Ctor

    using `create()`` is the recommended way to construct new digital trees:

        const Trie = require('digital-tree')
        const trie = Trie.create()

    put(key, value)

    Put something in the tree

        trie.put(['a', 'path', 'to'], 'something')
        trie.put(['another', 'thing']) // equivalent to trie.put(['another', 'thing'], true)
        trie.put('strings also', 'work') // equivalent to trie.put('strings also'.split(''), 'work')
        // ** this only work with the exact key (reference) **
        const objectKey = [{ foo: 'bar' }, { bar: 'foo'}]
        trie.put(objectKey, { some: 'thing'})


    Get something from the tree

        const trie = Trie.create()
        trie.put(['a', 'path', 'to'], 'v1')
        trie.put('also strings', 'v2')
        console.log(trie.get([])) // prints 'foo'
        console.log(trie.get(Trie.root)) // prints 'foo'
        console.log(trie.get(['a', 'path', 'to'])) // prints 'v1'
        console.log(trie.get('also strings')) // prints 'v2'


    A trie is iterable. Iteration order is either DFS or BFS

        const Trie = require('digital-tree')
        const trie = Trie.create()
        trie.put('abc', 1)
        trie.put('abd', 2)
        trie.put('abe', 3)
        for (let value of trie) {


    Search and return all the values in the tree that are nested under the provided prefix.

    The results will be an Iterator over the matching values. The order of iteration is defined based on the default ordering of the trie (BFS/DFS)

        const trie = Trie.create()
        trie.put('abc', 1)
        trie.put('abd', 2)
        trie.put('abe', 3)
        console.log(Array.from('ab'))) // prints [ 3, 2, 1 ]
        console.log(Array.from('ab', { includeKeys: true }))) // prints [ [['a','b','e'], 3 ], [['a','b','d'], 2], [['a','b','c'], 1] ]

    getSubTrie(key, [shallow=false])

    Obtain either a cloned, or shallow copy of a subtree.

    trie.put('abc', 1)
    trie.put('abd', 2)
    const subTrie = trie.getSubTrie('ab')
    console.log(subTrie.get('c')) // prints 1
    console.log(subTrie.get('d')) // prints 2
    console.log(subTrie.get('ab')) // prints undefined

    setting shallow to true will create a view rather than cloning the sub trie


    Remove something from the tree. This will remove the entire subtree that exists under this specified key and return it as a new trie.

        trie.put(['a', 'b'], 'ab')
        trie.put(['a', 'b', 'c'], 'abc')
        trie.put(['a', 'b', 'c', 1], 'abc1')
        trie.put(['a', 'b', 'c', 2], 'abc2')
        const removed = trie.remove(['a', 'b', 'c'])
        console.log(removed.get([1])) // prints 'abc1'
        console.log(removed.get([2])) // prints 'abc2'
        console.log(trie.get(['a', 'b', 'c', 1])) // prints 'undefined'
        console.log(trie.get(['a', 'b'])) // prints 'ab'


    npm i digital-tree

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