github.com/Claudiu/Trie

Trie / Radix Tree / Digital Tree

In computer science, a trie, also called digital tree and sometimes radix tree or prefix tree (as they can be searched by prefixes), is an ordered tree data structure that is used to store a dynamic set or associative array where the keys are usually strings.

Read More on: https://en.wikipedia.org/wiki/Trie

Usage

You start by defining the root of the Trie. Using trie.NewTrie()

package main

import "github.com/claudiu/trie"

func main() {
    rootTrie := trie.NewTrie()
    rootTrie.Add("heart")

    node := rootTrie.Find("heart")

    // do stuff with the node here
}

You can now return the trie node using:

rootTrie.Find("heart")

If the node is not found rootTrie.Find("heart") will return nil

Word Count

You can return the word count in a trie using:

rootTrie.Count()

Metadata

Each Trie node can hold metadata. Here's a small demo:

package main

import (
    "github.com/claudiu/trie"
    "fmt"
)

func main() {
    rootTrie := trie.NewTrie()
    rootTrie.Add("heart")

    node := rootTrie.Find("heart")

    node.Set("test", "alpha")

    item, found := node.Get("test")

    if found {
        fmt.Println(item.(string))
    }
}