Ternary Search Tree Java实现

/**

 * @author Edwin Chen

 *

 */



//定义节点

class Node {

    //存储字符串

    char storeChar;

    //是否完成单词

    boolean isComplete;

    

    Node leftChild,centerChild,rightChild;

    

    //构造方法

    public Node(char storeChar,boolean isComplete) {

        this.storeChar = storeChar;

        this.isComplete = isComplete;

    }

}





public class TernarySearchTree {

    //根节点

    public Node root;

    

    //存储结果

    HashSet<String> result = new HashSet<String>();

    

    //递归创建tree

    public Node insert(String word,Node node,Integer index) {

        if(word == null || "".equals(word))

            return null;

        

        //将word转成char数组

        char[] charArray = word.toCharArray();

        

        //递归终止条件,当没有改字符时,创建新节点

        if(node == null) {

            node = new Node(charArray[index],false);

        }

        

        if(charArray[index] < node.storeChar) {

            node.leftChild = this.insert(word, node.leftChild,index);

        } else if(charArray[index] > node.storeChar) {

            node.rightChild = this.insert(word, node.rightChild,index);

        } else {

            //如果为word最后一个字符,那么设置为单词完结,如为最后一个字符,必定进入这一步

            if(index + 1 == charArray.length) {

                node.isComplete = true;

            } else {

                node.centerChild = this.insert(word, node.centerChild,++index);

            }

        }

        

        return node;

    }

    

    //封装

    public void insert(String word) {

        root = this.insert(word,root,0);

    }

    



    public String toString()

    {

        traverse(root, "");

        return "\nTernary Search Tree : "+ result;

    }

    
  //遍历
private void traverse(Node node, String str) { if (node != null) { traverse(node.leftChild, str); str = str + node.storeChar; if (node.isComplete) result.add(str); traverse(node.centerChild, str); str = str.substring(0, str.length() - 1); traverse(node.rightChild, str); } } public boolean search(String word) { return search(root, word.toCharArray(), 0); } private boolean search(Node node, char[] word, int index) { if (node == null) return false; if (word[index] < node.storeChar) return search(node.leftChild, word, index); else if (word[index] > node.storeChar) return search(node.rightChild, word, index); else { if (node.isComplete && index == word.length - 1) return true; else if (index == word.length - 1) return false; else return search(node.centerChild, word, index + 1); } } public Node findNode(String prefix) { return findNode(root,prefix.toCharArray(),0); } public Node findNode(Node node, char[] word, int index) { if (node == null) return null; if (word[index] < node.storeChar) return findNode(node.leftChild, word, index); else if (word[index] > node.storeChar) return findNode(node.rightChild, word, index); else { if (index == word.length - 1) return node.centerChild; else return findNode(node.centerChild, word, index + 1); } } //查找前缀相同的word public HashSet<String> prefixSearch(String prefix,Node node) { if(node != null) { if(node.isComplete) { result.add(prefix + node.storeChar); } prefixSearch(prefix,node.leftChild); prefixSearch(prefix + node.storeChar,node.centerChild); prefixSearch(prefix,node.rightChild); } if(search(prefix)) result.add(prefix); return result; } public HashSet<String> prefixSearch(String prefix) { Node node = findNode(prefix); return prefixSearch(prefix,node); } public static void main(String[] args) { TernarySearchTree t = new TernarySearchTree(); t.insert("ab"); t.insert("abba"); t.insert("abcd"); t.insert("bcd"); HashSet<String> a = t.prefixSearch("ab"); for(String s : a) { System.out.println(s); } System.out.println(t); } }

 

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