Reputation: 135
I have a trie implementation and I want to print my trie out so I can see what's in it. Preferable in a depth first traversal so the words actually make sense. Here is my code:
package trie;
public class Trie {
public TrieNode root;
public Trie(){
root = new TrieNode();
}
/*
public Trie(char c){
TrieNode t = new TrieNode(c);
root = t;
}*/
public void insert(String s, int phraseNb){
int i = 0;
TrieNode node = root;
char[] string = s.toCharArray();
TrieNode child = null;
while(i < string.length){
child = node.getChild(string[i]);
if(child == null){
child = new TrieNode(string[i]);
node.addChild(child);
}
else{
node = child;
}
i++;
}
node.endOfWord();
node.setNb(phraseNb);
}
public int[] search(char[] c){
TrieNode node = root;
for(int i = 0; i < c.length-1; i++){
node = root;
int s = 0;
while(i+s < c.length){
TrieNode child = node.getChild(c[i + s]);
if(child == null){
break;
}
if(child.isWord()){
return new int[] {i, s+1, node.getNb()};
}
node = child;
s++;
}
}
return new int[] {-1, -1, -1};
}
public void print(){
}
}
package trie;
import java.io.*;
import java.util.*;
public class TrieNode {
private boolean endOfWord;
private int phraseNb;
private char letter;
private HashSet<TrieNode> children = new HashSet<TrieNode>();
public TrieNode(){}
public TrieNode(char letter){
this.letter = letter;
}
public boolean isWord(){
return endOfWord;
}
public void setNb(int nb){
phraseNb = nb;
}
public int getNb(){
return phraseNb;
}
public char getLetter(){
return letter;
}
public TrieNode getChild(char c){
for(TrieNode child: children){
if(c == child.getLetter()){
return child;
}
}
return null;
}
public Set<TrieNode> getChildren(){
return children;
}
public boolean addChild(TrieNode t){
return children.add(t);
}
public void endOfWord(){
endOfWord = true;
}
public void notEndOfWord(){
endOfWord = false;
}
}
Just an explanation as to how to go about doing it or some pseudo code is all I need. Thanks for your time.
Upvotes: 3
Views: 12289
Reputation: 3479
This is the full example of Trie Implementation using HashMap.
import java.util.Collection;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.Set;
import java.util.Map.Entry;
class TrieNode{
private char c;
private Map<Character,TrieNode> children = new HashMap<>();
private boolean isLeaf = false;
TrieNode(){
}
/**
* @param c the c to set
*/
public void setC(char c) {
this.c = c;
}
/**
* @return the children
*/
public Map<Character, TrieNode> getChildren() {
return children;
}
/**
* @return the isLeaf
*/
public boolean isLeaf() {
return isLeaf;
}
/**
* @return the c
*/
public char getC() {
return c;
}
/**
* @param isLeaf the isLeaf to set
*/
public void setLeaf(boolean isLeaf) {
this.isLeaf = isLeaf;
}
}
class Trie{
TrieNode rootNode;
public Trie(){
rootNode = new TrieNode();
}
public void insertWord(String word){
TrieNode current = rootNode;
for (int i = 0; i < word.length(); i++) {
char c = word.charAt(i);
Map<Character,TrieNode> children = current.getChildren();
if(children.containsKey(c)){
current = children.get(c);
}
else{
TrieNode trieNode = new TrieNode();
children.put(c, trieNode);
current = children.get(c);
}
}
current.setLeaf(true);
}
public boolean searchWord(String word){
TrieNode current = rootNode;
for (int i = 0; i < word.length(); i++) {
Map<Character,TrieNode> children = current.getChildren();
char c = word.charAt(i);
if(children.containsKey(c)){
current = children.get(c);
}
else{
return false;
}
}
if(current.isLeaf() && current!=null){
return true;
}
else{
return false;
}
}
public void print(TrieNode rootNode,int level, StringBuilder sequence) {
if(rootNode.isLeaf()){
sequence = sequence.insert(level, rootNode.getC());
System.out.println(sequence);
}
Map<Character, TrieNode> children = rootNode.getChildren();
Iterator<Character> iterator = children.keySet().iterator();
while (iterator.hasNext()) {
char character = iterator.next();
sequence = sequence.insert(level, character);
print(children.get(character), level+1, sequence);
sequence.deleteCharAt(level);
}
}
}
class TrieImplementation{
public static void main(String[] args) {
Trie trie = new Trie();
trie.insertWord("Done");
trie.insertWord("Dont");
trie.insertWord("Donor");
trie.insertWord("Sanjay");
trie.insertWord("Ravi");
trie.insertWord("RaviRaj");
TrieNode root = trie.rootNode;
trie.print(root,0,new StringBuilder(""));
System.out.println(trie.searchWord("Dont"));
System.out.println(trie.searchWord("Donor"));
System.out.println(trie.searchWord("Jay"));
System.out.println(trie.searchWord("Saviraj"));
System.out.println(trie.searchWord("RaviRaj"));
System.out.println(trie.searchWord("Aaviraj"));
}
}
Upvotes: 2
Reputation: 919
Here an example that I just threw together. Not the pretties printing and can only print the Trie once but it gets the job done. Hope it helps.
import java.util.*;
public class Trie
{
static TrieNode root = new TrieNode();
static char endMarker = '?';
public static void main(String[] args)
{
System.out.println(checkPresentsAndAdd("test"));
System.out.println(checkPresentsAndAdd("taser"));
System.out.println(checkPresentsAndAdd("tester"));
System.out.println(checkPresentsAndAdd("tasters"));
System.out.println(checkPresentsAndAdd("test"));
System.out.println(checkPresentsAndAdd("tester"));
printTrie(root);
}
public static boolean checkPresentsAndAdd(String word)
{
TrieNode node = root;
for(int i = 0; i < word.length(); i++)
{
char c = word.charAt(i);
if(node.checkIfNeighbor(c))
{
node = node.getNeighbor(c);
}
else
{
node.addNeighbor(c);
node = node.getNeighbor(c);
}
}
boolean nord = false;
if(!node.checkIfNeighbor(endMarker))
{
nord = true;
node.addNeighbor(endMarker);
}
return nord;
}
public static void printTrie(TrieNode node)
{
if(node == null || node.visited)
return;
LinkedList<TrieNode> q = new LinkedList<TrieNode>();
System.out.println(node);
node.visited = true;
q.add(node);
while (!q.isEmpty())
{
TrieNode x = q.removeFirst();
for(Map.Entry<Character,TrieNode> i : x.neighbors.entrySet())
{
if(i.getValue().visited == false)
{
System.out.println(i);
i.getValue().visited = true;
q.add(i.getValue());
}
}
}
}
}
class TrieNode
{
Map<Character, TrieNode> neighbors = new HashMap<Character, TrieNode>();
boolean visited = false;
public TrieNode(){}
public boolean checkIfNeighbor(char c)
{
return neighbors.containsKey(c);
}
public TrieNode getNeighbor(char c)
{
if(checkIfNeighbor(c))
{
return neighbors.get(c);
}
return null;
}
public void addNeighbor(char c)
{
TrieNode node = new TrieNode();
neighbors.put(c, node);
}
public String toString()
{
StringBuilder sb = new StringBuilder();
sb.append("Node:[neighbors: ");
sb.append(neighbors);
sb.append("]\n");
return sb.toString();
}
}
Upvotes: 0
Reputation: 89
This might help.
public void printTrie(TrieNode node,String s) {
String strSoFar = s;
strSoFar += String.valueOf(node.c);
if(node.isLeaf)
{
System.out.println(strSoFar);
return;
}
else
{
Stack<TrieNode> stack = new Stack<TrieNode>();
Iterator<TrieNode> itr = node.children.values().iterator();
while(itr.hasNext())
{
stack.add(itr.next());
}
while(!stack.empty()){
TrieNode t = stack.pop();
printTrie(t,strSoFar);
}
}
}
Try to call the function ,
trieObject.printTrie(trieObject.getRoot(), "");
Upvotes: 0
Reputation: 663
The visitor design pattern is often useful when dealing with composite data structures like Trie. It enables a developer to decouple the traversal of the composite data structure from the information retrieved at each node.
One could use the visitor design pattern to print the Trie.
Upvotes: 0
Reputation: 42501
I remember my university times when I tried to print the tree on console. Trie is the same in terms of printing IMO... This is what I did and this is what I suggest you to do as well: Take some paper and draw your trie there. Now think how would you like to print the trie. I think trie is composed like N-tree (not a binary but a tree that has a lot of children). Besides that its a recursive structure just like a tree. So you really can apply here the depth first approach.
Lets assume you want to print a trie like this (node 'a' is a root):
a
b
e
f
g
d
this is like a trie that contains words: ad abe abf abg
So you start with a root, accumulate the offset and traverse recursively:
printTrie(Node node, int offset) {
print(node, offset)
// here you can play with the order of the children
for(Node child : node.getChildren()) {
printTrie(child, offset + 2)
}
}
Start your recursion with:
printTrie(root, 0)
And you'll be done
I've used 2 as a constant to play with the offset change coefficient, change it to 3,4 or whatever and see what happens.
Hope this helps. Good luck!
Upvotes: 1