August 05, 2020

#LeetCode: Add and Search Word - Data structure design

Design a data structure that supports the following two operations:
  • void addWord(word)
  • bool search(word)
search(word) can search a literal word or a regular expression string containing only letters a-z or .. A . means it can represent any one letter.

Example:
addWord("bad")
addWord("dad")
addWord("mad")
search("pad") - > false
search("bad") - > true
search(".ad") - > true
search("b..") - > true

Note:
You may assume that all words are consist of lowercase letters a-z.

GIT URL: Java Solution of Leet Code's Add and Search Word problem

Java Solution

public class WordDictionary {
private TrieNode root;
/** Initialize your data structure here. */
public WordDictionary() {
root = new TrieNode();
}
/** Adds a word into the data structure. */
public void addWord(String word) {
HashMap<Character, TrieNode> children = root.children;
TrieNode t = null;
char c;
for (int i = 0; i < word.length(); i++) {
c = word.charAt(i);
if (children.containsKey(c))
t = children.get(c);
else {
t = new TrieNode(c);
children.put(c, t);
}
children = t.children;
if (i == word.length() - 1)
t.isLeaf = true;
}
}
/** Returns if the word is in the data structure.
* A word could contain the dot character '.'
* to represent any one letter. */
public boolean search(String word) {
return dfs(root.children, word, 0);
}
public boolean dfs(HashMap<Character, TrieNode> children, String word, int start) {
if(start == word.length()){
if(children.size()==0)
return true;
else
return false;
}
char c = word.charAt(start);
if(children.containsKey(c)){
if(start == word.length()-1 && children.get(c).isLeaf){
return true;
}
return dfs(children.get(c).children, word, start+1);
}else if(c == '.'){
boolean result = false;
for(Map.Entry<Character, TrieNode> child: children.entrySet()){
if(start == word.length()-1 && child.getValue().isLeaf){
return true;
}
//if any path is true, set result to be true;
if(dfs(child.getValue().children, word, start+1)){
result = true;
}
}
return result;
}else{
return false;
}
}
}
class TrieNode{
char c;
HashMap<Character, TrieNode> children = new HashMap<Character, TrieNode>();
boolean isLeaf;
public TrieNode() {}
public TrieNode(char c){
this.c = c;
}
}



-K Himaanshu Shuklaa.

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