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.
For 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
.
You should be familiar with how a Trie works. If not, please work on this problem:
Implement Trie (Prefix Tree) first.
</pre><pre name="code" class="java">public class WordDictionary {
class TrieNode {
// Initialize your data structure here.
boolean isEnd = false;
public TrieNode() {
}
TrieNode[] next;
}
TrieNode root = new TrieNode();
// Adds a word into the data structure.
public void addWord(String word) {
TrieNode current = root;
for (int i = 0; i < word.length(); i++) {
if (current.next == null)
current.next = new TrieNode[26];
if (current.next[word.charAt(i) - 'a'] == null)
current.next[word.charAt(i) - 'a'] = new TrieNode();
if (i == word.length() - 1)
current.next[word.charAt(i) - 'a'].isEnd = true;
current = current.next[word.charAt(i) - 'a'];
}
}
// 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) {
Queue<TrieNode> que = new LinkedList<>();
Queue<TrieNode> next = new LinkedList<>();
int i = 0;
que.offer(root);
while (!que.isEmpty() && i < word.length()) {
char c = word.charAt(i);
while (!que.isEmpty()) {
TrieNode tn = que.poll();
if (c != '.') {
if (tn.next == null||tn.next[c - 'a'] == null)
continue;
next.offer(tn.next[c - 'a']);
} else {
if (tn.next == null) continue;
for (int j = 0; j < tn.next.length; j++) {
if (tn.next[j] != null)
next.offer(tn.next[j]);
}
}
}
i++;
if (i == word.length()) {
while (!next.isEmpty()) {
if (next.poll().isEnd)
return true;
}
return false;
} else {
Queue<TrieNode> tmp = que;
que = next;
next = tmp;
if (que.isEmpty())
return false;
}
}
throw new IllegalArgumentException();
}
}
// Your WordDictionary object will be instantiated and called as such:
// WordDictionary wordDictionary = new WordDictionary();
// wordDictionary.addWord("word");
// wordDictionary.search("pattern");