forked from YuanGongND/Facebook-Interview-Coding-1
-
Notifications
You must be signed in to change notification settings - Fork 0
/
211. Add and Search Word - Data structure design.java
67 lines (55 loc) · 1.94 KB
/
211. Add and Search Word - Data structure design.java
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
211. Add and Search Word - Data structure design
addWord("bad")
addWord("dad")
addWord("mad")
search("pad") -> false
search("bad") -> true
search(".ad") -> true
search("b..") -> true
Time: add / search: O(wordLength) average, For search -> max O(26^n)
Space: O(numOfTrieNode * 26) = O(numOfWords * wordLength * 26)
public class WordDictionary {
class TrieNode {
boolean isWord;
TrieNode[] children;
public TrieNode() {
children = new TrieNode[26];
}
}
TrieNode root;
/** Initialize your data structure here. */
public WordDictionary() {
root = new TrieNode();
}
/** Adds a word into the data structure. */
public void addWord(String word) {
TrieNode node = root;
char[] chs = word.toCharArray();
for (int i = 0; i < chs.length; i++) {
char c = chs[i];
if (node.children[c - 'a'] == null)
node.children[c - 'a'] = new TrieNode();
node = node.children[c - 'a'];
}
node.isWord = 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(word.toCharArray(), 0, root);
}
private boolean dfs(char[] word, int start, TrieNode root) {
if (start == word.length) return root.isWord;
char c = word[start];
if (c == '.') {
for (int i = 0; i < 26; i++)
if (root.children[i] != null && dfs(word, start + 1, root.children[i])) return true;
} else {
if (root.children[c - 'a'] != null)
return dfs(word, start + 1, root.children[c - 'a']);
}
return false;
}
}
*******************follow up******************
如果模糊查询只有"...book"和“book...”这两种模式怎么处 ,
回答,只要建 顺序 tire树,反序tire树,就可以 。