leetcode--Add and Search Word - Data structure design
2017-08-08 14:17
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Design a data structure that supports the following two operations:
search(word) can search a literal word or a regular expression string containing only letters
For example:
Note:
You may assume that all words are consist of lowercase letters
click to show hint.
You should be familiar with how a Trie works. If not, please work on this problem: Implement
Trie (Prefix Tree) first.
[java] view
plain copy
class TrieNode {
// Initialize your data structure here.
public TrieNode() {}
Map<Character,TrieNode> next = new HashMap<Character,TrieNode>();
char c='\0';
boolean isEnd = false;
public TrieNode(char c) {
this.c = c;
}
}
public class WordDictionary {
private TrieNode root;
public WordDictionary() {
root = new TrieNode();
}
// Adds a word into the data structure.
public void addWord(String word) {
Map<Character, TrieNode> children = root.next;
for(int i=0; i<word.length(); i++) {
char c = word.charAt(i);
TrieNode t;
if(children.containsKey(c)) {
t = children.get(c);
} else {
t = new TrieNode(c);
children.put(c, t);
}
children = t.next;
if(i==word.length()-1) t.isEnd=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 helper(word,root);
}
public boolean helper(String word,TrieNode tn){
if(tn==null) return false;
if(word.length() == 0 ) return tn.isEnd;
Map<Character, TrieNode> children = tn.next;
TrieNode t = null;
char c = word.charAt(0);
if(c=='.') {
for(char key : children.keySet() ) {
if(helper(word.substring(1), children.get(key) )) return true;
}
return false;
} else if(!children.containsKey(c)) {
return false;
} else {
t = children.get(c);
return helper(word.substring(1), t);
}
}
}
// Your WordDictionary object will be instantiated and called as such:
// WordDictionary wordDictionary = new WordDictionary();
// wordDictionary.addWord("word");
// wordDictionary.search("pattern");
原文链接http://blog.csdn.net/crazy__chen/article/details/46576277
void addWord(word) bool search(word)
search(word) can search a literal word or a regular expression string containing only letters
a-zor
.. 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.
click to show hint.
You should be familiar with how a Trie works. If not, please work on this problem: Implement
Trie (Prefix Tree) first.
[java] view
plain copy
class TrieNode {
// Initialize your data structure here.
public TrieNode() {}
Map<Character,TrieNode> next = new HashMap<Character,TrieNode>();
char c='\0';
boolean isEnd = false;
public TrieNode(char c) {
this.c = c;
}
}
public class WordDictionary {
private TrieNode root;
public WordDictionary() {
root = new TrieNode();
}
// Adds a word into the data structure.
public void addWord(String word) {
Map<Character, TrieNode> children = root.next;
for(int i=0; i<word.length(); i++) {
char c = word.charAt(i);
TrieNode t;
if(children.containsKey(c)) {
t = children.get(c);
} else {
t = new TrieNode(c);
children.put(c, t);
}
children = t.next;
if(i==word.length()-1) t.isEnd=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 helper(word,root);
}
public boolean helper(String word,TrieNode tn){
if(tn==null) return false;
if(word.length() == 0 ) return tn.isEnd;
Map<Character, TrieNode> children = tn.next;
TrieNode t = null;
char c = word.charAt(0);
if(c=='.') {
for(char key : children.keySet() ) {
if(helper(word.substring(1), children.get(key) )) return true;
}
return false;
} else if(!children.containsKey(c)) {
return false;
} else {
t = children.get(c);
return helper(word.substring(1), t);
}
}
}
// Your WordDictionary object will be instantiated and called as such:
// WordDictionary wordDictionary = new WordDictionary();
// wordDictionary.addWord("word");
// wordDictionary.search("pattern");
原文链接http://blog.csdn.net/crazy__chen/article/details/46576277
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