[Leetcode] 211. Add and Search Word - Data structure design 解题报告
2017-06-19 15:07
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题目:
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
A
For example:
Note:
You may assume that all words are consist of lowercase letters
思路:
这道题目的正解就是实现Trie这种数据结构(请参考我的博文《[Leetcode] 208. Implement Trie (Prefix Tree) 解题报告》)。唯一不同的地方在于本题目中出现了通配符‘.’,也就是说'.'可以通配a
4000
-z中的任意一个字符。因此在search中需要采用DFS进行穷举:一旦发现了通配符,则尝试将其替换成每一个可能的字符,一旦匹配成功就返回true;如果所有的匹配都失败,则返回false。
代码:
class TrieNode {
public:
bool isComplete;
TrieNode* ch[26];
TrieNode() {
isComplete = false;
for(int i = 0; i < 26; ++i) {
ch[i] = NULL;
}
}
};
class Trie {
public:
Trie() {
root = new TrieNode();
}
void insert(string word) {
TrieNode* p = root;
for(auto c : word) {
if(p->ch[c - 'a'] == NULL) {
p->ch[c - 'a'] = new TrieNode();
}
p = p->ch[c - 'a'];
}
p->isComplete = true;
}
bool search(string word) {
return dfs(root, word, 0);
}
bool dfs(TrieNode* p, string& word, int startIndex) {
if(p == NULL) {
return false;
}
if(startIndex == word.length()) {
return p->isComplete;
}
char c = word[startIndex];
if(c == '.') {
for(int i = 0; i < 26; ++i) {
if(p->ch[i] != NULL && dfs(p->ch[i], word, startIndex + 1)) {
return true;
}
}
return false;
}
else {
return dfs(p->ch[c-'a'], word, startIndex + 1);
}
}
private:
TrieNode* root;
};
class WordDictionary {
public:
/** Initialize your data structure here. */
WordDictionary() {
}
/** Adds a word into the data structure. */
void addWord(string word) {
trie.insert(word);
}
/** Returns if the word is in the data structure. A word could contain the dot character '.' to represent any one letter. */
bool search(string word) {
return trie.search(word);
}
private:
Trie trie;
};
/**
* Your WordDictionary object will be instantiated and called as such:
* WordDictionary obj = new WordDictionary();
* obj.addWord(word);
* bool param_2 = obj.search(word);
*/
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-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.
思路:
这道题目的正解就是实现Trie这种数据结构(请参考我的博文《[Leetcode] 208. Implement Trie (Prefix Tree) 解题报告》)。唯一不同的地方在于本题目中出现了通配符‘.’,也就是说'.'可以通配a
4000
-z中的任意一个字符。因此在search中需要采用DFS进行穷举:一旦发现了通配符,则尝试将其替换成每一个可能的字符,一旦匹配成功就返回true;如果所有的匹配都失败,则返回false。
代码:
class TrieNode {
public:
bool isComplete;
TrieNode* ch[26];
TrieNode() {
isComplete = false;
for(int i = 0; i < 26; ++i) {
ch[i] = NULL;
}
}
};
class Trie {
public:
Trie() {
root = new TrieNode();
}
void insert(string word) {
TrieNode* p = root;
for(auto c : word) {
if(p->ch[c - 'a'] == NULL) {
p->ch[c - 'a'] = new TrieNode();
}
p = p->ch[c - 'a'];
}
p->isComplete = true;
}
bool search(string word) {
return dfs(root, word, 0);
}
bool dfs(TrieNode* p, string& word, int startIndex) {
if(p == NULL) {
return false;
}
if(startIndex == word.length()) {
return p->isComplete;
}
char c = word[startIndex];
if(c == '.') {
for(int i = 0; i < 26; ++i) {
if(p->ch[i] != NULL && dfs(p->ch[i], word, startIndex + 1)) {
return true;
}
}
return false;
}
else {
return dfs(p->ch[c-'a'], word, startIndex + 1);
}
}
private:
TrieNode* root;
};
class WordDictionary {
public:
/** Initialize your data structure here. */
WordDictionary() {
}
/** Adds a word into the data structure. */
void addWord(string word) {
trie.insert(word);
}
/** Returns if the word is in the data structure. A word could contain the dot character '.' to represent any one letter. */
bool search(string word) {
return trie.search(word);
}
private:
Trie trie;
};
/**
* Your WordDictionary object will be instantiated and called as such:
* WordDictionary obj = new WordDictionary();
* obj.addWord(word);
* bool param_2 = obj.search(word);
*/
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