[LeetCode] 676. Implement Magic Dictionary 实现神奇字典
Implement a magic directory with buildDict, and search methods.
For the method buildDict, you'll be given a list of non-repetitive words to build a dictionary.
For the method search, you'll be given a word, and judge whether if you modify exactly one character into another character in this word, the modified word is in the dictionary you just built.
Example 1:
Input: buildDict(["hello", "leetcode"]), Output: Null
Input: search("hello"), Output: False
Input: search("hhllo"), Output: True
Input: search("hell"), Output: False
Input: search("leetcoded"), Output: False
Note:
- You may assume that all the inputs are consist of lowercase letters
a-z. - For contest purpose, the test data is rather small by now. You could think about highly efficient algorithm after the contest.
- Please remember to RESET your class variables declared in class MagicDictionary, as static/class variables are persisted across multiple test cases. Please see here for more details.
实现一个神奇字典,包含buildDict和search函数。buildDict函数的功能是能把给的没有重复单词的列表建立一个字典,search函数的功能是存在和这个单词只有一个位置上的字符不同返回true,否则返回false。
Java:
class MagicDictionary {
Map<String, List<int[]>> map = new HashMap<>();
/** Initialize your data structure here. */
public MagicDictionary() {
}
/** Build a dictionary through a list of words */
public void buildDict(String[] dict) {
for (String s : dict) {
for (int i = 0; i < s.length(); i++) {
String key = s.substring(0, i) + s.substring(i + 1);
int[] pair = new int[] {i, s.charAt(i)};
List<int[]> val = map.getOrDefault(key, new ArrayList<int[]>());
val.add(pair);
map.put(key, val);
}
}
}
/** Returns if there is any word in the trie that equals to the given word after modifying exactly one character */
public boolean search(String word) {
for (int i = 0; i < word.length(); i++) {
String key = word.substring(0, i) + word.substring(i + 1);
if (map.containsKey(key)) {
for (int[] pair : map.get(key)) {
if (pair[0] == i && pair[1] != word.charAt(i)) return true;
}
}
}
return false;
}
}
Python:
class MagicDictionary(object):
def _candidates(self, word):
for i in xrange(len(word)):
yield word[:i] + '*' + word[i+1:] def buildDict(self, words):
self.words = set(words)
self.near = collections.Counter(cand for word in words
for cand in self._candidates(word)) def search(self, word):
return any(self.near[cand] > 1 or
self.near[cand] == 1 and word not in self.words
for cand in self._candidates(word))
Python:
# Time: O(n), n is the length of the word
# Space: O(d) import collections class MagicDictionary(object): def __init__(self):
"""
Initialize your data structure here.
"""
_trie = lambda: collections.defaultdict(_trie)
self.trie = _trie() def buildDict(self, dictionary):
"""
Build a dictionary through a list of words
:type dictionary: List[str]
:rtype: void
"""
for word in dictionary:
reduce(dict.__getitem__, word, self.trie).setdefault("_end") def search(self, word):
"""
Returns if there is any word in the trie that equals to the given word after modifying exactly one character
:type word: str
:rtype: bool
"""
def find(word, curr, i, mistakeAllowed):
if i == len(word):
return "_end" in curr and not mistakeAllowed if word[i] not in curr:
return any(find(word, curr[c], i+1, False) for c in curr if c != "_end") \
if mistakeAllowed else False if mistakeAllowed:
return find(word, curr[word[i]], i+1, True) or \
any(find(word, curr[c], i+1, False) \
for c in curr if c not in ("_end", word[i]))
return find(word, curr[word[i]], i+1, False) return find(word, self.trie, 0, True)
C++:
class MagicDictionary {
public:
/** Initialize your data structure here. */
MagicDictionary() {}
/** Build a dictionary through a list of words */
void buildDict(vector<string> dict) {
for (string word : dict) {
m[word.size()].push_back(word);
}
}
/** Returns if there is any word in the trie that equals to the given word after modifying exactly one character */
bool search(string word) {
for (string str : m[word.size()]) {
int cnt = 0, i = 0;
for (; i < word.size(); ++i) {
if (word[i] == str[i]) continue;
if (word[i] != str[i] && cnt == 1) break;
++cnt;
}
if (i == word.size() && cnt == 1) return true;
}
return false;
}
private:
unordered_map<int, vector<string>> m;
};
C++:
class MagicDictionary {
public:
/** Initialize your data structure here. */
MagicDictionary() {}
/** Build a dictionary through a list of words */
void buildDict(vector<string> dict) {
for (string word : dict) s.insert(word);
}
/** Returns if there is any word in the trie that equals to the given word after modifying exactly one character */
bool search(string word) {
for (int i = 0; i < word.size(); ++i) {
char t = word[i];
for (char c = 'a'; c <= 'z'; ++c) {
if (c == t) continue;
word[i] = c;
if (s.count(word)) return true;
}
word[i] = t;
}
return false;
}
private:
unordered_set<string> s;
};
类似题目:
[LeetCode] 208. Implement Trie (Prefix Tree) 实现字典树(前缀树)
720. Longest Word in Dictionary
All LeetCode Questions List 题目汇总
[LeetCode] 676. Implement Magic Dictionary 实现神奇字典的更多相关文章
- [LeetCode] Implement Magic Dictionary 实现神奇字典
Implement a magic directory with buildDict, and search methods. For the method buildDict, you'll be ...
- LeetCode 676. Implement Magic Dictionary实现一个魔法字典 (C++/Java)
题目: Implement a magic directory with buildDict, and search methods. For the method buildDict, you'll ...
- Week6 - 676.Implement Magic Dictionary
Week6 - 676.Implement Magic Dictionary Implement a magic directory with buildDict, and search method ...
- LC 676. Implement Magic Dictionary
Implement a magic directory with buildDict, and search methods. For the method buildDict, you'll be ...
- 【LeetCode】676. Implement Magic Dictionary 解题报告(Python & C++)
作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 字典 汉明间距 日期 题目地址:https://le ...
- 676. Implement Magic Dictionary
Implement a magic directory with buildDict, and search methods. For the method buildDict, you'll be ...
- [LeetCode] 208. Implement Trie (Prefix Tree) 实现字典树(前缀树)
Implement a trie with insert, search, and startsWith methods. Example: Trie trie = new Trie(); trie. ...
- [Swift]LeetCode676. 实现一个魔法字典 | Implement Magic Dictionary
Implement a magic directory with buildDict, and search methods. For the method buildDict, you'll be ...
- LeetCode - Implement Magic Dictionary
Implement a magic directory with buildDict, and search methods. For the method buildDict, you'll be ...
随机推荐
- Xenia and Weights(Codeforces Round #197 (Div. 2)+DP)
题目链接 传送门 思路 \(dp[i][j][k]\)表示第\(i\)次操作放\(j\)后与另一堆的重量差为\(k\)是否存在. 代码实现如下 #include <set> #includ ...
- java服务端的效率
java服务端的效率 可以的 socketclient thread 线程池 发送消息 80个socket client并发
- AtCoder Beginner Contest 132 解题报告
前四题都好水.后面两道题好难. C Divide the Problems #include <cstdio> #include <algorithm> using names ...
- LOJ P10130 点的距离 题解
这道题相当于倍增求LCA的板子,我们只要构建一棵树,然后距离就是x的深度+y的深度 - LCA(x,y)的深度: #include<iostream> #include<cstdio ...
- H5中实现加载更多的逻辑及代码执行。
H5中加载更多的逻辑总结: 1.首先,需要三个底部的提示,分别是“加载中”.“--我是有底线的--”.“暂时没有记录”,当然,这三句话根据不同的项目,可以自定义.具体代码例子如下: <div c ...
- learning java Encoder and Decoder
import java.nio.ByteBuffer; import java.nio.CharBuffer; import java.nio.charset.CharacterCodingExcep ...
- CSS行内块元素(内联元素)
一.典型代表 input img 二.特点: 在一行上显示 可以设置宽高 <style type="text/css"> img{ width: 300px; /* 顶 ...
- pyqt5 + pyinstaller 制作爬虫小程序
环境:mac python3.7 pyqt5 pyinstaller ps: 主要是熟悉pyqt5, 加入了单选框 输入框 文本框 文件夹选择框及日历下拉框 效果图: pyqt5 主程序文件 # -* ...
- 洛谷 P2813【母舰】 题解
总体思路: 输入护盾和攻击力,然后快速排序sort走起来, 排完序之后从第一个开始找,如果攻击力大于护盾,护盾继续下一个, 这个攻击力记录为0,如果小雨的话,那就攻击力继续下一个,护盾不动, 其中最为 ...
- I Count Two Three(打表+排序+二分查找)
I Count Two Three 二分查找用lower_bound 这道题用cin,cout会超时... AC代码: /* */ # include <iostream> # inclu ...