作者: 负雪明烛
id: fuxuemingzhu
个人博客: http://fuxuemingzhu.cn/


题目地址:https://leetcode.com/problems/implement-magic-dictionary/description/

题目描述

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:

  1. You may assume that all the inputs are consist of lowercase letters a-z.
  2. For contest purpose, the test data is rather small by now. You could think about highly efficient algorithm after the contest.
  3. 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.

题目大意

判断只修改一个字符的情况下,能不能把search()输入的字符串变成buildDict()中已有的字符。

解题方法

字典

这个题可以直接使用dict完成。我们在进行buildDict()操作的时候就统计出如果修改一个字符能变成的字符串的个数。在search的过程中,我们要同样的看该word在修改一个字符的情况下能变成哪些字符串。

注意题目中说search时不能和已有的字符串完全一样,但是如果修改该词的某个字符构成的字符串能在buildDict()中出现的次数>1,那么说明可被与其不等的其他的字符串修改一个字符串构成。

顺便学习了一下python运算符的优先级:

优先级关系:or<and<not,同一优先级默认从左往右计算。

用案例进行说明:

Your input

["MagicDictionary", "buildDict", "search", "search", "search", "search"]
[[], [["hello","leetcode"]], ["hello"], ["hhllo"], ["hell"], ["leetcoded"]]
["MagicDictionary", "buildDict", "search", "search", "search", "search"]
[[], [["hello","hallo","leetcode"]], ["hello"], ["hhllo"], ["hell"], ["leetcoded"]]

Your stdout

set([u'hello', u'leetcode'])
Counter({u'leetc*de': 1, u'*ello': 1, u'lee*code': 1, u'le*tcode': 1, u'leetco*e': 1, u'h*llo': 1, u'hel*o': 1, u'l*etcode': 1, u'leetcod*': 1, u'*eetcode': 1, u'hell*': 1, u'he*lo': 1, u'leet*ode': 1})
set([u'hallo', u'hello', u'leetcode'])
Counter({u'h*llo': 2, u'leetc*de': 1, u'*ello': 1, u'hall*': 1, u'ha*lo': 1, u'le*tcode': 1, u'hal*o': 1, u'hel*o': 1, u'l*etcode': 1, u'leetco*e': 1, u'leetcod*': 1, u'lee*code': 1, u'*allo': 1, u'hell*': 1, u'he*lo': 1, u'*eetcode': 1, u'leet*ode': 1})

Your answer

[null,null,false,true,false,false]
[null,null,true,true,false,false]

代码:

class MagicDictionary(object):

    def _candidate(self, word):
for i in range(len(word)):
yield word[:i] + '*' + word[i+1:] def buildDict(self, words):
"""
Build a dictionary through a list of words
:type dict: List[str]
:rtype: void
"""
self.words = set(words)
print self.words
self.near = collections.Counter([word for word in words for word in self._candidate(word)])
print self.near 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
"""
return any(self.near[cand] > 1 or self.near[cand] == 1 and word not in self.words for cand in self._candidate(word)) # Your MagicDictionary object will be instantiated and called as such:
# obj = MagicDictionary()
# obj.buildDict(dict)
# param_2 = obj.search(word)

汉明间距

题目的意思其实就是找汉明间距为1的字符串。

二刷的时候,使用更简单的方法。首先判断字符串长度是否相等,在相等的情况下,判断字符串之间不同的字符是不是只有一位,如果是的话,那就返回true;如果遍历结束都没找到最后的结果,就返回false;

class MagicDictionary {
public:
/** Initialize your data structure here. */
MagicDictionary() { } /** Build a dictionary through a list of words */
void buildDict(vector<string> dict) {
d = dict;
} /** 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 wd : d) {
const int N = wd.size();
if (N == word.size()) {
int diff = 0;
for (int i = 0; i < N; ++i) {
if (wd[i] != word[i])
diff ++;
}
if (diff == 1)
return true;
}
}
return false;
}
private:
vector<string> d;
}; /**
* Your MagicDictionary object will be instantiated and called as such:
* MagicDictionary obj = new MagicDictionary();
* obj.buildDict(dict);
* bool param_2 = obj.search(word);
*/

日期

2018 年 3 月 5 日
2018 年 12 月 18 日 —— 改革开放40周年

【LeetCode】676. Implement Magic Dictionary 解题报告(Python & C++)的更多相关文章

  1. [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 ...

  2. 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 ...

  3. Week6 - 676.Implement Magic Dictionary

    Week6 - 676.Implement Magic Dictionary Implement a magic directory with buildDict, and search method ...

  4. LC 676. Implement Magic Dictionary

    Implement a magic directory with buildDict, and search methods. For the method buildDict, you'll be ...

  5. 676. Implement Magic Dictionary

    Implement a magic directory with buildDict, and search methods. For the method buildDict, you'll be ...

  6. 【LeetCode】62. Unique Paths 解题报告(Python & C++)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 题目地址:https://leetcode.com/problems/unique-pa ...

  7. 【LeetCode】911. Online Election 解题报告(Python)

    [LeetCode]911. Online Election 解题报告(Python) 作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ ...

  8. 【LeetCode】385. Mini Parser 解题报告(Python)

    [LeetCode]385. Mini Parser 解题报告(Python) 标签: LeetCode 题目地址:https://leetcode.com/problems/mini-parser/ ...

  9. 【LeetCode】376. Wiggle Subsequence 解题报告(Python)

    [LeetCode]376. Wiggle Subsequence 解题报告(Python) 作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.c ...

随机推荐

  1. Oracle-like 多条件过滤以及and or用法

    1.select * from  file  where DOC_SUBJECT  not like '%测试%' and (DOC_STATUS like '待审' or DOC_STATUS li ...

  2. 【模板】缩点(Tarjan算法)/洛谷P3387

    题目链接 https://www.luogu.com.cn/problem/P3387 题目大意 给定一个 \(n\) 个点 \(m\) 条边有向图,每个点有一个权值,求一条路径,使路径经过的点权值之 ...

  3. 日常Java 2021/11/3

    java网络编程 网络编程是指编写运行在多个设备(计算机)的程序,这些设备都通过网络连接起来.java.net包中J2SE的APl包含有类和接口,它们提供低层次的通信细节.你可以直接使用这些类和接口, ...

  4. 网卡命令ifconfig

    • ifconfig • service network restart • ifdown eth0 • ifdown eth0 #linux下run networkexport USER=lizhe ...

  5. Zookeeper【概述、安装、原理、使用】

    目录 第1章 Zookeeper入门 1.1 概述 1.2 特点 1.3 数据结构 1.4应用场景 第2章 Zookeep安装 2.1 下载地址 2.2 本地模式安装 1. 安装前准备 2. 配置修改 ...

  6. 石墨文档Websocket百万长连接技术实践

    引言 在石墨文档的部分业务中,例如文档分享.评论.幻灯片演示和文档表格跟随等场景,涉及到多客户端数据同步和服务端批量数据推送的需求,一般的 HTTP 协议无法满足服务端主动 Push 数据的场景,因此 ...

  7. sax方式解析XML学习笔记

    原理:对文档进行顺序扫描,当扫描到文档(document)开始与结束,元素开始与结束.文档结束等地方 通知事件处理函数,由事件处理函数相应动作然后继续同样的扫描,直至文档结束. 优点:消耗资源比较少: ...

  8. redis入门到精通系列(七):redis高级数据类型详解(BitMaps,HyperLogLog,GEO)

    高级数据类型和五种基本数据类型不同,并非新的数据结构.高级数据类型往往是用来解决一些业务场景. (一)BitMaps (1.1) BitMaps概述 在应用场景中,有一些数据只有两个属性,比如是否是学 ...

  9. 『与善仁』Appium基础 — 20、Appium元素定位

    目录 1.by_id定位 2.by_name定位 3.by_class_name定位 4.by_xpath定位 5.by_accessibility_id定位 6.by_android_uiautom ...

  10. shell脚本 awk实现实时监控网卡流量

    一.简介 通过第3方工具获得网卡流量,这个大家一定很清楚.其实通过脚本一样可以实现效果.下面是我个人工作中整理的数据.以下是shell脚本统计网卡流量. 现原理: cat /proc/net/dev ...