International Morse Code defines a standard encoding where each letter is mapped to a series of dots and dashes, as follows: "a"
maps to ".-"
, "b"
maps to "-..."
, "c"
maps to "-.-."
, and so on.
For convenience, the full table for the 26 letters of the English alphabet is given below:
[".-","-...","-.-.","-..",".","..-.","--.","....","..",".---","-.-",".-..","--","-.","---",".--.","--.-",".-.","...","-","..-","...-",".--","-..-","-.--","--.."]
Now, given a list of words, each word can be written as a concatenation of the Morse code of each letter. For example, “cab” can be written as “-.-.-….-“, (which is the concatenation “-.-.” + “-…” + “.-“). We’ll call such a concatenation, the transformation of a word.
Return the number of different transformations among all words we have.
Example: Input: words = ["gin", "zen", "gig", "msg"] Output: 2 Explanation: The transformation of each word is: "gin" -> "--...-." "zen" -> "--...-." "gig" -> "--...--." "msg" -> "--...--." There are 2 different transformations, "--...-." and "--...--.".
Note:
- The length of
words
will be at most100
. - Each
words[i]
will have length in range[1, 12]
. words[i]
will only consist of lowercase letters.
这道题说的就是大名鼎鼎的摩斯码了,给了我们所有字母的摩斯码的写法,然后给了我们一个单词数组,问我们表示这些单词的摩斯码有多少种。因为某些单词的摩斯码表示是相同的,比如gin和zen就是相同的。最简单直接的方法就是我们求出每一个单词的摩斯码,然后将其放入一个HashSet中,利用其去重复的特性,从而实现题目的要求,最终HashSet中元素的个数即为所求,参见代码如下:
class Solution { public: int uniqueMorseRepresentations(vector<string>& words) { vector<string> morse{".-","-...","-.-.","-..",".","..-.","--.","....","..",".---","-.-",".-..","--","-.","---",".--.","--.-",".-.","...","-","..-","...-",".--","-..-","-.--","--.."}; unordered_set<string> s; for (string word : words) { string t = ""; for (char c : word) t += morse[c - 'a']; s.insert(t); } return s.size(); } };
讨论:这道题其实没有充分发挥其潜力,摩斯码的场景很好,只是作为一道Easy题未免有些可惜了。一个比较显而易见的follow up就是,给我们一个摩斯码,问其有几种可能的单词组,比如给我们一个”–…-.”,那么我们知道至少有两种zen和gin,可能还有更多,这样是不是就更加有趣了呢?
类似题目:
https://leetcode.com/problems/unique-morse-code-words/solution/