[LeetCode] Shortest Word Distance II

本文介绍了一种通过哈希映射存储单词索引的方法来优化重复查找两个单词间最短距离的问题。通过实现一个类,在构造函数中接收单词列表,并提供一个方法用于返回任意两单词间的最短距离。

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Problem Description:

This is a follow up of Shortest Word Distance. The only difference is now you are given the list of words and your method will be called repeatedly many times with different parameters. How would you optimize it?

Design a class which receives a list of words in the constructor, and implements a method that takes two words word1 and word2 and return the shortest distance between these two words in the list.

For example,
Assume that words = ["practice", "makes", "perfect", "coding", "makes"].

Given word1 = "coding”word2 = "practice”, return 3.
Given word1 = "makes"word2 = "coding", return 1.

Note:
You may assume that word1 does not equal to word2, and word1 and word2 are both in the list.


The key idea is to store the indexes of each word using a hash map. Then the function shortest() is just to find the minimum difference between two sorted lists (see here for a method).

The code is as follows.

 1 class WordDistance {
 2 public:
 3     WordDistance(vector<string> words) {
 4         int n = words.size();
 5         for (int i = 0; i < n; i++)
 6             wordInd[words[i]].push_back(i);
 7     }
 8 
 9     int shortest(string word1, string word2) {
10         vector<int> indexes1 = wordInd[word1];
11         vector<int> indexes2 = wordInd[word2];
12         int m = indexes1.size(), n = indexes2.size();
13         int i = 0, j = 0, dist = INT_MAX;
14         while (i < m && j < n) {
15             dist = min(dist, abs(indexes1[i] - indexes2[j]));
16             if (indexes1[i] < indexes2[j]) i++;
17             else j++;
18         }
19         return dist;
20     }
21 private:
22     unordered_map<string, vector<int> > wordInd;
23 };
24 
25 
26 // Your WordDistance object will be instantiated and called as such:
27 // WordDistance wordDistance(words);
28 // wordDistance.shortest("word1", "word2");
29 // wordDistance.shortest("anotherWord1", "anotherWord2");

 

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