I was thinking to use unordered_multimap. However, seems like this STL needs to use expand_range method to extract the low_range and high_range of a target word.
It is overall not convenient to use. Better to use unordered_map<string, vector<int> > ....
#include <vector>
#include <string>
#include <unordered_map>
#include <iostream>
#include <climits>
using namespace std;
/*
Given a list of words and two words wor1 and word2, return the shortest distance
between these two words in the list.
word1 and word2 may be the same, and they represent two individual words in the list.
for example:
Assume that words = ["practise", "makes", "perfect", "coding", "makes"]
Given word1 = "makes", word2 = "coding", return 1
Given word1 = "makes", word2 = "makes", return 3.
*/
int shortestWordDistance(vector<string>& words, string word1, string word2) {
unordered_map<string, vector<int> > hash;
for(int i = 0; i < words.size(); ++i) {
hash[words[i]].push_back(i);
}
int minDistance = INT_MAX;
if(word1 == word2) {
for(int i = 0; i < hash[word1].size(); ++i) {
minDistance = min(minDistance, abs(hash[word1][i+1] - hash[word1][i]));
}
} else {
for(int i = 0; i < hash[word1].size(); ++i) {
for(int j = 0; j < hash[word2].size(); ++j) {
minDistance = min(minDistance, abs(hash[word1][i] - hash[word2][j]));
}
}
}
return minDistance;
}
int main(void) {
vector<string> words{"practise", "makes", "perfect", "coding", "makes"};
cout << shortestWordDistance(words, "makes", "makes") << endl;
cout << shortestWordDistance(words, "makes", "coding") << endl;
}
本文介绍了一种算法,用于计算给定列表中两个指定单词之间的最短距离。该算法使用了unordered_map来存储每个单词出现的位置,并通过遍历这些位置来找到最小距离。
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