package com.freetymekiyan.algorithms.level.easy;
/**
* Given a list of words and two words word1 and word2, return the shortest distance between these two words in the
* list.
* <p>
* For example,
* Assume that words = ["practice", "makes", "perfect", "coding", "makes"].
* <p>
* Given word1 = “coding”, word2 = “practice”, return 3.
* Given word1 = "makes", word2 = "coding", return 1.
* <p>
* Note:
* You may assume that word1 does not equal to word2, and word1 and word2 are both in the list.
* <p>
* Company Tags: LinkedIn
* Tags: Array
* Similar Problems: (M) Shortest Word Distance II, (M) Shortest Word Distance III
*/
public class ShortestWordDistance {
/**
* Array. Only one index.
* Remember the previous index word1 or word2 seen.
* Iterate through the array.
* If we find either word1 or word2.
* If previous index is initialized, and previous word is not same as the current one, update min.
* Then we update previous index.
*/
public int shortestWordDistance(String[] words, String word1, String word2) {
int prevIndex = -1;
int min = words.length;
for (int i = 0; i < words.length; i++) {
if (words[i].equals(word1) || words[i].equals(word2)) {
if (prevIndex != -1 && !words[prevIndex].equals(words[i])) {
min = Math.min(i - prevIndex, min);
}
prevIndex = i;
}
}
return min;
}
/**
* Array. Two indices.
* Words can have duplicates, so we cannot use a map directly.
* The distance between is abs(index1 - index2).
* We can update this distance every time index1 or index2 is updated.
* Then we store the minimum among these values.
*/
public int shortestDistanceB(String[] words, String word1, String word2) {
int i1 = -1;
int i2 = -1;
int shortest = Integer.MAX_VALUE;
for (int i = 0; i < words.length; i++) {
if (words[i].equals(word1)) {
i1 = i;
if (i2 != -1) {
shortest = Math.min(shortest, Math.abs(i1 - i2));
}
}
if (words[i].equals(word2)) {
i2 = i;
if (i1 != -1) {
shortest = Math.min(shortest, Math.abs(i1 - i2));
}
}
}
return shortest;
}
}