g1501_1600.s1583_count_unhappy_friends.Solution Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of leetcode-in-java21 Show documentation
Show all versions of leetcode-in-java21 Show documentation
Java-based LeetCode algorithm problem solutions, regularly updated
package g1501_1600.s1583_count_unhappy_friends;
// #Medium #Array #Simulation #2022_04_11_Time_3_ms_(93.13%)_Space_63.8_MB_(64.81%)
import java.util.HashMap;
import java.util.Map;
/**
* 1583 - Count Unhappy Friends\.
*
* Medium
*
* You are given a list of `preferences` for `n` friends, where `n` is always **even**.
*
* For each person `i`, `preferences[i]` contains a list of friends **sorted** in the **order of preference**. In other words, a friend earlier in the list is more preferred than a friend later in the list. Friends in each list are denoted by integers from `0` to `n-1`.
*
* All the friends are divided into pairs. The pairings are given in a list `pairs`, where pairs[i] = [xi, yi]
denotes xi
is paired with yi
and yi
is paired with xi
.
*
* However, this pairing may cause some of the friends to be unhappy. A friend `x` is unhappy if `x` is paired with `y` and there exists a friend `u` who is paired with `v` but:
*
* * `x` prefers `u` over `y`, and
* * `u` prefers `x` over `v`.
*
* Return _the number of unhappy friends_.
*
* **Example 1:**
*
* **Input:** n = 4, preferences = \[\[1, 2, 3], [3, 2, 0], [3, 1, 0], [1, 2, 0]], pairs = \[\[0, 1], [2, 3]]
*
* **Output:** 2
*
* **Explanation:**
*
* Friend 1 is unhappy because:
*
* - 1 is paired with 0 but prefers 3 over 0, and
*
* - 3 prefers 1 over 2.
*
* Friend 3 is unhappy because:
*
* - 3 is paired with 2 but prefers 1 over 2, and
*
* - 1 prefers 3 over 0.
*
* Friends 0 and 2 are happy.
*
* **Example 2:**
*
* **Input:** n = 2, preferences = \[\[1], [0]], pairs = \[\[1, 0]]
*
* **Output:** 0
*
* **Explanation:** Both friends 0 and 1 are happy.
*
* **Example 3:**
*
* **Input:** n = 4, preferences = \[\[1, 3, 2], [2, 3, 0], [1, 3, 0], [0, 2, 1]], pairs = \[\[1, 3], [0, 2]]
*
* **Output:** 4
*
* **Constraints:**
*
* * `2 <= n <= 500`
* * `n` is even.
* * `preferences.length == n`
* * `preferences[i].length == n - 1`
* * `0 <= preferences[i][j] <= n - 1`
* * `preferences[i]` does not contain `i`.
* * All values in `preferences[i]` are unique.
* * `pairs.length == n/2`
* * `pairs[i].length == 2`
* * xi != yi
* * 0 <= xi, yi <= n - 1
* * Each person is contained in **exactly one** pair.
**/
@SuppressWarnings("java:S1172")
public class Solution {
public int unhappyFriends(int n, int[][] preferences, int[][] pairs) {
int unhappyFriends = 0;
Map assignedPair = new HashMap<>();
for (int[] pair : pairs) {
assignedPair.put(pair[0], pair[1]);
assignedPair.put(pair[1], pair[0]);
}
for (int[] pair : pairs) {
if (isUnHappy(pair[1], pair[0], preferences, assignedPair)) {
unhappyFriends++;
}
if (isUnHappy(pair[0], pair[1], preferences, assignedPair)) {
unhappyFriends++;
}
}
return unhappyFriends;
}
private boolean isUnHappy(
int self,
int assignedFriend,
int[][] preferences,
Map assignedPairs) {
int[] preference = preferences[self];
int assignedFriendPreferenceIndex = findIndex(preference, assignedFriend);
for (int i = 0; i <= assignedFriendPreferenceIndex; i++) {
int preferredFriend = preference[i];
int preferredFriendAssignedFriend = assignedPairs.get(preferredFriend);
if (preferredFriendAssignedFriend == self) {
return false;
}
int candidateAssignedFriendIndex =
findIndex(preferences[preferredFriend], preferredFriendAssignedFriend);
if (isPreferred(self, preferences[preferredFriend], candidateAssignedFriendIndex)) {
return true;
}
}
return false;
}
private boolean isPreferred(int self, int[] preference, int boundary) {
for (int i = 0; i <= boundary; i++) {
if (self == preference[i]) {
return true;
}
}
return false;
}
private int findIndex(int[] preference, int assignedFriend) {
for (int i = 0; i < preference.length; i++) {
if (preference[i] == assignedFriend) {
return i;
}
}
return 0;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy