Skip to content

Latest commit

 

History

History
 
 

1535. Find the Winner of an Array Game

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 

Given an integer array arr of distinct integers and an integer k.

A game will be played between the first two elements of the array (i.e. arr[0] and arr[1]). In each round of the game, we compare arr[0] with arr[1], the larger integer wins and remains at position 0 and the smaller integer moves to the end of the array. The game ends when an integer wins k consecutive rounds.

Return the integer which will win the game.

It is guaranteed that there will be a winner of the game.

 

Example 1:

Input: arr = [2,1,3,5,4,6,7], k = 2
Output: 5
Explanation: Let's see the rounds of the game:
Round |       arr       | winner | win_count
  1   | [2,1,3,5,4,6,7] | 2      | 1
  2   | [2,3,5,4,6,7,1] | 3      | 1
  3   | [3,5,4,6,7,1,2] | 5      | 1
  4   | [5,4,6,7,1,2,3] | 5      | 2
So we can see that 4 rounds will be played and 5 is the winner because it wins 2 consecutive games.

Example 2:

Input: arr = [3,2,1], k = 10
Output: 3
Explanation: 3 will win the first 10 rounds consecutively.

Example 3:

Input: arr = [1,9,8,2,3,7,6,4,5], k = 7
Output: 9

Example 4:

Input: arr = [1,11,22,33,44,55,66,77,88,99], k = 1000000000
Output: 99

 

Constraints:

  • 2 <= arr.length <= 10^5
  • 1 <= arr[i] <= 10^6
  • arr contains distinct integers.
  • 1 <= k <= 10^9

Related Topics:
Array

Solution 1. Queue

Just simulate the process. Because once we visit the maximum number in the array, we'll at most visit the entire array one more time, so the time complexity is O(N).

Note that if we found that one number has beaten other N - 1 numbers already, we don't need to continue the loop and this maximum number must be the result.

Actually just using a queue is enough, but queue doesn't support initialization using queue<int> q(begin(A), end(A)).

// OJ: https://leetcode.com/problems/find-the-winner-of-an-array-game/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(N)
class Solution {
public:
    int getWinner(vector<int>& A, int k) {
        deque<int> q(begin(A), end(A));
        int N = A.size(), x = q.front(), cnt = 0;
        q.pop_front();
        while (cnt < k && cnt < N - 1) {
            int y = q.front();
            q.pop_front();
            if (x > y) {
                ++cnt;
                q.push_back(y);
            } else {
                cnt = 1;
                q.push_back(x);
                x = y;
            }
        }
        return x;
    }
};

Solution 2. Monostack (Next Greater Element)

// OJ: https://leetcode.com/problems/find-the-winner-of-an-array-game/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(N)
class Solution {
public:
    int getWinner(vector<int>& A, int k) {
        int N = A.size();
        if (k >= N - 1) return *max_element(begin(A), end(A));
        vector<int> next(N, -1);
        stack<int> s; // decreasing monostack
        for (int i = 0; i < 2 * N; ++i) {
            while (s.size() && A[s.top() % N] < A[i % N]) {
                next[s.top() % N] = i % N;
                s.pop();
            }
            s.push(i);
        }
        for (int i = 0; i < N; ++i) {
            if (next[i] == -1 || next[i] - i - (i == 0) >= k) return A[i];
        }
        return -1;
    }
};

Solution 3. One pass

One key observation is that after comparing all the elements first pass, we don't need to compare the current winning element from the beginning of the array again because we must meet the greatest element in the first pass which will definitely win the game.

// OJ: https://leetcode.com/problems/find-the-winner-of-an-array-game/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(1)
// Ref: https://leetcode.com/problems/find-the-winner-of-an-array-game/discuss/768007/JavaC%2B%2BPython-One-Pass-O(1)-Space
class Solution {
public:
    int getWinner(vector<int>& A, int k) {
        int cur = A[0], win = 0;
        for (int i = 1; i < A.size(); ++i) {
            if (A[i] > cur) {
                cur = A[i];
                win = 0;
            }
            if (++win == k) break;
        }
        return cur;
    }
};