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package g1601_1700.s1673_find_the_most_competitive_subsequence;

// #Medium #Array #Greedy #Stack #Monotonic_Stack
// #2022_04_19_Time_7_ms_(96.82%)_Space_54.9_MB_(88.07%)

/**
 * 1673 - Find the Most Competitive Subsequence\.
 *
 * Medium
 *
 * Given an integer array `nums` and a positive integer `k`, return _the most **competitive** subsequence of_ `nums` _of size_ `k`.
 *
 * An array's subsequence is a resulting sequence obtained by erasing some (possibly zero) elements from the array.
 *
 * We define that a subsequence `a` is more **competitive** than a subsequence `b` (of the same length) if in the first position where `a` and `b` differ, subsequence `a` has a number **less** than the corresponding number in `b`. For example, `[1,3,4]` is more competitive than `[1,3,5]` because the first position they differ is at the final number, and `4` is less than `5`.
 *
 * **Example 1:**
 *
 * **Input:** nums = [3,5,2,6], k = 2
 *
 * **Output:** [2,6]
 *
 * **Explanation:** Among the set of every possible subsequence: {[3,5], [3,2], [3,6], [5,2], [5,6], [2,6]}, [2,6] is the most competitive.
 *
 * **Example 2:**
 *
 * **Input:** nums = [2,4,3,3,5,4,9,6], k = 4
 *
 * **Output:** [2,3,3,4]
 *
 * **Constraints:**
 *
 * *   1 <= nums.length <= 105
 * *   0 <= nums[i] <= 109
 * *   `1 <= k <= nums.length`
**/
public class Solution {
    public int[] mostCompetitive(int[] nums, int k) {
        int[] r = new int[k];
        int n = nums.length;
        int j = 0;
        for (int i = 0; i < n; i++) {
            if (i == 0) {
                r[j] = nums[i];
                j++;
            } else {
                int l = j - 1;
                while ((l >= 0) && (nums[i] < r[l]) && ((n - i) >= (k - l))) {
                    l--;
                }
                j = l + 1;
                if (j < k) {
                    r[j] = nums[i];
                    j++;
                }
            }
        }
        return r;
    }
}




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