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3356. Zero Array Transformation II

Description

You are given an integer array nums of length n and a 2D array queries where queries[i] = [li, ri, vali].

Each queries[i] represents the following action on nums:

  • Decrement the value at each index in the range [li, ri] in nums by at most vali.
  • The amount by which each value is decremented can be chosen independently for each index.

A Zero Array is an array with all its elements equal to 0.

Return the minimum possible non-negative value of k, such that after processing the first k queries in sequence, nums becomes a Zero Array. If no such k exists, return -1.

 

Example 1:

Input: nums = [2,0,2], queries = [[0,2,1],[0,2,1],[1,1,3]]

Output: 2

Explanation:

  • For i = 0 (l = 0, r = 2, val = 1):
    • Decrement values at indices [0, 1, 2] by [1, 0, 1] respectively.
    • The array will become [1, 0, 1].
  • For i = 1 (l = 0, r = 2, val = 1):
    • Decrement values at indices [0, 1, 2] by [1, 0, 1] respectively.
    • The array will become [0, 0, 0], which is a Zero Array. Therefore, the minimum value of k is 2.

Example 2:

Input: nums = [4,3,2,1], queries = [[1,3,2],[0,2,1]]

Output: -1

Explanation:

  • For i = 0 (l = 1, r = 3, val = 2):
    • Decrement values at indices [1, 2, 3] by [2, 2, 1] respectively.
    • The array will become [4, 1, 0, 0].
  • For i = 1 (l = 0, r = 2, val = 1):
    • Decrement values at indices [0, 1, 2] by [1, 1, 0] respectively.
    • The array will become [3, 0, 0, 0], which is not a Zero Array.

 

Constraints:

  • 1 <= nums.length <= 105
  • 0 <= nums[i] <= 5 * 105
  • 1 <= queries.length <= 105
  • queries[i].length == 3
  • 0 <= li <= ri < nums.length
  • 1 <= vali <= 5

Solutions

We notice that the more queries we use, the easier it is to turn the array into a zero array, which shows monotonicity. Therefore, we can use binary search to enumerate the number of queries and check whether the array can be turned into a zero array after the first \(k\) queries.

We define the left boundary \(l\) and right boundary \(r\) for binary search, initially \(l = 0\), \(r = m + 1\), where \(m\) is the number of queries. We define a function \(\text{check}(k)\) to indicate whether the array can be turned into a zero array after the first \(k\) queries. We can use a difference array to maintain the value of each element.

Define an array \(d\) of length \(n + 1\), initialized to all \(0\). For each of the first \(k\) queries \([l, r, val]\), we add \(val\) to \(d[l]\) and subtract \(val\) from \(d[r + 1]\).

Then we iterate through the array \(d\) in the range \([0, n - 1]\), accumulating the prefix sum \(s\). If \(\textit{nums}[i] > s\), it means \(\textit{nums}\) cannot be transformed into a zero array, so we return \(\textit{false}\).

During the binary search, if \(\text{check}(k)\) returns \(\text{true}\), it means the array can be turned into a zero array, so we update the right boundary \(r\) to \(k\); otherwise, we update the left boundary \(l\) to \(k + 1\).

Finally, we check whether \(l > m\). If so, return -1; otherwise, return \(l\).

The time complexity is \(O((n + m) \times \log m)\), and the space complexity is \(O(n)\), where \(n\) and \(m\) are the lengths of the array \(\textit{nums}\) and \(\textit{queries}\), respectively.

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class Solution:
    def minZeroArray(self, nums: List[int], queries: List[List[int]]) -> int:
        def check(k: int) -> bool:
            d = [0] * (len(nums) + 1)
            for l, r, val in queries[:k]:
                d[l] += val
                d[r + 1] -= val
            s = 0
            for x, y in zip(nums, d):
                s += y
                if x > s:
                    return False
            return True

        m = len(queries)
        l = bisect_left(range(m + 1), True, key=check)
        return -1 if l > m else l

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class Solution {
    private int n;
    private int[] nums;
    private int[][] queries;

    public int minZeroArray(int[] nums, int[][] queries) {
        this.nums = nums;
        this.queries = queries;
        n = nums.length;
        int m = queries.length;
        int l = 0, r = m + 1;
        while (l < r) {
            int mid = (l + r) >> 1;
            if (check(mid)) {
                r = mid;
            } else {
                l = mid + 1;
            }
        }
        return l > m ? -1 : l;
    }

    private boolean check(int k) {
        int[] d = new int[n + 1];
        for (int i = 0; i < k; ++i) {
            int l = queries[i][0], r = queries[i][1], val = queries[i][2];
            d[l] += val;
            d[r + 1] -= val;
        }
        for (int i = 0, s = 0; i < n; ++i) {
            s += d[i];
            if (nums[i] > s) {
                return false;
            }
        }
        return true;
    }
}

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class Solution {
public:
    int minZeroArray(vector<int>& nums, vector<vector<int>>& queries) {
        int n = nums.size();
        int d[n + 1];
        int m = queries.size();
        int l = 0, r = m + 1;
        auto check = [&](int k) -> bool {
            memset(d, 0, sizeof(d));
            for (int i = 0; i < k; ++i) {
                int l = queries[i][0], r = queries[i][1], val = queries[i][2];
                d[l] += val;
                d[r + 1] -= val;
            }
            for (int i = 0, s = 0; i < n; ++i) {
                s += d[i];
                if (nums[i] > s) {
                    return false;
                }
            }
            return true;
        };
        while (l < r) {
            int mid = (l + r) >> 1;
            if (check(mid)) {
                r = mid;
            } else {
                l = mid + 1;
            }
        }
        return l > m ? -1 : l;
    }
};

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func minZeroArray(nums []int, queries [][]int) int {
    n, m := len(nums), len(queries)
    l := sort.Search(m+1, func(k int) bool {
        d := make([]int, n+1)
        for _, q := range queries[:k] {
            l, r, val := q[0], q[1], q[2]
            d[l] += val
            d[r+1] -= val
        }
        s := 0
        for i, x := range nums {
            s += d[i]
            if x > s {
                return false
            }
        }
        return true
    })
    if l > m {
        return -1
    }
    return l
}

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function minZeroArray(nums: number[], queries: number[][]): number {
    const [n, m] = [nums.length, queries.length];
    const d: number[] = Array(n + 1);
    let [l, r] = [0, m + 1];
    const check = (k: number): boolean => {
        d.fill(0);
        for (let i = 0; i < k; ++i) {
            const [l, r, val] = queries[i];
            d[l] += val;
            d[r + 1] -= val;
        }
        for (let i = 0, s = 0; i < n; ++i) {
            s += d[i];
            if (nums[i] > s) {
                return false;
            }
        }
        return true;
    };
    while (l < r) {
        const mid = (l + r) >> 1;
        if (check(mid)) {
            r = mid;
        } else {
            l = mid + 1;
        }
    }
    return l > m ? -1 : l;
}

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impl Solution {
    pub fn min_zero_array(nums: Vec<i32>, queries: Vec<Vec<i32>>) -> i32 {
        let n = nums.len();
        let m = queries.len();
        let mut d: Vec<i64> = vec![0; n + 1];
        let (mut l, mut r) = (0_usize, m + 1);

        let check = |k: usize, d: &mut Vec<i64>| -> bool {
            d.fill(0);
            for i in 0..k {
                let (l, r, val) = (
                    queries[i][0] as usize,
                    queries[i][1] as usize,
                    queries[i][2] as i64,
                );
                d[l] += val;
                d[r + 1] -= val;
            }
            let mut s: i64 = 0;
            for i in 0..n {
                s += d[i];
                if nums[i] as i64 > s {
                    return false;
                }
            }
            true
        };

        while l < r {
            let mid = (l + r) >> 1;
            if check(mid, &mut d) {
                r = mid;
            } else {
                l = mid + 1;
            }
        }
        if l > m { -1 } else { l as i32 }
    }
}

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