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Given an array consisting of the integers -1, 0 and 1, find the longest slice with a non-negative sum.

Programming language:
Spoken language:

You are given an array A consisting of the integers −1, 0 and 1. A *slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

int solution(int A[], int N);

that, given an array A of length N, consisting only of the values −1, 0, 1, returns the length of the longest slice of A that yields a non-negative sum. If there's no such slice, your function should return 0.

For example, given A = [−1, −1, 1, −1, 1, 0, 1, −1, −1], your function should return 7, as the slice starting at the second position and ending at the eighth is the longest slice with a non-negative sum.

For another example, given A = [1, 1, −1, −1, −1, −1, −1, 1, 1] your function should return 4: both the first four elements and the last four elements of array A are longest valid slices.

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));
- expected worst-case space complexity is O(N) (not counting the storage required for input arguments).

Copyright 2009–2018 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

You are given an array A consisting of the integers −1, 0 and 1. A *slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

int solution(vector<int> &A);

that, given an array A of length N, consisting only of the values −1, 0, 1, returns the length of the longest slice of A that yields a non-negative sum. If there's no such slice, your function should return 0.

For example, given A = [−1, −1, 1, −1, 1, 0, 1, −1, −1], your function should return 7, as the slice starting at the second position and ending at the eighth is the longest slice with a non-negative sum.

For another example, given A = [1, 1, −1, −1, −1, −1, −1, 1, 1] your function should return 4: both the first four elements and the last four elements of array A are longest valid slices.

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));
- expected worst-case space complexity is O(N) (not counting the storage required for input arguments).

Copyright 2009–2018 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

You are given an array A consisting of the integers −1, 0 and 1. A *slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

class Solution { public int solution(int[] A); }

that, given an array A of length N, consisting only of the values −1, 0, 1, returns the length of the longest slice of A that yields a non-negative sum. If there's no such slice, your function should return 0.

For example, given A = [−1, −1, 1, −1, 1, 0, 1, −1, −1], your function should return 7, as the slice starting at the second position and ending at the eighth is the longest slice with a non-negative sum.

For another example, given A = [1, 1, −1, −1, −1, −1, −1, 1, 1] your function should return 4: both the first four elements and the last four elements of array A are longest valid slices.

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));
- expected worst-case space complexity is O(N) (not counting the storage required for input arguments).

Copyright 2009–2018 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

func Solution(A []int) int

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

class Solution { public int solution(int[] A); }

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

function solution(A);

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

function solution(A)

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

int solution(NSMutableArray *A);

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

function solution(A: array of longint; N: longint): longint;

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

function solution($A);

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

sub solution { my (@A)=@_; ... }

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

def solution(A)

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

def solution(a)

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

object Solution { def solution(a: Array[Int]): Int }

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

public func solution(inout A : [Int]) -> Int

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

public func solution(_ A : inout [Int]) -> Int

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

*slice* of that array is any pair of integers (P, Q) such that 0 ≤ P ≤ Q < N. Your task is to find the longest slice of A whose elements yield a non-negative sum.

Write a function:

Private Function solution(A As Integer()) As Integer

Assume that:

- N is an integer within the range [2..100,000];
- each element of array A is an integer within the range [−1..1].

Complexity:

- expected worst-case time complexity is O(N*log(N));

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