Description#
A split of an integer array is good if:
- The array is split into three non-empty contiguous subarrays - named
left
, mid
, right
respectively from left to right. - The sum of the elements in
left
is less than or equal to the sum of the elements in mid
, and the sum of the elements in mid
is less than or equal to the sum of the elements in right
.
Given nums
, an array of non-negative integers, return the number of good ways to split nums
. As the number may be too large, return it modulo 109 + 7
.
Example 1:
Input: nums = [1,1,1]
Output: 1
Explanation: The only good way to split nums is [1] [1] [1].
Example 2:
Input: nums = [1,2,2,2,5,0]
Output: 3
Explanation: There are three good ways of splitting nums:
[1] [2] [2,2,5,0]
[1] [2,2] [2,5,0]
[1,2] [2,2] [5,0]
Example 3:
Input: nums = [3,2,1]
Output: 0
Explanation: There is no good way to split nums.
Constraints:
3 <= nums.length <= 105
0 <= nums[i] <= 104
Solutions#
Solution 1: Prefix Sum + Binary Search#
First, we preprocess the prefix sum array $s$ of the array $nums$, where $s[i]$ represents the sum of the first $i+1$ elements of the array $nums$.
Since all elements of the array $nums$ are non-negative integers, the prefix sum array $s$ is a monotonically increasing array.
We enumerate the index $i$ that the left
subarray can reach in the range $[0,..n-2)$, and then use the monotonically increasing characteristic of the prefix sum array to find the reasonable range of the mid
subarray split by binary search, denoted as $[j, k)$, and accumulate the number of schemes $k-j$.
In the binary search details, the subarray split must satisfy $s[j] \geq s[i]$ and $s[n - 1] - s[k] \geq s[k] - s[i]$. That is, $s[j] \geq s[i]$ and $s[k] \leq \frac{s[n - 1] + s[i]}{2}$.
Finally, return the number of schemes modulo $10^9+7$.
The time complexity is $O(n \times \log n)$, where $n$ is the length of the array $nums$.
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| class Solution:
def waysToSplit(self, nums: List[int]) -> int:
mod = 10**9 + 7
s = list(accumulate(nums))
ans, n = 0, len(nums)
for i in range(n - 2):
j = bisect_left(s, s[i] << 1, i + 1, n - 1)
k = bisect_right(s, (s[-1] + s[i]) >> 1, j, n - 1)
ans += k - j
return ans % mod
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| class Solution {
private static final int MOD = (int) 1e9 + 7;
public int waysToSplit(int[] nums) {
int n = nums.length;
int[] s = new int[n];
s[0] = nums[0];
for (int i = 1; i < n; ++i) {
s[i] = s[i - 1] + nums[i];
}
int ans = 0;
for (int i = 0; i < n - 2; ++i) {
int j = search(s, s[i] << 1, i + 1, n - 1);
int k = search(s, ((s[n - 1] + s[i]) >> 1) + 1, j, n - 1);
ans = (ans + k - j) % MOD;
}
return ans;
}
private int search(int[] s, int x, int left, int right) {
while (left < right) {
int mid = (left + right) >> 1;
if (s[mid] >= x) {
right = mid;
} else {
left = mid + 1;
}
}
return left;
}
}
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| class Solution {
public:
const int mod = 1e9 + 7;
int waysToSplit(vector<int>& nums) {
int n = nums.size();
vector<int> s(n, nums[0]);
for (int i = 1; i < n; ++i) s[i] = s[i - 1] + nums[i];
int ans = 0;
for (int i = 0; i < n - 2; ++i) {
int j = lower_bound(s.begin() + i + 1, s.begin() + n - 1, s[i] << 1) - s.begin();
int k = upper_bound(s.begin() + j, s.begin() + n - 1, (s[n - 1] + s[i]) >> 1) - s.begin();
ans = (ans + k - j) % mod;
}
return ans;
}
};
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| func waysToSplit(nums []int) (ans int) {
const mod int = 1e9 + 7
n := len(nums)
s := make([]int, n)
s[0] = nums[0]
for i := 1; i < n; i++ {
s[i] = s[i-1] + nums[i]
}
for i := 0; i < n-2; i++ {
j := sort.Search(n-1, func(h int) bool { return h > i && s[h] >= (s[i]<<1) })
k := sort.Search(n-1, func(h int) bool { return h >= j && s[h] > (s[n-1]+s[i])>>1 })
ans = (ans + k - j) % mod
}
return
}
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| /**
* @param {number[]} nums
* @return {number}
*/
var waysToSplit = function (nums) {
const mod = 1e9 + 7;
const n = nums.length;
const s = new Array(n).fill(nums[0]);
for (let i = 1; i < n; ++i) {
s[i] = s[i - 1] + nums[i];
}
function search(s, x, left, right) {
while (left < right) {
const mid = (left + right) >> 1;
if (s[mid] >= x) {
right = mid;
} else {
left = mid + 1;
}
}
return left;
}
let ans = 0;
for (let i = 0; i < n - 2; ++i) {
const j = search(s, s[i] << 1, i + 1, n - 1);
const k = search(s, ((s[n - 1] + s[i]) >> 1) + 1, j, n - 1);
ans = (ans + k - j) % mod;
}
return ans;
};
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