You are given a 0-indexed integer array nums
of length n
.
nums
contains a valid split at index i
if the following are true:
- The sum of the first
i + 1
elements is greater than or equal to the sum of the lastn - i - 1
elements. - There is at least one element to the right of
i
. That is,0 <= i < n - 1
.
Return the number of valid splits in nums
.
Example 1:
Input: nums = [10,4,-8,7] Output: 2 Explanation: There are three ways of splitting nums into two non-empty parts: - Split nums at index 0. Then, the first part is [10], and its sum is 10. The second part is [4,-8,7], and its sum is 3. Since 10 >= 3, i = 0 is a valid split. - Split nums at index 1. Then, the first part is [10,4], and its sum is 14. The second part is [-8,7], and its sum is -1. Since 14 >= -1, i = 1 is a valid split. - Split nums at index 2. Then, the first part is [10,4,-8], and its sum is 6. The second part is [7], and its sum is 7. Since 6 < 7, i = 2 is not a valid split. Thus, the number of valid splits in nums is 2.
Example 2:
Input: nums = [2,3,1,0] Output: 2 Explanation: There are two valid splits in nums: - Split nums at index 1. Then, the first part is [2,3], and its sum is 5. The second part is [1,0], and its sum is 1. Since 5 >= 1, i = 1 is a valid split. - Split nums at index 2. Then, the first part is [2,3,1], and its sum is 6. The second part is [0], and its sum is 0. Since 6 >= 0, i = 2 is a valid split.
Constraints:
2 <= nums.length <= 105
-105 <= nums[i] <= 105
Approach 01:
-
C++
-
Python
#include <vector> using namespace std; class Solution { public: int waysToSplitArray(vector<int>& nums) { int n = nums.size(); vector<long long> prefixSum(n + 1, 0); // Compute the prefix sum where prefixSum[i] holds the sum of elements from nums[0] to nums[i-1] for (int i = 0; i < n; ++i) { prefixSum[i + 1] = prefixSum[i] + nums[i]; } long long totalSum = prefixSum[n]; long long validSplitCount = 0; // Check each position for a valid split for (int i = 0; i < n - 1; i++) { if (prefixSum[i + 1] >= (totalSum - prefixSum[i + 1])) { ++validSplitCount; } } return validSplitCount; } };
from typing import List class Solution: def waysToSplitArray(self, nums: List[int]) -> int: n = len(nums) prefixSum = [0] * (n + 1) # Compute the prefix sum where prefixSum[i] holds the sum of elements from nums[0] to nums[i-1] for i in range(n): prefixSum[i + 1] = prefixSum[i] + nums[i] totalSum = prefixSum[n] validSplitCount = 0 # Check each position for a valid split for i in range(n - 1): if prefixSum[i + 1] >= (totalSum - prefixSum[i + 1]): validSplitCount += 1 return validSplitCount
Time Complexity:
- Prefix Sum Calculation:
- The prefix sum is calculated by iterating over the array once. This step has a time complexity of \( O(n) \), where \( n \) is the size of the input array nums.
- Valid Split Check:
- The valid split check involves iterating through the array once again (up to \( n – 1 \) positions), which takes \( O(n) \) time.
- Overall Time Complexity:
\( O(n) \), where \( n \) is the size of the input array nums.
Space Complexity:
- Prefix Sum Array:
- The space complexity is dominated by the prefixSum array, which stores cumulative sums and has a size of \( O(n) \).
- Auxiliary Variables:
- The auxiliary variables totalSum and validSplitCount require \( O(1) \) space.
- Overall Space Complexity:
\( O(n) \), due to the space required for the prefix sum array.