Description
You are given a binary array nums.
A subarray of an array is good if it contains exactly one element with the value 1.
Return an integer denoting the number of ways to split the array nums into good subarrays. As the number may be too large, return it modulo 109 + 7.
A subarray is a contiguous non-empty sequence of elements within an array.
Example 1:
Input: nums = [0,1,0,0,1] Output: 3 Explanation: There are 3 ways to split nums into good subarrays: - [0,1] [0,0,1] - [0,1,0] [0,1] - [0,1,0,0] [1]
Example 2:
Input: nums = [0,1,0] Output: 1 Explanation: There is 1 way to split nums into good subarrays: - [0,1,0]
Constraints:
1 <= nums.length <= 1050 <= nums[i] <= 1
Solutions
Solution 1: Multiplication Principle
Based on the problem description, we can draw a dividing line between two 1s. Assuming the indices of the two 1s are j and i respectively, then the number of different dividing lines that can be drawn is i - j. We find all the pairs of j and i that meet the condition, and then multiply all the i - j together. If no dividing line can be found between two 1s, it means there are no 1s in the array, and the answer is 0.
The time complexity is O(n), where n is the length of the array. The space complexity is O(1).
class Solution: def numberOfGoodSubarraySplits(self, nums: List[int]) -> int: mod = 10**9 + 7 ans, j = 1, -1 for i, x in enumerate(nums): if x == 0: continue if j > -1: ans = ans * (i - j) % mod j = i return 0 if j == -1 else ans(code-box)
