Maximum Length of Subarray With Positive Product — LeetCode 1567 Python Solution
- Problem
- #1567
- Pattern
- Greedy
- Reading time
- 3 min
- Source
- leetcode.com
The problem
Given an array of integers nums, find the maximum length of a subarray where the product of all its elements is positive. A subarray of an array is a consecutive sequence of zero or more values taken out of that array.
Example
- Input
- nums = [1,-2,-3,4]
- Output
- 4
- Explanation
- The array nums already has a positive product of 24.
Python solution
class Solution:
def getMaxLen(self, nums: List[int]) -> int:
n = len(nums)
f = [0] * n
g = [0] * n
f[0] = int(nums[0] > 0)
g[0] = int(nums[0] < 0)
ans = f[0]
for i in range(1, n):
if nums[i] > 0:
f[i] = f[i - 1] + 1
g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1
elif nums[i] < 0:
f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1
g[i] = f[i - 1] + 1
ans = max(ans, f[i])
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(n) |
| Space | O(n) auxiliary |
Pattern: Greedy
Take the locally best option every time — when you can prove that never costs you later. LeetCode 1567. Maximum Length of Subarray With Positive Product is filed here because LeetCode tags it Greedy, which is the vocabulary this hub collects.
The greedy guide has the Python template for the pattern and the 346 LeetCode problems that use it.
Related problems
Frequently asked questions
- How hard is LeetCode 1567. Maximum Length of Subarray With Positive Product?
- LeetCode 1567. Maximum Length of Subarray With Positive Product is rated Medium on LeetCode.
- What is the time complexity of LeetCode 1567. Maximum Length of Subarray With Positive Product?
- The Python solution on this page runs in O(n).
- What is the space complexity of LeetCode 1567. Maximum Length of Subarray With Positive Product?
- The Python solution on this page uses O(n) auxiliary space.
- What topics does LeetCode 1567. Maximum Length of Subarray With Positive Product cover?
- LeetCode 1567. Maximum Length of Subarray With Positive Product is tagged Greedy, Array and Dynamic Programming on LeetCode.