動機
LIS的進化版
Problem
Given an integer array nums
, find a contiguous non-empty subarray within the array that has the largest product, and return the product.
It is guaranteed that the answer will fit in a 32-bit integer.
A subarray is a contiguous subsequence of the array.
Example 1:
Input: nums = [2,3,-2,4]Output: 6Explanation: [2,3] has the largest product 6.
Example 2:
Input: nums = [-2,0,-1]Output: 0Explanation: The result cannot be 2, because [-2,-1] is not a subarray.
Constraints:
1 <= nums.length <= 2 * 104
-10 <= nums[i] <= 10
- The product of any prefix or suffix of
nums
is guaranteed to fit in a 32-bit integer.
Sol
與原本的LIS很像,但有負數!! 所以要記錄最小的數
class Solution:
def maxProduct(self, nums: List[int]) -> int:
ret = a = b = nums[0]
for n in nums[1:]:
a,b = max(a*n,b*n,n), min(a*n,b*n,n)
ret = max(ret, a, b)
return ret