Given an unsorted array of integers nums, return the length of the longest continuous increasing subsequence (i.e. subarray). The subsequence must be strictly increasing.

A continuous increasing subsequence is defined by two indices l and r (l < r) such that it is [nums[l], nums[l + 1], …, nums[r – 1], nums[r]] and for each l <= i < r, nums[i] < nums[i + 1].

Example 1:
Input: nums = [1,3,5,4,7]
Output: 3
Explanation: The longest continuous increasing subsequence is [1,3,5] with length 3.
Even though [1,3,5,7] is an increasing subsequence, it is not continuous as elements 5 and 7 are separated by element
4.

Example 2:
Input: nums = [2,2,2,2,2]
Output: 1
Explanation: The longest continuous increasing subsequence is [2] with length 1. Note that it must be strictly
increasing.

Constraints:

  • 0 <= nums.length <= 10^4
  • -10^9 <= nums[i] <= 10^9

Solution in python:

class Solution:
    def findLengthOfLCIS(self, nums: List[int]) -> int:
        i = 0
        count = 0
        max_len = 0
        prior = float('-inf')
        while i < len(nums):
            if prior < nums[i]:
                prior = nums[i]
                i += 1
                count += 1
                if count > max_len:
                    max_len = count
            else:
                count = 1
                prior = nums[i]
                i += 1
        return max_len
最后修改日期: 2021年2月4日

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