674. Longest Continuous Increasing Subsequence -- Python

本文介绍了一种求解最长连续递增子序列的方法。通过遍历数组并使用计数器记录递增序列长度,最终找出最长递增子序列的长度。文章提供了具体的Python实现代码。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

674. Longest Continuous Increasing Subsequence

Given an unsorted array of integers, find the length of longest continuous increasing subsequence (subarray).

Example 1:

Input: [1,3,5,4,7]
Output: 3
Explanation: The longest continuous increasing subsequence is [1,3,5], its length is 3. 
Even though [1,3,5,7] is also an increasing subsequence, it's not a continuous one where 5 and 7 are separated by 4. 

Example 2:

Input: [2,2,2,2,2]
Output: 1
Explanation: The longest continuous increasing subsequence is [2], its length is 1. 

Note: Length of the array will not exceed 10,000.

思路:
直接遍历数组,如果后面的大于前面的计数器就加一,然后再新建一个列表存储这些数值,最后输出最大值就行了,要注意的就是特殊情况,空列表或者只含一个元素的列表。

我的代码:

class Solution:
    def findLengthOfLCIS(self, nums):
        """
        :type nums: List[int]
        :rtype: int
        """
        counter = 1
        L = []
        if len(nums)>=2:
            for i in range(0,len(nums)-1):
                if nums[i+1]>nums[i]:
                    counter+=1
                else:
                    counter=1
                L.append(counter)
            return max(L)
        elif len(nums)==1:
            return 1
        else:
            return 0
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值