674. Longest Continuous Increasing Subsequence

本文探讨了如何在未排序整数数组中寻找最长连续递增子序列的问题,并提供了Java和Python两种语言的实现方案。文章通过具体示例说明了解决方案的有效性和正确性。

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

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.

数组的问题,一般应该时刻考虑着是否存在越界问题

java

class Solution {
    public int findLengthOfLCIS(int[] nums) {
        if (nums == null || nums.length == 0) {
            return 0;
        }
        if (nums.length == 1) {
            return 1;
        }
        int sum = 0;
        for (int i = 1; i < nums.length; i++) {
            int val = 1;
            while (i < nums.length && nums[i] > nums[i - 1]) {
                i++;
                val++;
            }
            sum = Math.max(sum, val);
        }
        return sum;
    }
}

python

class Solution(object):
    def findLengthOfLCIS(self, nums):
        """
        :type nums: List[int]
        :rtype: int
        """
        if nums is None or len(nums) == 0:
            return 0
        if len(nums) == 1:
            return 1
        summary = 0
        for i in range(1, len(nums)):
            val = 1
            while (i < len(nums) and nums[i] > nums[i - 1]):
                val += 1
                i += 1
            summary = max(val, summary)
        return summary
        


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