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Posted on September 29, 2024
I did Search-35. Search Insert Position
Here is question:
Given a sorted array of distinct integers and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order.
You must write an algorithm with O(log n) runtime complexity.
Example 1:
Input: nums = [1,3,5,6], target = 5
Output: 2
Example 2:
Input: nums = [1,3,5,6], target = 2
Output: 1
Example 3:
Input: nums = [1,3,5,6], target = 7
Output: 4
Code:
class Solution(object):
def searchInsert(self, nums, target):
index = 0
for index in range(len(nums)):
if nums[index] == target:
return index
elif nums[index] > target:
return index
return len((nums))
My thought:
I use range(len(nums)) to iterate all numbers in nums. Check if there is the same number. Meanwhile, I will check if nums[index] > target. If this is True, which means the nums does not have the same number as target. So it will return the index, which is the exact position for insertion. Otherwise, return the length of the nums.
Feel free to leave questions!!!
Please let me know where can find good solutions for Python (Leetcode)
Posted on September 29, 2024
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