leecode - 280. Wiggle Sort
Description
Given an integer array nums, reorder it such that nums[0] <= nums[1] >= nums[2] <= nums[3]…
You may assume the input array always has a valid answer.
Example 1:
Input: nums = [3,5,2,1,6,4]
Output: [3,5,1,6,2,4]
Explanation: [1,6,2,5,3,4] is also accepted.
Example 2:
Input: nums = [6,6,5,6,3,8]
Output: [6,6,5,6,3,8]
Constraints:
1 <= nums.length <= 5 * 10^4
0 <= nums[i] <= 104
It is guaranteed that there will be an answer for the given input nums.
Follow up: Could you solve the problem in O(n) time complexity?
Solution
Sort and o ( n log ? n ) o(n\log n) o(nlogn)
Sort the list, and then use smaller half and larger half to re-fill the list. Note we do this in a reverse order, to make sure the largest in smaller is not next to the smallest in larger. Eg: [4, 5, 5, 6]
Time complexity:  
     
      
       
       
         o 
        
       
         ( 
        
       
         n 
        
       
         log 
        
       
         ? 
        
       
         n 
        
       
         ) 
        
       
      
        o(n\log n) 
       
      
    o(nlogn)
 Space complexity:  
     
      
       
       
         o 
        
       
         ( 
        
       
         n 
        
       
         ) 
        
       
      
        o(n) 
       
      
    o(n)
o ( n ) o(n) o(n)
Solved after help.
ref: https://leetcode.com/problems/wiggle-sort/solutions/71693/my-explanations-of-the-best-voted-algo/
The final result would meet these 2 requirements:
- if i is odd, then nums[i] >= nums[i - 1]
- if i is even, then nums[i] <= nums[i - 1]
So we just need to adjust to make sure the list meet these rules.
Suppose we have a wiggled list nums[0:i]
 When i is odd:
- if nums[i] >= nums[i - 1], then we don’t need to do anything.
- if nums[i] < nums[i - 1], then becausenums[i-2] (i-2 is odd) >= nums[i - 1], so we can swapnums[i - 1]withnums[i], this wouldn’t harm the wiggle pattern to the previous list, and at the same time we meet the rules ati
When i is even, it’s similar.
Time complexity:  
     
      
       
       
         o 
        
       
         ( 
        
       
         n 
        
       
         ) 
        
       
      
        o(n) 
       
      
    o(n)
 Space complexity:  
     
      
       
       
         o 
        
       
         ( 
        
       
         1 
        
       
         ) 
        
       
      
        o(1) 
       
      
    o(1)
Code
Sort
class Solution:
    def wiggleSort(self, nums: List[int]) -> None:
        """
        Do not return anything, modify nums in-place instead.
        """
        nums.sort()
        smallers, largers = nums[:(len(nums) + 1) // 2], nums[(len(nums) + 1) // 2:]
        nums[::2], nums[1::2] = smallers[::-1], largers[::-1]
Without sort
class Solution:
    def wiggleSort(self, nums: List[int]) -> None:
        """
        Do not return anything, modify nums in-place instead.
        """
        for i in range(1, len(nums)):
            if i % 2 == 0:
                if nums[i] > nums[i - 1]:
                    nums[i], nums[i - 1] = nums[i - 1], nums[i]
            else:
                if nums[i] < nums[i - 1]:
                    nums[i], nums[i - 1] = nums[i - 1], nums[i]
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