Approach
Sorting and greedy selection
For Minimum Cost to Make Array Equalindromic, the implementation first exposes a useful order, then scans that order while making locally justified choices.
- Choose the key that reveals the greedy or grouping structure.
- Sort the relevant records by that key.
- Scan in order, maintaining the invariant that makes each local choice safe.
Code notes
- 23 lines of Python from the credited upstream file 2967.py.
- The implementation visibly relies on sequence storage.
- No explicit loop blocks detected.
Complexity
Sorting is typically the dominant term unless the subsequent scan uses a more expensive nested operation.
Check the problem constraints before deciding whether this complexity will pass.
Use this to learn the idea, then write your own version.
1class Solution:2 def minimumCost(self, nums: list[int]) -> int:3 nums.sort()4 median = nums[len(nums) 2]5 nextPalindrome = self._getPalindrome(median, delta=1)6 prevPalindrome = self._getPalindrome(median, delta=-1)7 return min(self._cost(nums, nextPalindrome),8 self._cost(nums, prevPalindrome))9 10 def _cost(self, nums: list[int], palindrome: int) -> int:11 """Returns the cost to change all the numbers to `palindrome`."""12 return sum(abs(palindrome - num) for num in nums)13 14 def _getPalindrome(self, num: int, delta: int) -> int:15 """Returns the palindrome `p`, where p = num + a * delta and a > 0."""16 while not self._isPalindrome(num):17 num += delta18 return num19 20 def _isPalindrome(self, num: int) -> int:21 original = str(num)22 return original == original[::-1]23