25. Reverse Nodes in k-Group

Hard


Given the head of a linked list, reverse the nodes of the list k at a time, and return the modified list.

k is a positive integer and is less than or equal to the length of the linked list. If the number of nodes is not a multiple of k then left-out nodes, in the end, should remain as it is.

You may not alter the values in the list's nodes, only nodes themselves may be changed.

 

Example 1:

Input: head = [1,2,3,4,5], k = 2
Output: [2,1,4,3,5]

Example 2:

Input: head = [1,2,3,4,5], k = 3
Output: [3,2,1,4,5]

 

Constraints:

  • The number of nodes in the list is n.
  • 1 <= k <= n <= 5000
  • 0 <= Node.val <= 1000

 

Follow-up: Can you solve the problem in O(1) extra memory space?





 # Definition for singly-linked list.
# class ListNode:
#     def __init__(self, val=0, next=None):
#         self.val = val
#         self.next = next
class Solution:
    def reverse(self, head, left, right): 
        prev = None
        current = head 

        while left <= right:
            temp = current.next
            current.next = prev 
            prev = current 
            current = temp 
            left+=1

        return prev, head, current

    def reverseKGroup(self, head: Optional[ListNode], k: int) -> Optional[ListNode]:

        if k == 1 or not head:
            return head

        s_head = ListNode(0, head)

        current = s_head
        left, right = 1, 0

        while current.next:
            node = current

            for j in range(k):
                node = node.next
                if not node:
                    break
                right += 1

            if right % k == 0:
                new_head, new_tail, tail_next = self.reverse(current.next, left, right)
                current.next = new_head
                new_tail.next = tail_next
                current = new_tail
                left+=k

            else:
                break



        return s_head.next

Random Note


Need continuous some smaller/larger value? Use heap max or min as you need.