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Leetcode #2046: Sort Linked List Already Sorted Using Absolute Values

In this guide, we solve Leetcode #2046 Sort Linked List Already Sorted Using Absolute Values in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

Given the head of a singly linked list that is sorted in non-decreasing order using the absolute values of its nodes, return the list sorted in non-decreasing order using the actual values of its nodes. Example 1: Input: head = [0,2,-5,5,10,-10] Output: [-10,-5,0,2,5,10] Explanation: The list sorted in non-descending order using the absolute values of the nodes is [0,2,-5,5,10,-10].

Quick Facts

  • Difficulty: Medium
  • Premium: Yes
  • Tags: Linked List, Two Pointers, Sorting

Intuition

The constraints hint that we can reason about two ends of the data at once, which is perfect for a two-pointer scan.

Moving one pointer at a time keeps the invariant intact and avoids nested loops.

Approach

Place pointers at the left and right ends and move them based on the comparison or target condition.

This yields a clean linear pass after any required sorting.

Steps:

  • Set left and right pointers.
  • Move a pointer based on the condition.
  • Update the best answer while scanning.

Example

Input: head = [0,2,-5,5,10,-10] Output: [-10,-5,0,2,5,10] Explanation: The list sorted in non-descending order using the absolute values of the nodes is [0,2,-5,5,10,-10]. The list sorted in non-descending order using the actual values is [-10,-5,0,2,5,10].

Python Solution

# Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution: def sortLinkedList(self, head: Optional[ListNode]) -> Optional[ListNode]: prev, curr = head, head.next while curr: if curr.val < 0: t = curr.next prev.next = t curr.next = head head = curr curr = t else: prev, curr = curr, curr.next return head

Complexity

The time complexity is O(n)O(n)O(n), where nnn is the length of the linked list. The space complexity is O(1)O(1)O(1).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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