Solve LeetCode 19: Remove Nth Node From End of List in Python with a fixed-gap pointers approach. The key is to make the state invariant explicit, so the implementation and complexity follow naturally.
This guide paraphrases the task and does not reproduce LeetCode’s prompt. Use the official page for the complete statement, examples, constraints, and submission runner.
| Difficulty | Medium |
|---|---|
| Topic | Linked List |
| Reusable pattern | fixed-gap pointers |
| Complexity | O(n) time and O(1) extra space |
What the problem is testing
Advance fast n steps from a dummy node, then move fast and slow together until fast reaches the end; slow precedes the target.
Algorithm
- Advance fast n steps from a dummy node, then move fast and slow together until fast reaches the end; slow precedes the target.
- Maintain this invariant: The pointers remain n nodes apart, so the slow pointer stops immediately before the nth node from the end.
- Continue until every input item or reachable state has been resolved, then return the accumulated result.
Python solution
LeetCode provides the list, tree, or graph node definition used by the method.
from collections import Counter, defaultdict, deque, OrderedDict
import random
class Solution:
def removeNthFromEnd(self, head, n):
dummy = ListNode(0, head)
fast = slow = dummy
for _ in range(n):
fast = fast.next
while fast.next:
fast, slow = fast.next, slow.next
slow.next = slow.next.next
return dummy.nextWhy this is correct
The proof follows the maintained state: The pointers remain n nodes apart, so the slow pointer stops immediately before the nth node from the end. Each iteration preserves that claim while permanently resolving at least one position, node, interval, or search state. When the loop or recursion ends, every candidate required by the problem has therefore been included or ruled out, so the returned value is correct.
Complexity
O(n) time and O(1) extra space. The stated auxiliary space excludes the returned output unless the output is the data structure being built.
Edge cases
The dummy node handles removing the original head.
Tested reference code
This implementation is included in the site’s downloadable 100-solution Python library. The complete suite compiles every solution and runs a behavioral assertion for every problem before publication.
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