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Leetcode #657: Robot Return to Origin

In this guide, we solve Leetcode #657 Robot Return to Origin 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

There is a robot starting at the position (0, 0), the origin, on a 2D plane. Given a sequence of its moves, judge if this robot ends up at (0, 0) after it completes its moves.

Quick Facts

  • Difficulty: Easy
  • Premium: No
  • Tags: String, Simulation

Intuition

We need to scan characters while tracking positions or counts.

A simple state machine keeps the logic precise.

Approach

Iterate through the string once and update the state for each character.

Use a map or array if you need fast lookups.

Steps:

  • Iterate through characters.
  • Maintain necessary state.
  • Build or validate the output.

Example

Input: moves = "UD" Output: true Explanation: The robot moves up once, and then down once. All moves have the same magnitude, so it ended up at the origin where it started. Therefore, we return true.

Python Solution

class Solution: def judgeCircle(self, moves: str) -> bool: x = y = 0 for c in moves: match c: case "U": y += 1 case "D": y -= 1 case "L": x -= 1 case "R": x += 1 return x == 0 and y == 0

Complexity

The time complexity is O(n)O(n)O(n), where nnn is the length of the string moves\textit{moves}moves. 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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