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Leetcode #794: Valid Tic-Tac-Toe State

In this guide, we solve Leetcode #794 Valid Tic-Tac-Toe State 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 a Tic-Tac-Toe board as a string array board, return true if and only if it is possible to reach this board position during the course of a valid tic-tac-toe game. The board is a 3 x 3 array that consists of characters ' ', 'X', and 'O'.

Quick Facts

  • Difficulty: Medium
  • Premium: No
  • Tags: Array, Matrix

Intuition

Grid problems are easiest when you define clear row/column boundaries.

A consistent traversal order prevents off-by-one errors.

Approach

Iterate by rows, columns, or layers depending on the requirement.

Keep bounds updated as the traversal progresses.

Steps:

  • Define bounds or directions.
  • Visit cells in order.
  • Update result and move bounds.

Example

Input: board = ["O "," "," "] Output: false Explanation: The first player always plays "X".

Python Solution

class Solution: def validTicTacToe(self, board: List[str]) -> bool: def win(x): for i in range(3): if all(board[i][j] == x for j in range(3)): return True if all(board[j][i] == x for j in range(3)): return True if all(board[i][i] == x for i in range(3)): return True return all(board[i][2 - i] == x for i in range(3)) x = sum(board[i][j] == 'X' for i in range(3) for j in range(3)) o = sum(board[i][j] == 'O' for i in range(3) for j in range(3)) if x != o and x - 1 != o: return False if win('X') and x - 1 != o: return False return not (win('O') and x != o)

Complexity

The time complexity is O(m·n). The space complexity is O(1) to O(m·n).

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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