捉闹党臃1. 创建 Blazor web工程,选Auto
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2. 打开 GitHub Copilot 窗口,输入提示词
使用 Blazor 编一个五子棋游戏
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3.复制代码测试
为了方便调试, 我们先把运行模式由 InteractiveAuto 改为 InteractiveServer
打开 App.razor 编辑 两行 @rendermode="InteractiveAuto" 改为 @rendermode="InteractiveServer"
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4.不出意外, 代码出现了意外
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无脑使用AI修复一下
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结果发现不是这个问题. 是逻辑代码 @onclick="() => PlacePiece(x, y)" 问题. 原因是PlacePiece闭包捕获的 x、y 是当前循环的值
既然人工发现了问题, 我们继续提醒一下AI, 尝试修复
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最后还是没修复成功, 手动处理一下
@page "/"
五子棋
五子棋游戏
当前玩家: @(currentPlayer == 1 ? "黑子" : "白子")
@if (winner != 0)
{
胜者: @(winner == 1 ? "黑子" : "白子")
}
@for (int y = 0; y < BoardSize; y++)
{
@for (int x = 0; x < BoardSize; x++)
{
int _x = x;
int _y = y;
|
@onclick="@(() => PlacePiece(_x, _y))"> @if (board[x, y] == 1) { ● } else if (board[x, y] == 2) { ● }
|
}
}
@code {
const int BoardSize = 15;
int[,] board = new int[BoardSize, BoardSize];
int currentPlayer = 1; // 1: 黑子, 2: 白子
int winner = 0;
void PlacePiece(int x, int y)
{
// 修复：增加边界检查，防止越界
if (x < 0 || x >= BoardSize || y < 0 || y >= BoardSize)
return;
if (winner != 0 || board[x, y] != 0)
return;
board[x, y] = currentPlayer;
if (CheckWin(x, y, currentPlayer))
{
winner = currentPlayer;
}
else
{
currentPlayer = 3 - currentPlayer; // 切换玩家
}
}
bool CheckWin(int x, int y, int player)
{
int[][] directions = new int[][]
{
new int[]{1,0}, // 横
new int[]{0,1}, // 竖
new int[]{1,1}, // 斜
new int[]{1,-1} // 反斜
};
foreach (var dir in directions)
{
int count = 1;
count += CountDirection(x, y, dir[0], dir[1], player);
count += CountDirection(x, y, -dir[0], -dir[1], player);
if (count >= 5)
return true;
}
return false;
}
int CountDirection(int x, int y, int dx, int dy, int player)
{
int count = 0;
for (int step = 1; step < 5; step++)
{
int nx = x + dx * step;
int ny = y + dy * step;
if (nx < 0 || nx >= BoardSize || ny < 0 || ny >= BoardSize)
break;
if (board[nx, ny] == player)
count++;
else
break;
}
return count;
}
void Restart()
{
board = new int[BoardSize, BoardSize];
currentPlayer = 1;
winner = 0;
}
string GetCellBg(int x, int y)
{
return (x + y) % 2 == 0 ? "#f9d77e" : "#eac066";
}
}
说明：
添加 int _x = x; int _y = y; 确保闭包捕获的 _x、_y 是当前循环的值，避免 Blazor 渲染时闭包变量引用错误。
在 PlacePiece 方法开头增加边界检查，防止非法坐标导致数组越界异常。
这样可以彻底修复 PlacePiece 拿到的变量不正确和越界的问题。
5. 运行效果
image
6. 加入显示当前玩家的得分功能
你可以为每个玩家增加一个分数变量，每次有玩家获胜时将其分数加一，并在界面上显示。下面是具体实现方法：
在 @code 区域添加分数字段：
int blackScore = 0;
int whiteScore = 0;
在玩家获胜时更新分数：
void PlacePiece(int x, int y)
{
if (x < 0 || x >= BoardSize || y < 0 || y >= BoardSize)
return;
if (winner != 0 || board[x, y] != 0)
return;
board[x, y] = currentPlayer;
if (CheckWin(x, y, currentPlayer))
{
winner = currentPlayer;
if (winner == 1)
blackScore++;
else if (winner == 2)
whiteScore++;
}
else
{
currentPlayer = 3 - currentPlayer; // 切换玩家
}
}
在页面上显示分数（比如在标题下方）：
当前玩家: @(currentPlayer == 1 ? "黑子" : "白子")
黑子得分: @blackScore
白子得分: @whiteScore
@if (winner != 0)
{
胜者: @(winner == 1 ? "黑子" : "白子")
}
这样每次有玩家获胜时，分数都会自动更新并显示在页面上。
image
7. 加入重置得分功能
你可以在 Restart 方法中增加对分数的重置，或者单独添加一个“重置得分”按钮和方法。推荐做法如下：
添加重置得分方法：
void ResetScore()
{
blackScore = 0;
whiteScore = 0;
}
在页面上添加按钮：
建议将此按钮放在分数显示附近，例如：
当前玩家: @(currentPlayer == 1 ? "黑子" : "白子")
黑子得分: @blackScore
白子得分: @whiteScore
@if (winner != 0)
{
胜者: @(winner == 1 ? "黑子" : "白子")
}
这样点击“重置得分”按钮即可将分数清零。
8. 在这个五子棋游戏中添加 AI 对手功能
在你的 Blazor 五子棋游戏中添加 AI 对手功能，常见做法是让一方（如白子）由 AI 自动落子。实现思路如下：
判断当前玩家是否为 AI：如 currentPlayer == 2 时，自动调用 AI 落子逻辑。
实现 AI 落子算法：可以先用简单的随机落子，后续可扩展为更智能的算法。
在玩家落子后自动触发 AI 落子：用 StateHasChanged() 刷新界面，必要时用 await Task.Delay() 增加落子延迟。
下面是具体实现方法（以白子为 AI）：
@page "/"
五子棋
五子棋游戏
当前玩家: @(currentPlayer == 1 ? "黑子" : "白子(电脑)")
黑子得分: @blackScore
白子得分: @whiteScore
@if (winner != 0)
{
胜者: @(winner == 1 ? "黑子" : "白子(电脑)")
}
@for (int y = 0; y < BoardSize; y++)
{
@for (int x = 0; x < BoardSize; x++)
{
int _x = x;
int _y = y;
|
@onclick="@(() => PlacePiece(_x, _y))"> @if (board[x, y] == 1) { ● } else if (board[x, y] == 2) { ● }
|
}
}
@code {
const int BoardSize = 15;
int[,] board = new int[BoardSize, BoardSize];
int currentPlayer = 1; // 1: 黑子, 2: 白子(电脑)
int winner = 0;
int blackScore = 0;
int whiteScore = 0;
Random rand = new();
void PlacePiece(int x, int y)
{
if (winner != 0 || board[x, y] != 0 || currentPlayer == 2)
return;
board[x, y] = currentPlayer;
if (CheckWin(x, y, currentPlayer))
{
winner = currentPlayer;
if (winner == 1)
blackScore++;
else if (winner == 2)
whiteScore++;
}
else
{
currentPlayer = 2;
StateHasChanged();
_ = AITurnAsync();
}
}
async Task AITurnAsync()
{
await Task.Delay(500); // AI 落子延迟
if (winner != 0) return;
// 简单随机落子
var empty = new List<(int x, int y)>();
for (int i = 0; i < BoardSize; i++)
for (int j = 0; j < BoardSize; j++)
if (board[i, j] == 0)
empty.Add((i, j));
if (empty.Count == 0) return;
var (aiX, aiY) = empty[rand.Next(empty.Count)];
board[aiX, aiY] = 2;
if (CheckWin(aiX, aiY, 2))
{
winner = 2;
whiteScore++;
}
else
{
currentPlayer = 1;
}
StateHasChanged();
}
// 其余代码不变...
bool CheckWin(int x, int y, int player)
{
int[][] directions = new int[][]
{
new int[]{1,0}, new int[]{0,1}, new int[]{1,1}, new int[]{1,-1}
};
foreach (var dir in directions)
{
int count = 1;
count += CountDirection(x, y, dir[0], dir[1], player);
count += CountDirection(x, y, -dir[0], -dir[1], player);
if (count >= 5)
return true;
}
return false;
}
int CountDirection(int x, int y, int dx, int dy, int player)
{
int count = 0;
for (int step = 1; step < 5; step++)
{
int nx = x + dx * step;
int ny = y + dy * step;
if (nx < 0 || nx >= BoardSize || ny < 0 || ny >= BoardSize)
break;
if (board[nx, ny] == player)
count++;
else
break;
}
return count;
}
void Restart()
{
board = new int[BoardSize, BoardSize];
currentPlayer = 1;
winner = 0;
}
void ResetScore()
{
blackScore = 0;
whiteScore = 0;
}
string GetCellBg(int x, int y)
{
return (x + y) % 2 == 0 ? "#f9d77e" : "#eac066";
}
}
要点说明：
玩家（黑子）落子后自动触发 AI（白子）落子。
AI 采用随机空位落子，简单易懂，后续可扩展为更智能算法。
若要让 AI 先手，只需将 currentPlayer = 2 并在 OnInitialized 或 Restart 时调用 AITurnAsync()。
image
用是能用了, 就是这个AI太傻了,继续优化一下
要优化五子棋 AI 的落子策略，可以采用“优先级评分法”来提升难度。基本思路如下：
优先考虑能直接获胜的位置（如 AI 连成五子）。
阻止玩家获胜（如玩家有四连，AI 必须堵住）。
优先进攻（如自己有三连、二连）。
其次防守（如玩家有三连、二连）。
否则随机或选择评分最高的位置。
下面是一个简单的评分法实现，AI 会优先选择能赢、能防守、能进攻的位置：
async Task AITurnAsync()
{
await Task.Delay(500);
if (winner != 0) return;
var (aiX, aiY) = FindBestMove();
board[aiX, aiY] = 2;
if (CheckWin(aiX, aiY, 2))
{
winner = 2;
whiteScore++;
}
else
{
currentPlayer = 1;
}
StateHasChanged();
}
// 简单评分法：优先赢棋、阻挡对方、进攻
(int, int) FindBestMove()
{
int maxScore = int.MinValue;
var bestMoves = new List<(int x, int y)>();
for (int x = 0; x < BoardSize; x++)
{
for (int y = 0; y < BoardSize; y++)
{
if (board[x, y] != 0) continue;
int score = EvaluatePoint(x, y, 2); // AI进攻
score = Math.Max(score, EvaluatePoint(x, y, 1)); // 防守
if (score > maxScore)
{
maxScore = score;
bestMoves.Clear();
bestMoves.Add((x, y));
}
else if (score == maxScore)
{
bestMoves.Add((x, y));
}
}
}
// 多个最佳点时随机选一个
return bestMoves[rand.Next(bestMoves.Count)];
}
// 评分函数：可根据实际需要调整权重
int EvaluatePoint(int x, int y, int player)
{
int score = 0;
int opponent = player == 1 ? 2 : 1;
// 检查4连、3连、2连等
foreach (var dir in new[] { (1, 0), (0, 1), (1, 1), (1, -1) })
{
int count = 1 + CountDirection(x, y, dir.Item1, dir.Item2, player)
+ CountDirection(x, y, -dir.Item1, -dir.Item2, player);
if (count >= 5) score += 10000; // 直接获胜
else if (count == 4) score += 1000;
else if (count == 3) score += 100;
else if (count == 2) score += 10;
// 防守分数
int oppCount = 1 + CountDirection(x, y, dir.Item1, dir.Item2, opponent)
+ CountDirection(x, y, -dir.Item1, -dir.Item2, opponent);
if (oppCount >= 5) score += 9000; // 必须防守
else if (oppCount == 4) score += 900;
else if (oppCount == 3) score += 90;
else if (oppCount == 2) score += 9;
}
return score;
}
集成方法：
替换你的 AITurnAsync 方法为上述实现。
在 @code 区域添加 FindBestMove 和 EvaluatePoint 方法。
可根据实际效果调整评分权重。
效果说明：
AI 会优先选择能赢的位置，其次堵住玩家的四连，再考虑进攻和防守三连、二连。
这种评分法简单高效，能显著提升 AI 难度。
若需更高难度，可进一步实现“活三”、“活四”识别、双向评分、甚至 Minimax 算法。
image
9. 添加难度切换按钮
添加三个难度选择按钮以及切换人机按钮
下面是实现“三个难度选择按钮（简单、中等、困难）”和“人机/人人切换按钮”的完整方法。
难度通过调整 AI 的评分权重实现，人机切换通过 isHumanVsAI 控制。请直接替换你的 Home.razor 文件内容：
@page "/"
五子棋
五子棋游戏
难度：
模式：
当前玩家: @(currentPlayer == 1 ? "黑子" : (isHumanVsAI ? "白子(电脑)" : "白子"))
黑子得分: @blackScore
白子得分: @whiteScore
@if (winner != 0)
{
胜者: @(winner == 1 ? "黑子" : (isHumanVsAI ? "白子(电脑)" : "白子"))
}
@for (int y = 0; y < BoardSize; y++)
{
@for (int x = 0; x < BoardSize; x++)
{
int _x = x;
int _y = y;
|
@onclick="@(() => PlacePiece(_x, _y))"> @if (board[x, y] == 1) { ● } else if (board[x, y] == 2) { ● }
|
}
}
@code {
const int BoardSize = 15;
int[,] board = new int[BoardSize, BoardSize];
int currentPlayer = 1; // 1: 黑子, 2: 白子(电脑/玩家)
int winner = 0;
int blackScore = 0;
int whiteScore = 0;
Random rand = new();
bool isHumanVsAI = true;
int aiLevel = 1; // 0:简单 1:中等 2:困难
void PlacePiece(int x, int y)
{
if (winner != 0 || board[x, y] != 0)
return;
// 人机模式下，只有当前为玩家时可落子
if (isHumanVsAI && currentPlayer == 2)
return;
board[x, y] = currentPlayer;
if (CheckWin(x, y, currentPlayer))
{
winner = currentPlayer;
if (winner == 1)
blackScore++;
else if (winner == 2)
whiteScore++;
}
else
{
currentPlayer = 3 - currentPlayer;
if (isHumanVsAI && currentPlayer == 2 && winner == 0)
{
StateHasChanged();
_ = AITurnAsync();
}
}
}
async Task AITurnAsync()
{
await Task.Delay(500);
if (winner != 0) return;
var (aiX, aiY) = FindBestMove();
board[aiX, aiY] = 2;
if (CheckWin(aiX, aiY, 2))
{
winner = 2;
whiteScore++;
}
else
{
currentPlayer = 1;
}
StateHasChanged();
}
(int, int) FindBestMove()
{
if (aiLevel == 0)
{
// 简单：随机落子
var empty = new List<(int x, int y)>();
for (int i = 0; i < BoardSize; i++)
for (int j = 0; j < BoardSize; j++)
if (board[i, j] == 0)
empty.Add((i, j));
return empty[rand.Next(empty.Count)];
}
else
{
// 中等/困难：评分法
int maxScore = int.MinValue;
var bestMoves = new List<(int x, int y)>();
for (int x = 0; x < BoardSize; x++)
{
for (int y = 0; y < BoardSize; y++)
{
if (board[x, y] != 0) continue;
int score = EvaluatePoint(x, y, 2);
score = Math.Max(score, EvaluatePoint(x, y, 1));
if (score > maxScore)
{
maxScore = score;
bestMoves.Clear();
bestMoves.Add((x, y));
}
else if (score == maxScore)
{
bestMoves.Add((x, y));
}
}
}
return bestMoves[rand.Next(bestMoves.Count)];
}
}
int EvaluatePoint(int x, int y, int player)
{
int score = 0;
int opponent = player == 1 ? 2 : 1;
// 不同难度权重
int[] winWeight = { 100, 10000, 10000 };
int[] fourWeight = { 10, 1000, 3000 };
int[] threeWeight = { 5, 100, 500 };
int[] twoWeight = { 2, 10, 50 };
int[] blockWinWeight = { 90, 9000, 9000 };
int[] blockFourWeight = { 9, 900, 2500 };
int[] blockThreeWeight = { 4, 90, 400 };
int[] blockTwoWeight = { 1, 9, 40 };
foreach (var dir in new[] { (1, 0), (0, 1), (1, 1), (1, -1) })
{
int count = 1 + CountDirection(x, y, dir.Item1, dir.Item2, player)
+ CountDirection(x, y, -dir.Item1, -dir.Item2, player);
if (count >= 5) score += winWeight[aiLevel];
else if (count == 4) score += fourWeight[aiLevel];
else if (count == 3) score += threeWeight[aiLevel];
else if (count == 2) score += twoWeight[aiLevel];
int oppCount = 1 + CountDirection(x, y, dir.Item1, dir.Item2, opponent)
+ CountDirection(x, y, -dir.Item1, -dir.Item2, opponent);
if (oppCount >= 5) score += blockWinWeight[aiLevel];
else if (oppCount == 4) score += blockFourWeight[aiLevel];
else if (oppCount == 3) score += blockThreeWeight[aiLevel];
else if (oppCount == 2) score += blockTwoWeight[aiLevel];
}
return score;
}
bool CheckWin(int x, int y, int player)
{
int[][] directions = new int[][]
{
new int[]{1,0}, new int[]{0,1}, new int[]{1,1}, new int[]{1,-1}
};
foreach (var dir in directions)
{
int count = 1;
count += CountDirection(x, y, dir[0], dir[1], player);
count += CountDirection(x, y, -dir[0], -dir[1], player);
if (count >= 5)
return true;
}
return false;
}
int CountDirection(int x, int y, int dx, int dy, int player)
{
int count = 0;
for (int step = 1; step < 5; step++)
{
int nx = x + dx * step;
int ny = y + dy * step;
if (nx < 0 || nx >= BoardSize || ny < 0 || ny >= BoardSize)
break;
if (board[nx, ny] == player)
count++;
else
break;
}
return count;
}
void Restart()
{
board = new int[BoardSize, BoardSize];
currentPlayer = 1;
winner = 0;
if (isHumanVsAI && currentPlayer == 2)
{
_ = AITurnAsync();
}
}
void ResetScore()
{
blackScore = 0;
whiteScore = 0;
}
void SetAILevel(int level)
{
aiLevel = level;
Restart();
}
void ToggleMode()
{
isHumanVsAI = !isHumanVsAI;
Restart();
}
string GetCellBg(int x, int y)
{
return (x + y) % 2 == 0 ? "#f9d77e" : "#eac066";
}
}
说明：
“简单”AI为随机落子，“中等/困难”AI为评分法，困难权重更高更难。
“人机对战”时白子为AI，“人人对战”时双方均为玩家。
切换难度或模式会自动重开棋局。
你可以根据需要调整权重数组以微调难度。
10. 最后贴上完整代码
@page "/"
五子棋
五子棋游戏
难度：
模式：
当前玩家: @(currentPlayer == 1 ? "黑子" : (isHumanVsAI ? "白子(电脑)" : "白子"))
黑子得分: @blackScore
白子得分: @whiteScore
@if (winner != 0)
{
胜者: @(winner == 1 ? "黑子" : (isHumanVsAI ? "白子(电脑)" : "白子"))
}
@for (int y = 0; y < BoardSize; y++)
{
@for (int x = 0; x < BoardSize; x++)
{
int _x = x;
int _y = y;
|
@onclick="@(() => PlacePiece(_x, _y))"> @if (board[x, y] == 1) { ● } else if (board[x, y] == 2) { ● }
|
}
}
@code {
const int BoardSize = 15;
int[,] board = new int[BoardSize, BoardSize];
int currentPlayer = 1; // 1: 黑子, 2: 白子(电脑/玩家)
int winner = 0;
int blackScore = 0;
int whiteScore = 0;
Random rand = new();
bool isHumanVsAI = true;
int aiLevel = 1; // 0:简单 1:中等 2:困难
void PlacePiece(int x, int y)
{
if (winner != 0 || board[x, y] != 0)
return;
// 人机模式下，只有当前为玩家时可落子
if (isHumanVsAI && currentPlayer == 2)
return;
board[x, y] = currentPlayer;
if (CheckWin(x, y, currentPlayer))
{
winner = currentPlayer;
if (winner == 1)
blackScore++;
else if (winner == 2)
whiteScore++;
}
else
{
currentPlayer = 3 - currentPlayer;
if (isHumanVsAI && currentPlayer == 2 && winner == 0)
{
StateHasChanged();
_ = AITurnAsync();
}
}
}
async Task AITurnAsync()
{
await Task.Delay(500);
if (winner != 0) return;
var (aiX, aiY) = FindBestMove();
board[aiX, aiY] = 2;
if (CheckWin(aiX, aiY, 2))
{
winner = 2;
whiteScore++;
}
else
{
currentPlayer = 1;
}
StateHasChanged();
}
(int, int) FindBestMove()
{
if (aiLevel == 0)
{
// 简单：随机落子
var empty = new List<(int x, int y)>();
for (int i = 0; i < BoardSize; i++)
for (int j = 0; j < BoardSize; j++)
if (board[i, j] == 0)
empty.Add((i, j));
return empty[rand.Next(empty.Count)];
}
else
{
// 中等/困难：评分法
int maxScore = int.MinValue;
var bestMoves = new List<(int x, int y)>();
for (int x = 0; x < BoardSize; x++)
{
for (int y = 0; y < BoardSize; y++)
{
if (board[x, y] != 0) continue;
int score = EvaluatePoint(x, y, 2);
score = Math.Max(score, EvaluatePoint(x, y, 1));
if (score > maxScore)
{
maxScore = score;
bestMoves.Clear();
bestMoves.Add((x, y));
}
else if (score == maxScore)
{
bestMoves.Add((x, y));
}
}
}
return bestMoves[rand.Next(bestMoves.Count)];
}
}
int EvaluatePoint(int x, int y, int player)
{
int score = 0;
int opponent = player == 1 ? 2 : 1;
// 不同难度权重
int[] winWeight = { 100, 10000, 10000 };
int[] fourWeight = { 10, 1000, 3000 };
int[] threeWeight = { 5, 100, 500 };
int[] twoWeight = { 2, 10, 50 };
int[] blockWinWeight = { 90, 9000, 9000 };
int[] blockFourWeight = { 9, 900, 2500 };
int[] blockThreeWeight = { 4, 90, 400 };
int[] blockTwoWeight = { 1, 9, 40 };
foreach (var dir in new[] { (1, 0), (0, 1), (1, 1), (1, -1) })
{
int count = 1 + CountDirection(x, y, dir.Item1, dir.Item2, player)
+ CountDirection(x, y, -dir.Item1, -dir.Item2, player);
if (count >= 5) score += winWeight[aiLevel];
else if (count == 4) score += fourWeight[aiLevel];
else if (count == 3) score += threeWeight[aiLevel];
else if (count == 2) score += twoWeight[aiLevel];
int oppCount = 1 + CountDirection(x, y, dir.Item1, dir.Item2, opponent)
+ CountDirection(x, y, -dir.Item1, -dir.Item2, opponent);
if (oppCount >= 5) score += blockWinWeight[aiLevel];
else if (oppCount == 4) score += blockFourWeight[aiLevel];
else if (oppCount == 3) score += blockThreeWeight[aiLevel];
else if (oppCount == 2) score += blockTwoWeight[aiLevel];
}
return score;
}
bool CheckWin(int x, int y, int player)
{
int[][] directions = new int[][]
{
new int[]{1,0}, new int[]{0,1}, new int[]{1,1}, new int[]{1,-1}
};
foreach (var dir in directions)
{
int count = 1;
count += CountDirection(x, y, dir[0], dir[1], player);
count += CountDirection(x, y, -dir[0], -dir[1], player);
if (count >= 5)
return true;
}
return false;
}
int CountDirection(int x, int y, int dx, int dy, int player)
{
int count = 0;
for (int step = 1; step < 5; step++)
{
int nx = x + dx * step;
int ny = y + dy * step;
if (nx < 0 || nx >= BoardSize || ny < 0 || ny >= BoardSize)
break;
if (board[nx, ny] == player)
count++;
else
break;
}
return count;
}
void Restart()
{
board = new int[BoardSize, BoardSize];
currentPlayer = 1;
winner = 0;
if (isHumanVsAI && currentPlayer == 2)
{
_ = AITurnAsync();
}
}
void ResetScore()
{
blackScore = 0;
whiteScore = 0;
}
void SetAILevel(int level)
{
aiLevel = level;
Restart();
}
void ToggleMode()
{
isHumanVsAI = !isHumanVsAI;
Restart();
}
string GetCellBg(int x, int y)
{
return (x + y) % 2 == 0 ? "#f9d77e" : "#eac066";
}
}
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