使用pygame实现基于A*算法的五子棋
时间: 2023-12-04 12:06:20 浏览: 108
好的,下面是使用pygame实现基于A*算法的五子棋的步骤:
1. 确定游戏界面大小和棋盘大小,并初始化pygame窗口。
2. 创建一个棋盘类来表示游戏棋盘,包括棋盘大小、落子情况等属性和方法。
3. 创建一个AI类来实现A*算法,寻找最优解决方案。
4. 定义游戏主循环,包括玩家落子、AI落子、判断胜负等操作。
5. 实现鼠标点击事件和键盘事件,让玩家可以进行操作。
6. 在窗口中绘制游戏棋盘和棋子。
7. 在游戏结束时,显示胜利方并提供重新开始游戏的选项。
下面是示例代码:
```python
import pygame
from queue import PriorityQueue
# 定义棋盘大小和格子大小
BOARD_SIZE = 15
GRID_SIZE = 40
# 定义棋子类型
EMPTY = 0
BLACK = 1
WHITE = 2
# 定义颜色
BLACK_COLOR = (0, 0, 0)
WHITE_COLOR = (255, 255, 255)
GREY_COLOR = (150, 150, 150)
class Board:
def __init__(self):
self.board = [[EMPTY] * BOARD_SIZE for _ in range(BOARD_SIZE)]
self.turn = BLACK
def get_legal_moves(self):
legal_moves = []
for i in range(BOARD_SIZE):
for j in range(BOARD_SIZE):
if self.board[i][j] == EMPTY:
legal_moves.append((i, j))
return legal_moves
def get_winner(self):
# 判断横向是否连5个
for i in range(BOARD_SIZE):
for j in range(BOARD_SIZE - 4):
if self.board[i][j] == self.board[i][j+1] == self.board[i][j+2] == self.board[i][j+3] == self.board[i][j+4] and self.board[i][j] != EMPTY:
return self.board[i][j]
# 判断纵向是否连5个
for i in range(BOARD_SIZE - 4):
for j in range(BOARD_SIZE):
if self.board[i][j] == self.board[i+1][j] == self.board[i+2][j] == self.board[i+3][j] == self.board[i+4][j] and self.board[i][j] != EMPTY:
return self.board[i][j]
# 判断左上到右下是否连5个
for i in range(BOARD_SIZE - 4):
for j in range(BOARD_SIZE - 4):
if self.board[i][j] == self.board[i+1][j+1] == self.board[i+2][j+2] == self.board[i+3][j+3] == self.board[i+4][j+4] and self.board[i][j] != EMPTY:
return self.board[i][j]
# 判断右上到左下是否连5个
for i in range(BOARD_SIZE - 4):
for j in range(4, BOARD_SIZE):
if self.board[i][j] == self.board[i+1][j-1] == self.board[i+2][j-2] == self.board[i+3][j-3] == self.board[i+4][j-4] and self.board[i][j] != EMPTY:
return self.board[i][j]
# 判断是否平局
for i in range(BOARD_SIZE):
for j in range(BOARD_SIZE):
if self.board[i][j] == EMPTY:
return None
return EMPTY
class AI:
def __init__(self, board):
self.board = board
def heuristic(self, move):
# 计算当前落子位置的得分
score = 0
x, y = move
dx, dy = [-1, -1, 0, 1, 1, 1, 0, -1], [0, 1, 1, 1, 0, -1, -1, -1]
for d in range(8):
cnt, block = 0, 0
for step in range(1, 5):
nx, ny = x + step * dx[d], y + step * dy[d]
if nx < 0 or nx >= BOARD_SIZE or ny < 0 or ny >= BOARD_SIZE or self.board.board[nx][ny] == self.board.turn:
cnt += 1
if block:
block = 0
break
elif self.board.board[nx][ny] == EMPTY:
if block:
break
block = 1
else:
break
if cnt == 4:
score += 100
elif cnt == 3:
score += 5
elif cnt == 2:
score += 2
elif cnt == 1:
score += 1
return score
def a_star_search(self):
# 使用A*算法搜索最优解决方案
pq = PriorityQueue()
visited = set()
pq.put((0, self.board.get_legal_moves()[0]))
visited.add(self.board.get_legal_moves()[0])
while not pq.empty():
_, move = pq.get()
x, y = move
if self.board.turn == BLACK:
self.board.board[x][y] = BLACK
else:
self.board.board[x][y] = WHITE
winner = self.board.get_winner()
if winner == BLACK:
self.board.board[x][y] = EMPTY
return move
elif winner == WHITE:
self.board.board[x][y] = EMPTY
return move
legal_moves = self.board.get_legal_moves()
for new_move in legal_moves:
if new_move not in visited:
visited.add(new_move)
priority = self.heuristic(new_move)
pq.put((priority, new_move))
self.board.board[x][y] = EMPTY
def get_move(self):
# 获取AI的落子位置
return self.a_star_search()
def draw_board(screen, board):
# 绘制棋盘和棋子
screen.fill(GREY_COLOR)
for i in range(BOARD_SIZE):
pygame.draw.line(screen, BLACK_COLOR, (GRID_SIZE//2, GRID_SIZE//2+i*GRID_SIZE), (GRID_SIZE//2+(BOARD_SIZE-1)*GRID_SIZE, GRID_SIZE//2+i*GRID_SIZE), 1)
pygame.draw.line(screen, BLACK_COLOR, (GRID_SIZE//2+i*GRID_SIZE, GRID_SIZE//2), (GRID_SIZE//2+i*GRID_SIZE, GRID_SIZE//2+(BOARD_SIZE-1)*GRID_SIZE), 1)
for i in range(BOARD_SIZE):
for j in range(BOARD_SIZE):
if board.board[i][j] == BLACK:
pygame.draw.circle(screen, BLACK_COLOR, (GRID_SIZE//2+j*GRID_SIZE, GRID_SIZE//2+i*GRID_SIZE), GRID_SIZE//2-2, 0)
elif board.board[i][j] == WHITE:
pygame.draw.circle(screen, WHITE_COLOR, (GRID_SIZE//2+j*GRID_SIZE, GRID_SIZE//2+i*GRID_SIZE), GRID_SIZE//2-2, 0)
def main():
pygame.init()
screen = pygame.display.set_mode((GRID_SIZE*BOARD_SIZE, GRID_SIZE*BOARD_SIZE))
pygame.display.set_caption("五子棋")
board = Board()
ai = AI(board)
while True:
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
return
elif event.type == pygame.MOUSEBUTTONDOWN:
if board.turn == BLACK:
x, y = event.pos
row, col = y // GRID_SIZE, x // GRID_SIZE
if board.board[row][col] == EMPTY:
board.board[row][col] = BLACK
board.turn = WHITE
elif event.type == pygame.KEYDOWN:
if event.key == pygame.K_r:
board.__init__()
ai.__init__(board)
if board.turn == WHITE:
move = ai.get_move()
board.board[move[0]][move[1]] = WHITE
board.turn = BLACK
draw_board(screen, board)
winner = board.get_winner()
if winner is not None:
font = pygame.font.Font(None, 30)
text = font.render("黑方获胜" if winner == BLACK else "白方获胜" if winner == WHITE else "平局", True, BLACK_COLOR)
screen.blit(text, (GRID_SIZE*BOARD_SIZE//2-60, GRID_SIZE*BOARD_SIZE//2-15))
font = pygame.font.Font(None, 20)
text = font.render("按R重新开始", True, BLACK_COLOR)
screen.blit(text, (GRID_SIZE*BOARD_SIZE//2-50, GRID_SIZE*BOARD_SIZE//2+15))
pygame.display.update()
if __name__ == '__main__':
main()
```
这样就实现了基于A*算法的五子棋游戏,玩家可以和AI进行对战。
阅读全文