Python五子棋大作业报告

本文将从多个方面对Python五子棋大作业进行详细阐述。

一、游戏规则

五子棋，也称为连珠、五目连珠，在一个棋盘上进行，棋盘大小为15x15。两位玩家轮流下棋，黑棋先手，白棋后手。目标是在棋盘上形成一个连续的、横、竖、斜的五个棋子。

代码示例：

def check_win(board, row, col, player):
    directions = [(1, 0), (0, 1), (1, 1), (1, -1)]
    for dx, dy in directions:
        count = 1
        x, y = row + dx, col + dy
        while x >= 0 and x < len(board) and y >= 0 and y < len(board[0]) and board[x][y] == player:
            count += 1
            x += dx
            y += dy
        x, y = row - dx, col - dy
        while x >= 0 and x < len(board) and y >= 0 and y < len(board[0]) and board[x][y] == player:
            count += 1
            x -= dx
            y -= dy
        if count >= 5:
            return True
    return False

二、游戏界面

游戏界面是以图形化形式呈现的，包括棋盘、棋子和操作按钮。玩家可以点击棋盘上的空白位置来落子，然后通过判断胜负来决定下一步的操作。

代码示例：

import pygame

def draw_board(board):
    for row in range(len(board)):
        for col in range(len(board[row])):
            if board[row][col] == 1:
                pygame.draw.circle(screen, (0, 0, 0), (col * 50 + 25, row * 50 + 25), 20)
            elif board[row][col] == -1:
                pygame.draw.circle(screen, (255, 255, 255), (col * 50 + 25, row * 50 + 25), 20)

def draw_interface(board):
    screen.fill((210, 180, 140))
    draw_board(board)
    pygame.display.update()

三、游戏逻辑

游戏逻辑主要包括落子、判断胜负和重置游戏。在每次玩家点击棋盘上的空白位置后，需要更新棋盘状态，并判断是否有玩家胜利或者平局。

代码示例：

def place_piece(board, row, col, player):
    if board[row][col] == 0:
        board[row][col] = player

def check_full(board):
    for row in range(len(board)):
        for col in range(len(board[row])):
            if board[row][col] == 0:
                return False
    return True

def reset_game(board):
    for row in range(len(board)):
        for col in range(len(board[row])):
            board[row][col] = 0

四、AI算法

为了增加游戏的挑战性，可以添加一个简单的AI算法来作为对手。AI算法主要包括选择最佳位置来下棋，以及优化棋局评估函数来提高智能。

代码示例：

def choose_best_move(board, player):
    best_score = float('-inf')
    best_move = None
    for row in range(len(board)):
        for col in range(len(board[row])):
            if board[row][col] == 0:
                board[row][col] = player
                score = minimax(board, 0, False)
                board[row][col] = 0
                if score > best_score:
                    best_score = score
                    best_move = (row, col)
    return best_move

def minimax(board, depth, is_maximizing):
    if check_win(board, row, col, player):
        return 1 if is_maximizing else -1
    elif check_full(board):
        return 0
    if is_maximizing:
        best_score = float('-inf')
        for row in range(len(board)):
            for col in range(len(board[row])):
                if board[row][col] == 0:
                    board[row][col] = player
                    score = minimax(board, depth + 1, False)
                    board[row][col] = 0
                    best_score = max(score, best_score)
        return best_score
    else:
        best_score = float('inf')
        for row in range(len(board)):
            for col in range(len(board[row])):
                if board[row][col] == 0:
                    board[row][col] = -player
                    score = minimax(board, depth + 1, True)
                    board[row][col] = 0
                    best_score = min(score, best_score)
        return best_score

通过以上几个方面的阐述，我们了解了Python五子棋大作业的游戏规则、游戏界面、游戏逻辑以及AI算法。