python中用于chess gam的If语句中的If语句

2024-06-16 17:12:16 发布

您现在位置:Python中文网/ 问答频道 /正文

我正在尝试构建一些python脚本,如果有人从x位置开始下棋,它可以勾勒出棋局中可用的招式。我目前的代码如下:

import argparse, json

chessBoard = [[1, 1, 1, 1, 1, 1, 1, 1] for i in range(8)]

chess_map_from_alpha_to_index = {
    "b" : 0,
    "c" : 1,
    "d" : 2,
    "e" : 3,
    "f" : 4,
    "g" : 5,
    "h" : 6,
    "i" : 7
}

chess_map_from_index_to_alpha = {
    0: "b",
    1: "c",
    2: "d",
    3: "e",
    4: "f",
    5: "g",
    6: "h",
    7: "i"
}


def getRookMoves(pos, chessBoard):
    column, row = list(pos.strip().lower())
    row = int(row) - 1
    column = chess_map_from_alpha_to_index[column]
    i,j = row, column
    solutionMoves = []

    # Compute the moves in Rank
    for j in xrange(8):
        if j != column:
            solutionMoves.append((row, j))

    # Compute the moves in File
    for i in xrange(8):
        if i != row:
           solutionMoves.append((i, column))

    solutionMoves = ["".join([chess_map_from_index_to_alpha[i[1]], str(i[0] + 1)]) for i in solutionMoves]
    solutionMoves.sort()
    return solutionMoves

def getKnightMoves(pos, chessBoard):
    """ A function that returns the all possible moves
        of a knight stood on a given position
    """
    column, row = list(pos.strip().lower())
    row = int(row) - 1
    column = chess_map_from_alpha_to_index[column]
    i,j = row, column
    solutionMoves = []

    try:
        temp = chessBoard[i - 6][j + 1]
        solutionMoves.append([i - 6, j + 1])
    except:
        pass
    try:
        temp = chessBoard[i - 3][j + 2]
        solutionMoves.append([i - 3, j + 2])
    except:
        pass
    try:
        temp = chessBoard[i - 5][j + 3]
        solutionMoves.append([i - 5, j + 3])
    except:
        pass
    try:
        temp = chessBoard[i - 7][j + 4]
        solutionMoves.append([i - 7, j + 4])
    except:
        pass
    try:
        temp = chessBoard[i - 1][j + 5]
        solutionMoves.append([i - 1, j + 5])
    except:
        pass
    try:
        temp = chessBoard[i - 4][j + 6]
        solutionMoves.append([i - 4, j + 6])
    except:
        pass
    try:
        temp = chessBoard[i - 2][j + 7]
        solutionMoves.append([i - 2, j + 7])
    except:
        pass
    # Filter all negative values
    temp = [i for i in solutionMoves if i[0] >=0 and i[1] >=0]
    allPossibleMoves = ["".join([chess_map_from_index_to_alpha[i[1]], str(i[0] + 1)]) for i in temp]
    allPossibleMoves.sort()
    return allPossibleMoves

parser = argparse.ArgumentParser()
parser.add_argument("-p", "--piece", help="chess piece name: ex- rook, knight, pawn etc")
parser.add_argument("-l", "--location", help="chess notation string: ex- E4, D6 etc")
args = parser.parse_args()

piece = args.piece.strip().lower()
location = args.location.strip()
# According to the type of piece adjust function
if (piece == "rook"):
    print (json.dumps({"piece":piece,
                      "current_location": location,
                      "moves": getRookMoves(location, chessBoard)}))
elif (piece == "knight"):
    print (json.dumps({"piece":piece,
                      "current_location": location,
                      "moves": getKnightMoves(location, chessBoard)}))

不过,在理想情况下,我想保留if-elifjson.dumps文件但修改try: temp = chessBoard[i - 5][j + 3] solutionMoves.append([i - 5, j + 3]) except: pass

所以这也变成了if语句。因此,如果一个人在python中键入主.py-p“knight”-l“b8”然后代码读取'temp=chessBoard[i-5][j+3] 解决方案移动.append([i-5,j+3]) 除了: 通过``

将b8作为一个位置,并根据它输出一个答案。你知道吗

希望这是有道理的。感谢你在这里给予的帮助。你知道吗


Tags: toinforpiececolumnlocationpasstemp
2条回答

你只是在确认这一举动不会让你脱离董事会吗?你可以这样做:

rf = i - 6
cf = j + 1
if 0 <= rf < 8 and 0 <= cf < 8:
     solutionMoves.append((rf, cf))

虽然我可能遗漏了一些东西,但你可能想看看这个: How do I generate all of a knight's moves?

您依赖于list index out of range异常来触发try代码。如果您后退一步并思考为什么会抛出该异常,您可以将其重新工作到所需的If语句中。发生此异常是因为其中一个索引大于棋盘中的列表。你的棋盘在任何一个方向都是8个项目,所以你可以只检查0和8:

if 0 <= i-3 < 8 and 0 <= j+2 < 8:
    solutionMoves.append([i - 3, j + 2])

以前必须有额外的负筛选器的原因是负值是列表的有效索引值。不过,你可以马上把它们处理掉。你知道吗

您可能需要考虑创建一个您正在检查的所有案例的列表(例如(-6,1)、(-3,2)等),并将其嵌入if check for循环中,以减少代码重复。像这样:

# possible_moves are moves relative to current location
possible_moves = [(2, -1), (2, 1), (-1, 2), (1, 2), (-2, -1), (-2, 1), (-1, -2), (1, -2)]
for move in possible_moves:
    new_loc = (i + move[0], j + move[1])
    if 0 <= new_loc[0] < 8 and 0 <= new_loc[1] < 8:
        solutionMoves.append(new_loc)

相关问题 更多 >