```1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 ``` ```# Makes sense only if you use PyPy or Psyco from sys import argv try: import psyco psyco.full() except: pass WIDTH = 7 HEIGHT = 6 ORANGE_WINS = 1000000 YELLOW_WINS = -ORANGE_WINS g_max_depth = 7 g_debug = False class Cell: Barren = 0 Orange = 1 Yellow = -1 def score_board(board): counters = [0] * 9 # Horizontal spans for y in xrange(HEIGHT): score = board[y][0] + board[y][1] + board[y][2] for x in xrange(3, WIDTH): score += board[y][x] counters[score + 4] += 1 score -= board[y][x - 3] # Vertical spans for x in xrange(WIDTH): score = board[0][x] + board[1][x] + board[2][x] for y in xrange(3, HEIGHT): score += board[y][x] counters[score + 4] += 1 score -= board[y - 3][x] # Down-right (and up-left) diagonals for y in xrange(HEIGHT - 3): for x in xrange(WIDTH - 3): score = 0 for idx in xrange(4): score += board[y + idx][x + idx] counters[score + 4] += 1 # up-right (and down-left) diagonals for y in xrange(3, HEIGHT): for x in xrange(WIDTH - 3): score = 0 for idx in xrange(4): score += board[y - idx][x + idx] counters[score + 4] += 1 if counters[0] != 0: return YELLOW_WINS elif counters[8] != 0: return ORANGE_WINS else: return (counters[5] + 2 * counters[6] + 5 * counters[7] + 10 * counters[8] - counters[3] - 2 * counters[2] - 5 * counters[1] - 10 * counters[0]) def drop_disk(board, column, color): for y in xrange(HEIGHT - 1, -1, -1): if board[y][column] == Cell.Barren: board[y][column] = color return y return -1 def load_board(args): global g_debug, g_max_depth new_board = [[Cell.Barren] * WIDTH for _ in xrange(HEIGHT)] for i, arg in enumerate(args[1:]): if arg[0] == 'o' or arg[0] == 'y': new_board[ord(arg[1]) - ord('0')][ord(arg[2]) - ord('0')] = \ Cell.Orange if arg[0] == 'o' else Cell.Yellow elif arg == "-debug": g_debug = True elif arg == "-level" and i < (len(args) - 2): g_max_depth = int(args[i + 2]) return new_board def ab_minimax(maximize_or_minimize, color, depth, board): global g_max_depth, g_debug if depth == 0: return (-1, score_board(board)) else: best_score = -10000000 if maximize_or_minimize else 10000000 bestMove = -1 for column in xrange(WIDTH): if board[0][column] != Cell.Barren: continue rowFilled = drop_disk(board, column, color) if rowFilled == -1: continue s = score_board(board) if s == (ORANGE_WINS if maximize_or_minimize else YELLOW_WINS): bestMove = column best_score = s board[rowFilled][column] = Cell.Barren break move, score = ab_minimax(not maximize_or_minimize, Cell.Yellow if color == Cell.Orange else Cell.Orange, depth - 1, board) board[rowFilled][column] = Cell.Barren if depth == g_max_depth and g_debug: print "Depth %d, placing on %d, score:%d" % (depth, column, score) if maximize_or_minimize: if score >= best_score: best_score = score bestMove = column else: if score <= best_score: best_score = score bestMove = column return (bestMove, best_score) def main(args): global g_max_depth board = load_board(args) score_orig = score_board(board) if score_orig == ORANGE_WINS: print "I win." return -1 elif score_orig == YELLOW_WINS: print "You win." return -1 else: move, score = ab_minimax(True, Cell.Orange, g_max_depth, board) if move != -1: print move drop_disk(board, move, Cell.Orange) score_orig = score_board(board) if score_orig == ORANGE_WINS: print "I win." return -1 elif score_orig == YELLOW_WINS: print "You win." return -1 else: return 0 else: print "No move possible." return -1 exit(main(argv)) ```