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A genetically optimized mahjong table seating randomizer
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| #!/usr/bin/env python | |
| import sqlite3 as sql | |
| import random | |
| POPULATION = 256 | |
| def main(): | |
| todays_players = [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] # 98 | |
| random.shuffle(todays_players) | |
| todays_players = todays_players[0:32] # 32 random players | |
| #todays_players = [40,6,23,26,15,98,1,10,55,16,56,97,96,12,13,41,52,88,66,94,89,86,87,77,79,72,76] # 27 players | |
| #todays_players = [40,6,23,26,15,98,1,10] # 8 players (best case score 24) | |
| #todays_players = [97, 96, 12, 13, 41, 52, 88, 66, 94] # 12 players (best case score 14) | |
| conn = sql.connect('MahjongScores.db') | |
| playergames = playerGames(todays_players, conn.cursor()) | |
| conn.close() | |
| tables = bestArrangement(todays_players, playergames) | |
| print "Final score: " + str(tablesScore(tables, playergames)) | |
| print "Final arrangement: " + str(tables) | |
| def bestArrangement(tables, playergames, population = POPULATION): | |
| numplayers = len(tables) | |
| tabless = [] | |
| for i in range(POPULATION): | |
| random.shuffle(tables) | |
| tabless += [(tablesScore(tables, playergames), tables)] | |
| tabless.sort(key=itemgetter(0)) | |
| minScore = tabless[0][0] | |
| improved = 0 | |
| while improved < numplayers and minScore > 0: | |
| for j in range(POPULATION): | |
| newTables = mutateTables(tabless[j][1]) | |
| tabless += [(tablesScore(newTables, playergames), newTables)] | |
| tabless.sort(key=itemgetter(0)) | |
| tabless = tabless[0:POPULATION] | |
| improved += 1 | |
| if minScore != tabless[0][0]: | |
| minScore = tabless[0][0] | |
| improved = 0 | |
| return tabless[0][1] | |
| def mutateTables(tables): | |
| tables = tables[:] | |
| a = random.randint(0, len(tables) - 1) | |
| b = random.randint(0, len(tables) - 1) | |
| tables[a], tables[b] = tables[b], tables[a] | |
| return tables | |
| def tablesScore(players, playergames): | |
| numplayers = len(players) | |
| if numplayers >= 8: | |
| tables_5p = numplayers % 4 | |
| total_tables = int(numplayers / 4) | |
| tables_4p = total_tables - tables_5p | |
| else: | |
| if numplayers >= 5: | |
| tables_5p = 1 | |
| else: | |
| tables_5p = 0 | |
| total_tables = 1 | |
| tables_4p = total_tables - tables_5p | |
| score = 0 | |
| for i in range(0, tables_5p * 5, 5): | |
| table = players[i:i+5] | |
| score += tableScore(table, playergames) | |
| for i in range(tables_5p * 5, numplayers, 4): | |
| table = players[i:i+4] | |
| score += tableScore(table, playergames) | |
| return score | |
| def tableScore(players, playergames): | |
| numplayers = len(players) | |
| score = 0 | |
| for i in range(numplayers): | |
| for j in range(i + 1, numplayers): | |
| if (players[i], players[j]) in playergames: | |
| score += playergames[(players[i], players[j])] | |
| elif (players[j], players[i]) in playergames: | |
| score += playergames[(players[j], players[i])] | |
| return score | |
| def playerGames(players, c): | |
| numplayers = len(players) | |
| playergames = dict() | |
| for i in range(numplayers): | |
| for j in range(i + 1, numplayers): | |
| games = c.execute("SELECT COUNT(*) FROM Scores WHERE PlayerId = ? AND GameId IN (SELECT GameId FROM Scores WHERE PlayerId = ?)", (players[i], players[j])).fetchone()[0] | |
| if games != 0: | |
| playergames[(players[i], players[j])] = games | |
| return playergames | |
| if __name__ == "__main__": | |
| main() |
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