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game_2048.py
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#This is the game "2048".
import copy
from board import Board
from ai_player import Ai
import numpy as np
class Game:
"""
this class provides interfaces of playing games by
human players or ai players, recording games, saving
games and replaying games.
"""
def __init__(self):
self.pow = './game_archives/'
self.idle()
def idle(self):
self._game = list()
order = input(
"""Choose one from the list:
1: new game
2: new game by ai
3: new game by ai quiet
4: load
5: replay
6: auto train ai
0: exit
""")
if order == '1':
parameter = {'size': eval(input('size: ')),
'odd_2': eval(input('odd of 2(between 0 and 1): '))}
self.new_game(parameter)
if order == '2':
parameter = {'size': eval(input('size: ')),
'odd_2': eval(input('odd of 2(between 0 and 1): '))}
name = input('Name of the ai player: ')
self.new_game_by_ai(name,parameter,0)
if order == '3':
parameter = {'size': eval(input('size: ')),
'odd_2': eval(input('odd of 2(between 0 and 1): '))}
name = input('Name of the ai player: ')
self.new_game_by_ai(name,parameter)
if order == '4':
self.load(input('Name of the game: '))
if order == '5':
self.replay(input('Name of the game: '))
if order == '6':
self.auto_train_ai()
if order == '0':
pass
def new_game(self,parameter):
self._board = Board(parameter)
self._play()
def _play(self):
endgame_flag = self._board.gameend()
while endgame_flag == 0:
self._board.print_board()
self.push()
order = input('Your Move(wsad,e:exit): ')
while order != 'e' and self._board.move(order) == 0:
order = input('Your Move(wsad,e:exit): ')
if order == 'e':
break
if order == 'e':
break
self.push(order)
self._board.next()
endgame_flag = self._board.gameend()
if endgame_flag == 1:
self._board.print_board()
print('Game over!')
if input('Do you want to save the game?(y/n) ') == 'y':
self.save(input('Name of the game: '))
self.idle()
def save(self,filename):
with open(self.pow+filename,'w') as f:
for line in self._game:
f.write(str(line))
f.write('\n')
with open(self.pow+filename+'.para','w') as f:
f.write(str(self._board.para))
def _load_game(self,filename):
with open(self.pow+filename,'r') as f:
for line in f:
self._game.append(eval(line))
with open(self.pow+filename+'.para','r') as f:
self._board = Board(eval(f.read()))
def load(self,filename):
self._load_game(filename)
self.pop()
self._play()
def push(self,move=None):
temp = []
if move==None:
for row in self._board:
temp.extend(row)
self._game.append(temp)
else:
self._game[-1].append(move)
def pop(self):
temp_board = list()
n = self._board.para['size']
temp_row = self._game.pop()
for idx in range(n):
temp_board.append(temp_row[idx*n:(idx+1)*n])
self._board.load_board(temp_board)
def read(self,idx):
temp_board = list()
n = self._board.para['size']
temp_row = self._game[idx]
for jdx in range(n):
temp_board.append(temp_row[jdx*n:(jdx+1)*n])
self._board.load_board(temp_board)
if len(temp_row) == n*n+1:
return self._game[idx][-1]
else:
return None
def new_game_by_ai(self,name,parameter,quiet=1):
self._board = Board(parameter)
player = Ai()
player.new(name)
endgame_flag = self._board.gameend()
while endgame_flag == 0:
self._board.print_board()
self.push()
if quiet != 1:
if input('next?(y/n) ') != 'n':
board = copy.deepcopy(self._board)
order = player.move(board)
if self._board.move(order) == 0:
print('AI error.')
break
self.push(order)
self._board.next()
else:
break
else:
board = copy.deepcopy(self._board)
order = player.move(board)
if self._board.move(order) == 0:
print('AI error.')
break
self.push(order)
self._board.next()
endgame_flag = self._board.gameend()
if endgame_flag == 1:
self._board.print_board()
print('Game over!')
if input('Do you want to save the game?(y/n) ') == 'y':
self.save(input('Name of the game: '))
self.idle()
def replay(self,filename):
self._load_game(filename)
for idx in range(len(self._game)):
move = self.read(idx)
self._board.print_board()
if move == None:
print('Game over!')
break
print(move)
if input('next?(y/n) ') == 'y':
self._board.move(move)
else:
break
self.idle()
def auto_train_ai(self):
player = Ai()
player.new(input('Name of the AI: '))
rounds = eval(input('Number of rounds: '))
batch_size = eval(input('Batch size: '))
counter_saved = 0
for idx in range(rounds):
self._game = list()
self._board = Board(player.para)
endgame_flag = self._board.gameend()
while endgame_flag == 0:
self.push()
board = copy.deepcopy(self._board)
order = player.move(board)
if self._board.move(order) == 0:
print('AI error.')
break
self.push(order)
self._board.next()
endgame_flag = self._board.gameend()
if endgame_flag == 1:
self._board.print_board()
print('Game over!')
position = player.insert_cache_queue(np.max(self._board))
# position > -2 means every game will be learned
# to learn newly inserted games set to > -1
if position > -2:
self.save('cached_game'+str(position))
# counter_saved += 1
# filenames = ['cached_game'+str(i) for i in
# range(min(counter_saved,player.score_list_size))]
filenames = ['cached_game'+str(position)]
player.learn(batch_size,filenames,quiet=1)
player.save()
self.idle()
#The following is the main program.
if __name__ == '__main__':
game = Game()