def main_human():
game = Game(players=[
HumanPlayer(name="Fedor", symbol_class=X),
HumanPlayer(name="Julia", symbol_class=O),
])
Game(players="Bentsi")
game.run()
def main():
player_first = ''
player_second = ''
print("Меню".center(32, '*'))
print("1. знакомится с правилами игры")
print("2. Играть с другим человеком")
print("3. Играть с роботом")
print("4. посмотреть игру двух роботов")
print("5. Для выхода из программы нажмите '-1' ")
while True:
choice_you = choice()
if choice_you == 1:
with open("tictactoe/rules_of_the_game", "r", encoding='utf-8') as file:
rules_the_game = file.read()
print(rules_the_game)
return 0
elif choice_you == 2:
player_first, player_second = main_human()
elif choice_you == -1:
return 0
elif choice_you == 3:
player_first, player_second = main_robotic_human()
elif choice_you == 4:
player_first, player_second = main_robotic()
game = Game(player_one=player_first, player_two=player_second)
game.run()
def __init__(self):
self.game = Game()
self.score = {
"X": +1,
"O": -1,
"tie": 0
}
def setUp(self):
self.mock_cli_input = MockCLIInput()
self.mock_cli_output = MockCLIOutput()
self.ui = UIWrapper(self.mock_cli_output)
self.rules = Rules()
self.game = Game(Player("X", self.mock_cli_input, self.ui), Player("O", MockCLIInput(), self.ui), self.ui, Validations(), self.rules, Board())
self.engine = create_engine(TEST_DB_ADDRESS)
self.db = Database(self.engine)
def test_is_won_in_columns(self):
game = Game(None, None)
game.board.clean_marks()
self.assertFalse(game.is_won())
game.board.mark_cell(3, 1)
game.board.mark_cell(6, 1)
game.board.mark_cell(9, 1)
self.assertTrue(game.is_won())
def test_is_won_in_diagonals_from_left_to_right_diagonal(self):
game = Game(None, None)
game.board.clean_marks()
self.assertFalse(game.is_won())
game.board.mark_cell(1, 1)
game.board.mark_cell(5, 1)
game.board.mark_cell(9, 1)
self.assertTrue(game.is_won())
def test_ask_cells_for_tied_game(self):
selected_cells = [1, 5, 9, 2, 8, 7, 3, 6, 4]
game = Game(lambda _: selected_cells.pop(), self.print_function)
game.board.clean_marks()
game.ask_cells()
self.assertFalse(game.is_won())
expected_printed_messages = ' The game is over and this is a tie!!'
messages = self.returned_string.split('\n')
win_message = messages[len(messages) - 2]
self.assertEqual(win_message, expected_printed_messages)
def test_run_3(self):
input_stream = StringIO(
'John Doe\nMichael Doe\n2\n6\n2\n8\n5\n4\n7\n3\n1\n9\n')
output_stream = StringIO()
game = Game(input_stream=input_stream, output_stream=output_stream)
output_stream.truncate(0)
output_stream.seek(0)
game.run()
with open(join(dirname(__file__), 'sample2.txt')) as file:
sample = file.read()
self.assertEqual(output_stream.getvalue(), sample)
def test_ask_cells_for_won_game(self):
game = Game(lambda n: 3, self.print_function)
game.board.clean_marks()
game.board.mark_cell(1, 1)
game.board.mark_cell(2, 1)
game.ask_cells()
self.assertTrue(game.is_won())
expected_printed_messages = ' Player 1 wins the game!!'
messages = self.returned_string.split('\n')
win_message = messages[len(messages) - 2]
self.assertEqual(win_message, expected_printed_messages)
def test_get_selected_cell_with_marked_cell_selection(self):
expected_option = 2
selected_options = [2, 1]
game = Game(lambda n: selected_options.pop(), self.print_function)
game.board.clean_marks()
game.board.mark_cell(1, 1)
option = game.get_selected_cell()
self.assertEqual(option, expected_option)
expected_printed_messages = 'Player 1s turn\n'
expected_printed_messages += 'The cell is already marked, please select another one\n'
expected_printed_messages += 'Player 1s turn\n'
self.assertEqual(self.returned_string, expected_printed_messages)
def beginTeaching(self, episodes):
""" Loop through game iterations with a teaching agent. """
teacher = Teacher()
# Train for alotted number of episodes
while self.games_played < episodes:
game = Game(self.agent, teacher=teacher)
game.start()
self.games_played += 1
# Monitor progress
if self.games_played % 1000 == 0:
print("Games played: %i" % self.games_played)
plot_agent_reward(self.agent.rewards)
def beginTeaching(self, episodes):
""" Loop through game iterations with a teaching agent. """
teacher = Teacher()
# Train for alotted number of episodes
while self.games_played < episodes:
game = Game(self.agent, teacher=teacher)
game.start()
self.games_played += 1
# Monitor progress
if self.games_played % 1000 == 0:
print("Games played: %i" % self.games_played)
# save final agent
self.agent.save(self.path)
def test_run_2(self):
input_stream = StringIO('John Doe\nMichael Doe\n2\n1')
output_stream = StringIO()
game = Game(n=1,
input_stream=input_stream,
output_stream=output_stream)
output_stream.truncate(0)
output_stream.seek(0)
game.run()
self.assertEqual(
output_stream.getvalue(),
' 1 \n\n' + 'John Doe, choose a box to place an \'X\' into:\n>> \n'
'That is not a valid box.\n'
'John Doe, choose a box to place an \'X\' into:\n>> \n\n'
' X \n\n' + 'Congratulations John Doe! You have won.\n')
def playIncompleteGameAIPlaysSecond(self):
ai_game = Game(Player("X", self.mock_cli_input, self.ui),
AIMinimax("O", Rules()), self.ui, Validations(),
Rules(), Board())
ai_game._board.make_move(1, self.game._player1._symbol)
ai_game._board.make_move(3, self.game._player2._symbol)
self.db.add_game_to_database(ai_game)
def test_print_winner_message(self):
game = Game(None, self.print_function)
game.print_winner_message()
self.assertEqual(self.returned_string, ' Player 1 wins the game!!\n')
game.switch_player()
self.returned_string = ''
game.print_winner_message()
self.assertEqual(self.returned_string, ' Player 2 wins the game!!\n')
def test_init(self):
input_stream = StringIO('John Doe\nMichael Doe\n')
output_stream = StringIO()
game = Game(input_stream=input_stream, output_stream=output_stream)
self.assertEqual(game.names, ['John Doe', 'Michael Doe'])
self.assertEqual(
output_stream.getvalue(),
'Enter name for Player 1:\n>> \nEnter name for Player 2:\n>> \n')
def recreate_game_object(self, saved_game):
cli_input = CLIInput()
ui = UIWrapper(CLIOutput())
board_obj = self.create_board_object(saved_game)
player_x_obj = self.create_player_x_object(saved_game, cli_input, ui)
player_o_obj = self.create_player_o_object(saved_game, cli_input, ui)
game_obj = Game(player_x_obj, player_o_obj, ui, Validations(), Rules(), board_obj, saved_game.id)
return game_obj
def beginTeaching(self, episodes):
""" Loop through game iterations with a teaching agent. """
teacher = Teacher()
# Train for alotted number of episodes
while self.games_played < episodes:
game = Game(self.agent, teacher=teacher)
game.start()
self.games_played += 1
# Monitor progress
if self.games_played % 1000 == 0:
print("Games played: %i" % self.games_played)
plot_agent_reward(self.agent.rewards)
if args.agent_type == "q":
self.agent.save_agent(self.qlearner_agent_path)
elif args.agent_type == "s":
self.agent.save_agent(self.sarsa_agent_path)
def setUp(self):
self.mock_cli_input = MockCLIInput()
self.output = MockCLIOutput()
self.player1 = Player("X", MockCLIInput(), self.output)
self.player2 = Player("O", MockCLIInput(), self.output)
self.rules = Rules()
self.board = Board()
self.game = Game(Player("X", self.mock_cli_input, self.output),
Player("O", MockCLIInput(), self.output), self.output,
Validations(), self.rules, self.board)
self.engine = create_engine(TEST_DB_ADDRESS)
self.db = Database(self.engine)
def beginPlaying(self):
""" Loop through game iterations with a human player. """
print("Welcome to Tic-Tac-Toe. You are 'X' and the computer is 'O'.")
def play_again():
print("Games played: %i" % self.games_played)
while True:
play = input("Do you want to play again? [y/n]: ")
if play == 'y' or play == 'yes':
return True
elif play == 'n' or play == 'no':
return False
else:
print("Invalid input. Please choose 'y' or 'n'.")
while True:
game = Game(self.agent)
game.start()
self.games_played += 1
if not play_again():
print("OK. Quitting.")
break
def beginPlaying(self):
""" Loop through game iterations with a human player. """
print("Welcome to Tic-Tac-Toe. You are 'X' and the computer is 'O'.")
def play_again():
print("Games played: %i" % self.games_played)
while True:
play = input("Do you want to play again? [y/n]: ")
if play == 'y' or play == 'yes':
return True
elif play == 'n' or play == 'no':
return False
else:
print("Invalid input. Please choose 'y' or 'n'.")
while True:
game = Game(self.agent)
game.start()
self.games_played += 1
if not play_again():
print("OK. Quitting.")
break
def setUp(self):
app.testing = True
self.data = {
'player': 'x',
'opponent': 'o',
'winner': False,
'board': {
'top-left': {
'value': ''
},
'top-center': {
'value': ''
},
'top-right': {
'value': ''
},
'middle-left': {
'value': ''
},
'middle-center': {
'value': ''
},
'middle-right': {
'value': ''
},
'bottom-left': {
'value': ''
},
'bottom-center': {
'value': ''
},
'bottom-right': {
'value': ''
},
}
}
self.game = Game(self.data)
def main():
player_first = ""
player_second = ""
print("Menu".center(32, ' '))
print("1. Check rules of the game" + "\n" + "2. Human VS Human" + "\n" +
"3. Human VS Robot" + "\n" + "4. Robot VS Robot" + "\n" +
"5. To exist the game push the '5' ")
while True:
your_choice = choice()
if your_choice == 1:
with open("rules_of_the_game.txt", "r", encoding='utf-8') as f:
rules_of_the_game = f.read()
print(rules_of_the_game)
return main()
elif your_choice == 2:
player_first, player_second = main_human()
elif your_choice == 3:
player_first, player_second = main_robot_human()
elif your_choice == 4:
player_first, player_second = main_robots()
elif your_choice == 5:
return 0
game = Game(player_one=player_first, player_two=player_second)
game.run()
def setUp(self):
self.engine = create_engine(TEST_DB_ADDRESS)
self.db = Database(self.engine)
self.mock_cli_input = MockCLIInput()
self.mock_cli_output = MockCLIOutput()
self.ui = UIWrapper(self.mock_cli_output)
self.game = Game(Player("X", self.mock_cli_input, self.ui),
Player("O", self.mock_cli_input, self.ui), self.ui,
Validations(), Rules(), Board())
self.setup_game = SetupGame(self.mock_cli_input, self.mock_cli_output,
self.engine)
meta = MetaData(bind=self.engine)
self.game_table = Table("saved_games",
meta,
autoload=True,
autoload_with=self.engine)
def main():
print("pycrosses, v1.0")
try:
while True:
while True:
try:
human_players = int(input("How many human players? [2]> "))
human_players = human_players if human_players <= 2 else 2
break
except ValueError:
print("Not a number")
player_names = [
input(f"Enter player {i + 1} name> ")
for i in range(human_players)
]
game = Game(players=[])
symbols = cycle([X, O])
for v in player_names:
game.add_player(HumanPlayer(name=v,
symbol_class=next(symbols)))
for _ in range(2 - human_players):
game.add_player(
RoboticPlayer(symbol_class=next(symbols), gamestate=game))
game.run()
answer = input("Play again? y/n> ")
if (answer == 'y'):
continue
break
except EOFError:
exit(1)
except KeyboardInterrupt:
exit(1)
def test_print_game_instructions(self):
game = Game(None, self.print_function)
game.print_game_instructions()
printed_messages = self.returned_string.split('\n')
expected_message = 'Select the number of the cell that you want to mark'
self.assertEqual(printed_messages[0], expected_message)
def test_print_tied_game_message(self):
game = Game(None, self.print_function)
game.print_tied_game_message()
self.assertEqual(self.returned_string,
' The game is over and this is a tie!!\n')
import tensorflow as tf
import numpy as np
from collections import deque
from tictactoe.deep_q_network import DeepQNetwork
from tictactoe.game import Game
# initialize game env
env = Game()
# initialize tensorflow
sess1 = tf.Session()
sess2 = tf.Session()
optimizer = tf.train.RMSPropOptimizer(learning_rate=0.0001, decay=0.9)
writer1 = tf.train.SummaryWriter("logs/value_network1", sess1.graph)
writer2 = tf.train.SummaryWriter("logs/value_network2", sess2.graph)
# prepare custom tensorboard summaries
episode_reward1 = tf.Variable(0.)
episode_reward2 = tf.Variable(0.)
tf.scalar_summary("Last 100 Episodes Average Episode Reward for player 1", episode_reward1)
tf.scalar_summary("Last 100 Episodes Average Episode Reward for player 2", episode_reward2)
summary_vars1 = [episode_reward1]
summary_vars2 = [episode_reward2]
summary_placeholders1 = [tf.placeholder("float") for i in range(len(summary_vars1))]
summary_placeholders2 = [tf.placeholder("float") for i in range(len(summary_vars2))]
summary_ops1 = [summary_vars1[i].assign(summary_placeholders1[i]) for i in range(len(summary_vars1))]
summary_ops2 = [summary_vars2[i].assign(summary_placeholders2[i]) for i in range(len(summary_vars2))]
# define policy neural network
state_dim = 9
def main_robotic_human():
game = Game(players=[
HumanPlayer(name="Fedor", symbol_class=X),
])
game.add_player(RoboticPlayer(symbol_class=O, gamestate=game))
game.run()
def main_robotic():
game = Game(players=[])
game.add_player(RoboticPlayer(symbol_class=X, gamestate=game))
game.add_player(RoboticPlayer(symbol_class=O, gamestate=game))
game.run()
def test_is_trio_equal(self):
self.assertFalse(Game.is_trio_equal('X', 'X', 'O'))
self.assertFalse(Game.is_trio_equal('X', 'O', 'X'))
self.assertFalse(Game.is_trio_equal('O', 'X', 'X'))
self.assertTrue(Game.is_trio_equal('X', 'X', 'X'))
def test_get_selected_cell(self):
expected_option = 1
game = Game(lambda n: expected_option, self.print_function)
game.board.clean_marks()
option = game.get_selected_cell()
self.assertEqual(option, expected_option)
