class Player:
def __init__(self, player):
"""
Called once at the beginning of a game to initialise this player.
Set up an internal representation of the game state.
The parameter player is the string "upper" (if the instance will
play as Upper), or the string "lower" (if the instance will play
as Lower).
"""
if player == "upper":
self.us = "UPPER"
self.opponent = "LOWER"
else:
self.us = "LOWER"
self.opponent = "UPPER"
empty_start = {'s': [], 'p': [], 'r': []}
self.own_board = Board(empty_start, empty_start, 9, 9, 0, None)
self.ai = SillyMoveChooserAI(self.us)
def action(self):
"""
Called at the beginning of each turn. Based on the current state
of the game, select an action to play this turn.
"""
# put your code here
return self.ai.choose_next_move(self.own_board)
def update(self, opponent_action, player_action):
"""
Called at the end of each turn to inform this player of both
players' chosen actions. Update your internal representation
of the game state.
The parameter opponent_action is the opponent's chosen action,
and player_action is this instance's latest chosen action.
"""
if self.us == "UPPER":
self.own_board = self.own_board.apply_turn2(
player_action, opponent_action)
else:
self.own_board = self.own_board.apply_turn2(
opponent_action, player_action)
print("AFTER UPDATE:")
print(self.own_board)
def __init__(self, player):
"""
Called once at the beginning of a game to initialise this player.
Set up an internal representation of the game state.
The parameter player is the string "upper" (if the instance will
play as Upper), or the string "lower" (if the instance will play
as Lower).
"""
if player == "upper":
self.us = "UPPER"
self.opponent = "LOWER"
else:
self.us = "LOWER"
self.opponent = "UPPER"
empty_start = {'s': [], 'p': [], 'r': []}
self.own_board = Board(empty_start, empty_start, 9, 9, 0, None)
self.ai = MCTSNode(self.own_board, self.us, None, None)
def part1_to_part2(board):
thrown_uppers = {'s': [], 'p': [], 'r': []}
thrown_lowers = {'s': [], 'p': [], 'r': []}
for key, value in board.items():
if value == "R":
thrown_uppers['r'].append(key)
elif value == "S":
thrown_uppers['s'].append(key)
elif value == "P":
thrown_uppers['p'].append(key)
elif value == "r":
thrown_lowers['r'].append(key)
elif value == "s":
thrown_lowers['s'].append(key)
elif value == "p":
thrown_lowers['p'].append(key)
return Board(thrown_uppers, thrown_lowers, 0, 0, 0, None)
class Player:
def __init__(self, player):
"""
Called once at the beginning of a game to initialise this player.
Set up an internal representation of the game state.
The parameter player is the string "upper" (if the instance will
play as Upper), or the string "lower" (if the instance will play
as Lower).
"""
if player == "upper":
self.us = "UPPER"
self.opponent = "LOWER"
else:
self.us = "LOWER"
self.opponent = "UPPER"
empty_start = {'s': [], 'p': [], 'r': []}
self.own_board = Board(empty_start, empty_start, 9, 9, 0, None)
self.ai = MCTSNode(self.own_board, self.us, None, None)
def action(self):
"""
Called at the beginning of each turn. Based on the current state
of the game, select an action to play this turn.
"""
# book learnt moves
#if self.own_board.turn <= 4:
# return self.opening(self.us, self.own_board.turn)
# put your code here
num_sims = len(self.ai.simultaneous_moves) * 8
if self.us == "UPPER":
node = self.ai.best_action(num_sims)
return node.last_action[0]
else:
node = self.ai.best_action(num_sims)
return node.last_action[1]
return move
def update(self, opponent_action, player_action):
"""
Called at the end of each turn to inform this player of both
players' chosen actions. Update your internal representation
of the game state.
The parameter opponent_action is the opponent's chosen action,
and player_action is this instance's latest chosen action.
"""
if self.us == "UPPER":
self.own_board = self.own_board.apply_turn2(
player_action, opponent_action)
# Make a new root node with the updated board. This is the AI for the next move
self.ai = MCTSNode(self.own_board, self.us, None, None)
else:
self.own_board = self.own_board.apply_turn2(
opponent_action, player_action)
# Make a new root node with the updated board. This is the AI for the next move
self.ai = MCTSNode(self.own_board, self.us, None, None)
#print("AFTER UPDATE:")
#print(self.own_board)
# put your code here
""" opening moves hardcoded """
"""