def test_try_move_on_valid_column(self):
board = Board()
for i in range(board.width):
col = board.try_move(i)
# expected position is bottom of board
assert col == board.height - 1
def test__build_winning_zones_map(self):
board = Board()
zones_map = board._build_winning_zones_map()
default_seven_by_size_zones_map = [
[[0, 24, 45], [4, 24, 25, 49], [8, 24, 25, 26, 53],
[12, 24, 25, 26, 60], [16, 25, 26, 64], [20, 26, 68]],
[[0, 1, 27, 46], [4, 5, 27, 28, 45, 50],
[8, 9, 27, 28, 29, 49, 54, 60], [12, 13, 27, 28, 29, 53, 59, 64],
[16, 17, 28, 29, 63, 68], [20, 21, 29, 67]],
[[0, 1, 2, 30, 47], [4, 5, 6, 30, 31, 46, 51, 60],
[8, 9, 10, 30, 31, 32, 45, 50, 55, 59, 64],
[12, 13, 14, 30, 31, 32, 49, 54, 58, 63, 68],
[16, 17, 18, 31, 32, 53, 62, 67], [20, 21, 22, 32, 66]],
[[0, 1, 2, 3, 33, 48, 60], [4, 5, 6, 7, 33, 34, 47, 52, 59, 64],
[8, 9, 10, 11, 33, 34, 35, 46, 51, 56, 58, 63, 68],
[12, 13, 14, 15, 33, 34, 35, 45, 50, 55, 57, 62, 67],
[16, 17, 18, 19, 34, 35, 49, 54, 61, 66],
[20, 21, 22, 23, 35, 53, 65]],
[[1, 2, 3, 36, 59], [5, 6, 7, 36, 37, 48, 58, 63],
[9, 10, 11, 36, 37, 38, 47, 52, 57, 62, 67],
[13, 14, 15, 36, 37, 38, 46, 51, 56, 61, 66],
[17, 18, 19, 37, 38, 50, 55, 65], [21, 22, 23, 38, 54]],
[[2, 3, 39, 58], [6, 7, 39, 40, 57, 62],
[10, 11, 39, 40, 41, 48, 61, 66],
[14, 15, 39, 40, 41, 47, 52, 65], [18, 19, 40, 41, 51, 56],
[22, 23, 41, 55]],
[[3, 42, 57], [7, 42, 43, 61], [11, 42, 43, 44, 65],
[15, 42, 43, 44, 48], [19, 43, 44, 52], [23, 44, 56]]
]
assert zones_map == default_seven_by_size_zones_map
def test_valid_move_on_valid_move(self):
board = Board()
col = 2
# at start, a peice should be placed on the bottom
assert board.valid_move(board.height - 1, col)
assert not board.valid_move(board.height - 2, col)
def test_terminal_on_finished_game(self):
board = Board()
# A connect four game is considered finished when all columns
# are full. In the Board class, this is indicated by non-zero values
# in the first row
for i in range(board.width):
board.board[0][i] = 1
assert board.terminal()
def test_try_move_on_invalid_column(self):
board = Board()
column_to_fill = 1
for i in range(board.height):
board.board[i][column_to_fill] = 1
# Placement in column should now fail
assert board.try_move(column_to_fill) == -1
# Other columns should still be valid
assert board.try_move(column_to_fill + 1) >= 0
def test_legal_moves(self):
board = Board()
# fill rows 0, 3, and 5
for i in range(board.height):
board.board[i][0] = board.board[i][3] = board.board[i][5] = 1
legal_columns = board.legal_moves()
expected = [1, 2, 4, 6]
for i, col in enumerate(legal_columns):
assert expected[i] == col
def evaluateBoardState(self, board: Board):
"""
Your evaluation function should look at the current state and return a score for it.
As an example, the random agent provided works as follows:
If the opponent has won this game, return -1.
If we have won the game, return 1.
If neither of the players has won, return a random number.
"""
"""
These are the variables and functions for board objects which may be helpful when creating your Agent.
Look into board.py for more information/descriptions of each, or to look for any other definitions which may help you.
Board Variables:
board.width
board.height
board.last_move
board.num_to_connect
board.winning_zones
board.score_array
board.current_player_score
Board Functions:
get_cell_value(row, col)
try_move(col)
valid_move(row, col)
valid_moves()
terminal(self)
legal_moves()
next_state(turn)
winner()
"""
evaluation_value = 0
for row, col in board.valid_moves():
next_board = board.next_state(1, col)
horizonatal_lines = self.get_horizontal_lines(next_board)
vertical_lines = self.get_vertical_lines(next_board)
diagonal_down_lines = self.get_diagonal_down_lines(next_board)
diagonal_up_lines = self.get_diagonal_up_lines(next_board)
lines = horizonatal_lines + vertical_lines + diagonal_down_lines + diagonal_up_lines
evaluation_value += self.calc_line_weights(lines)
# col = last_move[1]
# col_val = 8
# if col == 0 or col == 6:
# col_val = 0
# if col == 1 or col == 5:
# col_val = 1
# if col == 2 or col == 4:
# col_val = 2
return evaluation_value
class TestNode:
board = Board()
def test_add_child(self):
node = Node(self.board)
child_state = self.board # TODO really should be a different board state
move = 3
node.add_child(child_state, move)
assert len(node.children) is 1
assert type(node.children[0]) is Node
assert len(node.children_move) is 1
assert node.children_move[0] is 3
def test_update(self):
node = Node(self.board)
# initial values
assert 0.0 == node.reward
assert 1 == node.visits
node.update(3.3)
assert 3.3 == node.reward
assert 2 == node.visits
node.update(0.1)
assert 3.4 == node.reward
assert 3 == node.visits
def __init__(self,
player_one,
player_two,
board_height,
board_width,
fast_play=False,
auto_close=False):
self.player_one = player_one
self.player_two = player_two
self.current_player = self.player_one
self.player_one.id = self.PLAYER_ONE_ID
self.player_two.id = self.PLAYER_TWO_ID
self.board = Board(height=board_height, width=board_width)
self.fast_play = fast_play
self.exit_on_game_end = auto_close
self.metrics = {'num_moves': 0, 'all_moves': []}
def test_player_token_locations():
player_id = "hello"
player = MockPlayer(player_id)
board = Board()
board.board[1][1] = player_id
board.board[2][1] = player_id
board.board[2][2] = "not player id"
board.board[2][4] = player_id
board.board[5][5] = player_id
expected = [(1, 1), (2, 1), (2, 4), (5, 5)]
assert expected == list(util.player_token_locations(board, player))
def getMovesinTime(board, maxTime):
maxTime = maxTime / 1000.0
result = []
start = getTime()
# board = connectfour.board.Board()
# board.reset()
avaialblePositions = Board.getPossibleBoardPositions(board)
sortedPositions = getSortedPositions(avaialblePositions)
for i in sortedPositions:
p1 = players.negamax.NegamaxPlayer(2)
# # print "==============="
# # print(i[0])
# # print "==============="
#
i[0].playerTurn = 1
move = p1.getMove(i[0], 1)
# print "Time Taken : " + str((getTime() - start) * 1000)
if (getTime() - start < maxTime):
result.append((i[0], move))
else:
break
return result
def reset(self):
self.board = Board(height=self.board.height, width=self.board.width)
self.current_player = self.player_one
def test_terminal_on_unfinished_game(self):
board = Board()
assert not board.terminal()
board.board[1][1] = 1
assert not board.terminal()
def test__num_of_winning_zones(self):
board = Board()
expected = 69
assert expected == board._num_of_winning_zones(num_to_connect=4)
from connectfour.agents.agent_student import StudentAgent
from connectfour.board import Board
import numpy as np
agent_student = StudentAgent("Sample Name")
agent_student.id = 1
agent_student2 = StudentAgent("Agent 2")
agent_student2.id = 2
simple_board = Board()
# for j in range(1):
# for i in range(2):
# simple_board = simple_board.next_state(agent_student.id, i)
# simple_board = simple_board.next_state(agent_student.id, 3)
# simple_board = simple_board.next_state(agent_student.id, 2)
#
# simple_board = simple_board.next_state(agent_student.id % 2 + 1, 3)
# simple_board = simple_board.next_state(agent_student.id % 2 + 1, 2)
# simple_board = simple_board.next_state(agent_student.id, 3)
# simple_board = simple_board.next_state(agent_student.id, 3)
simple_board.board = [[0, 0, 1, 1, 2, 0, 2], [0, 0, 2, 1, 2, 0, 1],
[0, 1, 2, 2, 1, 0, 2], [1, 2, 1, 1, 1, 0, 1],
[2, 1, 2, 1, 2, 0, 2], [2, 2, 2, 1, 2, 1, 1]]
print(np.matrix(simple_board.board))
print("Player 1:")
#print(agent_student.evaluateBoardState(simple_board))
