def add_tile(self):
# pick an empty tile and put a 2 (sometimes 4) there.
empties = find_empty_positions(self.mat)
new_pos = empties[self.rand_mod(len(empties))]
new_value = 2 if self.rand_mod(10) > 0 else 4
self.mat = set_value(self.mat, new_pos, new_value)
return self.mat
def my_score(matrix):
num_empty = len(find_empty_positions(matrix))
high_val, high_pos = max(
max( (val, (i,j)) for j,val in enumerate(row) )
for i,row in enumerate(matrix)
)
# best_in_corner = (
# (high_pos[0] == 0 or high_pos[0] == len(matrix)-1) and
# (high_pos[1] == 0 or high_pos[1] == len(matrix)-1)
# )
return log2(get_adjacent_goodness(matrix)+1) * (num_empty + 1) * score(matrix)
def get_fills_and_num_samples(mat, max_samples):
'''
>>> list(get_fills_and_num_samples( ((0,4,4,4),(4,4,4,4),(4,4,4,4),(4,4,4,4)), 100))
[(((0, 0), 4), 10), (((0, 0), 2), 90)]
>>> list(get_fills_and_num_samples( ((0,4,4,4),(4,4,0,4),(4,4,4,4),(4,4,4,4)), 200))
[(((1, 2), 4), 10), (((1, 2), 2), 90), (((0, 0), 2), 90), (((0, 0), 4), 10)]
'''
empty_positions = find_empty_positions(mat)
fills_and_weights = ([((pos, 2), 9) for pos in empty_positions] +
[((pos, 4), 1) for pos in empty_positions])
random.shuffle(fills_and_weights)
fills = [f_w[0] for f_w in fills_and_weights]
weights = [f_w[1] for f_w in fills_and_weights]
num_samples = distribute(max_samples, weights)
return zip(fills, num_samples)
def my_score(matrix):
return len(find_empty_positions(matrix)) * 10000 + score(matrix)