def create_slowgrid_from_list(self, l, size=4) -> FastGrid:
sut = Grid()
sut.map = l
sut.size = size
return sut
from random import randint from BaseAI_3 import BaseAI from Grid_3 import Grid from PlayerAI_3 import PlayerAI grid = Grid() grid.map = [[4, 64, 8, 4], [32, 8, 64, 8], [256, 512, 32, 4], [4, 8, 4, 2]] moves = [1, 2, 3, 4] print(moves) moves[2] = 7 print(moves) print(len(grid.getAvailableCells())) print(grid.map) print(PlayerAI.is_state_terminal(grid, 'min'))
current_value = self.__log2(grid.map[row][current_col])
next_value = self.__log2(
grid.map[row][grid.size -
1 if next_col == grid.size else next_col])
if (current_value < next_value):
monotonicity[RIGHT] += current_value - next_value
else:
monotonicity[LEFT] += next_value - current_value
current_col = next_col
return max(monotonicity[UP], monotonicity[DOWN]) + max(
monotonicity[LEFT], monotonicity[RIGHT])
if __name__ == '__main__':
from PlayerAI_3 import PlayerAI
from Grid_3 import Grid
player_ai = PlayerAI()
grid = Grid()
grid.map = [[0, 0, 2, 4], [0, 0, 2, 4], [0, 2, 2, 2], [0, 2, 2, 1024]]
# Test case for PlayerAI.__maximize:
utility = player_ai._PlayerAI__maximize(grid, 3, 0, 0)
print("[Maximized Utility]: {}".format(utility))
# Test case for PlayerAI.__eval:
utility = player_ai._PlayerAI__eval(grid)
print("[Utility]: {}".format(utility))
def to_slowgrid(self):
g = Grid()
g.map = Util.array_to_2dlist(self.board)
return g
def find_next(self, m, i, j, right=True):
if right:
j = j + 1
while j < self.grid.size and m[i, j] == 0:
j += 1
return m[i, j] if j < self.grid.size else None
else:
i = i + 1
while i < self.grid.size and m[i, j] == 0:
i += 1
return m[i, j] if i < self.grid.size else None
if __name__ == '__main__':
g = Grid()
g.map = [[4, 0, 0, 0], [64, 16, 4, 0], [256, 128, 32, 8],
[512, 256, 64, 16]]
displayer = Displayer()
displayer.display(g)
s = State(g, 2, 0, None, 0, 0)
print(s.smoothness())
print(s.eval())
testAI = PlayerAI()
print(actionDic[testAI.getMove(g)])
g.move(3)
displayer.display(g)
s1 = State(g, 2, 0, None, 0, 0)
print(s1.eval())
# for child in s.get_children_min():
# print(child.grid.map)