Implement heuristics classes

This commit is contained in:
Yorick Barbanneau 2023-12-16 23:02:36 +01:00
parent 3784faeaed
commit a1812aaedf
3 changed files with 63 additions and 38 deletions

View file

@ -1,12 +1,30 @@
class ReversiHeuristic():
def __init__(self, logger, weight = [1, 2, 10, 20]):
class HeuristicEngine:
def __init__(self, logger, options):
self.logger = logger
self.weight = weight
self.options = options
self.logger.info("Heuristic engine {}, options:{}".format(
self.__class__.__name__,
self.options
))
def get():
raise NotImplementedError
class ScoreHeuristicEngine(HeuristicEngine):
def get(board):
return board.heuristique()
class WeightHeuristicEngine(HeuristicEngine):
def get(self, board):
size = board.get_board_size()
score = get_weight(board)
return score
def get_weight(self, board):
score = 0
weights = self._get_weight(size)
size = board.get_board_size()
weights = self._get_weight_array(size)
for pos_x in range(size):
for pos_y in range(size):
if board._board[pos_x][pos_y] == board._nextPlayer:
@ -14,25 +32,28 @@ class ReversiHeuristic():
else:
score -= weights[pos_x][pos_y]
return score
def _get_weight(self, size):
w = [[ 0 for _ in range(size)] for _ in range(size)]
def _get_weight_array(self, size):
w = [[ 0 for _ in range(size)] for _ in range(size)]
padding = size // 5
center = size // 2
for pos_y in range(size):
for pos_x in range(size):
# Elements in the corner
if pos_x in [0, size -1] and pos_y in [0,size - 1]:
w[pos_x][pos_y] = self.weight[3]
w[pos_x][pos_y] = self.weight[2]
# Elements on the border
elif pos_x in [0, size -1] or pos_y in [0, size -1]:
w[pos_x][pos_y] = self.weight[2]
w[pos_x][pos_y] = self.weight[1]
# Element the center
elif pos_x in range( int(size // 2 - 2), size // 2 + 2) and pos_y in range( size // 2 - 2, size // 2 + 2):
w[pos_x][pos_y] = self.weight[1]
else:
elif pos_x in range( center - padding, center + padding) and pos_y in range(center - padding, center + padding):
w[pos_x][pos_y] = self.weight[0]
return w
class FullHeuristicEngine(WeightHeuristicEngine):
def get(self, board):
return self.get_weight(board) + board.heuristique()