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added alpha-beta-pruning-functionality

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Rh17S15
2025-09-22 19:43:52 +02:00
parent e98d586445
commit aa39f7b538
1 changed files with 13 additions and 3 deletions
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16
minimax.py
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@@ -4,7 +4,8 @@ import random
class Minimax:
def minimax(self, current_field, is_maximizing, player1_char, player2_char):
def minimax(self, current_field, is_maximizing, player1_char, player2_char, alpha=float('-inf'),
beta=float('inf')):
checkwin = self.check_win(current_field, player1_char, player2_char)
if checkwin == (1, 1): # Draw
return 0, 0, 0
@@ -20,17 +21,26 @@ class Minimax:
for k in range(0, len(current_field), 2):
if current_field[j][k] == " ":
current_field[j][k] = player1_char if not is_maximizing else player2_char
score = self.minimax(current_field, not is_maximizing, player1_char, player2_char)[0]
score = self.minimax(current_field, not is_maximizing, player1_char, player2_char, alpha, beta)[
0]
current_field[j][k] = " "
if is_maximizing and score > best_score:
best_score = score
best_move = j, k
alpha = max(alpha, best_score)
if alpha >= beta:
break
elif not is_maximizing and score < best_score:
best_score = score
best_move = j, k
beta = min(beta, best_score)
if alpha >= beta:
break
if alpha >= beta:
break
# else:
if best_move is None:
return 0, -1, -1 # No available moves
else: