def play_for_player(player):
times = []
depths = []
for t in np.linspace(0.1, 3, 50):
player.set_game_params(ai_board.copy())
d = player.make_move(t)
times.append(t)
depths.append(d)
plt.scatter(times, depths)
plt.show()
ax6.set_ylabel('Best value returned')
ax6.set_title('Best value vs depth')
ax6.grid()
for name, color, player_class in zip(names, colors, player_classes):
times = []
depths = []
branches_pruned = []
heuristics_used = []
leaves_developed = []
max_values = []
for t in time_arr:
print(f"time: {round(t,2)}")
player = player_class()
player.set_game_params(ai_board.copy())
# C_CONSTANTS.MAX_GROUND_DISTANCE = player.max_ground_distance
d, max_val = player.make_move(t)
times.append(t)
depths.append(d)
max_values.append(max_val)
heuristics_used.append(player.heuristics_used)
leaves_developed.append(player.leaves_developed)
if name in ['AlphaBeta', 'OrderedAlphaBeta']:
branches_pruned.append(player.branches_pruned)
if name in ['AlphaBeta', 'OrderedAlphaBeta']: