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fixed hp directions

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This commit is contained in:
AleksandraMuczynska 2022-05-21 14:31:02 +02:00
parent 7ce2f0cc38
commit 94b4cbef58
1 changed files with 2 additions and 2 deletions
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4
learning/decision_tree.py
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@ -47,7 +47,7 @@ class DecisionTree:
opponents_parsed = []
for opponent in opponents:
opponents_parsed.append(
(manhattan_distance(current_knight.position, opponent.position), parse_hp(opponent.current_hp)))
(manhattan_distance(current_knight.position, opponent.position), parse_hp(opponent.health_bar.current_hp)))
prediction = self.get_prediction(tower_dist=distance_to_castle, tower_hp=castle.current_hp,
mob1_dist=monsters_parsed[0][0], mob1_hp=monsters_parsed[0][1],
@ -56,7 +56,7 @@ class DecisionTree:
opp2_dist=opponents_parsed[1][0], opp2_hp=opponents_parsed[1][1],
opp3_dist=opponents_parsed[2][0], opp3_hp=opponents_parsed[2][1],
opp4_dist=opponents_parsed[3][0], opp4_hp=opponents_parsed[3][1],
agent_hp=current_knight.current_hp)
agent_hp=current_knight.health_bar.current_hp)
print(prediction)
if prediction == 'tower': # castle...
return castle_neighbors(grid, castle_bottom_right_row=castle.position[0],