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bug fix

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This commit is contained in:
korzepadawid 2022-06-05 10:57:20 +02:00
parent 59a8c49b2d
commit 3f68f4c8a6
2 changed files with 8 additions and 7 deletions
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11
learning/decision_tree.py
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@ -34,7 +34,7 @@ class DecisionTree:
self.model = DecisionTreeClassifier(criterion='entropy')
self.model.fit(self.train_set.values, self.goals)
def predict_move(self, grid: List[List[str]], current_knight: Knight, castle: Castle, monsters: List[Monster],
def predict_move(self, grid: List[List[int]], current_knight: Knight, castle: Castle, monsters: List[Monster],
opponents: List[Knight]) -> \
List[Tuple[int, int]]:
distance_to_castle = manhattan_distance(current_knight.position, castle.position)
@ -42,14 +42,15 @@ class DecisionTree:
monsters_parsed = []
for monster in monsters:
monsters_parsed.append((manhattan_distance(current_knight.position, monster.position), parse_hp(
monster.current_hp)))
monster.health_bar.current_hp)))
opponents_parsed = []
for opponent in opponents:
opponents_parsed.append(
(manhattan_distance(current_knight.position, opponent.position), parse_hp(opponent.health_bar.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,
prediction = self.get_prediction(tower_dist=distance_to_castle, tower_hp=castle.health_bar.current_hp,
mob1_dist=monsters_parsed[0][0], mob1_hp=monsters_parsed[0][1],
mob2_dist=monsters_parsed[1][0], mob2_hp=monsters_parsed[1][1],
opp1_dist=opponents_parsed[0][0], opp1_hp=opponents_parsed[0][1],
@ -57,7 +58,7 @@ class DecisionTree:
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.health_bar.current_hp)
print(prediction)
print(f'Prediction = {prediction}')
if prediction == 'tower': # castle...
return castle_neighbors(grid, castle_bottom_right_row=castle.position[0],
castle_bottom_right_col=castle.position[1])

4
logic/level.py
View File

@ -100,8 +100,8 @@ class Level:
goal_list = self.decision_tree.predict_move(grid=self.map, current_knight=current_knight,
monsters=self.list_monsters,
opponents=self.list_knights_red
if current_knight.team_alias() == 'k_r' else self.list_knights_blue,
opponents=self.list_knights_blue
if current_knight.team_alias() == 'k_r' else self.list_knights_red,
castle=self.list_castles[0])
if len(goal_list) == 0: