58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
from decisionTree.evaluate import evaluate
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from domain.entities.entity import Entity
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class World:
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def __init__(self, width: int, height: int) -> object:
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self.costs = [[1000 for j in range(height)] for i in range(width)]
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self.width = width
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self.height = height
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self.dust = [[[] for j in range(height)] for i in range(width)]
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self.obstacles = [[[] for j in range(height)] for i in range(width)]
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self.vacuum = None
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self.cat = None
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self.doc_station = None
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def add_entity(self, entity: Entity):
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if entity.type == "PEEL":
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self.dust[entity.x][entity.y].append(entity)
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elif entity.type == "EARRING":
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self.dust[entity.x][entity.y].append(entity)
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elif entity.type == "VACUUM":
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self.vacuum = entity
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elif entity.type == "DOC_STATION":
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self.doc_station = entity
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elif entity.type == "CAT":
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self.cat = entity
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self.obstacles[entity.x][entity.y].append(entity)
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else:
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self.obstacles[entity.x][entity.y].append(entity)
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def is_obstacle_at(self, x: int, y: int) -> bool:
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return bool(self.obstacles[x][y])
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def is_garbage_at(self, x: int, y: int) -> bool:
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if len(self.dust[x][y]) == 0:
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return False
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tmp = evaluate([self.dust[x][y][0].props])
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return bool(tmp[0])
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def is_docking_station_at(self, x: int, y: int) -> bool:
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return bool(self.doc_station.x == x and self.doc_station.y == y)
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def accepted_move(self, checking_x, checking_y):
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if (
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checking_x > self.width - 1
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or checking_y > self.height - 1
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or checking_x < 0
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or checking_y < 0
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):
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return False
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if self.is_obstacle_at(checking_x, checking_y):
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return False
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return True
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def get_cost(self, x, y):
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return self.costs[x][y] |