Start f new pathfinding, not working
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@ -3,6 +3,7 @@
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from random import randint
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from typing import Dict, Tuple
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from queue import PriorityQueue
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from ..interfaces import FightingEntity
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@ -95,26 +96,28 @@ class Player(FightingEntity):
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Use Dijkstra algorithm to calculate best paths
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for monsters to go to the player.
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"""
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queue = [(self.y, self.x)]
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queue = PriorityQueue()
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queue.put((0, (self.y, self.x)))
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visited = []
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distances = {(self.y, self.x): 0}
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predecessors = {}
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while queue:
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y, x = queue.pop(0)
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visited.append((y, x))
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if distances[(y, x)] >= max_distance:
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while not queue.empty:
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dist, (y, x) = queue.get()
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if dist >= max_distance or (y,x) in visited:
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continue
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visited.append((y, x))
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for diff_y, diff_x in [(1, 0), (-1, 0), (0, 1), (0, -1)]:
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new_y, new_x = y + diff_y, x + diff_x
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if not 0 <= new_y < self.map.height or \
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not 0 <= new_x < self.map.width or \
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not self.map.tiles[y][x].can_walk() or \
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(new_y, new_x) in visited or \
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(new_y, new_x) in queue:
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not self.map.tiles[y][x].can_walk():
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continue
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predecessors[(new_y, new_x)] = (y, x)
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distances[(new_y, new_x)] = distances[(y, x)] + 1
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queue.append((new_y, new_x))
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new_distance = dist + 1
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if not (new_y, new_x) in distances or \
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distances[(new_y, new_x)] > new_distance:
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predecessors[(new_y, new_x)] = (y, x)
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distances[(new_y, new_x)] = new_distance
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queue.put(new_distance, (new_y, new_x))
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self.paths = predecessors
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def save_state(self) -> dict:
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