Start f new pathfinding, not working
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@ -3,6 +3,7 @@
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from squirrelbattle.interfaces import Map
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from .display import Display
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from squirrelbattle.entities.player import Player
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class MapDisplay(Display):
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@ -22,6 +23,24 @@ class MapDisplay(Display):
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for e in self.map.entities:
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self.addstr(self.pad, e.y, self.pack.tile_width * e.x,
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self.pack[e.name.upper()], self.color_pair(2))
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players = [ p for p in self.map.entities if isinstance(p,Player) ]
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player = players[0] if len(players) > 0 else None
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if player:
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for x in range(self.map.width):
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for y in range(self.map.height):
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if (y,x) in player.paths:
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deltay, deltax = (y - player.path[(y, x)][0],
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x - player.path[(y, x)][1])
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if (deltay, deltax) == (-1, 0):
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character = '╹'
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elif (deltay, deltax) == (1, 0):
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character = '╻'
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elif (deltay, deltax) == (0, -1):
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character = '╺'
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else:
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character = '╸'
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self.addstr(self.pad, y, self.pack.tile_width * x,
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character, self.color_pair(1))
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def display(self) -> None:
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y, x = self.map.currenty, self.pack.tile_width * self.map.currentx
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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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