69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
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from __future__ import annotations
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from typing import List, Tuple, TYPE_CHECKING
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import numpy as np # type: ignore
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import tcod
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from actions import Action, MeleeAction, MovementAction, WaitAction
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from components.base_components import BaseComponent
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if TYPE_CHECKING:
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from entity import Actor
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class BaseAI(Action, BaseComponent):
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entity: Actor
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def perform(self) -> None:
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raise NotImplementedError()
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def get_path_to(self, dest_x: int, dest_y: int) -> List[Tuple[int, int]]:
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"""computer and return path"""
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cost = np.array(self.entity.gamemap.tiles["walkable"], dtype=np.int8)
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for entity in self.entity.gamemap.entities:
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# Check that an enitiy blocks movement and the cost isn't zero (blocking.)
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if entity.blocks_movement and cost[entity.x, entity.y]:
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# Add to the cost of a blocked position.
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# A lower number means more enemies will crowd behind each other in
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# hallways. A higher number means enemies will take longer paths in
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# order to surround the player.
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cost[entity.x, entity.y] += 10
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graph = tcod.path.SimpleGraph(cost=cost, cardinal=2, diagonal=3)
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pathfinder = tcod.path.Pathfinder(graph)
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pathfinder.add_root((self.entity.x, self.entity.y))
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path: List[List[int]] = pathfinder.path_to((dest_x, dest_y))[1:].tolist()
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return [(index[0], index[1]) for index in path]
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class HostileEnemy(BaseAI):
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def __init__(self, entity: Actor):
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super().__init__(entity)
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self.path: List[Tuple[int, int]] = []
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def perform(self) -> None:
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target = self.engine.player
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dx = target.x - self.entity.x
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dy = target.y - self.entity.y
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distance = max(abs(dx), abs(dy))
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if self.engine.gamemap.visible[self.entity.x, self.entity.y]:
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if distance <= 1:
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return MeleeAction(self.entity, dx, dy).perform()
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self.path = self.get_path_to(target.x, target.y)
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if self.path:
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dest_x, dest_y = self.path.pop(0)
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return MovementAction(
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self.entity,
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dest_x - self.entity.x,
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dest_y - self.entity.y,
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).perform()
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return WaitAction(self.entity).perform()
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