Refactor map generator package
- Move room generators to map.generators.room - Move corridor generators to map.generators.corridor Generators have a generate() method that generates the things they place, and an apply() method that applies their objects to a grid of tiles.
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7 changed files with 391 additions and 262 deletions
174
erynrl/map/generator/room.py
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174
erynrl/map/generator/room.py
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import random
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from dataclasses import dataclass
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from typing import List, Optional
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import numpy as np
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import tcod
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from ... import log
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from ...geometry import Direction, Point, Rect, Size
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from ..room import Room, RectangularRoom
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from ..tile import Empty, Floor, Wall
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class RoomGenerator:
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'''Abstract room generator class.'''
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def __init__(self, *, size: Size):
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self.size = size
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self.rooms: List[Room] = []
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def generate(self) -> bool:
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'''
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Generate a list of rooms.
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Subclasses should implement this and fill in their specific map
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generation algorithm.
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Returns
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-------
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np.ndarray
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A two-dimensional array of tiles. Dimensions should match the given size.
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'''
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raise NotImplementedError()
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def apply(self, tiles: np.ndarray):
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'''
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Apply the generated list of rooms to an array of tiles. Subclasses must implement this.
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Arguments
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---------
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tiles: np.ndarray
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The array of tiles to update.
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'''
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raise NotImplementedError()
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class BSPRoomGenerator(RoomGenerator):
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'''Generate a rooms-and-corridors style map with BSP.'''
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@dataclass
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class Configuration:
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'''Configuration parameters for BSPRoomGenerator.'''
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minimum_room_size: Size
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maximum_room_size: Size
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DefaultConfiguration = Configuration(
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minimum_room_size=Size(7, 7),
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maximum_room_size=Size(20, 20),
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)
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def __init__(self, *, size: Size, config: Optional[Configuration] = None):
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super().__init__(size=size)
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self.configuration = config if config else BSPRoomGenerator.DefaultConfiguration
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self.rng: tcod.random.Random = tcod.random.Random()
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self.rooms: List[RectangularRoom] = []
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self.tiles: Optional[np.ndarray] = None
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def generate(self) -> bool:
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if self.rooms:
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return True
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minimum_room_size = self.configuration.minimum_room_size
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maximum_room_size = self.configuration.maximum_room_size
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# Recursively divide the map into squares of various sizes to place rooms in.
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bsp = tcod.bsp.BSP(x=0, y=0, width=self.size.width, height=self.size.height)
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# Add 2 to the minimum width and height to account for walls
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gap_for_walls = 2
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bsp.split_recursive(
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depth=4,
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min_width=minimum_room_size.width + gap_for_walls,
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min_height=minimum_room_size.height + gap_for_walls,
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max_horizontal_ratio=1.1,
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max_vertical_ratio=1.1
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)
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# Generate the rooms
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rooms: List['RectangularRoom'] = []
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room_attrname = f'{__class__.__name__}.room'
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for node in bsp.post_order():
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node_bounds = self.__rect_from_bsp_node(node)
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if node.children:
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continue
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log.MAP.debug('%s (room) %s', node_bounds, node)
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# Generate a room size between minimum_room_size and maximum_room_size. The minimum value is
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# straight-forward, but the maximum value needs to be clamped between minimum_room_size and the size of
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# the node.
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width_range = (
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minimum_room_size.width,
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min(maximum_room_size.width, max(
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minimum_room_size.width, node.width - 2))
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)
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height_range = (
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minimum_room_size.height,
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min(maximum_room_size.height, max(
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minimum_room_size.height, node.height - 2))
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)
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size = Size(self.rng.randint(*width_range),
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self.rng.randint(*height_range))
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origin = Point(node.x + self.rng.randint(1, max(1, node.width - size.width - 1)),
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node.y + self.rng.randint(1, max(1, node.height - size.height - 1)))
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bounds = Rect(origin, size)
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log.MAP.debug('`-> %s', bounds)
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room = RectangularRoom(bounds)
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setattr(node, room_attrname, room)
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rooms.append(room)
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if not hasattr(node.parent, room_attrname):
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setattr(node.parent, room_attrname, room)
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elif random.random() < 0.5:
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setattr(node.parent, room_attrname, room)
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# Pass up a random child room so that parent nodes can connect subtrees to each other.
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parent = node.parent
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if parent:
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node_room = getattr(node, room_attrname)
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if not hasattr(node.parent, room_attrname):
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setattr(node.parent, room_attrname, node_room)
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elif random.random() < 0.5:
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setattr(node.parent, room_attrname, node_room)
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self.rooms = rooms
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return True
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def apply(self, tiles: np.ndarray):
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for room in self.rooms:
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for wall_position in room.walls:
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if tiles[wall_position.x, wall_position.y] != Floor:
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tiles[wall_position.x, wall_position.y] = Wall
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bounds = room.bounds
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# The range of a numpy array slice is [a, b).
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floor_rect = bounds.inset_rect(top=1, right=1, bottom=1, left=1)
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tiles[floor_rect.min_x:floor_rect.max_x + 1,
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floor_rect.min_y:floor_rect.max_y + 1] = Floor
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for y in range(self.size.height):
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for x in range(self.size.width):
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pos = Point(x, y)
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if tiles[x, y] != Floor:
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continue
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neighbors = (pos + direction for direction in Direction.all())
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for neighbor in neighbors:
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if tiles[neighbor.x, neighbor.y] != Empty:
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continue
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tiles[neighbor.x, neighbor.y] = Wall
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def __rect_from_bsp_node(self, node: tcod.bsp.BSP) -> Rect:
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'''Create a Rect from the given BSP node object'''
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return Rect(Point(node.x, node.y), Size(node.width, node.height))
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