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Add cellular atomata to the map generator finally!

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Use the new map generator mechanism to generate rooms via cellular
atomata. Create a new CellularAtomatonRoomMethod class that uses
the Cellular Atomton class to create a room. Add a FreefromRoom class
that draws a room based on an ndarray of tiles.

Along the way I discovered I have misunderstood how numpy arrays
organize rows and columns. The numpy array creation routines take an
'order' argument that specifies whether arrays should be in C order (row
major) or Fortran order (column major). Fortran order lets you index
arrays with a more natural [x, y] coordinate order, and that's what the
tutorials I've read have shown. So I've been using that. When I was
developing the Cellular Atomaton, I wrote some code that assumed row-
major order. I think I want to move everything to row-major / C-style,
but that will take a bit more time.
This commit is contained in:
Eryn Wells 2023-03-05 18:40:02 -08:00
parent e6327deeef
commit 635aea5e3b
4 changed files with 111 additions and 27 deletions
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45
erynrl/map/generator/cellular_atomata.py
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@ -2,14 +2,16 @@
import random
from dataclasses import dataclass
from typing import Optional
from typing import Optional, TYPE_CHECKING
import numpy as np
from ... import log
from ...geometry import Point, Rect
from ..grid import make_grid
from ..tile import Floor, Wall
from ...geometry import Point, Rect, Vector
from ..tile import Empty, Floor, Wall, tile_datatype
if TYPE_CHECKING:
from .. import Map
class CellularAtomataMapGenerator:
@ -38,6 +40,7 @@ class CellularAtomataMapGenerator:
Initializer
### Parameters
`bounds` : `Rect`
A rectangle representing the bounds of the cellular atomaton
`config` : `Optional[Configuration]`
@ -46,7 +49,7 @@ class CellularAtomataMapGenerator:
'''
self.bounds = bounds
self.configuration = config if config else CellularAtomataMapGenerator.Configuration()
self.tiles = make_grid(bounds.size)
self.tiles = np.full((bounds.size.height, bounds.size.width), fill_value=Empty, dtype=tile_datatype, order='C')
def generate(self):
'''
@ -59,14 +62,23 @@ class CellularAtomataMapGenerator:
self._fill()
self._run_atomaton()
def apply(self, map: 'Map'):
origin = self.bounds.origin
for y, x in np.ndindex(self.tiles.shape):
map_pt = origin + Vector(x, y)
tile = self.tiles[y, x]
if tile == Floor:
map.tiles[map_pt.numpy_index] = tile
def _fill(self):
fill_percentage = self.configuration.fill_percentage
for y, x in np.ndindex(self.tiles.shape):
self.tiles[x, y] = Floor if random.random() < fill_percentage else Wall
self.tiles[y, x] = Floor if random.random() < fill_percentage else Empty
def _run_atomaton(self):
alternate_tiles = make_grid(self.bounds.size)
alternate_tiles = np.full((self.bounds.size.height, self.bounds.size.width),
fill_value=Empty, dtype=tile_datatype, order='C')
number_of_rounds = self.configuration.number_of_rounds
if number_of_rounds < 1:
@ -100,21 +112,22 @@ class CellularAtomataMapGenerator:
# Start with 1 because the point is its own neighbor
number_of_neighbors = 1
for neighbor in pt.neighbors:
if neighbor not in self.bounds:
continue
try:
if from_tiles[neighbor.y, neighbor.x] == Floor:
number_of_neighbors += 1
except IndexError:
pass
if from_tiles[neighbor.x, neighbor.y] == Floor:
number_of_neighbors += 1
tile_is_alive = from_tiles[pt.x, pt.y] == Floor
idx = (pt.y, pt.x)
tile_is_alive = from_tiles[idx] == Floor
if tile_is_alive and number_of_neighbors >= 5:
# Survival
to_tiles[pt.x, pt.y] = Floor
to_tiles[idx] = Floor
elif not tile_is_alive and number_of_neighbors >= 5:
# Birth
to_tiles[pt.x, pt.y] = Floor
to_tiles[idx] = Floor
else:
to_tiles[pt.x, pt.y] = Wall
to_tiles[idx] = Empty
def __str__(self):
return '\n'.join(''.join(chr(i['light']['ch']) for i in row) for row in self.tiles)