From 4c905e3aa2920bf528eaf51d55caea73957a9fa5 Mon Sep 17 00:00:00 2001
From: Simon Forman <sforman@hushmail.com>
Date: Sat, 13 Apr 2024 12:01:12 -0700
Subject: [PATCH] A little exploration of proc gen.

---
 space.gz             | Bin 0 -> 6677 bytes
 terrain_automaton.py |  63 +++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 63 insertions(+)
 create mode 100644 space.gz
 create mode 100644 terrain_automaton.py

diff --git a/space.gz b/space.gz
new file mode 100644
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diff --git a/terrain_automaton.py b/terrain_automaton.py
new file mode 100644
index 0000000..62487cd
--- /dev/null
+++ b/terrain_automaton.py
@@ -0,0 +1,63 @@
+'''
+Cellular Automaton-based terrain generation adapted from:
+https://codewithgolu.com/python/procedural-generation-of-game-content-with-python-a-comprehensive-guide/
+Produces goo like this:
+###################        #######          ######         ###########   ###########     ######                    ###  #######       >
+#######################   #######    #      ######         ###################  ####    #######                   #############       >
+###############################     ###     #######       ##################     ##     ######                   ###############      >
+#################  ###########     ####    ########       ################       ##     ####                     ####  ##########     >
+#####  ####  ###    ########     #######  #########        #############         ##      ##                      ###    #########     >
+####                #######     ###################        ###########          ####                            ####     #######      >
+###                 #######    ####################        ##########          ######        ##                 #####    ######       >
+##                  ########  ###########      ####       #####                 #####       ####                ######   #####        >
+                    ####################        ###       ####                   ####      ######              ########   ####        >
+            ###    ####################         ###       ####                    ###      #########       ############    ####       >
+           #####   ###################          ###        ####                    ##     ###########     #############     ####      >
+          ######  ####################          ###        ####                    ###    #############  ##############      #########>
+    ############  ####################           ###      ######                  ####   ###############################      ########>
+################  #########     #######          ####     ######                #####    ###############################       #######>
+################   #######       ######          ####      ####                #####     ###############################       #######>
+#####     ######    ######       #####           ####                          ####       #######################  ####         ######>
+##         ####      ####        ####           #####                          ####       ############   ########               ###  #>
+            ###                   ##            ######                         ####      #####  #####        ####              ###    >
+             ###           ##                   ######             ##           ##       ####                 ###      ##     ####    >
+       ##    ####   ##   #####                   ####   ##        #####                 ####                  ####    ####   ######  #>
+      ####  ######################               ###   ####       ######                ###                  #############   #########>
+  ##################################            ####   ####        #####                ##                  ##############    ########>
+'''
+import random
+
+# Set the size of the terrain
+w, h = size = (256, 256)
+
+# Set the initial terrain state to random values
+terrain = [[random.randint(0, 1) for _ in range(w)] for _ in range(h)]
+
+# Define the cellular automata rules
+def cellular_automata_step(terrain):
+    new_terrain = [[0] * w for _ in range(h)]
+
+    for x in range(1, w - 1):
+        for y in range(1, h - 1):
+            if sum(neighbors(terrain, x, y)) >= 5:
+                new_terrain[y][x] = 1
+
+    return new_terrain
+
+
+def neighbors(terrain, x, y):
+    for i in range(y - 1, y + 2):
+        for j in range(x - 1, x + 2):
+            try:
+                n = terrain[i][j]
+            except IndexError:
+                continue
+            yield n
+
+
+# Apply the cellular automata rules
+for i in range(10):
+    terrain = cellular_automata_step(terrain)
+
+for row in terrain:
+    print(''.join(' #'[n] for n in row)