Day 12: Garden Groups

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[-] Quant@programming.dev 2 points 1 day ago

I found multidimensional markers for partition to work really well for finding the fields: Areas ← ⊜□:⇡△.+1⍜♭⊛ It just groups the other array's contents according to adjacent markers, horizontally and vertically. Took me quite a bit to figure out what's actually happening in the example in the documentation ^^'

[-] mykl@lemmy.world 2 points 1 day ago* (last edited 1 day ago)

Ooh, interesting, I'll have to give that a try. Thanks!

(edit) Wow, that replaced my three lines of overly complex code without a hitch. classify is an operator I never really got the point of before. Beautiful.

Data ← ⊜∘⊸≠@\n "AAAA\nBBCD\nBBCC\nEEEC"
N₄     ← [¯1_0 1_0 0_¯1 0_1]               # Four orthogonal neighbours.
Fences ← /+≡(/+=0⬚0⊡+N₄¤)⊙¤⊚.°⊚            # Fences for a field, by looking for edges.
Cs     ← [0 1 1 0 1 0 2 1 1 2 0 1 0 1 1 0] # Number of corners keyed by bitarray of 2x2 grid.
Sides  ← /+/+⧈(⊡:Cs°⋯♭)2_2⌝↘¯1_¯1⌝↘1_1°⊚   # Add border, look for corners in 2x2 windows.

Fields ← ⊜□:⇡△.+1⍜♭⊛Data

/+×≡◇⊃⧻Fences Fields
/+×≡◇⊃⧻Sides Fields

[-] Quant@programming.dev 2 points 1 day ago

Nice :D
How's the speed now?

[-] mykl@lemmy.world 1 points 1 day ago* (last edited 1 day ago)

1.8s now. 99% of that in Sides. I've just had an idea though... ~~maybe too late for today though!~~

edit: prepending ≡⍚(-¤⊸/↧) toFields spared me from manipulating hundreds of irrelevant 0's, so time is very good now at 55ms.

this post was submitted on 12 Dec 2024

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