alife_sandpile — 2D `artificial-life` op

• 데이터 종류: image → image

• 호출: fullseye.apply(img, "alife_sandpile", a=0.5, b=0.5)(2-D 는 이미지 1 장 + 스칼라 노브 2 개 a,b∈[0,1] 모델)

아벨 모래더미(Abelian sandpile) / 자기조직화 임계성(self-organised criticality, Bak-Tang-Wiesenfeld 1987).

> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.

The image is quantised to integer grain heights h = round(K * image) with

K = 4 + int(12a), then relaxed by the BTW toppling rule: a cell with 4 or

more grains gives one grain to each orthogonal neighbour and keeps the rest.

The boundary is dissipative (grains leaving the grid are lost), which is what

lets the pile settle into the self-organised critical state where every cell

holds at most 3 grains.

`a` sets the initial grain scale K (how supercritical the pile starts);

`b` sets the number of parallel relaxation sweeps 1 + int(50b). For

b >= 0.9 the pile relaxes *toward* stability with early termination, but the

sweep count is bounded by a total-work budget (`_SANDPILE_BUDGET` grain-

updates) so the op stays fast on any image size: a small or varied pile

reaches the stable critical state (every cell <= 3), while a very large

maximally-supercritical pile is only partially relaxed (full BTW

stabilisation is O(L^2) sweeps). Returns h / max(h) in [0, 1]; a fully

relaxed pile (max 3) takes values in {0, 1/3, 2/3, 1} (or {0, 1/2, 1} when

the stable maximum is 2).

• 샘플 데이터 카탈로그(DL URL / 라이선스) —— 2-D 는 skimage.data(BSD/public)+ 합성, 3-D 는 실데이터 소스(Stanford/PDS 등)의 DL URL.

• 연산자의 내력·참고문헌 —— 이 연산자 족의 바탕이 된 연구/기법의 출처.

• 알고리즘의 정전(저자·연도)과 용도는 위의 패밀리 사용 가이드에 적혀 있습니다.

• gallery2d_physics_alife_3d — py -3.11 examples/gallery2d_physics_alife_3d.py

*Provenance: ops.py — 2D 연산자 레지스트리. 이 op 노트는 tools/opdocs.py md 가 자동 생성합니다(직접 편집하지 마세요).*

alife_sandpile — 2D artificial-life op