""" verify_p1_sim.py — scratch harness for P1-1 (fold-breaking) and P1-2 (highlight soft-clip). Renders a bundle with: left = current production: mirror-repeat + hard clamp right = P1: makeSeamless 4-tap blend + per-cell random flips + soft clip Usage: python verify_p1_sim.py /tmp/hf_new_bundle.json """ import base64 import io import json import sys import numpy as np from PIL import Image def positive_modulo(v, d): return ((v % d) + d) % d def mirror_repeat(v): f = positive_modulo(v, 2.0) return np.where(f <= 1.0, f, 2.0 - f) def make_seamless(tex): h, w, _ = tex.shape half_w, half_h = w // 2, h // 2 def win(n): t = 1 - np.abs(2 * np.arange(n) / (n - 1) - 1) return t * t * (3 - 2 * t) wx = win(w)[None, :, None] wy = win(h)[:, None, None] t0 = tex.astype(np.float32) t1 = np.roll(t0, -half_w, axis=1) t2 = np.roll(t0, -half_h, axis=0) t3 = np.roll(t1, -half_h, axis=0) out = t0 * (wx * wy) + t1 * ((1 - wx) * wy) + t2 * (wx * (1 - wy)) + t3 * ((1 - wx) * (1 - wy)) return np.clip(out, 0, 255).astype(np.uint8) def soft_clip(v, knee=220.0): rng = 255.0 - knee t = np.maximum(v - knee, 0.0) return np.where(v <= knee, v, knee + t * rng / (t + rng)) def sample_bilinear(tex, x, y, wrap=True): h, w, _ = tex.shape x0 = np.clip(np.floor(x).astype(int), 0, w - 1) y0 = np.clip(np.floor(y).astype(int), 0, h - 1) if wrap: x1, y1 = (x0 + 1) % w, (y0 + 1) % h else: x1, y1 = np.minimum(x0 + 1, w - 1), np.minimum(y0 + 1, h - 1) fx = (x - np.floor(x))[:, None] fy = (y - np.floor(y))[:, None] t = tex.astype(np.float32) return (t[y0, x0] * (1 - fx) * (1 - fy) + t[y0, x1] * fx * (1 - fy) + t[y1, x0] * (1 - fx) * fy + t[y1, x1] * fx * fy) def render(bundle, tex_raw, mode): """mode 'mirror' = current prod; 'p1' = seamless + flips + softclip""" w, h = bundle["width"], bundle["height"] img = np.array(Image.open(io.BytesIO(base64.b64decode(bundle["pixels"]))).convert("RGB")) seg = bundle["segments"][0] idx = np.frombuffer(base64.b64decode(seg["mask"]), dtype=np.uint32) H = np.array(seg["homography"], dtype=np.float64).reshape(3, 3) p = seg["plane"] tex = make_seamless(tex_raw) if mode == "p1" else tex_raw texH, texW = tex.shape[:2] ys, xs = idx // w, idx % w pw = p["width"] cx, cy = p["x"] + pw / 2, p["y"] + p["height"] / 2 repeat_w = max(32.0, pw * 0.18) repeat_h = repeat_w * (texH / texW) pts = np.column_stack([xs, ys, np.ones(len(xs))]) @ H.T fx = pts[:, 0] / pts[:, 2] fy = pts[:, 1] / pts[:, 2] cu = (fx - cx) / repeat_w cv = (fy - cy) / repeat_h if mode == "mirror": u = mirror_repeat(cu) v = mirror_repeat(cv) sample = sample_bilinear(tex, u * texW, v * texH, wrap=False) else: ci = np.floor(cu).astype(np.int64) cj = np.floor(cv).astype(np.int64) hsh = ((ci * 73856093) ^ (cj * 19349663)).astype(np.uint32) u = cu - ci v = cv - cj u = np.where(hsh & 1, 1 - u, u) v = np.where(hsh & 2, 1 - v, v) sample = sample_bilinear(tex, u * texW, v * texH, wrap=True) sr = seg.get("shadeRange") or [0.55, 1.35] sm = np.frombuffer(base64.b64decode(seg["shadeMap"]), dtype=np.uint8) shade = sr[0] + (sm[idx].astype(np.float32) / 255.0) * (sr[1] - sr[0]) lit = sample * shade[:, None] lit = soft_clip(lit) if mode == "p1" else np.clip(lit, 0, 255) out = img.copy() out[ys, xs] = np.clip(lit, 0, 255).astype(np.uint8) return out def main(): bundle_path, tile_path, prefix = sys.argv[1], sys.argv[2], sys.argv[3] with open(bundle_path) as f: bundle = json.load(f) tex = np.array(Image.open(tile_path).convert("RGB")) print(f"tile: {tile_path} {tex.shape}") a = render(bundle, tex, "mirror") b = render(bundle, tex, "p1") Image.fromarray(np.hstack([a, b])).save(f"verify_out/{prefix}_p1_compare.png") print(f"saved verify_out/{prefix}_p1_compare.png (left=mirror/prod, right=P1)") if __name__ == "__main__": main()