Second scene recovered: the Klingon vessel (klngvid)
recover_scene.py generalizes the recovery (dual-window dump -> chain walk -> position/segment parse -> render) for any capture. Applied to klngvid: 139 content payload programs, 96 positions + 62 edge segments = a sparse starfield with a dense edge tangle right-of-center -- a vessel in space. Readout §06 now shows both recovered scenes (warp field + Klingon) side by side. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Claude Opus 4.8
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"""Generalized scene recovery: given a dual-window dump pkl (bin pages + content
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region), walk the DMA chains, parse every content payload's screen-space floats
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(+0x14/+0x18, +0x24/+0x28), and render points+streaks to PNG.
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Usage: recover_scene.py <dump.pkl> <out-base>"""
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import sys, pickle, struct, collections
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S = r'C:\Users\cyd\AppData\Local\Temp\claude\c--VWE-TeslaRel410\4e848c76-6e89-4034-8047-d8d491cb32d8\scratchpad'
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dump = sys.argv[1] if len(sys.argv) > 1 else 'klng_wide30.pkl'
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outb = sys.argv[2] if len(sys.argv) > 2 else 'klng_scene'
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mem = pickle.load(open(S + '\\' + dump, 'rb'))['mem']
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def asf(w):
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return struct.unpack('<f', struct.pack('<I', w & 0xffffffff))[0]
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def isf(w):
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e = (w >> 23) & 0xff
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return 1 < e < 254 and 1e-6 < abs(asf(w)) < 1e6
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# chain walk: every SEND target from bin pages
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sends = set()
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for a in sorted(k for k in mem if 0x0801e000 <= k < 0x08030000):
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w0 = mem.get(a); w1 = mem.get(a + 4)
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if w0 is None or w1 is None: continue
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if ((w1 >> 28) & 0xf) in (1, 9) and w0 >= 0x08030000:
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sends.add((w0, w1 & 0x7f))
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print("content sends:", len(sends))
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pts = []; segs = []
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for addr, size in sorted(sends):
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def f(off):
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w = mem.get(addr + off)
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return asf(w) if w is not None and isf(w) else None
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x1, y1, x2, y2 = f(0x14), f(0x18), f(0x24), f(0x28)
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if x1 is not None and y1 is not None and -100 < x1 < 1000 and -100 < y1 < 600:
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pts.append((x1, y1))
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if x2 is not None and y2 is not None and -100 < x2 < 1000 and -100 < y2 < 600:
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segs.append((x1, y1, x2, y2))
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print("positions: %d segments: %d" % (len(pts), len(segs)))
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if not pts:
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print("no positions parsed -- content window may differ; check send addrs:")
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for a, s in sorted(sends)[:10]:
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print(" %08x size=%d present=%s" % (a, s, (a in mem)))
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sys.exit()
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W, H = 832, 512
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img = [[(5, 8, 13) for _ in range(W)] for _ in range(H)]
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def put(x, y, c, blend=1.0):
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xi, yi = int(x), int(y)
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if 0 <= xi < W and 0 <= yi < H:
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r0, g0, b0 = img[yi][xi]
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img[yi][xi] = (min(255, int(r0 + c[0] * blend)),
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min(255, int(g0 + c[1] * blend)),
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min(255, int(b0 + c[2] * blend)))
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def line(x1, y1, x2, y2, c):
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steps = max(1, int(max(abs(x2 - x1), abs(y2 - y1))))
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for i in range(steps + 1):
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t = i / steps
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put(x1 + (x2 - x1) * t, y1 + (y2 - y1) * t, c, 0.5)
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for x1, y1, x2, y2 in segs:
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line(x1, y1, x2, y2, (200, 80, 70))
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for x, y in pts:
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put(x, y, (255, 240, 230)); put(x + 1, y, (170, 120, 110)); put(x, y + 1, (170, 120, 110))
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buf = bytearray()
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for row in img:
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for r, g, b in row:
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buf += bytes((r, g, b))
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open(S + '\\' + outb + '.ppm', 'wb').write(b'P6\n%d %d\n255\n' % (W, H) + bytes(buf))
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try:
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from PIL import Image
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Image.open(S + '\\' + outb + '.ppm').save(S + '\\' + outb + '.png')
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print("wrote %s.png" % outb)
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except Exception as e:
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print("ppm only:", e)
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pickle.dump({'pts': pts, 'segs': segs}, open(S + '\\' + outb + '_pos.pkl', 'wb'))
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@@ -379,6 +379,13 @@
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position read from its compiled coefficient block (fields +0x14/+0x18 and +0x24/+0x28,
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plain IEEE floats in screen space).</div>
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</div>
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<div class="hero-render" style="margin-top:14px">
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<span class="tag">same recovery · the Klingon capture</span>
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<canvas id="klngframe" width="832" height="512" aria-label="the Klingon scene recovered from klngvid's compiled frame"></canvas>
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<div class="cap"><b>the Klingon scene</b> — 96 positions and 62 edge segments: a sparse
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starfield with a dense tangle of intersecting edges right-of-center — <b>a vessel</b>,
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recovered by the identical chain-walk from the <span class="mono">klngvid</span> capture.</div>
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</div>
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</section>
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<section>
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@@ -745,6 +752,29 @@ var WARP_SEGS=[[196.5,174.7,485.3,268.5],[73.5,277.0,469.5,268.5],[113.9,474.8,5
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});
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})();
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/* ---- the Klingon scene: same recovery, klngvid capture ---- */
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var KLNG_PTS=[[634.1,336.3],[655.5,143.7],[633.2,120.7],[742.5,406.4],[731.1,409.1],[685.4,430.7],[763.6,87.0],[713.4,428.6],[754.3,516.8],[559.1,507.4],[632.1,378.5],[729.6,493.3],[744.2,139.9],[708.8,461.7],[716.8,225.7],[625.4,209.7],[690.5,514.9],[665.5,560.0],[755.0,303.2],[696.3,417.4],[686.0,505.1],[694.7,384.9],[740.5,47.5],[733.5,295.4],[750.3,15.0],[709.3,521.6],[306.5,131.8],[523.3,30.9],[608.5,400.1],[710.5,212.0],[737.3,70.4],[680.3,381.3],[759.0,494.0],[735.2,429.2],[539.6,391.9],[159.3,478.9],[551.3,181.5],[221.2,246.9],[728.5,516.6],[674.6,420.1],[458.0,383.2],[630.6,395.1],[447.9,388.9],[339.3,427.6],[601.5,64.8],[547.8,404.2],[421.2,424.0],[602.9,69.6],[682.6,303.3],[501.6,579.4],[658.2,475.4],[20.5,582.0],[643.9,513.8],[620.1,297.1],[546.2,301.7],[495.6,300.0],[207.3,326.4],[465.0,536.9],[625.6,39.4],[635.8,389.8],[382.2,478.9],[378.2,14.5],[578.0,231.3],[635.6,379.8],[578.0,565.2],[340.2,582.1],[685.5,536.7],[481.1,484.7],[560.5,61.5],[293.6,119.6],[211.3,448.9],[576.1,220.1],[25.2,309.4],[658.6,482.1],[664.0,399.7],[458.2,541.4],[673.8,154.1],[590.9,348.1],[681.4,90.3],[610.4,268.0],[317.0,549.9],[407.3,486.8],[442.2,80.8],[500.7,597.4],[338.5,142.9],[402.8,46.7],[544.0,82.7],[482.8,5.5],[539.8,103.7],[767.5,322.4],[534.7,547.2],[300.9,441.2],[586.1,238.1],[575.0,548.3],[545.6,239.1],[525.0,9.8]];
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var KLNG_SEGS=[[634.1,336.3,452.4,268.5],[655.5,143.7,459.2,268.5],[633.2,120.7,487.3,268.5],[742.5,406.4,429.0,268.5],[731.1,409.1,420.4,268.5],[685.4,430.7,439.1,268.5],[763.6,87.0,472.1,268.5],[713.4,428.6,416.3,268.5],[754.3,516.8,409.6,268.5],[559.1,507.4,479.0,268.5],[632.1,378.5,458.0,268.5],[729.6,493.3,403.5,268.5],[744.2,139.9,566.1,268.5],[708.8,461.7,407.5,268.5],[716.8,225.7,420.0,268.5],[625.4,209.7,439.4,268.5],[690.5,514.9,411.7,268.5],[665.5,560.0,536.9,268.5],[755.0,303.2,526.9,268.5],[696.3,417.4,588.4,268.5],[686.0,505.1,550.5,268.5],[694.7,384.9,567.3,268.5],[740.5,47.5,512.5,268.5],[733.5,295.4,740.1,268.5],[750.3,15.0,537.7,268.5],[709.3,521.6,682.6,268.5],[306.5,131.8,725.5,268.5],[523.3,30.9,530.3,268.5],[608.5,400.1,810.0,268.5],[710.5,212.0,629.1,268.5],[737.3,70.4,731.9,268.5],[680.3,381.3,693.8,268.5],[759.0,494.0,429.4,268.5],[735.2,429.2,579.1,268.5],[539.6,391.9,844.9,268.5],[159.3,478.9,843.5,268.5],[551.3,181.5,928.0,268.5],[221.2,246.9,931.0,268.5],[728.5,516.6,984.5,268.5],[674.6,420.1,801.6,268.5],[458.0,383.2,843.1,268.5],[630.6,395.1,727.7,268.5],[447.9,388.9,812.6,268.5],[339.3,427.6,880.1,268.5],[601.5,64.8,700.0,268.5],[547.8,404.2,860.3,268.5],[421.2,424.0,798.5,268.5],[602.9,69.6,994.4,268.5],[682.6,303.3,633.9,268.5],[501.6,579.4,775.9,268.5],[643.9,513.8,787.7,268.5],[620.1,297.1,761.4,268.5],[495.6,300.0,929.0,268.5],[207.3,326.4,953.2,268.5],[465.0,536.9,755.8,268.5],[625.6,39.4,757.9,268.5],[635.8,389.8,926.6,268.5],[382.2,478.9,745.5,268.5],[378.2,14.5,790.5,268.5],[578.0,565.2,889.0,268.5],[340.2,582.1,760.3,268.5],[458.2,541.4,972.6,268.5]];
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(function(){
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var kc=document.getElementById('klngframe'); if(!kc) return;
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var kx=kc.getContext('2d'), W=kc.width, H=kc.height;
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kx.fillStyle='#0a0608'; kx.fillRect(0,0,W,H);
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kx.lineWidth=0.8;
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KLNG_SEGS.forEach(function(s){
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var g=kx.createLinearGradient(s[0],s[1],s[2],s[3]);
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g.addColorStop(0,'rgba(255,140,110,0.8)');
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g.addColorStop(1,'rgba(160,50,50,0.1)');
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kx.strokeStyle=g;
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kx.beginPath(); kx.moveTo(s[0],s[1]); kx.lineTo(s[2],s[3]); kx.stroke();
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});
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KLNG_PTS.forEach(function(p){
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kx.fillStyle='rgba(255,245,235,0.95)';
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kx.fillRect(p[0]-0.5,p[1]-0.5,1.6,1.6);
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kx.fillStyle='rgba(220,140,110,0.35)';
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kx.fillRect(p[0]-1.5,p[1]-1.5,3.5,3.5);
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});
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})();
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/* ---- IGC tile footprint: which 64x128 tiles the array lit for the object ---- */
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var TILES={ntx:10,nty:5,touched:[[0,2],[1,1],[1,2],[2,1],[2,2],[2,3],[3,1],[3,2],[3,3],[4,1],[4,2],[4,3],[5,1],[5,2],[6,1],[6,2],[7,1],[8,1]]};
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(function(){
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