The payload floats group into clean x2 doubling chains (0.0079 0.016 0.032 ... 1.009) = a coefficient stored as its binary place values C*2^k across the bit-planes, exactly how a bit-serial adder holds a number. Recovered base coefficients correlate with the object's own screen-space edge/z slopes (decode_corr.py, chain_decode.py), so igc_array.py's inputs are cross-validated against the compiled stream. Fixed-point scales from FOOTER.SS (Czscale=2^20, Ctexscale=2^16). Readout §02 + decode notes updated. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
86 lines
3.9 KiB
Python
86 lines
3.9 KiB
Python
"""Correlate the object's KNOWN geometry coefficients against the floats embedded in
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the IGC SEND payloads. If the payload floats match the edge/z/color planes we compute
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from the captured screen vertices, we've cracked the encoding mapping."""
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import sys, time, struct, pickle, math
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sys.path.insert(0, r'C:\VWE\TeslaRel410\emulator\firmware-decomp')
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import emu860, dis860, emu_main
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emu860.Mem.log = lambda self, *a, **k: None
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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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# ---- (A) payload floats from the emulator ----
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snap = pickle.load(open(S + r'\snapv2.pkl', 'rb'))
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r = emu_main.MainRunner(r'C:\VWE\TeslaRel410\dpl3-revive\patha\cap7.raw.bin', fw='capfw7', max_cmds=6000)
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cpu = r.cpu
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cpu.mem.pages = {k: bytearray(v) for k, v in snap['pages'].items()}
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cpu.ctrl.clear(); cpu.ctrl.update(snap['ctrl'])
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cpu.r = list(snap['r']); cpu.f = list(snap['f']); cpu.cr = dict(snap['cr']); cpu.pc = snap['pc']
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cpu._apipe = list(snap['apipe']); cpu._mpipe = list(snap['mpipe']); cpu._fp_pipes()
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cpu._lpipe = list(snap['lpipe']); cpu._gpipe = list(snap['gpipe'])
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cpu._kr, cpu._ki, cpu._t = snap['kr'], snap['ki'], snap['t']
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cpu.lcc = snap['lcc']; r.qi = snap['qi']; r.heap = list(snap['heap'])
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t0 = time.time(); startq = r.qi
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while time.time() - t0 < 60:
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if r.qi >= startq + 2: break
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h = r.hooks.get(cpu.pc)
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if h:
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if h(cpu) == 'done': break
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continue
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if not cpu.step(): break
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def rw(a): return cpu.mem.r32(a & 0xffffffff)
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def asf(w): return struct.unpack('<f', struct.pack('<I', w))[0]
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payload_floats = []
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for base, n in [(0x08015000, 4), (0x08015020, 0x45), (0x08015260, 0x21), (0x08015380, 0x29)]:
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for i in range(n):
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w = rw(base + i * 4); f = asf(w)
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if 1e-4 < abs(f) < 1e6: # plausible coefficient range
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payload_floats.append(round(f, 5))
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uniq = sorted(set(payload_floats), key=abs)
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print("PAYLOAD floats (%d, %d unique): " % (len(payload_floats), len(uniq)))
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print(" ", uniq)
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# ---- (B) geometry-derived coefficients from the captured object ----
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objs = pickle.load(open(S + r'\vfull.pkl', 'rb'))['objs']
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allv = [v for o in objs for v in o]
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xs = sorted(set(round(v['mx'], 2) for v in allv)); zs = sorted(set(round(v['mz'], 2) for v in allv))
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grid = {(round(v['mx'], 2), round(v['mz'], 2)): v for v in allv}
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def plane(x0, y0, v0, x1, y1, v1, x2, y2, v2):
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det = (x1-x0)*(y2-y0) - (x2-x0)*(y1-y0)
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if abs(det) < 1e-9: return None
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A = ((v1-v0)*(y2-y0) - (v2-v0)*(y1-y0))/det
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B = ((v2-v0)*(x1-x0) - (v1-v0)*(x2-x0))/det
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C = v0 - A*x0 - B*y0
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return A, B, C
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# for each grid quad, compute edge slopes + z-plane (screen space) coefficients
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edgeAB = []; zplanes = []
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for i in range(len(xs)-1):
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for j in range(len(zs)-1):
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a = grid[(xs[i], zs[j])]; b = grid[(xs[i+1], zs[j])]; c = grid[(xs[i], zs[j+1])]
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tri = [a, b, c]
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for k in range(3):
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p, q = tri[k], tri[(k+1) % 3]
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dx = q['sx'] - p['sx']; dy = q['sy'] - p['sy']
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L = math.hypot(dx, dy) or 1
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edgeAB.append((round(-dy/L, 5), round(dx/L, 5))) # normalised edge normal
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zc = plane(a['sx'], a['sy'], a['mz'], b['sx'], b['sy'], b['mz'], c['sx'], c['sy'], c['mz'])
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if zc: zplanes.append(tuple(round(v, 5) for v in zc))
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edge_vals = sorted(set(v for e in edgeAB for v in e), key=abs)
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zA = sorted(set(z[0] for z in zplanes), key=abs)
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print("\nGEOMETRY edge normal components (%d unique):" % len(edge_vals))
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print(" ", edge_vals[:40])
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print("\nGEOMETRY z-plane A (dz/dx) values (%d):" % len(zA))
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print(" ", zA[:20])
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# ---- (C) look for matches ----
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print("\nMATCHES (payload float ~= a geometry coefficient, tol 5%):")
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geo_all = set(edge_vals) | set(zA) | set(z[1] for z in zplanes)
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hits = 0
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for pf in uniq:
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for gv in geo_all:
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if gv != 0 and abs(pf - gv) < 0.05 * max(abs(pf), abs(gv)) + 1e-4:
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print(" payload %.5f ~ geometry %.5f" % (pf, gv)); hits += 1; break
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print("total matches:", hits, "/", len(uniq))
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