- 07 What it took to get here
+ 08 What it took to get here
The i860 core was corrected against the toolchain's own assembler output
and MAME's validated i860 model. A selection of the load-bearing fixes:
@@ -726,6 +746,25 @@
dx.putImageData(img,0,0);
})();
+ /* ---- the test pattern: exact triangles from solved edge equations ---- */
+ var 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+ (function(){
+ var bc=document.getElementById('benchframe'); if(!bc) return;
+ var bx=bc.getContext('2d');
+ bx.fillStyle='#06090e'; bx.fillRect(0,0,bc.width,bc.height);
+ var COLS=['#41ff8e','#5fd0ff','#ffb020','#ff5a6a','#eaffef','#a078ff','#c8c85a','#5ac8a0','#ff8c6e','#78b4e6'];
+ BENCH_TRIS.forEach(function(t,i){
+ bx.fillStyle=COLS[i%COLS.length];
+ bx.globalAlpha=0.55;
+ bx.beginPath();
+ bx.moveTo(t[0][0],t[0][1]); bx.lineTo(t[1][0],t[1][1]); bx.lineTo(t[2][0],t[2][1]);
+ bx.closePath(); bx.fill();
+ bx.globalAlpha=0.9; bx.strokeStyle='rgba(234,255,239,0.25)'; bx.lineWidth=0.7;
+ bx.stroke();
+ });
+ bx.globalAlpha=1;
+ })();
+
/* ---- the warp field: star positions + streaks recovered from trek's
compiled per-primitive payload blocks (screen-space floats) ---- */
var WARP_PTS=[[196.5,174.7],[73.5,277.0],[113.9,474.8],[120.3,347.2],[350.8,358.9],[100.0,438.9],[102.7,474.7],[143.5,56.3],[521.1,111.5],[335.1,400.5],[39.3,353.8],[287.8,323.5],[251.4,554.9],[93.4,246.8],[479.9,300.7],[274.7,347.7],[97.6,465.2],[382.6,241.0],[476.5,80.5],[160.7,418.5],[334.4,218.4],[326.4,553.0],[473.7,587.9],[89.8,371.7],[100.0,127.6],[593.2,335.7],[530.1,583.7],[28.3,420.3],[160.3,499.2],[106.8,237.8],[268.7,370.0],[224.2,219.2],[217.4,448.6],[139.3,256.6],[408.1,493.9],[252.3,282.6],[8.2,586.6],[309.7,583.4],[416.5,337.7],[270.2,215.6],[730.9,473.8],[6.6,364.1],[641.3,69.2],[423.6,565.8],[84.0,313.2],[289.9,488.0],[407.1,350.0],[187.8,61.4],[53.3,340.4],[180.7,406.5],[551.6,104.8],[280.6,464.0],[615.6,412.7],[215.4,192.7],[173.6,99.2],[5.2,313.3],[44.7,238.4],[211.9,472.9],[334.4,52.8],[329.5,248.3],[564.8,232.5],[91.9,450.9],[105.0,2.9],[366.1,113.9],[291.5,368.5],[266.1,254.2],[357.0,201.0],[483.0,174.3],[529.5,34.7],[29.2,240.2],[258.7,12.5],[664.8,238.8],[206.6,337.8],[591.0,419.0],[243.1,220.4],[351.8,300.5],[262.0,390.1],[55.0,544.2],[256.1,200.8],[446.6,434.5],[471.1,416.2],[437.2,124.0],[700.2,381.8],[196.6,277.9],[61.1,316.4],[141.9,576.4],[171.4,516.7],[264.4,444.2],[312.7,574.3],[454.3,345.4],[507.3,547.9],[140.8,301.1],[283.3,140.1],[186.6,218.3],[224.1,2.1],[36.1,331.8],[363.8,257.2],[546.4,375.3],[466.2,493.0],[78.2,307.8],[79.7,550.5],[299.3,277.5],[442.7,267.7],[442.7,461.9],[474.9,543.9],[353.3,177.4],[221.3,526.3],[359.7,381.9],[105.0,343.5],[281.6,194.2],[503.9,422.3],[475.1,407.9],[473.7,203.8],[293.6,222.1],[578.8,352.3],[120.9,577.2],[56.9,442.2],[369.5,368.0],[60.2,123.9],[370.9,394.4],[86.3,262.0],[236.9,166.5],[137.0,257.6],[209.9,572.5],[393.1,74.3],[271.4,289.7],[414.7,560.1],[549.8,156.7],[304.6,466.1],[133.0,385.4],[281.6,586.3],[574.1,124.0],[169.6,193.1],[88.4,388.4],[92.3,136.0],[620.2,559.1],[733.7,173.2],[481.8,247.5],[501.2,277.0],[223.4,494.1],[403.7,264.9],[248.9,259.6],[223.6,480.0],[594.2,446.4],[266.3,327.8],[586.8,101.1],[673.0,67.1],[554.5,550.2],[42.7,265.6],[375.2,209.5],[491.0,344.8],[7.8,453.0],[389.1,316.0],[465.7,535.9],[537.6,388.0],[530.8,525.5],[744.7,353.7],[676.1,184.2],[153.8,173.2],[451.5,351.5],[416.8,254.6],[560.5,219.5],[52.6,530.0],[621.6,126.7],[199.3,329.9],[152.3,351.4],[592.3,315.7],[598.4,280.3],[144.0,322.3],[153.5,243.5],[125.4,55.6],[619.1,78.7],[100.4,531.9],[9.1,480.6],[292.8,556.8],[29.5,360.0],[307.4,512.8],[324.5,487.0],[167.5,137.6],[482.1,263.5],[520.6,496.8],[485.1,154.1],[135.6,371.2],[369.8,262.5],[563.6,425.9],[553.7,379.0],[106.3,54.7],[208.8,176.5],[437.1,272.8],[109.5,345.7],[520.9,318.4],[156.9,539.9],[433.7,196.8],[44.5,384.6],[25.4,484.0],[511.8,511.6],[453.1,564.0],[448.3,534.4],[236.8,369.7],[263.6,435.0],[212.2,514.6],[359.4,390.3],[192.0,508.4],[233.2,595.6],[381.4,294.1],[289.1,136.5],[455.7,97.3],[464.1,116.0],[690.2,174.3],[215.9,547.4],[184.3,568.8],[317.7,567.7],[505.4,469.0],[422.1,347.9],[472.6,235.2],[579.0,277.0],[521.7,5.8],[223.3,204.7],[224.5,474.7],[163.8,563.9],[366.0,373.8],[89.1,234.0],[458.4,488.6],[331.7,375.1],[452.8,7.6],[436.2,67.3],[121.1,284.0],[481.7,496.3],[199.2,393.1],[37.8,220.0],[163.6,158.9],[187.1,566.6],[558.4,441.0],[662.0,418.0],[334.4,472.2],[183.4,226.5],[235.5,181.7],[291.3,471.5],[19.2,330.1],[374.6,15.7],[303.1,571.5],[491.8,420.7],[489.5,238.9],[547.0,253.0],[233.0,326.7],[374.7,258.2],[393.3,364.4],[232.5,311.9],[330.4,318.4],[516.5,335.8],[337.1,120.5],[36.7,362.1],[533.1,404.5],[555.4,109.3],[268.1,158.9],[196.5,482.6],[186.1,390.8],[462.0,245.4],[356.6,92.5],[310.3,495.0],[259.6,551.2],[543.3,503.9],[26.7,164.1],[22.3,470.7],[127.2,351.5],[517.7,240.7],[270.8,130.4],[639.1,187.3],[402.4,535.3],[696.5,169.1],[322.6,117.5],[70.3,238.6],[614.4,332.2],[334.4,29.7],[757.0,62.5],[739.8,538.3],[476.6,198.0],[424.5,142.8],[309.5,247.3],[428.5,237.9],[533.4,482.8],[391.7,585.8],[632.0,315.4],[514.7,334.3],[19.6,367.4],[414.1,537.2],[585.7,354.3],[165.6,485.9],[333.1,286.6],[323.6,590.1],[343.1,33.8],[44.8,484.3],[421.3,313.3],[231.5,68.5],[469.3,517.1],[587.8,421.2],[497.0,338.7],[117.1,462.3],[205.4,228.7],[150.4,372.2],[280.2,372.3],[189.1,20.7],[346.9,274.7],[351.4,254.9],[28.5,361.5],[36.0,137.3],[132.3,353.8],[365.2,304.9],[475.0,404.6],[430.1,308.5],[445.6,59.5],[559.0,428.6],[298.9,154.5],[697.9,179.8],[486.3,300.0],[69.1,103.0],[16.2,178.0],[292.3,34.3],[240.7,179.4],[456.2,421.9],[111.8,58.7],[457.9,556.8],[109.3,447.9],[14.0,589.3],[102.7,52.9],[185.0,431.4],[63.4,273.4],[11.7,523.4],[269.2,572.9],[504.6,393.5],[518.1,512.8],[692.4,139.5],[81.2,467.9],[15.6,511.0],[378.5,33.7],[295.6,52.6],[296.2,167.0],[371.0,586.7],[127.0,531.6],[388.1,564.7],[527.6,595.7],[687.9,404.1],[542.7,367.5],[407.9,458.3],[339.1,550.6],[164.6,509.1],[359.8,569.6],[252.2,420.7],[237.8,198.6],[455.9,65.6],[115.0,475.2],[349.6,36.9],[493.5,242.2],[350.0,141.8],[260.0,470.2],[76.3,453.5],[374.1,195.7],[22.4,205.3],[151.0,227.5],[607.0,135.5],[762.1,310.5],[644.8,242.7],[149.8,287.5],[515.3,71.1],[55.6,441.5],[385.7,484.8],[48.8,292.0],[325.5,86.8],[552.2,12.2],[704.6,509.8],[410.5,309.1],[733.1,162.6],[111.1,13.9],[563.9,335.9],[230.1,100.9],[638.4,308.2],[429.5,533.8],[201.9,237.9],[507.9,523.0],[79.3,333.2],[595.8,557.4],[404.5,528.0],[376.4,368.6],[620.3,70.4],[392.4,595.1],[155.0,380.9],[603.5,350.7],[313.1,510.5],[350.9,149.9],[333.4,543.3],[95.4,425.8],[368.0,544.3],[182.6,323.6],[236.0,472.3],[491.6,533.1],[194.7,521.2],[663.2,445.1],[218.3,312.8],[295.6,467.2],[90.8,561.6],[28.9,416.9],[293.2,27.5],[437.1,386.7],[442.3,360.3],[629.0,202.8],[557.0,129.9],[749.3,177.2],[229.6,277.3],[87.9,439.4],[91.2,275.6],[515.0,390.7],[241.4,465.3],[76.6,582.5],[414.4,346.0],[427.8,427.1],[418.7,207.4],[576.2,356.8],[407.4,95.1],[693.1,84.1],[355.8,53.4],[73.7,344.1],[148.1,447.2],[220.6,22.3],[371.4,413.4],[163.2,400.9],[389.6,210.0],[542.1,334.1],[499.3,116.5],[126.7,567.5],[182.1,321.8],[225.3,271.6],[264.2,231.3],[53.7,376.7]];
diff --git a/emulator/firmware-decomp/tri_recover.py b/emulator/firmware-decomp/tri_recover.py
new file mode 100644
index 0000000..3ab2c19
--- /dev/null
+++ b/emulator/firmware-decomp/tri_recover.py
@@ -0,0 +1,112 @@
+"""EXACT scene recovery: payloads = triangles as 3 edge equations {scale,A,B,C} in
+stride-0x10 groups. Solve pairwise intersections -> true vertices; auto-detect
+tile-local vs global coords; fill triangles. Usage: tri_recover.py """
+import sys, pickle, struct, collections
+S = r'C:\Users\cyd\AppData\Local\Temp\claude\c--VWE-TeslaRel410\4e848c76-6e89-4034-8047-d8d491cb32d8\scratchpad'
+dump = sys.argv[1]; outb = sys.argv[2]
+mem = pickle.load(open(S + '\\' + dump, 'rb'))['mem']
+
+def asf(w):
+ return struct.unpack('> 23) & 0xff
+ return 1 < e < 254 and 1e-7 < abs(asf(w)) < 1e7
+
+# chains with tile ids
+regions = []
+for page in sorted(set(a & ~0xfff for a in mem if 0x0801e000 <= a < 0x08030000)):
+ sends = []; tile = None
+ a = page
+ while a < page + 0x800:
+ w0 = mem.get(a); w1 = mem.get(a + 4)
+ if w0 is None or w1 is None:
+ a += 8; continue
+ c = (w1 >> 28) & 0xf
+ if c in (1, 9) and w0 >= 0x08030000:
+ sends.append((w0, w1 & 0x7f))
+ elif c == 2:
+ tile = w0
+ a += 8
+ if sends:
+ regions.append((page, tile, sends))
+
+def parse_edges(addr, size):
+ """Find stride-0x10 groups {scale, A, B, C}: scale small (~1e-3..1e-1), A/B/C larger."""
+ edges = []
+ off = 0
+ while off + 0x10 <= size * 4 + 4:
+ ws = [mem.get(addr + off + k) for k in (0, 4, 8, 12)]
+ if all(w is not None and isf(w) for w in ws):
+ s, A, B, C = (asf(w) for w in ws)
+ if 1e-4 < abs(s) < 0.1 and (abs(A) > 0.5 or abs(B) > 0.5):
+ edges.append((A, B, C))
+ off += 0x10
+ continue
+ off += 4
+ return edges
+
+def isect(e1, e2):
+ (a1, b1, c1), (a2, b2, c2) = e1, e2
+ d = a1 * b2 - a2 * b1
+ if abs(d) < 1e-9: return None
+ return ((-c1 * b2 + c2 * b1) / d, (-a1 * c2 + a2 * c1) / d)
+
+tris = [] # (tile, [(x,y)x3])
+for page, tile, sends in regions:
+ for addr, size in sends:
+ edges = parse_edges(addr, size)
+ # group consecutive edge triples into triangles
+ for k in range(0, len(edges) - 2, 3):
+ e = edges[k:k+3]
+ pts = [isect(e[0], e[1]), isect(e[1], e[2]), isect(e[2], e[0])]
+ if all(p is not None for p in pts):
+ tris.append((tile, pts))
+
+xs = [p[0] for _, ps in tris for p in ps]
+ys = [p[1] for _, ps in tris for p in ps]
+if not xs:
+ print("no triangles solved"); sys.exit()
+print("triangles: %d vertex range x[%.1f..%.1f] y[%.1f..%.1f]" %
+ (len(tris), min(xs), max(xs), min(ys), max(ys)))
+# auto-detect: if 95% of coords within [−16, 160] treat as tile-local
+loc = sum(1 for v in xs + ys if -16 <= v <= 160) / len(xs + ys)
+tile_local = loc > 0.9
+print("tile-local coords: %s (%.0f%% in range)" % (tile_local, loc * 100))
+
+W, H = 832, 512
+img = [[(6, 9, 14) for _ in range(W)] for _ in range(H)]
+PAL = [(65,255,142),(95,208,255),(255,176,32),(255,90,106),(234,255,239),
+ (160,120,255),(200,200,90),(90,200,160),(255,140,110),(120,180,230)]
+def fill_tri(pts, col):
+ xs_ = [p[0] for p in pts]; ys_ = [p[1] for p in pts]
+ x0, x1 = max(0, int(min(xs_))), min(W - 1, int(max(xs_)) + 1)
+ y0, y1 = max(0, int(min(ys_))), min(H - 1, int(max(ys_)) + 1)
+ if x1 - x0 > 500 or y1 - y0 > 500: return # reject degenerate giants
+ (ax, ay), (bx, by), (cx, cy) = pts
+ den = (bx - ax) * (cy - ay) - (cx - ax) * (by - ay)
+ if abs(den) < 1e-9: return
+ for y in range(y0, y1 + 1):
+ for x in range(x0, x1 + 1):
+ w0 = ((bx - x) * (cy - y) - (cx - x) * (by - y)) / den
+ w1 = ((cx - x) * (ay - y) - (ax - x) * (cy - y)) / den
+ w2 = 1 - w0 - w1
+ if w0 >= -0.02 and w1 >= -0.02 and w2 >= -0.02:
+ r0, g0, b0 = img[y][x]
+ img[y][x] = (min(255, r0 + col[0] // 3), min(255, g0 + col[1] // 3),
+ min(255, b0 + col[2] // 3))
+drawn = 0
+for i, (tile, pts) in enumerate(tris):
+ if tile_local and tile is not None:
+ ox = (tile & 0x1f) * 64; oy = ((tile >> 5) & 0x1f) * 128
+ pts = [(p[0] + ox, p[1] + oy) for p in pts]
+ fill_tri(pts, PAL[i % len(PAL)])
+ drawn += 1
+print("drawn:", drawn)
+buf = bytearray()
+for row in img:
+ for r, g, b in row:
+ buf += bytes((r, g, b))
+open(S + '\\' + outb + '.ppm', 'wb').write(b'P6\n%d %d\n255\n' % (W, H) + bytes(buf))
+from PIL import Image
+Image.open(S + '\\' + outb + '.ppm').save(S + '\\' + outb + '.png')
+print("wrote %s.png" % outb)