FAILURE MAP
← Case archive

FA-79181 / Image orientation metadata / Open access

Canvas mirror uses the pixel-index offset · case 01

Mirrored images are drawn one pixel to the left with a transparent column on the right.

Verified by executionVariant 1 · 8 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The mirror translation uses w - 1 (index arithmetic) in continuous canvas space.

VERIFIED REPAIR

Translate by the full width w.

Unsuccessful approach: A negative translation moves the mirrored image completely off the canvas.

Case contract

Input [w, h, tag]. Produce the canvas size and the 2D affine [a, b, c, d, e, f] (x' = a*x + c*y + e, y' = b*x + d*y + f, continuous coordinates, so mirroring an extent e maps x to e - x) that draws the stored image upright. Tags 5..8 use a [h, w] canvas; invalid tags are treated as 1.

Why this case matters

Camera, phone and scanner images carry an orientation hint separately from the stored pixels; galleries, thumbnailers, editors and upload pipelines must interpret it consistently or photos appear sideways, mirrored or doubly rotated.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    w, h, tag = x
    if tag not in (1, 2, 3, 4, 5, 6, 7, 8):
        tag = 1
    if tag == 1:
        mat = [1, 0, 0, 1, 0, 0]
    elif tag == 2:
        mat = [-1, 0, 0, 1, w - 1, 0]
    elif tag == 3:
        mat = [-1, 0, 0, -1, w, h]
    elif tag == 4:
        mat = [1, 0, 0, -1, 0, h]
    elif tag == 5:
        mat = [0, 1, 1, 0, 0, 0]
    elif tag == 6:
        mat = [0, 1, -1, 0, h, 0]
    elif tag == 7:
        mat = [0, -1, -1, 0, h, w]
    else:
        mat = [0, -1, 1, 0, 0, w]
    canvas = [h, w] if tag >= 5 else [w, h]
    return {'canvas': canvas, 'matrix': mat}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[[[4000, 3784, 2], {'canvas': [4000, 3784], 'matrix': [-1, 0, 0, 1, 4000, 0]}], [[1227, 335, 2], {'canvas': [1227, 335], 'matrix': [-1, 0, 0, 1, 1227, 0]}], [[3307, 2787, 3], {'canvas': [3307, 2787], 'matrix': [-1, 0, 0, -1, 3307, 2787]}], [[2954, 1709, 1], {'canvas': [2954, 1709], 'matrix': [1, 0, 0, 1, 0, 0]}], [[58, 1879, 3], {'canvas': [58, 1879], 'matrix': [-1, 0, 0, -1, 58, 1879]}], [[2834, 740, 9], {'canvas': [2834, 740], 'matrix': [1, 0, 0, 1, 0, 0]}], [[1990, 1071, 4], {'canvas': [1990, 1071], 'matrix': [1, 0, 0, -1, 0, 1071]}], [[1499, 3901, 2], {'canvas': [1499, 3901], 'matrix': [-1, 0, 0, 1, 1499, 0]}]], [[[3502, 833, 2], {'canvas': [3502, 833], 'matrix': [-1, 0, 0, 1, 3502, 0]}], [[1326, 2796, 2], {'canvas': [1326, 2796], 'matrix': [-1, 0, 0, 1, 1326, 0]}], [[2349, 3183, 4], {'canvas': [2349, 3183], 'matrix': [1, 0, 0, -1, 0, 3183]}], [[1404, 638, 8], {'canvas': [638, 1404], 'matrix': [0, -1, 1, 0, 0, 1404]}], [[3672, 2107, 7], {'canvas': [2107, 3672], 'matrix': [0, -1, -1, 0, 2107, 3672]}], [[497, 2889, 6], {'canvas': [2889, 497], 'matrix': [0, 1, -1, 0, 2889, 0]}], [[1679, 3857, 0], {'canvas': [1679, 3857], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2424, 3685, 2], {'canvas': [2424, 3685], 'matrix': [-1, 0, 0, 1, 2424, 0]}]], [[[2623, 3832, 2], {'canvas': [2623, 3832], 'matrix': [-1, 0, 0, 1, 2623, 0]}], [[1805, 2091, 2], {'canvas': [1805, 2091], 'matrix': [-1, 0, 0, 1, 1805, 0]}], [[2580, 3384, 7], {'canvas': [3384, 2580], 'matrix': [0, -1, -1, 0, 3384, 2580]}], [[1742, 3974, 6], {'canvas': [3974, 1742], 'matrix': [0, 1, -1, 0, 3974, 0]}], [[2878, 1614, 0], {'canvas': [2878, 1614], 'matrix': [1, 0, 0, 1, 0, 0]}], [[1553, 978, 5], {'canvas': [978, 1553], 'matrix': [0, 1, 1, 0, 0, 0]}], [[2394, 1311, 0], {'canvas': [2394, 1311], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2824, 877, 2], {'canvas': [2824, 877], 'matrix': [-1, 0, 0, 1, 2824, 0]}]], [[[250, 1651, 2], {'canvas': [250, 1651], 'matrix': [-1, 0, 0, 1, 250, 0]}], [[3998, 2986, 2], {'canvas': [3998, 2986], 'matrix': [-1, 0, 0, 1, 3998, 0]}], [[2618, 2128, 9], {'canvas': [2618, 2128], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2422, 1413, 3], {'canvas': [2422, 1413], 'matrix': [-1, 0, 0, -1, 2422, 1413]}], [[397, 3269, 8], {'canvas': [3269, 397], 'matrix': [0, -1, 1, 0, 0, 397]}], [[3842, 908, 7], {'canvas': [908, 3842], 'matrix': [0, -1, -1, 0, 908, 3842]}], [[1888, 3423, 4], {'canvas': [1888, 3423], 'matrix': [1, 0, 0, -1, 0, 3423]}], [[1474, 1630, 2], {'canvas': [1474, 1630], 'matrix': [-1, 0, 0, 1, 1474, 0]}]], [[[3339, 1148, 2], {'canvas': [3339, 1148], 'matrix': [-1, 0, 0, 1, 3339, 0]}], [[850, 592, 2], {'canvas': [850, 592], 'matrix': [-1, 0, 0, 1, 850, 0]}], [[3653, 369, 3], {'canvas': [3653, 369], 'matrix': [-1, 0, 0, -1, 3653, 369]}], [[663, 894, 6], {'canvas': [894, 663], 'matrix': [0, 1, -1, 0, 894, 0]}], [[439, 1611, 8], {'canvas': [1611, 439], 'matrix': [0, -1, 1, 0, 0, 439]}], [[318, 2513, 3], {'canvas': [318, 2513], 'matrix': [-1, 0, 0, -1, 318, 2513]}], [[2840, 2668, 9], {'canvas': [2840, 2668], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2083, 1309, 2], {'canvas': [2083, 1309], 'matrix': [-1, 0, 0, 1, 2083, 0]}]]]
labels = ["regression: horizontal mirror offset", "repair trap", "combined fault", "control", "control", "boundary", "boundary", "control"]
for i, (args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (labels[i % len(labels)], i), solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
regression: horizontal mirror offset 0{'canvas': [4000, 3784], 'matrix': [-1, 0, 0, 1, 3999, 0]}{'canvas': [4000, 3784], 'matrix': [-1, 0, 0, 1, 4000, 0]}Failed
repair trap 1{'canvas': [1227, 335], 'matrix': [-1, 0, 0, 1, 1226, 0]}{'canvas': [1227, 335], 'matrix': [-1, 0, 0, 1, 1227, 0]}Failed
combined fault 2{'canvas': [3307, 2787], 'matrix': [-1, 0, 0, -1, 3307, 2787]}{'canvas': [3307, 2787], 'matrix': [-1, 0, 0, -1, 3307, 2787]}Passed
control 3{'canvas': [2954, 1709], 'matrix': [1, 0, 0, 1, 0, 0]}{'canvas': [2954, 1709], 'matrix': [1, 0, 0, 1, 0, 0]}Passed
control 4{'canvas': [58, 1879], 'matrix': [-1, 0, 0, -1, 58, 1879]}{'canvas': [58, 1879], 'matrix': [-1, 0, 0, -1, 58, 1879]}Passed
boundary 5{'canvas': [2834, 740], 'matrix': [1, 0, 0, 1, 0, 0]}{'canvas': [2834, 740], 'matrix': [1, 0, 0, 1, 0, 0]}Passed
boundary 6{'canvas': [1990, 1071], 'matrix': [1, 0, 0, -1, 0, 1071]}{'canvas': [1990, 1071], 'matrix': [1, 0, 0, -1, 0, 1071]}Passed
control 7{'canvas': [1499, 3901], 'matrix': [-1, 0, 0, 1, 1498, 0]}{'canvas': [1499, 3901], 'matrix': [-1, 0, 0, 1, 1499, 0]}Failed

SHA-256 / e7a9836e06d2b18155145d3309aed21eed22c84d1bc46c5768085f3ed497997b

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    w, h, tag = x
    if tag not in (1, 2, 3, 4, 5, 6, 7, 8):
        tag = 1
    if tag == 1:
        mat = [1, 0, 0, 1, 0, 0]
    elif tag == 2:
        mat = [-1, 0, 0, 1, -w, 0]
    elif tag == 3:
        mat = [-1, 0, 0, -1, w, h]
    elif tag == 4:
        mat = [1, 0, 0, -1, 0, h]
    elif tag == 5:
        mat = [0, 1, 1, 0, 0, 0]
    elif tag == 6:
        mat = [0, 1, -1, 0, h, 0]
    elif tag == 7:
        mat = [0, -1, -1, 0, h, w]
    else:
        mat = [0, -1, 1, 0, 0, w]
    canvas = [h, w] if tag >= 5 else [w, h]
    return {'canvas': canvas, 'matrix': mat}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[[[4000, 3784, 2], {'canvas': [4000, 3784], 'matrix': [-1, 0, 0, 1, 4000, 0]}], [[1227, 335, 2], {'canvas': [1227, 335], 'matrix': [-1, 0, 0, 1, 1227, 0]}], [[3307, 2787, 3], {'canvas': [3307, 2787], 'matrix': [-1, 0, 0, -1, 3307, 2787]}], [[2954, 1709, 1], {'canvas': [2954, 1709], 'matrix': [1, 0, 0, 1, 0, 0]}], [[58, 1879, 3], {'canvas': [58, 1879], 'matrix': [-1, 0, 0, -1, 58, 1879]}], [[2834, 740, 9], {'canvas': [2834, 740], 'matrix': [1, 0, 0, 1, 0, 0]}], [[1990, 1071, 4], {'canvas': [1990, 1071], 'matrix': [1, 0, 0, -1, 0, 1071]}], [[1499, 3901, 2], {'canvas': [1499, 3901], 'matrix': [-1, 0, 0, 1, 1499, 0]}]], [[[3502, 833, 2], {'canvas': [3502, 833], 'matrix': [-1, 0, 0, 1, 3502, 0]}], [[1326, 2796, 2], {'canvas': [1326, 2796], 'matrix': [-1, 0, 0, 1, 1326, 0]}], [[2349, 3183, 4], {'canvas': [2349, 3183], 'matrix': [1, 0, 0, -1, 0, 3183]}], [[1404, 638, 8], {'canvas': [638, 1404], 'matrix': [0, -1, 1, 0, 0, 1404]}], [[3672, 2107, 7], {'canvas': [2107, 3672], 'matrix': [0, -1, -1, 0, 2107, 3672]}], [[497, 2889, 6], {'canvas': [2889, 497], 'matrix': [0, 1, -1, 0, 2889, 0]}], [[1679, 3857, 0], {'canvas': [1679, 3857], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2424, 3685, 2], {'canvas': [2424, 3685], 'matrix': [-1, 0, 0, 1, 2424, 0]}]], [[[2623, 3832, 2], {'canvas': [2623, 3832], 'matrix': [-1, 0, 0, 1, 2623, 0]}], [[1805, 2091, 2], {'canvas': [1805, 2091], 'matrix': [-1, 0, 0, 1, 1805, 0]}], [[2580, 3384, 7], {'canvas': [3384, 2580], 'matrix': [0, -1, -1, 0, 3384, 2580]}], [[1742, 3974, 6], {'canvas': [3974, 1742], 'matrix': [0, 1, -1, 0, 3974, 0]}], [[2878, 1614, 0], {'canvas': [2878, 1614], 'matrix': [1, 0, 0, 1, 0, 0]}], [[1553, 978, 5], {'canvas': [978, 1553], 'matrix': [0, 1, 1, 0, 0, 0]}], [[2394, 1311, 0], {'canvas': [2394, 1311], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2824, 877, 2], {'canvas': [2824, 877], 'matrix': [-1, 0, 0, 1, 2824, 0]}]], [[[250, 1651, 2], {'canvas': [250, 1651], 'matrix': [-1, 0, 0, 1, 250, 0]}], [[3998, 2986, 2], {'canvas': [3998, 2986], 'matrix': [-1, 0, 0, 1, 3998, 0]}], [[2618, 2128, 9], {'canvas': [2618, 2128], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2422, 1413, 3], {'canvas': [2422, 1413], 'matrix': [-1, 0, 0, -1, 2422, 1413]}], [[397, 3269, 8], {'canvas': [3269, 397], 'matrix': [0, -1, 1, 0, 0, 397]}], [[3842, 908, 7], {'canvas': [908, 3842], 'matrix': [0, -1, -1, 0, 908, 3842]}], [[1888, 3423, 4], {'canvas': [1888, 3423], 'matrix': [1, 0, 0, -1, 0, 3423]}], [[1474, 1630, 2], {'canvas': [1474, 1630], 'matrix': [-1, 0, 0, 1, 1474, 0]}]], [[[3339, 1148, 2], {'canvas': [3339, 1148], 'matrix': [-1, 0, 0, 1, 3339, 0]}], [[850, 592, 2], {'canvas': [850, 592], 'matrix': [-1, 0, 0, 1, 850, 0]}], [[3653, 369, 3], {'canvas': [3653, 369], 'matrix': [-1, 0, 0, -1, 3653, 369]}], [[663, 894, 6], {'canvas': [894, 663], 'matrix': [0, 1, -1, 0, 894, 0]}], [[439, 1611, 8], {'canvas': [1611, 439], 'matrix': [0, -1, 1, 0, 0, 439]}], [[318, 2513, 3], {'canvas': [318, 2513], 'matrix': [-1, 0, 0, -1, 318, 2513]}], [[2840, 2668, 9], {'canvas': [2840, 2668], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2083, 1309, 2], {'canvas': [2083, 1309], 'matrix': [-1, 0, 0, 1, 2083, 0]}]]]
labels = ["regression: horizontal mirror offset", "repair trap", "combined fault", "control", "control", "boundary", "boundary", "control"]
for i, (args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (labels[i % len(labels)], i), solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
regression: horizontal mirror offset 0{'canvas': [4000, 3784], 'matrix': [-1, 0, 0, 1, -4000, 0]}{'canvas': [4000, 3784], 'matrix': [-1, 0, 0, 1, 4000, 0]}Failed
repair trap 1{'canvas': [1227, 335], 'matrix': [-1, 0, 0, 1, -1227, 0]}{'canvas': [1227, 335], 'matrix': [-1, 0, 0, 1, 1227, 0]}Failed
combined fault 2{'canvas': [3307, 2787], 'matrix': [-1, 0, 0, -1, 3307, 2787]}{'canvas': [3307, 2787], 'matrix': [-1, 0, 0, -1, 3307, 2787]}Passed
control 3{'canvas': [2954, 1709], 'matrix': [1, 0, 0, 1, 0, 0]}{'canvas': [2954, 1709], 'matrix': [1, 0, 0, 1, 0, 0]}Passed
control 4{'canvas': [58, 1879], 'matrix': [-1, 0, 0, -1, 58, 1879]}{'canvas': [58, 1879], 'matrix': [-1, 0, 0, -1, 58, 1879]}Passed
boundary 5{'canvas': [2834, 740], 'matrix': [1, 0, 0, 1, 0, 0]}{'canvas': [2834, 740], 'matrix': [1, 0, 0, 1, 0, 0]}Passed
boundary 6{'canvas': [1990, 1071], 'matrix': [1, 0, 0, -1, 0, 1071]}{'canvas': [1990, 1071], 'matrix': [1, 0, 0, -1, 0, 1071]}Passed
control 7{'canvas': [1499, 3901], 'matrix': [-1, 0, 0, 1, -1499, 0]}{'canvas': [1499, 3901], 'matrix': [-1, 0, 0, 1, 1499, 0]}Failed

SHA-256 / 0f23edebdae7be6c9cc76cc48eb9306367d4fed1a7e1bb79cfd8958c5006d3a9

3 / The verified repair

Exit 0
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    w, h, tag = x
    if tag not in (1, 2, 3, 4, 5, 6, 7, 8):
        tag = 1
    if tag == 1:
        mat = [1, 0, 0, 1, 0, 0]
    elif tag == 2:
        mat = [-1, 0, 0, 1, w, 0]
    elif tag == 3:
        mat = [-1, 0, 0, -1, w, h]
    elif tag == 4:
        mat = [1, 0, 0, -1, 0, h]
    elif tag == 5:
        mat = [0, 1, 1, 0, 0, 0]
    elif tag == 6:
        mat = [0, 1, -1, 0, h, 0]
    elif tag == 7:
        mat = [0, -1, -1, 0, h, w]
    else:
        mat = [0, -1, 1, 0, 0, w]
    canvas = [h, w] if tag >= 5 else [w, h]
    return {'canvas': canvas, 'matrix': mat}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[[[4000, 3784, 2], {'canvas': [4000, 3784], 'matrix': [-1, 0, 0, 1, 4000, 0]}], [[1227, 335, 2], {'canvas': [1227, 335], 'matrix': [-1, 0, 0, 1, 1227, 0]}], [[3307, 2787, 3], {'canvas': [3307, 2787], 'matrix': [-1, 0, 0, -1, 3307, 2787]}], [[2954, 1709, 1], {'canvas': [2954, 1709], 'matrix': [1, 0, 0, 1, 0, 0]}], [[58, 1879, 3], {'canvas': [58, 1879], 'matrix': [-1, 0, 0, -1, 58, 1879]}], [[2834, 740, 9], {'canvas': [2834, 740], 'matrix': [1, 0, 0, 1, 0, 0]}], [[1990, 1071, 4], {'canvas': [1990, 1071], 'matrix': [1, 0, 0, -1, 0, 1071]}], [[1499, 3901, 2], {'canvas': [1499, 3901], 'matrix': [-1, 0, 0, 1, 1499, 0]}]], [[[3502, 833, 2], {'canvas': [3502, 833], 'matrix': [-1, 0, 0, 1, 3502, 0]}], [[1326, 2796, 2], {'canvas': [1326, 2796], 'matrix': [-1, 0, 0, 1, 1326, 0]}], [[2349, 3183, 4], {'canvas': [2349, 3183], 'matrix': [1, 0, 0, -1, 0, 3183]}], [[1404, 638, 8], {'canvas': [638, 1404], 'matrix': [0, -1, 1, 0, 0, 1404]}], [[3672, 2107, 7], {'canvas': [2107, 3672], 'matrix': [0, -1, -1, 0, 2107, 3672]}], [[497, 2889, 6], {'canvas': [2889, 497], 'matrix': [0, 1, -1, 0, 2889, 0]}], [[1679, 3857, 0], {'canvas': [1679, 3857], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2424, 3685, 2], {'canvas': [2424, 3685], 'matrix': [-1, 0, 0, 1, 2424, 0]}]], [[[2623, 3832, 2], {'canvas': [2623, 3832], 'matrix': [-1, 0, 0, 1, 2623, 0]}], [[1805, 2091, 2], {'canvas': [1805, 2091], 'matrix': [-1, 0, 0, 1, 1805, 0]}], [[2580, 3384, 7], {'canvas': [3384, 2580], 'matrix': [0, -1, -1, 0, 3384, 2580]}], [[1742, 3974, 6], {'canvas': [3974, 1742], 'matrix': [0, 1, -1, 0, 3974, 0]}], [[2878, 1614, 0], {'canvas': [2878, 1614], 'matrix': [1, 0, 0, 1, 0, 0]}], [[1553, 978, 5], {'canvas': [978, 1553], 'matrix': [0, 1, 1, 0, 0, 0]}], [[2394, 1311, 0], {'canvas': [2394, 1311], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2824, 877, 2], {'canvas': [2824, 877], 'matrix': [-1, 0, 0, 1, 2824, 0]}]], [[[250, 1651, 2], {'canvas': [250, 1651], 'matrix': [-1, 0, 0, 1, 250, 0]}], [[3998, 2986, 2], {'canvas': [3998, 2986], 'matrix': [-1, 0, 0, 1, 3998, 0]}], [[2618, 2128, 9], {'canvas': [2618, 2128], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2422, 1413, 3], {'canvas': [2422, 1413], 'matrix': [-1, 0, 0, -1, 2422, 1413]}], [[397, 3269, 8], {'canvas': [3269, 397], 'matrix': [0, -1, 1, 0, 0, 397]}], [[3842, 908, 7], {'canvas': [908, 3842], 'matrix': [0, -1, -1, 0, 908, 3842]}], [[1888, 3423, 4], {'canvas': [1888, 3423], 'matrix': [1, 0, 0, -1, 0, 3423]}], [[1474, 1630, 2], {'canvas': [1474, 1630], 'matrix': [-1, 0, 0, 1, 1474, 0]}]], [[[3339, 1148, 2], {'canvas': [3339, 1148], 'matrix': [-1, 0, 0, 1, 3339, 0]}], [[850, 592, 2], {'canvas': [850, 592], 'matrix': [-1, 0, 0, 1, 850, 0]}], [[3653, 369, 3], {'canvas': [3653, 369], 'matrix': [-1, 0, 0, -1, 3653, 369]}], [[663, 894, 6], {'canvas': [894, 663], 'matrix': [0, 1, -1, 0, 894, 0]}], [[439, 1611, 8], {'canvas': [1611, 439], 'matrix': [0, -1, 1, 0, 0, 439]}], [[318, 2513, 3], {'canvas': [318, 2513], 'matrix': [-1, 0, 0, -1, 318, 2513]}], [[2840, 2668, 9], {'canvas': [2840, 2668], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2083, 1309, 2], {'canvas': [2083, 1309], 'matrix': [-1, 0, 0, 1, 2083, 0]}]]]
labels = ["regression: horizontal mirror offset", "repair trap", "combined fault", "control", "control", "boundary", "boundary", "control"]
for i, (args, expected) in enumerate(fixtures[N-1]):
    check("%s %d" % (labels[i % len(labels)], i), solve(args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
regression: horizontal mirror offset 0{'canvas': [4000, 3784], 'matrix': [-1, 0, 0, 1, 4000, 0]}{'canvas': [4000, 3784], 'matrix': [-1, 0, 0, 1, 4000, 0]}Passed
repair trap 1{'canvas': [1227, 335], 'matrix': [-1, 0, 0, 1, 1227, 0]}{'canvas': [1227, 335], 'matrix': [-1, 0, 0, 1, 1227, 0]}Passed
combined fault 2{'canvas': [3307, 2787], 'matrix': [-1, 0, 0, -1, 3307, 2787]}{'canvas': [3307, 2787], 'matrix': [-1, 0, 0, -1, 3307, 2787]}Passed
control 3{'canvas': [2954, 1709], 'matrix': [1, 0, 0, 1, 0, 0]}{'canvas': [2954, 1709], 'matrix': [1, 0, 0, 1, 0, 0]}Passed
control 4{'canvas': [58, 1879], 'matrix': [-1, 0, 0, -1, 58, 1879]}{'canvas': [58, 1879], 'matrix': [-1, 0, 0, -1, 58, 1879]}Passed
boundary 5{'canvas': [2834, 740], 'matrix': [1, 0, 0, 1, 0, 0]}{'canvas': [2834, 740], 'matrix': [1, 0, 0, 1, 0, 0]}Passed
boundary 6{'canvas': [1990, 1071], 'matrix': [1, 0, 0, -1, 0, 1071]}{'canvas': [1990, 1071], 'matrix': [1, 0, 0, -1, 0, 1071]}Passed
control 7{'canvas': [1499, 3901], 'matrix': [-1, 0, 0, 1, 1499, 0]}{'canvas': [1499, 3901], 'matrix': [-1, 0, 0, 1, 1499, 0]}Passed

SHA-256 / c37ed5f66d0f61fdce59b19029ed53e53930f24e5243f508d90072964abc6d5e

Verification & scope

A deterministic bounded teaching model with a stipulated contract; it makes no claim of conformance to any published specification. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.

Observations recorded using Python 3.12.14 at 2026-09-29T14:49:42.188780+00:00.

Case digest / d660899ac16c5e312433a8bd933619d350cb92bf59a4bf1f8ae5dbde902cb1d0