{"abstract":"Clockwise-rotated photos are drawn partly outside the canvas on non-square images.","category":"Image orientation metadata","checks":8,"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.","evaluation_group":"w2-image-orientation-metadata-canvas-set-transform","failed_approach":"The pixel-index offset h - 1 is wrong in continuous canvas coordinates and leaves a one-pixel seam.","family":"w2-image-orientation-metadata-canvas-set-transform-tag6-translation","id":"FA-79171","implementations":{"attempt":{"sha256":"93beba4d0ee2ac8a4519de555daec027bceb7b1d4c625beac4978d3f351f1770","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    w, h, tag = x\n    if tag not in (1, 2, 3, 4, 5, 6, 7, 8):\n        tag = 1\n    if tag == 1:\n        mat = [1, 0, 0, 1, 0, 0]\n    elif tag == 2:\n        mat = [-1, 0, 0, 1, w, 0]\n    elif tag == 3:\n        mat = [-1, 0, 0, -1, w, h]\n    elif tag == 4:\n        mat = [1, 0, 0, -1, 0, h]\n    elif tag == 5:\n        mat = [0, 1, 1, 0, 0, 0]\n    elif tag == 6:\n        mat = [0, 1, -1, 0, h - 1, 0]\n    elif tag == 7:\n        mat = [0, -1, -1, 0, h, w]\n    else:\n        mat = [0, -1, 1, 0, 0, w]\n    canvas = [h, w] if tag >= 5 else [w, h]\n    return {'canvas': canvas, 'matrix': mat}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[[889, 2551, 6], {'canvas': [2551, 889], 'matrix': [0, 1, -1, 0, 2551, 0]}], [[3995, 1348, 6], {'canvas': [1348, 3995], 'matrix': [0, 1, -1, 0, 1348, 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]}], [[954, 2041, 6], {'canvas': [2041, 954], 'matrix': [0, 1, -1, 0, 2041, 0]}]], [[[1194, 3699, 6], {'canvas': [3699, 1194], 'matrix': [0, 1, -1, 0, 3699, 0]}], [[608, 1768, 6], {'canvas': [1768, 608], 'matrix': [0, 1, -1, 0, 1768, 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]}], [[1679, 3857, 0], {'canvas': [1679, 3857], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2880, 3643, 3], {'canvas': [2880, 3643], 'matrix': [-1, 0, 0, -1, 2880, 3643]}], [[2257, 2995, 6], {'canvas': [2995, 2257], 'matrix': [0, 1, -1, 0, 2995, 0]}]], [[[2671, 433, 6], {'canvas': [433, 2671], 'matrix': [0, 1, -1, 0, 433, 0]}], [[1055, 2739, 6], {'canvas': [2739, 1055], 'matrix': [0, 1, -1, 0, 2739, 0]}], [[2580, 3384, 7], {'canvas': [3384, 2580], 'matrix': [0, -1, -1, 0, 3384, 2580]}], [[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]}], [[1506, 1188, 8], {'canvas': [1188, 1506], 'matrix': [0, -1, 1, 0, 0, 1506]}], [[576, 1460, 6], {'canvas': [1460, 576], 'matrix': [0, 1, -1, 0, 1460, 0]}]], [[[2323, 1102, 6], {'canvas': [1102, 2323], 'matrix': [0, 1, -1, 0, 1102, 0]}], [[3065, 2806, 6], {'canvas': [2806, 3065], 'matrix': [0, 1, -1, 0, 2806, 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]}], [[180, 3433, 6], {'canvas': [3433, 180], 'matrix': [0, 1, -1, 0, 3433, 0]}]], [[[3353, 2830, 6], {'canvas': [2830, 3353], 'matrix': [0, 1, -1, 0, 2830, 0]}], [[1744, 2845, 6], {'canvas': [2845, 1744], 'matrix': [0, 1, -1, 0, 2845, 0]}], [[3666, 647, 2], {'canvas': [3666, 647], 'matrix': [-1, 0, 0, 1, 3666, 0]}], [[3653, 369, 3], {'canvas': [3653, 369], 'matrix': [-1, 0, 0, -1, 3653, 369]}], [[439, 1611, 8], {'canvas': [1611, 439], 'matrix': [0, -1, 1, 0, 0, 439]}], [[2083, 1309, 2], {'canvas': [2083, 1309], 'matrix': [-1, 0, 0, 1, 2083, 0]}], [[318, 2513, 3], {'canvas': [318, 2513], 'matrix': [-1, 0, 0, -1, 318, 2513]}], [[3680, 1329, 6], {'canvas': [1329, 3680], 'matrix': [0, 1, -1, 0, 1329, 0]}]]]\nlabels = [\"regression: tag 6 translation\", \"repair trap\", \"combined fault\", \"control\", \"control\", \"boundary\", \"boundary\", \"control\"]\nfor i, (args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (labels[i % len(labels)], i), solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"9b3eb41e7bde31af5663b079b3bd51116c783469b37fd0d4cbec67335d29619e","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    w, h, tag = x\n    if tag not in (1, 2, 3, 4, 5, 6, 7, 8):\n        tag = 1\n    if tag == 1:\n        mat = [1, 0, 0, 1, 0, 0]\n    elif tag == 2:\n        mat = [-1, 0, 0, 1, w, 0]\n    elif tag == 3:\n        mat = [-1, 0, 0, -1, w, h]\n    elif tag == 4:\n        mat = [1, 0, 0, -1, 0, h]\n    elif tag == 5:\n        mat = [0, 1, 1, 0, 0, 0]\n    elif tag == 6:\n        mat = [0, 1, -1, 0, w, 0]\n    elif tag == 7:\n        mat = [0, -1, -1, 0, h, w]\n    else:\n        mat = [0, -1, 1, 0, 0, w]\n    canvas = [h, w] if tag >= 5 else [w, h]\n    return {'canvas': canvas, 'matrix': mat}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[[889, 2551, 6], {'canvas': [2551, 889], 'matrix': [0, 1, -1, 0, 2551, 0]}], [[3995, 1348, 6], {'canvas': [1348, 3995], 'matrix': [0, 1, -1, 0, 1348, 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]}], [[954, 2041, 6], {'canvas': [2041, 954], 'matrix': [0, 1, -1, 0, 2041, 0]}]], [[[1194, 3699, 6], {'canvas': [3699, 1194], 'matrix': [0, 1, -1, 0, 3699, 0]}], [[608, 1768, 6], {'canvas': [1768, 608], 'matrix': [0, 1, -1, 0, 1768, 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]}], [[1679, 3857, 0], {'canvas': [1679, 3857], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2880, 3643, 3], {'canvas': [2880, 3643], 'matrix': [-1, 0, 0, -1, 2880, 3643]}], [[2257, 2995, 6], {'canvas': [2995, 2257], 'matrix': [0, 1, -1, 0, 2995, 0]}]], [[[2671, 433, 6], {'canvas': [433, 2671], 'matrix': [0, 1, -1, 0, 433, 0]}], [[1055, 2739, 6], {'canvas': [2739, 1055], 'matrix': [0, 1, -1, 0, 2739, 0]}], [[2580, 3384, 7], {'canvas': [3384, 2580], 'matrix': [0, -1, -1, 0, 3384, 2580]}], [[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]}], [[1506, 1188, 8], {'canvas': [1188, 1506], 'matrix': [0, -1, 1, 0, 0, 1506]}], [[576, 1460, 6], {'canvas': [1460, 576], 'matrix': [0, 1, -1, 0, 1460, 0]}]], [[[2323, 1102, 6], {'canvas': [1102, 2323], 'matrix': [0, 1, -1, 0, 1102, 0]}], [[3065, 2806, 6], {'canvas': [2806, 3065], 'matrix': [0, 1, -1, 0, 2806, 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]}], [[180, 3433, 6], {'canvas': [3433, 180], 'matrix': [0, 1, -1, 0, 3433, 0]}]], [[[3353, 2830, 6], {'canvas': [2830, 3353], 'matrix': [0, 1, -1, 0, 2830, 0]}], [[1744, 2845, 6], {'canvas': [2845, 1744], 'matrix': [0, 1, -1, 0, 2845, 0]}], [[3666, 647, 2], {'canvas': [3666, 647], 'matrix': [-1, 0, 0, 1, 3666, 0]}], [[3653, 369, 3], {'canvas': [3653, 369], 'matrix': [-1, 0, 0, -1, 3653, 369]}], [[439, 1611, 8], {'canvas': [1611, 439], 'matrix': [0, -1, 1, 0, 0, 439]}], [[2083, 1309, 2], {'canvas': [2083, 1309], 'matrix': [-1, 0, 0, 1, 2083, 0]}], [[318, 2513, 3], {'canvas': [318, 2513], 'matrix': [-1, 0, 0, -1, 318, 2513]}], [[3680, 1329, 6], {'canvas': [1329, 3680], 'matrix': [0, 1, -1, 0, 1329, 0]}]]]\nlabels = [\"regression: tag 6 translation\", \"repair trap\", \"combined fault\", \"control\", \"control\", \"boundary\", \"boundary\", \"control\"]\nfor i, (args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (labels[i % len(labels)], i), solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"fixed":{"sha256":"eb43c056ab4834d5b326f1f9fe3675c680876a9faf565ca6d63ac49ddaa1318f","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    w, h, tag = x\n    if tag not in (1, 2, 3, 4, 5, 6, 7, 8):\n        tag = 1\n    if tag == 1:\n        mat = [1, 0, 0, 1, 0, 0]\n    elif tag == 2:\n        mat = [-1, 0, 0, 1, w, 0]\n    elif tag == 3:\n        mat = [-1, 0, 0, -1, w, h]\n    elif tag == 4:\n        mat = [1, 0, 0, -1, 0, h]\n    elif tag == 5:\n        mat = [0, 1, 1, 0, 0, 0]\n    elif tag == 6:\n        mat = [0, 1, -1, 0, h, 0]\n    elif tag == 7:\n        mat = [0, -1, -1, 0, h, w]\n    else:\n        mat = [0, -1, 1, 0, 0, w]\n    canvas = [h, w] if tag >= 5 else [w, h]\n    return {'canvas': canvas, 'matrix': mat}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[[889, 2551, 6], {'canvas': [2551, 889], 'matrix': [0, 1, -1, 0, 2551, 0]}], [[3995, 1348, 6], {'canvas': [1348, 3995], 'matrix': [0, 1, -1, 0, 1348, 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]}], [[954, 2041, 6], {'canvas': [2041, 954], 'matrix': [0, 1, -1, 0, 2041, 0]}]], [[[1194, 3699, 6], {'canvas': [3699, 1194], 'matrix': [0, 1, -1, 0, 3699, 0]}], [[608, 1768, 6], {'canvas': [1768, 608], 'matrix': [0, 1, -1, 0, 1768, 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]}], [[1679, 3857, 0], {'canvas': [1679, 3857], 'matrix': [1, 0, 0, 1, 0, 0]}], [[2880, 3643, 3], {'canvas': [2880, 3643], 'matrix': [-1, 0, 0, -1, 2880, 3643]}], [[2257, 2995, 6], {'canvas': [2995, 2257], 'matrix': [0, 1, -1, 0, 2995, 0]}]], [[[2671, 433, 6], {'canvas': [433, 2671], 'matrix': [0, 1, -1, 0, 433, 0]}], [[1055, 2739, 6], {'canvas': [2739, 1055], 'matrix': [0, 1, -1, 0, 2739, 0]}], [[2580, 3384, 7], {'canvas': [3384, 2580], 'matrix': [0, -1, -1, 0, 3384, 2580]}], [[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]}], [[1506, 1188, 8], {'canvas': [1188, 1506], 'matrix': [0, -1, 1, 0, 0, 1506]}], [[576, 1460, 6], {'canvas': [1460, 576], 'matrix': [0, 1, -1, 0, 1460, 0]}]], [[[2323, 1102, 6], {'canvas': [1102, 2323], 'matrix': [0, 1, -1, 0, 1102, 0]}], [[3065, 2806, 6], {'canvas': [2806, 3065], 'matrix': [0, 1, -1, 0, 2806, 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]}], [[180, 3433, 6], {'canvas': [3433, 180], 'matrix': [0, 1, -1, 0, 3433, 0]}]], [[[3353, 2830, 6], {'canvas': [2830, 3353], 'matrix': [0, 1, -1, 0, 2830, 0]}], [[1744, 2845, 6], {'canvas': [2845, 1744], 'matrix': [0, 1, -1, 0, 2845, 0]}], [[3666, 647, 2], {'canvas': [3666, 647], 'matrix': [-1, 0, 0, 1, 3666, 0]}], [[3653, 369, 3], {'canvas': [3653, 369], 'matrix': [-1, 0, 0, -1, 3653, 369]}], [[439, 1611, 8], {'canvas': [1611, 439], 'matrix': [0, -1, 1, 0, 0, 439]}], [[2083, 1309, 2], {'canvas': [2083, 1309], 'matrix': [-1, 0, 0, 1, 2083, 0]}], [[318, 2513, 3], {'canvas': [318, 2513], 'matrix': [-1, 0, 0, -1, 318, 2513]}], [[3680, 1329, 6], {'canvas': [1329, 3680], 'matrix': [0, 1, -1, 0, 1329, 0]}]]]\nlabels = [\"regression: tag 6 translation\", \"repair trap\", \"combined fault\", \"control\", \"control\", \"boundary\", \"boundary\", \"control\"]\nfor i, (args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (labels[i % len(labels)], i), solve(args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"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.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"w2-image-orientation-metadata-canvas-set-transform-tag6-translation","generated_at":"2026-09-29T14:49:41.891152+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"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.","repair":"Translate by h for tag 6 so x' = h - y.","root_cause":"After x' = -y the drawing must be shifted by the stored height, but the width is used.","sha256":"f3ca59cd5cc7cc52ce747841c31bc53def8bab594127891a7e1610b107ae9bc8","title":"Canvas rotation for tag 6 translates by the image width · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":41.572,"exit_code":1,"observations":[{"actual":{"canvas":[2551,889],"matrix":[0,1,-1,0,2550,0]},"check":"regression: tag 6 translation 0","expected":{"canvas":[2551,889],"matrix":[0,1,-1,0,2551,0]},"passed":false},{"actual":{"canvas":[1348,3995],"matrix":[0,1,-1,0,1347,0]},"check":"repair trap 1","expected":{"canvas":[1348,3995],"matrix":[0,1,-1,0,1348,0]},"passed":false},{"actual":{"canvas":[3307,2787],"matrix":[-1,0,0,-1,3307,2787]},"check":"combined fault 2","expected":{"canvas":[3307,2787],"matrix":[-1,0,0,-1,3307,2787]},"passed":true},{"actual":{"canvas":[2954,1709],"matrix":[1,0,0,1,0,0]},"check":"control 3","expected":{"canvas":[2954,1709],"matrix":[1,0,0,1,0,0]},"passed":true},{"actual":{"canvas":[58,1879],"matrix":[-1,0,0,-1,58,1879]},"check":"control 4","expected":{"canvas":[58,1879],"matrix":[-1,0,0,-1,58,1879]},"passed":true},{"actual":{"canvas":[2834,740],"matrix":[1,0,0,1,0,0]},"check":"boundary 5","expected":{"canvas":[2834,740],"matrix":[1,0,0,1,0,0]},"passed":true},{"actual":{"canvas":[1990,1071],"matrix":[1,0,0,-1,0,1071]},"check":"boundary 6","expected":{"canvas":[1990,1071],"matrix":[1,0,0,-1,0,1071]},"passed":true},{"actual":{"canvas":[2041,954],"matrix":[0,1,-1,0,2040,0]},"check":"control 7","expected":{"canvas":[2041,954],"matrix":[0,1,-1,0,2041,0]},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: tag 6 translation 0\", \"actual\": {\"canvas\": [2551, 889], \"matrix\": [0, 1, -1, 0, 2550, 0]}, \"expected\": {\"canvas\": [2551, 889], \"matrix\": [0, 1, -1, 0, 2551, 0]}, \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": {\"canvas\": [1348, 3995], \"matrix\": [0, 1, -1, 0, 1347, 0]}, \"expected\": {\"canvas\": [1348, 3995], \"matrix\": [0, 1, -1, 0, 1348, 0]}, \"passed\": false}, {\"check\": \"combined fault 2\", \"actual\": {\"canvas\": [3307, 2787], \"matrix\": [-1, 0, 0, -1, 3307, 2787]}, \"expected\": {\"canvas\": [3307, 2787], \"matrix\": [-1, 0, 0, -1, 3307, 2787]}, \"passed\": true}, {\"check\": \"control 3\", \"actual\": {\"canvas\": [2954, 1709], \"matrix\": [1, 0, 0, 1, 0, 0]}, \"expected\": {\"canvas\": [2954, 1709], \"matrix\": [1, 0, 0, 1, 0, 0]}, \"passed\": true}, {\"check\": \"control 4\", \"actual\": {\"canvas\": [58, 1879], \"matrix\": [-1, 0, 0, -1, 58, 1879]}, \"expected\": {\"canvas\": [58, 1879], \"matrix\": [-1, 0, 0, -1, 58, 1879]}, \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": {\"canvas\": [2834, 740], \"matrix\": [1, 0, 0, 1, 0, 0]}, \"expected\": {\"canvas\": [2834, 740], \"matrix\": [1, 0, 0, 1, 0, 0]}, \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": {\"canvas\": [1990, 1071], \"matrix\": [1, 0, 0, -1, 0, 1071]}, \"expected\": {\"canvas\": [1990, 1071], \"matrix\": [1, 0, 0, -1, 0, 1071]}, \"passed\": true}, {\"check\": \"control 7\", \"actual\": {\"canvas\": [2041, 954], \"matrix\": [0, 1, -1, 0, 2040, 0]}, \"expected\": {\"canvas\": [2041, 954], \"matrix\": [0, 1, -1, 0, 2041, 0]}, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.107,"exit_code":1,"observations":[{"actual":{"canvas":[2551,889],"matrix":[0,1,-1,0,889,0]},"check":"regression: tag 6 translation 0","expected":{"canvas":[2551,889],"matrix":[0,1,-1,0,2551,0]},"passed":false},{"actual":{"canvas":[1348,3995],"matrix":[0,1,-1,0,3995,0]},"check":"repair trap 1","expected":{"canvas":[1348,3995],"matrix":[0,1,-1,0,1348,0]},"passed":false},{"actual":{"canvas":[3307,2787],"matrix":[-1,0,0,-1,3307,2787]},"check":"combined fault 2","expected":{"canvas":[3307,2787],"matrix":[-1,0,0,-1,3307,2787]},"passed":true},{"actual":{"canvas":[2954,1709],"matrix":[1,0,0,1,0,0]},"check":"control 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