{"abstract":"Tag 5 and 7 images are clipped into a canvas with the stored aspect ratio.","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":"A strict > 5 test still gives tag 5 the wrong canvas.","family":"w2-image-orientation-metadata-canvas-set-transform-canvas-swap","id":"FA-79191","implementations":{"attempt":{"sha256":"4f432bfc0c4eaabccce0742b01bedc5d99958385e94954e43b479f4985a9270c","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 = [[[[1105, 1652, 7], {'canvas': [1652, 1105], 'matrix': [0, -1, -1, 0, 1652, 1105]}], [[3867, 2058, 5], {'canvas': [2058, 3867], 'matrix': [0, 1, 1, 0, 0, 0]}], [[2427, 2642, 5], {'canvas': [2642, 2427], 'matrix': [0, 1, 1, 0, 0, 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]}], [[2907, 3052, 7], {'canvas': [3052, 2907], 'matrix': [0, -1, -1, 0, 3052, 2907]}]], [[[704, 1878, 5], {'canvas': [1878, 704], 'matrix': [0, 1, 1, 0, 0, 0]}], [[985, 209, 5], {'canvas': [209, 985], 'matrix': [0, 1, 1, 0, 0, 0]}], [[3732, 1579, 5], {'canvas': [1579, 3732], 'matrix': [0, 1, 1, 0, 0, 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]}], [[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]}], [[3503, 2694, 7], {'canvas': [2694, 3503], 'matrix': [0, -1, -1, 0, 2694, 3503]}]], [[[1512, 3919, 5], {'canvas': [3919, 1512], 'matrix': [0, 1, 1, 0, 0, 0]}], [[2650, 517, 5], {'canvas': [517, 2650], 'matrix': [0, 1, 1, 0, 0, 0]}], [[107, 2903, 5], {'canvas': [2903, 107], 'matrix': [0, 1, 1, 0, 0, 0]}], [[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]}], [[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]}], [[1553, 978, 5], {'canvas': [978, 1553], 'matrix': [0, 1, 1, 0, 0, 0]}]], [[[3691, 1925, 7], {'canvas': [1925, 3691], 'matrix': [0, -1, -1, 0, 1925, 3691]}], [[23, 863, 5], {'canvas': [863, 23], 'matrix': [0, 1, 1, 0, 0, 0]}], [[274, 1272, 5], {'canvas': [1272, 274], 'matrix': [0, 1, 1, 0, 0, 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]}], [[1888, 3423, 4], {'canvas': [1888, 3423], 'matrix': [1, 0, 0, -1, 0, 3423]}], [[3842, 908, 7], {'canvas': [908, 3842], 'matrix': [0, -1, -1, 0, 908, 3842]}]], [[[3098, 2016, 5], {'canvas': [2016, 3098], 'matrix': [0, 1, 1, 0, 0, 0]}], [[552, 6, 5], {'canvas': [6, 552], 'matrix': [0, 1, 1, 0, 0, 0]}], [[81, 1151, 5], {'canvas': [1151, 81], 'matrix': [0, 1, 1, 0, 0, 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]}], [[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]}], [[2637, 3642, 5], {'canvas': [3642, 2637], 'matrix': [0, 1, 1, 0, 0, 0]}]]]\nlabels = [\"regression: canvas dimension swap\", \"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":"1c2ee39e8559799f582bc17e42ff5031986a2521af3ef3d0f93cbc8dc48812a0","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 in (6, 8) 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 = [[[[1105, 1652, 7], {'canvas': [1652, 1105], 'matrix': [0, -1, -1, 0, 1652, 1105]}], [[3867, 2058, 5], {'canvas': [2058, 3867], 'matrix': [0, 1, 1, 0, 0, 0]}], [[2427, 2642, 5], {'canvas': [2642, 2427], 'matrix': [0, 1, 1, 0, 0, 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]}], [[2907, 3052, 7], {'canvas': [3052, 2907], 'matrix': [0, -1, -1, 0, 3052, 2907]}]], [[[704, 1878, 5], {'canvas': [1878, 704], 'matrix': [0, 1, 1, 0, 0, 0]}], [[985, 209, 5], {'canvas': [209, 985], 'matrix': [0, 1, 1, 0, 0, 0]}], [[3732, 1579, 5], {'canvas': [1579, 3732], 'matrix': [0, 1, 1, 0, 0, 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]}], [[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]}], [[3503, 2694, 7], {'canvas': [2694, 3503], 'matrix': [0, -1, -1, 0, 2694, 3503]}]], [[[1512, 3919, 5], {'canvas': [3919, 1512], 'matrix': [0, 1, 1, 0, 0, 0]}], [[2650, 517, 5], {'canvas': [517, 2650], 'matrix': [0, 1, 1, 0, 0, 0]}], [[107, 2903, 5], {'canvas': [2903, 107], 'matrix': [0, 1, 1, 0, 0, 0]}], [[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]}], [[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]}], [[1553, 978, 5], {'canvas': [978, 1553], 'matrix': [0, 1, 1, 0, 0, 0]}]], [[[3691, 1925, 7], {'canvas': [1925, 3691], 'matrix': [0, -1, -1, 0, 1925, 3691]}], [[23, 863, 5], {'canvas': [863, 23], 'matrix': [0, 1, 1, 0, 0, 0]}], [[274, 1272, 5], {'canvas': [1272, 274], 'matrix': [0, 1, 1, 0, 0, 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]}], [[1888, 3423, 4], {'canvas': [1888, 3423], 'matrix': [1, 0, 0, -1, 0, 3423]}], [[3842, 908, 7], {'canvas': [908, 3842], 'matrix': [0, -1, -1, 0, 908, 3842]}]], [[[3098, 2016, 5], {'canvas': [2016, 3098], 'matrix': [0, 1, 1, 0, 0, 0]}], [[552, 6, 5], {'canvas': [6, 552], 'matrix': [0, 1, 1, 0, 0, 0]}], [[81, 1151, 5], {'canvas': [1151, 81], 'matrix': [0, 1, 1, 0, 0, 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]}], [[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]}], [[2637, 3642, 5], {'canvas': [3642, 2637], 'matrix': [0, 1, 1, 0, 0, 0]}]]]\nlabels = [\"regression: canvas dimension swap\", \"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":"d1b8fe0e0faf4026ca3fb7b509ce549f73e74fb3e4fbdbfc38aa970d0acc0e3e","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 = [[[[1105, 1652, 7], {'canvas': [1652, 1105], 'matrix': [0, -1, -1, 0, 1652, 1105]}], [[3867, 2058, 5], {'canvas': [2058, 3867], 'matrix': [0, 1, 1, 0, 0, 0]}], [[2427, 2642, 5], {'canvas': [2642, 2427], 'matrix': [0, 1, 1, 0, 0, 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]}], [[2907, 3052, 7], {'canvas': [3052, 2907], 'matrix': [0, -1, -1, 0, 3052, 2907]}]], [[[704, 1878, 5], {'canvas': [1878, 704], 'matrix': [0, 1, 1, 0, 0, 0]}], [[985, 209, 5], {'canvas': [209, 985], 'matrix': [0, 1, 1, 0, 0, 0]}], [[3732, 1579, 5], {'canvas': [1579, 3732], 'matrix': [0, 1, 1, 0, 0, 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]}], [[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]}], [[3503, 2694, 7], {'canvas': [2694, 3503], 'matrix': [0, -1, -1, 0, 2694, 3503]}]], [[[1512, 3919, 5], {'canvas': [3919, 1512], 'matrix': [0, 1, 1, 0, 0, 0]}], [[2650, 517, 5], {'canvas': [517, 2650], 'matrix': [0, 1, 1, 0, 0, 0]}], [[107, 2903, 5], {'canvas': [2903, 107], 'matrix': [0, 1, 1, 0, 0, 0]}], [[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]}], [[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]}], [[1553, 978, 5], {'canvas': [978, 1553], 'matrix': [0, 1, 1, 0, 0, 0]}]], [[[3691, 1925, 7], {'canvas': [1925, 3691], 'matrix': [0, -1, -1, 0, 1925, 3691]}], [[23, 863, 5], {'canvas': [863, 23], 'matrix': [0, 1, 1, 0, 0, 0]}], [[274, 1272, 5], {'canvas': [1272, 274], 'matrix': [0, 1, 1, 0, 0, 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]}], [[1888, 3423, 4], {'canvas': [1888, 3423], 'matrix': [1, 0, 0, -1, 0, 3423]}], [[3842, 908, 7], {'canvas': [908, 3842], 'matrix': [0, -1, -1, 0, 908, 3842]}]], [[[3098, 2016, 5], {'canvas': [2016, 3098], 'matrix': [0, 1, 1, 0, 0, 0]}], [[552, 6, 5], {'canvas': [6, 552], 'matrix': [0, 1, 1, 0, 0, 0]}], [[81, 1151, 5], {'canvas': [1151, 81], 'matrix': [0, 1, 1, 0, 0, 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]}], [[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]}], [[2637, 3642, 5], {'canvas': [3642, 2637], 'matrix': [0, 1, 1, 0, 0, 0]}]]]\nlabels = [\"regression: canvas dimension swap\", \"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-canvas-swap","generated_at":"2026-09-29T14:49:42.404329+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":"Use an [h, w] canvas for tags 5 through 8.","root_cause":"The canvas is resized only for the pure rotations.","sha256":"48cef5fe1d9d2b8b5083f156339405dd936ed383e038020b5ff95ee4f780a6f4","title":"Canvas keeps stored size for transpose tags · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":41.17,"exit_code":1,"observations":[{"actual":{"canvas":[1652,1105],"matrix":[0,-1,-1,0,1652,1105]},"check":"regression: canvas dimension swap 0","expected":{"canvas":[1652,1105],"matrix":[0,-1,-1,0,1652,1105]},"passed":true},{"actual":{"canvas":[3867,2058],"matrix":[0,1,1,0,0,0]},"check":"repair trap 1","expected":{"canvas":[2058,3867],"matrix":[0,1,1,0,0,0]},"passed":false},{"actual":{"canvas":[2427,2642],"matrix":[0,1,1,0,0,0]},"check":"combined fault 2","expected":{"canvas":[2642,2427],"matrix":[0,1,1,0,0,0]},"passed":false},{"actual":{"canvas":[3307,2787],"matrix":[-1,0,0,-1,3307,2787]},"check":"control 3","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 4","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":"boundary 5","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 6","expected":{"canvas":[2834,740],"matrix":[1,0,0,1,0,0]},"passed":true},{"actual":{"canvas":[3052,2907],"matrix":[0,-1,-1,0,3052,2907]},"check":"control 7","expected":{"canvas":[3052,2907],"matrix":[0,-1,-1,0,3052,2907]},"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: canvas dimension swap 0\", \"actual\": {\"canvas\": [1652, 1105], \"matrix\": [0, -1, -1, 0, 1652, 1105]}, \"expected\": {\"canvas\": [1652, 1105], \"matrix\": [0, -1, -1, 0, 1652, 1105]}, \"passed\": true}, {\"check\": \"repair trap 1\", \"actual\": {\"canvas\": [3867, 2058], \"matrix\": [0, 1, 1, 0, 0, 0]}, \"expected\": {\"canvas\": [2058, 3867], \"matrix\": [0, 1, 1, 0, 0, 0]}, \"passed\": false}, {\"check\": \"combined fault 2\", \"actual\": {\"canvas\": [2427, 2642], \"matrix\": [0, 1, 1, 0, 0, 0]}, \"expected\": {\"canvas\": [2642, 2427], \"matrix\": [0, 1, 1, 0, 0, 0]}, \"passed\": false}, {\"check\": \"control 3\", \"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 4\", \"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\": \"boundary 5\", \"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 6\", \"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\": \"control 7\", \"actual\": {\"canvas\": [3052, 2907], \"matrix\": [0, -1, -1, 0, 3052, 2907]}, \"expected\": {\"canvas\": [3052, 2907], \"matrix\": [0, -1, -1, 0, 3052, 2907]}, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":40.229,"exit_code":1,"observations":[{"actual":{"canvas":[1105,1652],"matrix":[0,-1,-1,0,1652,1105]},"check":"regression: canvas dimension swap 0","expected":{"canvas":[1652,1105],"matrix":[0,-1,-1,0,1652,1105]},"passed":false},{"actual":{"canvas":[3867,2058],"matrix":[0,1,1,0,0,0]},"check":"repair trap 1","expected":{"canvas":[2058,3867],"matrix":[0,1,1,0,0,0]},"passed":false},{"actual":{"canvas":[2427,2642],"matrix":[0,1,1,0,0,0]},"check":"combined fault 2","expected":{"canvas":[2642,2427],"matrix":[0,1,1,0,0,0]},"passed":false},{"actual":{"canvas":[3307,2787],"matrix":[-1,0,0,-1,3307,2787]},"check":"control 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