{"abstract":"Counter-clockwise photos are cut off at the bottom of the canvas.","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.","contract_signature":"x","evaluation_group":"w2-image-orientation-metadata-canvas-set-transform","failed_approach":"Flipping both rotation signs turns the matrix into a clockwise turn shifted the wrong way.","family":"w2-image-orientation-metadata-canvas-set-transform-tag8-translation","id":"FA-79176","implementations":{"attempt":{"sha256":"d8676ce220d77cff64ebb4f3c80d604cb8e9f6d65d54928e9d93662a2be333a5","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 = [[[[1435, 891, 8], {'canvas': [891, 1435], 'matrix': [0, -1, 1, 0, 0, 1435]}], [[2552, 2696, 8], {'canvas': [2696, 2552], 'matrix': [0, -1, 1, 0, 0, 2552]}], [[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]}], [[1404, 2174, 8], {'canvas': [2174, 1404], 'matrix': [0, -1, 1, 0, 0, 1404]}]], [[[573, 2362, 8], {'canvas': [2362, 573], 'matrix': [0, -1, 1, 0, 0, 573]}], [[3240, 3198, 8], {'canvas': [3198, 3240], 'matrix': [0, -1, 1, 0, 0, 3240]}], [[2349, 3183, 4], {'canvas': [2349, 3183], 'matrix': [1, 0, 0, -1, 0, 3183]}], [[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]}], [[1194, 3699, 6], {'canvas': [3699, 1194], 'matrix': [0, 1, -1, 0, 3699, 0]}], [[3117, 2247, 8], {'canvas': [2247, 3117], 'matrix': [0, -1, 1, 0, 0, 3117]}]], [[[3582, 1031, 8], {'canvas': [1031, 3582], 'matrix': [0, -1, 1, 0, 0, 3582]}], [[2823, 328, 8], {'canvas': [328, 2823], 'matrix': [0, -1, 1, 0, 0, 2823]}], [[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]}], [[1397, 2252, 8], {'canvas': [2252, 1397], 'matrix': [0, -1, 1, 0, 0, 1397]}]], [[[3353, 3003, 8], {'canvas': [3003, 3353], 'matrix': [0, -1, 1, 0, 0, 3353]}], [[715, 3871, 8], {'canvas': [3871, 715], 'matrix': [0, -1, 1, 0, 0, 715]}], [[1728, 2634, 3], {'canvas': [1728, 2634], 'matrix': [-1, 0, 0, -1, 1728, 2634]}], [[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]}], [[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]}], [[2003, 798, 8], {'canvas': [798, 2003], 'matrix': [0, -1, 1, 0, 0, 2003]}]], [[[2368, 85, 8], {'canvas': [85, 2368], 'matrix': [0, -1, 1, 0, 0, 2368]}], [[1473, 484, 8], {'canvas': [484, 1473], 'matrix': [0, -1, 1, 0, 0, 1473]}], [[663, 894, 6], {'canvas': [894, 663], 'matrix': [0, 1, -1, 0, 894, 0]}], [[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]}], [[2840, 2668, 9], {'canvas': [2840, 2668], 'matrix': [1, 0, 0, 1, 0, 0]}], [[3326, 1192, 2], {'canvas': [3326, 1192], 'matrix': [-1, 0, 0, 1, 3326, 0]}], [[1575, 215, 8], {'canvas': [215, 1575], 'matrix': [0, -1, 1, 0, 0, 1575]}]]]\nlabels = [\"regression: tag 8 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":"d7e26ac8b848137bc1bb94c2aa958645e50fd98dcb1e40ff2cc219239a494821","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, h]\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 = [[[[1435, 891, 8], {'canvas': [891, 1435], 'matrix': [0, -1, 1, 0, 0, 1435]}], [[2552, 2696, 8], {'canvas': [2696, 2552], 'matrix': [0, -1, 1, 0, 0, 2552]}], [[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]}], [[1404, 2174, 8], {'canvas': [2174, 1404], 'matrix': [0, -1, 1, 0, 0, 1404]}]], [[[573, 2362, 8], {'canvas': [2362, 573], 'matrix': [0, -1, 1, 0, 0, 573]}], [[3240, 3198, 8], {'canvas': [3198, 3240], 'matrix': [0, -1, 1, 0, 0, 3240]}], [[2349, 3183, 4], {'canvas': [2349, 3183], 'matrix': [1, 0, 0, -1, 0, 3183]}], [[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]}], [[1194, 3699, 6], {'canvas': [3699, 1194], 'matrix': [0, 1, -1, 0, 3699, 0]}], [[3117, 2247, 8], {'canvas': [2247, 3117], 'matrix': [0, -1, 1, 0, 0, 3117]}]], [[[3582, 1031, 8], {'canvas': [1031, 3582], 'matrix': [0, -1, 1, 0, 0, 3582]}], [[2823, 328, 8], {'canvas': [328, 2823], 'matrix': [0, -1, 1, 0, 0, 2823]}], [[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]}], [[1397, 2252, 8], {'canvas': [2252, 1397], 'matrix': [0, -1, 1, 0, 0, 1397]}]], [[[3353, 3003, 8], {'canvas': [3003, 3353], 'matrix': [0, -1, 1, 0, 0, 3353]}], [[715, 3871, 8], {'canvas': [3871, 715], 'matrix': [0, -1, 1, 0, 0, 715]}], [[1728, 2634, 3], {'canvas': [1728, 2634], 'matrix': [-1, 0, 0, -1, 1728, 2634]}], [[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]}], [[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]}], [[2003, 798, 8], {'canvas': [798, 2003], 'matrix': [0, -1, 1, 0, 0, 2003]}]], [[[2368, 85, 8], {'canvas': [85, 2368], 'matrix': [0, -1, 1, 0, 0, 2368]}], [[1473, 484, 8], {'canvas': [484, 1473], 'matrix': [0, -1, 1, 0, 0, 1473]}], [[663, 894, 6], {'canvas': [894, 663], 'matrix': [0, 1, -1, 0, 894, 0]}], [[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]}], [[2840, 2668, 9], {'canvas': [2840, 2668], 'matrix': [1, 0, 0, 1, 0, 0]}], [[3326, 1192, 2], {'canvas': [3326, 1192], 'matrix': [-1, 0, 0, 1, 3326, 0]}], [[1575, 215, 8], {'canvas': [215, 1575], 'matrix': [0, -1, 1, 0, 0, 1575]}]]]\nlabels = [\"regression: tag 8 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-tag8-translation","generated_at":"2026-09-29T14:49:42.144803+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.","root_cause":"y' = w - x needs a translation of w, but h is used.","sha256":"898c7f10e9f5c66bb56c5f9d0409302e5dc047a4df09a5868444765ca3445a70","title":"Canvas rotation for tag 8 shifts by the height · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":38.395,"exit_code":1,"observations":[{"actual":{"canvas":[891,1435],"matrix":[0,1,-1,0,0,1435]},"check":"regression: tag 8 translation 0","expected":{"canvas":[891,1435],"matrix":[0,-1,1,0,0,1435]},"passed":false},{"actual":{"canvas":[2696,2552],"matrix":[0,1,-1,0,0,2552]},"check":"repair trap 1","expected":{"canvas":[2696,2552],"matrix":[0,-1,1,0,0,2552]},"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":[2174,1404],"matrix":[0,1,-1,0,0,1404]},"check":"control 7","expected":{"canvas":[2174,1404],"matrix":[0,-1,1,0,0,1404]},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: tag 8 translation 0\", \"actual\": {\"canvas\": [891, 1435], \"matrix\": [0, 1, -1, 0, 0, 1435]}, \"expected\": {\"canvas\": [891, 1435], \"matrix\": [0, -1, 1, 0, 0, 1435]}, \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": {\"canvas\": [2696, 2552], \"matrix\": [0, 1, -1, 0, 0, 2552]}, \"expected\": {\"canvas\": [2696, 2552], \"matrix\": [0, -1, 1, 0, 0, 2552]}, \"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\": [2174, 1404], \"matrix\": [0, 1, -1, 0, 0, 1404]}, \"expected\": {\"canvas\": [2174, 1404], \"matrix\": [0, -1, 1, 0, 0, 1404]}, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":39.781,"exit_code":1,"observations":[{"actual":{"canvas":[891,1435],"matrix":[0,-1,1,0,0,891]},"check":"regression: tag 8 translation 0","expected":{"canvas":[891,1435],"matrix":[0,-1,1,0,0,1435]},"passed":false},{"actual":{"canvas":[2696,2552],"matrix":[0,-1,1,0,0,2696]},"check":"repair trap 1","expected":{"canvas":[2696,2552],"matrix":[0,-1,1,0,0,2552]},"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":[2174,1404],"matrix":[0,-1,1,0,0,2174]},"check":"control 7","expected":{"canvas":[2174,1404],"matrix":[0,-1,1,0,0,1404]},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: tag 8 translation 0\", \"actual\": {\"canvas\": [891, 1435], \"matrix\": [0, -1, 1, 0, 0, 891]}, \"expected\": {\"canvas\": [891, 1435], \"matrix\": [0, -1, 1, 0, 0, 1435]}, \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": {\"canvas\": [2696, 2552], \"matrix\": [0, -1, 1, 0, 0, 2696]}, \"expected\": {\"canvas\": [2696, 2552], \"matrix\": [0, -1, 1, 0, 0, 2552]}, \"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\": [2174, 1404], \"matrix\": [0, -1, 1, 0, 0, 2174]}, \"expected\": {\"canvas\": [2174, 1404], \"matrix\": [0, -1, 1, 0, 0, 1404]}, \"passed\": false}], \"passed\": false}\n"}},"member_only":{"stages":["fixed"],"fields":["implementations.fixed","verification.fixed","harness","repair"],"note":"The verified repair, its recorded checks, the repair description, and the scoring harness are available to members."}}