{"abstract":"A face box partly above or left of the frame becomes larger after clipping.","category":"Image orientation metadata","checks":8,"contract":"Map a half-open face/crop region [x, y, width, height] given in stored pixel space of an image of size [w, h] into displayed space for orientation tag 1..8. The region is first clipped to the stored image; an empty clipped region returns None, and an unknown tag returns None. Mirroring a half-open interval [a, b) over extent e gives [e-b, e-a); tags 5..8 exchange axes after the flips.","contract_signature":"size, tag, box","evaluation_group":"w2-image-orientation-metadata-region-box","failed_approach":"Fixing the order only for x still grows boxes that start above the frame.","family":"w2-image-orientation-metadata-region-box-clip-order","id":"FA-78891","implementations":{"attempt":{"sha256":"fcc3b70cdfed5b756538ba1ad65fc1cb185cabc79f57f2c33d835c7a1ccc9072","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(size, tag, box):\n    w, h = size\n    x0, y0, bw, bh = box\n    x0 = max(x0, 0)\n    x1 = min(x0 + bw, w)\n    y1 = min(y0 + bh, h)\n    y0 = max(y0, 0)\n    if x1 <= x0 or y1 <= y0:\n        return None\n    table = {1: (0, 0, 0), 2: (1, 0, 0), 3: (1, 1, 0), 4: (0, 1, 0), 5: (0, 0, 1), 6: (0, 1, 1), 7: (1, 1, 1), 8: (1, 0, 1)}\n    if tag not in table:\n        return None\n    fx, fy, tr = table[tag]\n    if fx:\n        x0, x1 = w - x1, w - x0\n    if fy:\n        y0, y1 = h - y1, h - y0\n    if tr:\n        x0, y0, x1, y1 = y0, x0, y1, x1\n    return [x0, y0, x1 - x0, y1 - y0]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[([5, 1], 6, [-3, -2, 5, 4]), [0, 0, 1, 2]], [([5, 4], 1, [-2, 2, 5, 5]), [0, 2, 3, 2]], [([7, 5], 1, [6, -1, 4, 0]), None], [([3, 4], 3, [-2, 3, 0, 2]), None], [([2, 4], 8, [2, 1, 3, 3]), None], [([2, 6], 6, [4, -1, 1, 4]), None], [([2, 4], 4, [-1, 5, 2, 4]), None], [([2, 4], 7, [1, -3, 3, 3]), None]], [[([6, 6], 4, [-3, 4, 2, 4]), None], [([2, 4], 7, [-3, -2, 2, 5]), None], [([3, 5], 0, [-3, -2, 2, 4]), None], [([3, 1], 1, [2, 2, 2, 0]), None], [([4, 1], 3, [6, 3, 2, 4]), None], [([5, 5], 6, [6, 3, 5, 0]), None], [([4, 5], 1, [1, 2, 5, 4]), [1, 2, 3, 3]], [([7, 3], 5, [0, -1, 2, 2]), [0, 0, 1, 2]]], [[([6, 1], 1, [-2, -3, 5, 3]), None], [([7, 4], 8, [-3, 1, 2, 2]), None], [([3, 7], 7, [-3, 2, 2, 3]), None], [([4, 5], 8, [2, -2, 0, 2]), None], [([6, 4], 6, [2, 1, 3, 4]), [0, 2, 3, 3]], [([1, 5], 9, [2, 3, 4, 4]), None], [([6, 1], 2, [2, 1, 3, 0]), None], [([6, 3], 8, [-2, -3, 4, 3]), None]], [[([7, 2], 8, [4, -2, 1, 2]), None], [([6, 2], 2, [-1, 1, 5, 5]), [2, 1, 4, 1]], [([4, 5], 8, [-1, -2, 1, 4]), None], [([3, 7], 7, [-1, 6, 2, 0]), None], [([3, 6], 8, [6, -2, 2, 3]), None], [([7, 7], 2, [-2, 0, 0, 4]), None], [([2, 5], 1, [1, 6, 5, 2]), None], [([5, 6], 2, [-2, 1, 1, 4]), None]], [[([1, 7], 6, [-3, -3, 2, 5]), None], [([2, 7], 8, [-2, 2, 2, 1]), None], [([5, 6], 7, [-2, 2, 3, 5]), [0, 4, 4, 1]], [([1, 1], 7, [1, -3, 2, 0]), None], [([4, 5], 6, [1, 3, 0, 5]), None], [([4, 1], 0, [2, 4, 5, 5]), None], [([6, 7], 7, [6, 0, 3, 1]), None], [([3, 2], 8, [-2, -1, 5, 1]), None]]]\nlabels = [\"regression: clip before computing far edge\", \"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":"823de6b7236d4c5b74ce2d86d5e476cf2f158a1c5055f284cab5e1753453ece9","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(size, tag, box):\n    w, h = size\n    x0, y0, bw, bh = box\n    x0 = max(x0, 0)\n    y0 = max(y0, 0)\n    x1 = min(x0 + bw, w)\n    y1 = min(y0 + bh, h)\n    if x1 <= x0 or y1 <= y0:\n        return None\n    table = {1: (0, 0, 0), 2: (1, 0, 0), 3: (1, 1, 0), 4: (0, 1, 0), 5: (0, 0, 1), 6: (0, 1, 1), 7: (1, 1, 1), 8: (1, 0, 1)}\n    if tag not in table:\n        return None\n    fx, fy, tr = table[tag]\n    if fx:\n        x0, x1 = w - x1, w - x0\n    if fy:\n        y0, y1 = h - y1, h - y0\n    if tr:\n        x0, y0, x1, y1 = y0, x0, y1, x1\n    return [x0, y0, x1 - x0, y1 - y0]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[([5, 1], 6, [-3, -2, 5, 4]), [0, 0, 1, 2]], [([5, 4], 1, [-2, 2, 5, 5]), [0, 2, 3, 2]], [([7, 5], 1, [6, -1, 4, 0]), None], [([3, 4], 3, [-2, 3, 0, 2]), None], [([2, 4], 8, [2, 1, 3, 3]), None], [([2, 6], 6, [4, -1, 1, 4]), None], [([2, 4], 4, [-1, 5, 2, 4]), None], [([2, 4], 7, [1, -3, 3, 3]), None]], [[([6, 6], 4, [-3, 4, 2, 4]), None], [([2, 4], 7, [-3, -2, 2, 5]), None], [([3, 5], 0, [-3, -2, 2, 4]), None], [([3, 1], 1, [2, 2, 2, 0]), None], [([4, 1], 3, [6, 3, 2, 4]), None], [([5, 5], 6, [6, 3, 5, 0]), None], [([4, 5], 1, [1, 2, 5, 4]), [1, 2, 3, 3]], [([7, 3], 5, [0, -1, 2, 2]), [0, 0, 1, 2]]], [[([6, 1], 1, [-2, -3, 5, 3]), None], [([7, 4], 8, [-3, 1, 2, 2]), None], [([3, 7], 7, [-3, 2, 2, 3]), None], [([4, 5], 8, [2, -2, 0, 2]), None], [([6, 4], 6, [2, 1, 3, 4]), [0, 2, 3, 3]], [([1, 5], 9, [2, 3, 4, 4]), None], [([6, 1], 2, [2, 1, 3, 0]), None], [([6, 3], 8, [-2, -3, 4, 3]), None]], [[([7, 2], 8, [4, -2, 1, 2]), None], [([6, 2], 2, [-1, 1, 5, 5]), [2, 1, 4, 1]], [([4, 5], 8, [-1, -2, 1, 4]), None], [([3, 7], 7, [-1, 6, 2, 0]), None], [([3, 6], 8, [6, -2, 2, 3]), None], [([7, 7], 2, [-2, 0, 0, 4]), None], [([2, 5], 1, [1, 6, 5, 2]), None], [([5, 6], 2, [-2, 1, 1, 4]), None]], [[([1, 7], 6, [-3, -3, 2, 5]), None], [([2, 7], 8, [-2, 2, 2, 1]), None], [([5, 6], 7, [-2, 2, 3, 5]), [0, 4, 4, 1]], [([1, 1], 7, [1, -3, 2, 0]), None], [([4, 5], 6, [1, 3, 0, 5]), None], [([4, 1], 0, [2, 4, 5, 5]), None], [([6, 7], 7, [6, 0, 3, 1]), None], [([3, 2], 8, [-2, -1, 5, 1]), None]]]\nlabels = [\"regression: clip before computing far edge\", \"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-region-box-clip-order","generated_at":"2026-09-29T14:49:39.326265+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":"The origin is clamped to zero before the far edge is computed, so the far edge moves outward by the clipped amount.","sha256":"4c351f8f1d602035fd4048a27bc9db3b96349e34236b1bb8524c23e36e9f0d38","title":"Region clipping grows boxes that start outside the image · 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":40.266,"exit_code":1,"observations":[{"actual":[0,0,1,5],"check":"regression: clip before computing far edge 0","expected":[0,0,1,2],"passed":false},{"actual":[0,2,5,2],"check":"repair trap 1","expected":[0,2,3,2],"passed":false},{"actual":null,"check":"combined fault 2","expected":null,"passed":true},{"actual":null,"check":"control 3","expected":null,"passed":true},{"actual":null,"check":"control 4","expected":null,"passed":true},{"actual":null,"check":"boundary 5","expected":null,"passed":true},{"actual":null,"check":"boundary 6","expected":null,"passed":true},{"actual":null,"check":"control 7","expected":null,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: clip before computing far edge 0\", \"actual\": [0, 0, 1, 5], \"expected\": [0, 0, 1, 2], \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": [0, 2, 5, 2], \"expected\": [0, 2, 3, 2], \"passed\": false}, {\"check\": \"combined fault 2\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"control 3\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"control 4\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"control 7\", \"actual\": null, \"expected\": null, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":37.976,"exit_code":1,"observations":[{"actual":[0,0,1,5],"check":"regression: clip before computing far edge 0","expected":[0,0,1,2],"passed":false},{"actual":[0,2,5,2],"check":"repair trap 1","expected":[0,2,3,2],"passed":false},{"actual":null,"check":"combined fault 2","expected":null,"passed":true},{"actual":null,"check":"control 3","expected":null,"passed":true},{"actual":null,"check":"control 4","expected":null,"passed":true},{"actual":null,"check":"boundary 5","expected":null,"passed":true},{"actual":null,"check":"boundary 6","expected":null,"passed":true},{"actual":[1,0,3,1],"check":"control 7","expected":null,"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: clip before computing far edge 0\", \"actual\": [0, 0, 1, 5], \"expected\": [0, 0, 1, 2], \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": [0, 2, 5, 2], \"expected\": [0, 2, 3, 2], \"passed\": false}, {\"check\": \"combined fault 2\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"control 3\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"control 4\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": null, \"expected\": null, \"passed\": true}, {\"check\": \"control 7\", \"actual\": [1, 0, 3, 1], \"expected\": null, \"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."}}