{"abstract":"Tag 5 and 7 thumbnails are sized as landscape when the photo displays as portrait.","category":"Image orientation metadata","checks":8,"contract":"Input [stored_w, stored_h, tag, box_w, box_h]. Compute the displayed thumbnail size: tags 5..8 swap the displayed dimensions (other values, including invalid tags, do not). Scale = min(box_w/dw, box_h/dh, 1) exactly (never upscale); each side is rounded half up and is at least 1 pixel.","evaluation_group":"w2-image-orientation-metadata-thumbnail-fit","failed_approach":"A >= 5 test also swaps invalid tags such as 9 that must be treated as 1.","family":"w2-image-orientation-metadata-thumbnail-fit-swap-tags","id":"FA-78976","implementations":{"attempt":{"sha256":"39b369dd537e871bdf73800af9e9e191b709e545aa2177b3284eb984e8c4153c","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(x):\n    w, h, tag, bw, bh = x\n    if tag >= 5:\n        w, h = h, w\n    s = min(Fraction(bw, w), Fraction(bh, h), Fraction(1))\n    tw = max(1, math.floor(w * s + Fraction(1, 2)))\n    th = max(1, math.floor(h * s + Fraction(1, 2)))\n    return [tw, th]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[[15, 2, 7, 10, 2], [1, 2]], [[57, 33, 9, 10, 5], [9, 5]], [[25, 2, 6, 76, 343], [2, 25]], [[3, 1, 6, 10, 10], [1, 3]], [[5, 2, 2, 10, 2], [5, 2]], [[15, 10, 8, 361, 38], [10, 15]], [[5, 4158, 8, 2, 2], [2, 1]], [[296, 2, 5, 16, 45], [1, 45]]], [[[17, 50, 7, 72, 27], [50, 17]], [[5, 2, 9, 10, 218], [5, 2]], [[5, 2, 1, 19, 25], [5, 2]], [[25, 7, 2, 2, 145], [2, 1]], [[15, 2, 0, 2, 2], [2, 1]], [[5, 4382, 0, 2, 337], [1, 337]], [[25, 7, 6, 2, 2], [1, 2]], [[4728, 23, 5, 14, 18], [1, 18]]], [[[3, 7, 7, 21, 10], [7, 3]], [[25, 2, 9, 37, 281], [25, 2]], [[152, 2, 2, 2, 10], [2, 1]], [[12, 1369, 3, 1, 30], [1, 30]], [[15, 1, 1, 11, 291], [11, 1]], [[2, 1, 3, 2, 2], [2, 1]], [[15, 1, 3, 2, 10], [2, 1]], [[3, 7, 7, 18, 2], [5, 2]]], [[[3936, 7, 5, 10, 31], [1, 31]], [[15, 3805, 9, 304, 7], [1, 7]], [[1283, 2, 6, 10, 2], [1, 2]], [[5, 2, 6, 18, 92], [2, 5]], [[5, 2, 8, 2, 10], [2, 5]], [[25, 1230, 1, 10, 10], [1, 10]], [[3, 5, 2, 2, 22], [2, 3]], [[15, 47, 5, 2, 49], [2, 1]]], [[[5, 4, 7, 297, 10], [4, 5]], [[25, 1721, 9, 40, 380], [6, 380]], [[25, 2, 4, 54, 2], [25, 2]], [[3018, 47, 4, 2, 10], [2, 1]], [[15, 1, 2, 14, 14], [14, 1]], [[2114, 2, 8, 15, 246], [1, 246]], [[5, 7, 6, 10, 2], [3, 2]], [[23, 49, 7, 23, 20], [23, 11]]]]\nlabels = [\"regression: tags that swap displayed axes\", \"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":"0aaaefa22261720dd76061c4b4b6bde8b3ef95fed81de9f76ce0f81b971a6f36","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(x):\n    w, h, tag, bw, bh = x\n    if tag in (6, 8):\n        w, h = h, w\n    s = min(Fraction(bw, w), Fraction(bh, h), Fraction(1))\n    tw = max(1, math.floor(w * s + Fraction(1, 2)))\n    th = max(1, math.floor(h * s + Fraction(1, 2)))\n    return [tw, th]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[[15, 2, 7, 10, 2], [1, 2]], [[57, 33, 9, 10, 5], [9, 5]], [[25, 2, 6, 76, 343], [2, 25]], [[3, 1, 6, 10, 10], [1, 3]], [[5, 2, 2, 10, 2], [5, 2]], [[15, 10, 8, 361, 38], [10, 15]], [[5, 4158, 8, 2, 2], [2, 1]], [[296, 2, 5, 16, 45], [1, 45]]], [[[17, 50, 7, 72, 27], [50, 17]], [[5, 2, 9, 10, 218], [5, 2]], [[5, 2, 1, 19, 25], [5, 2]], [[25, 7, 2, 2, 145], [2, 1]], [[15, 2, 0, 2, 2], [2, 1]], [[5, 4382, 0, 2, 337], [1, 337]], [[25, 7, 6, 2, 2], [1, 2]], [[4728, 23, 5, 14, 18], [1, 18]]], [[[3, 7, 7, 21, 10], [7, 3]], [[25, 2, 9, 37, 281], [25, 2]], [[152, 2, 2, 2, 10], [2, 1]], [[12, 1369, 3, 1, 30], [1, 30]], [[15, 1, 1, 11, 291], [11, 1]], [[2, 1, 3, 2, 2], [2, 1]], [[15, 1, 3, 2, 10], [2, 1]], [[3, 7, 7, 18, 2], [5, 2]]], [[[3936, 7, 5, 10, 31], [1, 31]], [[15, 3805, 9, 304, 7], [1, 7]], [[1283, 2, 6, 10, 2], [1, 2]], [[5, 2, 6, 18, 92], [2, 5]], [[5, 2, 8, 2, 10], [2, 5]], [[25, 1230, 1, 10, 10], [1, 10]], [[3, 5, 2, 2, 22], [2, 3]], [[15, 47, 5, 2, 49], [2, 1]]], [[[5, 4, 7, 297, 10], [4, 5]], [[25, 1721, 9, 40, 380], [6, 380]], [[25, 2, 4, 54, 2], [25, 2]], [[3018, 47, 4, 2, 10], [2, 1]], [[15, 1, 2, 14, 14], [14, 1]], [[2114, 2, 8, 15, 246], [1, 246]], [[5, 7, 6, 10, 2], [3, 2]], [[23, 49, 7, 23, 20], [23, 11]]]]\nlabels = [\"regression: tags that swap displayed axes\", \"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":"ab8c399e6ffd6fa65b5ebf385c148d855d03e49e1212e924781a67d1f67ca6ed","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(x):\n    w, h, tag, bw, bh = x\n    if tag in (5, 6, 7, 8):\n        w, h = h, w\n    s = min(Fraction(bw, w), Fraction(bh, h), Fraction(1))\n    tw = max(1, math.floor(w * s + Fraction(1, 2)))\n    th = max(1, math.floor(h * s + Fraction(1, 2)))\n    return [tw, th]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[[15, 2, 7, 10, 2], [1, 2]], [[57, 33, 9, 10, 5], [9, 5]], [[25, 2, 6, 76, 343], [2, 25]], [[3, 1, 6, 10, 10], [1, 3]], [[5, 2, 2, 10, 2], [5, 2]], [[15, 10, 8, 361, 38], [10, 15]], [[5, 4158, 8, 2, 2], [2, 1]], [[296, 2, 5, 16, 45], [1, 45]]], [[[17, 50, 7, 72, 27], [50, 17]], [[5, 2, 9, 10, 218], [5, 2]], [[5, 2, 1, 19, 25], [5, 2]], [[25, 7, 2, 2, 145], [2, 1]], [[15, 2, 0, 2, 2], [2, 1]], [[5, 4382, 0, 2, 337], [1, 337]], [[25, 7, 6, 2, 2], [1, 2]], [[4728, 23, 5, 14, 18], [1, 18]]], [[[3, 7, 7, 21, 10], [7, 3]], [[25, 2, 9, 37, 281], [25, 2]], [[152, 2, 2, 2, 10], [2, 1]], [[12, 1369, 3, 1, 30], [1, 30]], [[15, 1, 1, 11, 291], [11, 1]], [[2, 1, 3, 2, 2], [2, 1]], [[15, 1, 3, 2, 10], [2, 1]], [[3, 7, 7, 18, 2], [5, 2]]], [[[3936, 7, 5, 10, 31], [1, 31]], [[15, 3805, 9, 304, 7], [1, 7]], [[1283, 2, 6, 10, 2], [1, 2]], [[5, 2, 6, 18, 92], [2, 5]], [[5, 2, 8, 2, 10], [2, 5]], [[25, 1230, 1, 10, 10], [1, 10]], [[3, 5, 2, 2, 22], [2, 3]], [[15, 47, 5, 2, 49], [2, 1]]], [[[5, 4, 7, 297, 10], [4, 5]], [[25, 1721, 9, 40, 380], [6, 380]], [[25, 2, 4, 54, 2], [25, 2]], [[3018, 47, 4, 2, 10], [2, 1]], [[15, 1, 2, 14, 14], [14, 1]], [[2114, 2, 8, 15, 246], [1, 246]], [[5, 7, 6, 10, 2], [3, 2]], [[23, 49, 7, 23, 20], [23, 11]]]]\nlabels = [\"regression: tags that swap displayed axes\", \"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-thumbnail-fit-swap-tags","generated_at":"2026-09-29T14:49:40.486107+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":"Swap dimensions for tags 5, 6, 7 and 8 only.","root_cause":"Only tags 6 and 8 swap dimensions; transpose (5) and transverse (7) also exchange axes.","sha256":"f51d91e9e4747574c25e953ff5774e45e070261c465af815376af7887b039e1d","title":"Thumbnail ignores the axis swap for mirrored rotations · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":41.505,"exit_code":1,"observations":[{"actual":[1,2],"check":"regression: tags that swap displayed axes 0","expected":[1,2],"passed":true},{"actual":[3,5],"check":"repair trap 1","expected":[9,5],"passed":false},{"actual":[2,25],"check":"combined fault 2","expected":[2,25],"passed":true},{"actual":[1,3],"check":"control 3","expected":[1,3],"passed":true},{"actual":[5,2],"check":"control 4","expected":[5,2],"passed":true},{"actual":[10,15],"check":"boundary 5","expected":[10,15],"passed":true},{"actual":[2,1],"check":"boundary 6","expected":[2,1],"passed":true},{"actual":[1,45],"check":"control 7","expected":[1,45],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: tags that swap displayed axes 0\", \"actual\": [1, 2], \"expected\": [1, 2], \"passed\": true}, {\"check\": \"repair trap 1\", \"actual\": [3, 5], \"expected\": [9, 5], \"passed\": false}, {\"check\": \"combined fault 2\", \"actual\": [2, 25], \"expected\": [2, 25], \"passed\": true}, {\"check\": \"control 3\", \"actual\": [1, 3], \"expected\": [1, 3], \"passed\": true}, {\"check\": \"control 4\", \"actual\": [5, 2], \"expected\": [5, 2], \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": [10, 15], \"expected\": [10, 15], \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": [2, 1], \"expected\": [2, 1], \"passed\": true}, {\"check\": \"control 7\", \"actual\": [1, 45], \"expected\": [1, 45], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":42.255,"exit_code":1,"observations":[{"actual":[10,1],"check":"regression: tags that swap displayed axes 0","expected":[1,2],"passed":false},{"actual":[9,5],"check":"repair trap 1","expected":[9,5],"passed":true},{"actual":[2,25],"check":"combined fault 2","expected":[2,25],"passed":true},{"actual":[1,3],"check":"control 3","expected":[1,3],"passed":true},{"actual":[5,2],"check":"control 4","expected":[5,2],"passed":true},{"actual":[10,15],"check":"boundary 5","expected":[10,15],"passed":true},{"actual":[2,1],"check":"boundary 6","expected":[2,1],"passed":true},{"actual":[16,1],"check":"control 7","expected":[1,45],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: tags that swap displayed axes 0\", \"actual\": [10, 1], \"expected\": [1, 2], \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": [9, 5], \"expected\": [9, 5], \"passed\": true}, {\"check\": \"combined fault 2\", \"actual\": [2, 25], \"expected\": [2, 25], \"passed\": true}, {\"check\": \"control 3\", \"actual\": [1, 3], \"expected\": [1, 3], \"passed\": true}, {\"check\": \"control 4\", \"actual\": [5, 2], \"expected\": [5, 2], \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": [10, 15], \"expected\": [10, 15], \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": [2, 1], \"expected\": [2, 1], \"passed\": true}, {\"check\": \"control 7\", \"actual\": [16, 1], \"expected\": [1, 45], \"passed\": false}], \"passed\": false}\n"},"fixed":{"elapsed_ms":44.843,"exit_code":0,"observations":[{"actual":[1,2],"check":"regression: tags that swap displayed axes 0","expected":[1,2],"passed":true},{"actual":[9,5],"check":"repair trap 1","expected":[9,5],"passed":true},{"actual":[2,25],"check":"combined fault 2","expected":[2,25],"passed":true},{"actual":[1,3],"check":"control 3","expected":[1,3],"passed":true},{"actual":[5,2],"check":"control 4","expected":[5,2],"passed":true},{"actual":[10,15],"check":"boundary 5","expected":[10,15],"passed":true},{"actual":[2,1],"check":"boundary 6","expected":[2,1],"passed":true},{"actual":[1,45],"check":"control 7","expected":[1,45],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: tags that swap displayed axes 0\", \"actual\": [1, 2], \"expected\": [1, 2], \"passed\": true}, {\"check\": \"repair trap 1\", \"actual\": [9, 5], \"expected\": [9, 5], \"passed\": true}, {\"check\": \"combined fault 2\", \"actual\": [2, 25], \"expected\": [2, 25], \"passed\": true}, {\"check\": \"control 3\", \"actual\": [1, 3], \"expected\": [1, 3], \"passed\": true}, {\"check\": \"control 4\", \"actual\": [5, 2], \"expected\": [5, 2], \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": [10, 15], \"expected\": [10, 15], \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": [2, 1], \"expected\": [2, 1], \"passed\": true}, {\"check\": \"control 7\", \"actual\": [1, 45], \"expected\": [1, 45], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}