{"abstract":"Thumbnails overflow a non-square box when the image and box aspect ratios differ.","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.","contract_signature":"x","evaluation_group":"w2-image-orientation-metadata-thumbnail-fit","failed_approach":"Using the shorter box side over the longer image side underfills most boxes.","family":"w2-image-orientation-metadata-thumbnail-fit-long-side-scale","id":"FA-78996","implementations":{"attempt":{"sha256":"348f947e48f9bb583c0a2927d2c0f6695433616d5f069b7376980c48a12b4683","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(min(bw, bh), max(w, 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 = [[[[5, 1, 8, 10, 2], [1, 2]], [[5, 2, 2, 10, 2], [5, 2]], [[5, 7, 6, 10, 2], [3, 2]], [[25, 2, 6, 76, 343], [2, 25]], [[3, 1, 6, 10, 10], [1, 3]], [[15, 10, 8, 361, 38], [10, 15]], [[5, 4158, 8, 2, 2], [2, 1]], [[2916, 3374, 8, 22, 164], [22, 19]]], [[[25, 7, 2, 2, 145], [2, 1]], [[3, 7, 5, 10, 2], [5, 2]], [[3942, 3691, 8, 10, 301], [10, 11]], [[15, 2, 0, 2, 2], [2, 1]], [[25, 7, 6, 2, 2], [1, 2]], [[5, 1, 6, 136, 45], [1, 5]], [[3, 1412, 3, 2, 2], [1, 2]], [[3, 7, 4, 2, 6], [2, 5]]], [[[15, 1, 3, 2, 10], [2, 1]], [[25, 7, 7, 10, 345], [7, 25]], [[45, 58, 7, 40, 2], [3, 2]], [[1669, 12, 4, 2, 2], [2, 1]], [[25, 2, 4, 2, 2], [2, 1]], [[3, 7, 6, 38, 32], [7, 3]], [[3, 7, 7, 21, 10], [7, 3]], [[15, 1, 1, 11, 291], [11, 1]]], [[[1283, 2, 6, 10, 2], [1, 2]], [[1584, 7, 0, 266, 9], [266, 1]], [[3, 7, 7, 10, 2], [5, 2]], [[3, 7, 3, 10, 141], [3, 7]], [[25, 1959, 9, 10, 10], [1, 10]], [[25, 7, 6, 2, 2], [1, 2]], [[3, 7, 5, 77, 147], [7, 3]], [[804, 1, 2, 2, 247], [2, 1]]], [[[25, 2, 6, 10, 2], [1, 2]], [[23, 49, 7, 23, 20], [23, 11]], [[5, 7, 7, 10, 2], [3, 2]], [[25, 2, 7, 10, 10], [1, 10]], [[3, 1, 5, 10, 32], [1, 3]], [[5, 1, 8, 10, 20], [1, 5]], [[1125, 3267, 8, 10, 10], [10, 3]], [[3018, 47, 4, 2, 10], [2, 1]]]]\nlabels = [\"regression: scale from constraining side\", \"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":"3f7fdd35bedbaffb45a0695741703359c5db828f872879059e76ba237ba775e1","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(max(bw, bh), max(w, 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 = [[[[5, 1, 8, 10, 2], [1, 2]], [[5, 2, 2, 10, 2], [5, 2]], [[5, 7, 6, 10, 2], [3, 2]], [[25, 2, 6, 76, 343], [2, 25]], [[3, 1, 6, 10, 10], [1, 3]], [[15, 10, 8, 361, 38], [10, 15]], [[5, 4158, 8, 2, 2], [2, 1]], [[2916, 3374, 8, 22, 164], [22, 19]]], [[[25, 7, 2, 2, 145], [2, 1]], [[3, 7, 5, 10, 2], [5, 2]], [[3942, 3691, 8, 10, 301], [10, 11]], [[15, 2, 0, 2, 2], [2, 1]], [[25, 7, 6, 2, 2], [1, 2]], [[5, 1, 6, 136, 45], [1, 5]], [[3, 1412, 3, 2, 2], [1, 2]], [[3, 7, 4, 2, 6], [2, 5]]], [[[15, 1, 3, 2, 10], [2, 1]], [[25, 7, 7, 10, 345], [7, 25]], [[45, 58, 7, 40, 2], [3, 2]], [[1669, 12, 4, 2, 2], [2, 1]], [[25, 2, 4, 2, 2], [2, 1]], [[3, 7, 6, 38, 32], [7, 3]], [[3, 7, 7, 21, 10], [7, 3]], [[15, 1, 1, 11, 291], [11, 1]]], [[[1283, 2, 6, 10, 2], [1, 2]], [[1584, 7, 0, 266, 9], [266, 1]], [[3, 7, 7, 10, 2], [5, 2]], [[3, 7, 3, 10, 141], [3, 7]], [[25, 1959, 9, 10, 10], [1, 10]], [[25, 7, 6, 2, 2], [1, 2]], [[3, 7, 5, 77, 147], [7, 3]], [[804, 1, 2, 2, 247], [2, 1]]], [[[25, 2, 6, 10, 2], [1, 2]], [[23, 49, 7, 23, 20], [23, 11]], [[5, 7, 7, 10, 2], [3, 2]], [[25, 2, 7, 10, 10], [1, 10]], [[3, 1, 5, 10, 32], [1, 3]], [[5, 1, 8, 10, 20], [1, 5]], [[1125, 3267, 8, 10, 10], [10, 3]], [[3018, 47, 4, 2, 10], [2, 1]]]]\nlabels = [\"regression: scale from constraining side\", \"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-long-side-scale","generated_at":"2026-09-29T14:49:40.484610+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 scale compares the longest box side to the longest image side instead of fitting each axis.","sha256":"ea11fa577323722b2f086b5749a44969d42e9ba501b59de57afcd7ecdba4c1a9","title":"Thumbnail scale is taken from the long sides only · 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":39.622,"exit_code":1,"observations":[{"actual":[1,2],"check":"regression: scale from constraining side 0","expected":[1,2],"passed":true},{"actual":[2,1],"check":"repair trap 1","expected":[5,2],"passed":false},{"actual":[2,1],"check":"combined fault 2","expected":[3,2],"passed":false},{"actual":[2,25],"check":"control 3","expected":[2,25],"passed":true},{"actual":[1,3],"check":"control 4","expected":[1,3],"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":[22,19],"check":"control 7","expected":[22,19],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: scale from constraining side 0\", \"actual\": [1, 2], \"expected\": [1, 2], \"passed\": true}, {\"check\": \"repair trap 1\", \"actual\": [2, 1], \"expected\": [5, 2], \"passed\": false}, {\"check\": \"combined fault 2\", \"actual\": [2, 1], \"expected\": [3, 2], \"passed\": false}, {\"check\": \"control 3\", \"actual\": [2, 25], \"expected\": [2, 25], \"passed\": true}, {\"check\": \"control 4\", \"actual\": [1, 3], \"expected\": [1, 3], \"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\": [22, 19], \"expected\": [22, 19], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":39.38,"exit_code":1,"observations":[{"actual":[1,5],"check":"regression: scale from constraining side 0","expected":[1,2],"passed":false},{"actual":[5,2],"check":"repair trap 1","expected":[5,2],"passed":true},{"actual":[7,5],"check":"combined fault 2","expected":[3,2],"passed":false},{"actual":[2,25],"check":"control 3","expected":[2,25],"passed":true},{"actual":[1,3],"check":"control 4","expected":[1,3],"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":[164,142],"check":"control 7","expected":[22,19],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: scale from constraining side 0\", \"actual\": [1, 5], \"expected\": [1, 2], \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": [5, 2], \"expected\": [5, 2], \"passed\": true}, {\"check\": \"combined fault 2\", \"actual\": [7, 5], \"expected\": [3, 2], \"passed\": false}, {\"check\": \"control 3\", \"actual\": [2, 25], \"expected\": [2, 25], \"passed\": true}, {\"check\": \"control 4\", \"actual\": [1, 3], \"expected\": [1, 3], \"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\": [164, 142], \"expected\": [22, 19], \"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."}}