{"abstract":"After an in-camera rotation the photo displays with the old XMP orientation.","category":"Image orientation metadata","checks":8,"contract":"Resolve the displayed orientation tag from metadata sources. For HEIF, the container transforms are authoritative and EXIF/XMP are ignored: irot is anticlockwise quarter turns (default 0) applied first, then imir mirrors about the vertical axis (0, left-right) or the horizontal axis (1, top-bottom); the result is mapped to a tag through (k clockwise quarter turns after m mirrors) = {(0,0):1, (0,1):2, (2,0):3, (2,1):4, (3,1):5, (1,0):6, (1,1):7, (3,0):8}. For other containers a valid integer EXIF value 1..8 wins; otherwise an XMP string that is a single digit 1..8 after trimming whitespace; otherwise 1.","contract_signature":"meta","evaluation_group":"w2-image-orientation-metadata-source-precedence","failed_approach":"Preferring XMP just for PNG still violates the precedence for PNG eXIf data.","family":"w2-image-orientation-metadata-source-precedence-exif-xmp-order","id":"FA-79026","implementations":{"attempt":{"sha256":"c2613b79493037abe74df91038a40a687e19df052e03eebca668580caa56d197","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(meta):\n    from_km = {(0, 0): 1, (0, 1): 2, (2, 0): 3, (2, 1): 4, (3, 1): 5, (1, 0): 6, (1, 1): 7, (3, 0): 8}\n    c = meta.get('container')\n    if c == 'heif':\n        rot = meta.get('irot')\n        mir = meta.get('imir')\n        rot = 0 if rot is None else rot % 4\n        if mir is None:\n            return from_km[((-rot) % 4, 0)]\n        if mir == 0:\n            return from_km[(rot, 1)]\n        return from_km[((rot + 2) % 4, 1)]\n    x = meta.get('xmp')\n    if c == 'png' and isinstance(x, str) and x.strip() in ('1', '2', '3', '4', '5', '6', '7', '8'):\n        return int(x.strip())\n    e = meta.get('exif')\n    if isinstance(e, int) and not isinstance(e, bool) and 1 <= e <= 8:\n        return e\n    if isinstance(x, str):\n        s = x.strip()\n        if s in ('1', '2', '3', '4', '5', '6', '7', '8'):\n            return int(s)\n    return 1\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[{'container': 'png', 'exif': 1, 'xmp': '2'}, 1], [{'container': 'png', 'exif': 7, 'xmp': ' 8'}, 7], [{'container': 'png'}, 1], [{'container': 'jpeg', 'xmp': '2'}, 2], [{'container': 'heif', 'xmp': '\\t5', 'irot': 3}, 6], [{'container': 'tiff'}, 1], [{'container': 'tiff', 'exif': True, 'xmp': '7 '}, 7], [{'container': 'png', 'exif': 7, 'xmp': '6'}, 7]], [[{'container': 'png', 'exif': 6, 'xmp': '7 '}, 6], [{'container': 'png', 'exif': 2, 'xmp': '\\t5'}, 2], [{'container': 'png', 'xmp': '3\\n'}, 3], [{'container': 'jpeg', 'exif': 0, 'xmp': '\\t5'}, 5], [{'container': 'jpeg', 'exif': 0}, 1], [{'container': 'jpeg', 'xmp': '3\\n'}, 3], [{'container': 'heif', 'exif': 5, 'xmp': ' 8', 'imir': 0}, 2], [{'container': 'jpeg', 'exif': 1, 'xmp': '3\\n'}, 1]], [[{'container': 'tiff', 'exif': 8, 'xmp': '7 '}, 8], [{'container': 'png', 'exif': 7, 'xmp': ' 8'}, 7], [{'container': 'png', 'exif': 1, 'xmp': ' 8'}, 1], [{'container': 'jpeg', 'xmp': '7 '}, 7], [{'container': 'tiff'}, 1], [{'container': 'jpeg'}, 1], [{'container': 'jpeg', 'exif': 0}, 1], [{'container': 'jpeg', 'exif': 7, 'xmp': '6'}, 7]], [[{'container': 'jpeg', 'exif': 1, 'xmp': '\\t5'}, 1], [{'container': 'png', 'exif': 5, 'xmp': '3\\n'}, 5], [{'container': 'png', 'exif': 3, 'xmp': '7 '}, 3], [{'container': 'jpeg', 'exif': True, 'xmp': ' 8'}, 8], [{'container': 'jpeg', 'exif': 1}, 1], [{'container': 'heif', 'exif': 1, 'xmp': '7 ', 'irot': 2}, 3], [{'container': 'heif', 'xmp': '\\t5'}, 1], [{'container': 'tiff', 'exif': 8, 'xmp': '\\t5'}, 8]], [[{'container': 'jpeg', 'exif': 7, 'xmp': '\\t5'}, 7], [{'container': 'png', 'exif': 6, 'xmp': '7 '}, 6], [{'container': 'png', 'exif': 5, 'xmp': ' 8'}, 5], [{'container': 'png', 'xmp': '7 '}, 7], [{'container': 'heif', 'irot': 2}, 3], [{'container': 'heif', 'xmp': ' 8', 'irot': 1}, 8], [{'container': 'jpeg', 'xmp': 'x'}, 1], [{'container': 'png', 'exif': 2, 'xmp': '3\\n', 'irot': 0, 'imir': 1}, 2]]]\nlabels = [\"regression: EXIF over XMP precedence\", \"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":"bcc442f91e46c77dd6d0dbd22e64cdca7e1b76f501e9cc102b213c07eadd041c","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(meta):\n    from_km = {(0, 0): 1, (0, 1): 2, (2, 0): 3, (2, 1): 4, (3, 1): 5, (1, 0): 6, (1, 1): 7, (3, 0): 8}\n    c = meta.get('container')\n    if c == 'heif':\n        rot = meta.get('irot')\n        mir = meta.get('imir')\n        rot = 0 if rot is None else rot % 4\n        if mir is None:\n            return from_km[((-rot) % 4, 0)]\n        if mir == 0:\n            return from_km[(rot, 1)]\n        return from_km[((rot + 2) % 4, 1)]\n    x = meta.get('xmp')\n    if isinstance(x, str):\n        s = x.strip()\n        if s in ('1', '2', '3', '4', '5', '6', '7', '8'):\n            return int(s)\n    e = meta.get('exif')\n    if isinstance(e, int) and not isinstance(e, bool) and 1 <= e <= 8:\n        return e\n    return 1\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[[{'container': 'png', 'exif': 1, 'xmp': '2'}, 1], [{'container': 'png', 'exif': 7, 'xmp': ' 8'}, 7], [{'container': 'png'}, 1], [{'container': 'jpeg', 'xmp': '2'}, 2], [{'container': 'heif', 'xmp': '\\t5', 'irot': 3}, 6], [{'container': 'tiff'}, 1], [{'container': 'tiff', 'exif': True, 'xmp': '7 '}, 7], [{'container': 'png', 'exif': 7, 'xmp': '6'}, 7]], [[{'container': 'png', 'exif': 6, 'xmp': '7 '}, 6], [{'container': 'png', 'exif': 2, 'xmp': '\\t5'}, 2], [{'container': 'png', 'xmp': '3\\n'}, 3], [{'container': 'jpeg', 'exif': 0, 'xmp': '\\t5'}, 5], [{'container': 'jpeg', 'exif': 0}, 1], [{'container': 'jpeg', 'xmp': '3\\n'}, 3], [{'container': 'heif', 'exif': 5, 'xmp': ' 8', 'imir': 0}, 2], [{'container': 'jpeg', 'exif': 1, 'xmp': '3\\n'}, 1]], [[{'container': 'tiff', 'exif': 8, 'xmp': '7 '}, 8], [{'container': 'png', 'exif': 7, 'xmp': ' 8'}, 7], [{'container': 'png', 'exif': 1, 'xmp': ' 8'}, 1], [{'container': 'jpeg', 'xmp': '7 '}, 7], [{'container': 'tiff'}, 1], [{'container': 'jpeg'}, 1], [{'container': 'jpeg', 'exif': 0}, 1], [{'container': 'jpeg', 'exif': 7, 'xmp': '6'}, 7]], [[{'container': 'jpeg', 'exif': 1, 'xmp': '\\t5'}, 1], [{'container': 'png', 'exif': 5, 'xmp': '3\\n'}, 5], [{'container': 'png', 'exif': 3, 'xmp': '7 '}, 3], [{'container': 'jpeg', 'exif': True, 'xmp': ' 8'}, 8], [{'container': 'jpeg', 'exif': 1}, 1], [{'container': 'heif', 'exif': 1, 'xmp': '7 ', 'irot': 2}, 3], [{'container': 'heif', 'xmp': '\\t5'}, 1], [{'container': 'tiff', 'exif': 8, 'xmp': '\\t5'}, 8]], [[{'container': 'jpeg', 'exif': 7, 'xmp': '\\t5'}, 7], [{'container': 'png', 'exif': 6, 'xmp': '7 '}, 6], [{'container': 'png', 'exif': 5, 'xmp': ' 8'}, 5], [{'container': 'png', 'xmp': '7 '}, 7], [{'container': 'heif', 'irot': 2}, 3], [{'container': 'heif', 'xmp': ' 8', 'irot': 1}, 8], [{'container': 'jpeg', 'xmp': 'x'}, 1], [{'container': 'png', 'exif': 2, 'xmp': '3\\n', 'irot': 0, 'imir': 1}, 2]]]\nlabels = [\"regression: EXIF over XMP precedence\", \"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-source-precedence-exif-xmp-order","generated_at":"2026-09-29T14:49:40.556807+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":"XMP is consulted before EXIF, reversing the stated precedence.","sha256":"8b20333a0c74e52d5ee80c6cf4740dce4b1df4ded7997b4a92db8fbb05b62741","title":"Stale XMP orientation overrides EXIF · 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":37.974,"exit_code":1,"observations":[{"actual":2,"check":"regression: EXIF over XMP precedence 0","expected":1,"passed":false},{"actual":8,"check":"repair trap 1","expected":7,"passed":false},{"actual":1,"check":"combined fault 2","expected":1,"passed":true},{"actual":2,"check":"control 3","expected":2,"passed":true},{"actual":6,"check":"control 4","expected":6,"passed":true},{"actual":1,"check":"boundary 5","expected":1,"passed":true},{"actual":7,"check":"boundary 6","expected":7,"passed":true},{"actual":6,"check":"control 7","expected":7,"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: EXIF over XMP precedence 0\", \"actual\": 2, \"expected\": 1, \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": 8, \"expected\": 7, \"passed\": false}, {\"check\": \"combined fault 2\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"control 3\", \"actual\": 2, \"expected\": 2, \"passed\": true}, {\"check\": \"control 4\", \"actual\": 6, \"expected\": 6, \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": 7, \"expected\": 7, \"passed\": true}, {\"check\": \"control 7\", \"actual\": 6, \"expected\": 7, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":42.202,"exit_code":1,"observations":[{"actual":2,"check":"regression: EXIF over XMP precedence 0","expected":1,"passed":false},{"actual":8,"check":"repair trap 1","expected":7,"passed":false},{"actual":1,"check":"combined fault 2","expected":1,"passed":true},{"actual":2,"check":"control 3","expected":2,"passed":true},{"actual":6,"check":"control 4","expected":6,"passed":true},{"actual":1,"check":"boundary 5","expected":1,"passed":true},{"actual":7,"check":"boundary 6","expected":7,"passed":true},{"actual":6,"check":"control 7","expected":7,"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: EXIF over XMP precedence 0\", \"actual\": 2, \"expected\": 1, \"passed\": false}, {\"check\": \"repair trap 1\", \"actual\": 8, \"expected\": 7, \"passed\": false}, {\"check\": \"combined fault 2\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"control 3\", \"actual\": 2, \"expected\": 2, \"passed\": true}, {\"check\": \"control 4\", \"actual\": 6, \"expected\": 6, \"passed\": true}, {\"check\": \"boundary 5\", \"actual\": 1, \"expected\": 1, \"passed\": true}, {\"check\": \"boundary 6\", \"actual\": 7, \"expected\": 7, \"passed\": true}, {\"check\": \"control 7\", \"actual\": 6, \"expected\": 7, \"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."}}