{"abstract":"Pre-roll frames before midnight are labelled as if they were after midnight.","category":"Broadcast timecode arithmetic","checks":9,"contract":"Convert a frame count (any integer, wrapped modulo 24 hours) to HH:MM:SS:FF. For fps above 30 the frame field counts frame pairs (frame//2) and the last separator is \".\" for the second frame of a pair and \":\" otherwise.","evaluation_group":"w2-broadcast-timecode-arithmetic-frames-to-label","failed_approach":"Adding one day to negatives neither wraps counts beyond a day nor multi-day negatives.","family":"w2-broadcast-timecode-arithmetic-frames-to-label-day-wrap","id":"FA-78366","implementations":{"attempt":{"sha256":"0f3db88a8a5c7e73f48badaad606b14e745d709f9e1bdd57fe9a2b37eb99e5aa","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(frames, fps):\n    day=24*3600*fps\n    frames=frames+day if frames<0 else frames\n    fr=frames%fps\n    s=frames//fps\n    hh,mm,ss=s//3600,s//60%60,s%60\n    if fps>30:\n        return '%02d:%02d:%02d%s%02d'%(hh,mm,ss,'.' if fr%2 else ':',fr//2)\n    return '%02d:%02d:%02d:%02d'%(hh,mm,ss,fr)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: day wrap', [-1, 25], '23:59:59:24'), ('regression variant: day wrap', [-4622105, 30], '05:12:09:25'), ('partial repair probe: day wrap', [8640011, 50], '00:00:00.05'), ('partial repair variant: day wrap', [7086760, 24], '10:01:21:16'), ('boundary control', [0, 25], '00:00:00:00'), ('boundary control', [59, 60], '00:00:00.29'), ('normal control', [3, 50], '00:00:00.01'), ('normal control', [30, 30], '00:00:01:00'), ('normal control', [216007, 60], '01:00:00.03')], [('regression: day wrap', [-5184003, 60], '23:59:59.28'), ('regression variant: day wrap', [-1, 24], '23:59:59:23'), ('partial repair probe: day wrap', [4147205, 48], '00:00:00.02'), ('partial repair variant: day wrap', [2592000, 30], '00:00:00:00'), ('boundary control', [3, 50], '00:00:00.01'), ('boundary control', [30, 30], '00:00:01:00'), ('normal control', [3745221, 48], '21:40:25.10'), ('normal control', [49, 50], '00:00:00.24'), ('normal control', [2, 24], '00:00:00:02')], [('regression: day wrap', [-1, 50], '23:59:59.24'), ('regression variant: day wrap', [-1, 60], '23:59:59.29'), ('partial repair probe: day wrap', [-5184003, 60], '23:59:59.28'), ('partial repair variant: day wrap', [2073600, 24], '00:00:00:00'), ('boundary control', [2, 50], '00:00:00:01'), ('boundary control', [0, 25], '00:00:00:00'), ('normal control', [2, 30], '00:00:00:02'), ('normal control', [31, 30], '00:00:01:01'), ('normal control', [1, 25], '00:00:00:01')], [('regression: day wrap', [-4147203, 48], '23:59:59.22'), ('regression variant: day wrap', [-2592003, 30], '23:59:59:27'), ('partial repair probe: day wrap', [5184000, 60], '00:00:00:00'), ('partial repair variant: day wrap', [4320005, 50], '00:00:00.02'), ('boundary control', [59, 60], '00:00:00.29'), ('boundary control', [3, 50], '00:00:00.01'), ('normal control', [48, 48], '00:00:01:00'), ('normal control', [2591999, 30], '23:59:59:29'), ('normal control', [0, 48], '00:00:00:00')], [('regression: day wrap', [-1, 30], '23:59:59:29'), ('regression variant: day wrap', [-1, 48], '23:59:59.23'), ('partial repair probe: day wrap', [5184000, 60], '00:00:00:00'), ('partial repair variant: day wrap', [2160005, 25], '00:00:00:05'), ('boundary control', [30, 30], '00:00:01:00'), ('boundary control', [2, 50], '00:00:00:01'), ('normal control', [50, 50], '00:00:01:00'), ('normal control', [29, 30], '00:00:00:29'), ('normal control', [24, 24], '00:00:01:00')]]\nfor label, args, expected in fixtures[N-1]:\n    check(label, 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":"d8059abdc483a590d940c31b18244dc574a73745e04bdb64f53f79e24793558e","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(frames, fps):\n    day=24*3600*fps\n    frames=abs(frames)%day\n    fr=frames%fps\n    s=frames//fps\n    hh,mm,ss=s//3600,s//60%60,s%60\n    if fps>30:\n        return '%02d:%02d:%02d%s%02d'%(hh,mm,ss,'.' if fr%2 else ':',fr//2)\n    return '%02d:%02d:%02d:%02d'%(hh,mm,ss,fr)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: day wrap', [-1, 25], '23:59:59:24'), ('regression variant: day wrap', [-4622105, 30], '05:12:09:25'), ('partial repair probe: day wrap', [8640011, 50], '00:00:00.05'), ('partial repair variant: day wrap', [7086760, 24], '10:01:21:16'), ('boundary control', [0, 25], '00:00:00:00'), ('boundary control', [59, 60], '00:00:00.29'), ('normal control', [3, 50], '00:00:00.01'), ('normal control', [30, 30], '00:00:01:00'), ('normal control', [216007, 60], '01:00:00.03')], [('regression: day wrap', [-5184003, 60], '23:59:59.28'), ('regression variant: day wrap', [-1, 24], '23:59:59:23'), ('partial repair probe: day wrap', [4147205, 48], '00:00:00.02'), ('partial repair variant: day wrap', [2592000, 30], '00:00:00:00'), ('boundary control', [3, 50], '00:00:00.01'), ('boundary control', [30, 30], '00:00:01:00'), ('normal control', [3745221, 48], '21:40:25.10'), ('normal control', [49, 50], '00:00:00.24'), ('normal control', [2, 24], '00:00:00:02')], [('regression: day wrap', [-1, 50], '23:59:59.24'), ('regression variant: day wrap', [-1, 60], '23:59:59.29'), ('partial repair probe: day wrap', [-5184003, 60], '23:59:59.28'), ('partial repair variant: day wrap', [2073600, 24], '00:00:00:00'), ('boundary control', [2, 50], '00:00:00:01'), ('boundary control', [0, 25], '00:00:00:00'), ('normal control', [2, 30], '00:00:00:02'), ('normal control', [31, 30], '00:00:01:01'), ('normal control', [1, 25], '00:00:00:01')], [('regression: day wrap', [-4147203, 48], '23:59:59.22'), ('regression variant: day wrap', [-2592003, 30], '23:59:59:27'), ('partial repair probe: day wrap', [5184000, 60], '00:00:00:00'), ('partial repair variant: day wrap', [4320005, 50], '00:00:00.02'), ('boundary control', [59, 60], '00:00:00.29'), ('boundary control', [3, 50], '00:00:00.01'), ('normal control', [48, 48], '00:00:01:00'), ('normal control', [2591999, 30], '23:59:59:29'), ('normal control', [0, 48], '00:00:00:00')], [('regression: day wrap', [-1, 30], '23:59:59:29'), ('regression variant: day wrap', [-1, 48], '23:59:59.23'), ('partial repair probe: day wrap', [5184000, 60], '00:00:00:00'), ('partial repair variant: day wrap', [2160005, 25], '00:00:00:05'), ('boundary control', [30, 30], '00:00:01:00'), ('boundary control', [2, 50], '00:00:00:01'), ('normal control', [50, 50], '00:00:01:00'), ('normal control', [29, 30], '00:00:00:29'), ('normal control', [24, 24], '00:00:01:00')]]\nfor label, args, expected in fixtures[N-1]:\n    check(label, 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":"5bdd4e365c9adb269c6fbdb9922680d875099a732502ce96d9d1aaeec6fb7c81","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(frames, fps):\n    day=24*3600*fps\n    frames%=day\n    fr=frames%fps\n    s=frames//fps\n    hh,mm,ss=s//3600,s//60%60,s%60\n    if fps>30:\n        return '%02d:%02d:%02d%s%02d'%(hh,mm,ss,'.' if fr%2 else ':',fr//2)\n    return '%02d:%02d:%02d:%02d'%(hh,mm,ss,fr)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: day wrap', [-1, 25], '23:59:59:24'), ('regression variant: day wrap', [-4622105, 30], '05:12:09:25'), ('partial repair probe: day wrap', [8640011, 50], '00:00:00.05'), ('partial repair variant: day wrap', [7086760, 24], '10:01:21:16'), ('boundary control', [0, 25], '00:00:00:00'), ('boundary control', [59, 60], '00:00:00.29'), ('normal control', [3, 50], '00:00:00.01'), ('normal control', [30, 30], '00:00:01:00'), ('normal control', [216007, 60], '01:00:00.03')], [('regression: day wrap', [-5184003, 60], '23:59:59.28'), ('regression variant: day wrap', [-1, 24], '23:59:59:23'), ('partial repair probe: day wrap', [4147205, 48], '00:00:00.02'), ('partial repair variant: day wrap', [2592000, 30], '00:00:00:00'), ('boundary control', [3, 50], '00:00:00.01'), ('boundary control', [30, 30], '00:00:01:00'), ('normal control', [3745221, 48], '21:40:25.10'), ('normal control', [49, 50], '00:00:00.24'), ('normal control', [2, 24], '00:00:00:02')], [('regression: day wrap', [-1, 50], '23:59:59.24'), ('regression variant: day wrap', [-1, 60], '23:59:59.29'), ('partial repair probe: day wrap', [-5184003, 60], '23:59:59.28'), ('partial repair variant: day wrap', [2073600, 24], '00:00:00:00'), ('boundary control', [2, 50], '00:00:00:01'), ('boundary control', [0, 25], '00:00:00:00'), ('normal control', [2, 30], '00:00:00:02'), ('normal control', [31, 30], '00:00:01:01'), ('normal control', [1, 25], '00:00:00:01')], [('regression: day wrap', [-4147203, 48], '23:59:59.22'), ('regression variant: day wrap', [-2592003, 30], '23:59:59:27'), ('partial repair probe: day wrap', [5184000, 60], '00:00:00:00'), ('partial repair variant: day wrap', [4320005, 50], '00:00:00.02'), ('boundary control', [59, 60], '00:00:00.29'), ('boundary control', [3, 50], '00:00:00.01'), ('normal control', [48, 48], '00:00:01:00'), ('normal control', [2591999, 30], '23:59:59:29'), ('normal control', [0, 48], '00:00:00:00')], [('regression: day wrap', [-1, 30], '23:59:59:29'), ('regression variant: day wrap', [-1, 48], '23:59:59.23'), ('partial repair probe: day wrap', [5184000, 60], '00:00:00:00'), ('partial repair variant: day wrap', [2160005, 25], '00:00:00:05'), ('boundary control', [30, 30], '00:00:01:00'), ('boundary control', [2, 50], '00:00:00:01'), ('normal control', [50, 50], '00:00:01:00'), ('normal control', [29, 30], '00:00:00:29'), ('normal control', [24, 24], '00:00:01:00')]]\nfor label, args, expected in fixtures[N-1]:\n    check(label, 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 toy contract; it does not claim conformance to SMPTE or any broadcast standard. 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-broadcast-timecode-arithmetic-frames-to-label-day-wrap","generated_at":"2026-09-29T14:49:34.681658+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Timecode arithmetic errors misplace edits, commercial breaks and captions against the broadcast clock.","repair":"Wrap with a true modulo so negative counts land before midnight.","root_cause":"Negative counts are mirrored with abs() before wrapping.","sha256":"3e4ffe78a2c9655ec225833671879f0d757af00b8655fd6140e9b4a7d74e2fcd","title":"Frame count to timecode label with frame pairs: day wrap · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":41.517,"exit_code":1,"observations":[{"actual":"23:59:59:24","check":"regression: day wrap","expected":"23:59:59:24","passed":true},{"actual":"-19:12:09:25","check":"regression variant: day wrap","expected":"05:12:09:25","passed":false},{"actual":"48:00:00.05","check":"partial repair probe: day wrap","expected":"00:00:00.05","passed":false},{"actual":"82:01:21:16","check":"partial repair variant: day wrap","expected":"10:01:21:16","passed":false},{"actual":"00:00:00:00","check":"boundary control","expected":"00:00:00:00","passed":true},{"actual":"00:00:00.29","check":"boundary control","expected":"00:00:00.29","passed":true},{"actual":"00:00:00.01","check":"normal control","expected":"00:00:00.01","passed":true},{"actual":"00:00:01:00","check":"normal control","expected":"00:00:01:00","passed":true},{"actual":"01:00:00.03","check":"normal control","expected":"01:00:00.03","passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: day wrap\", \"actual\": \"23:59:59:24\", \"expected\": \"23:59:59:24\", \"passed\": true}, {\"check\": \"regression variant: day wrap\", \"actual\": \"-19:12:09:25\", \"expected\": \"05:12:09:25\", \"passed\": false}, {\"check\": \"partial repair probe: day wrap\", \"actual\": \"48:00:00.05\", \"expected\": \"00:00:00.05\", \"passed\": false}, {\"check\": \"partial repair variant: day wrap\", \"actual\": \"82:01:21:16\", \"expected\": \"10:01:21:16\", \"passed\": false}, {\"check\": \"boundary control\", \"actual\": \"00:00:00:00\", \"expected\": \"00:00:00:00\", \"passed\": true}, {\"check\": \"boundary control\", \"actual\": \"00:00:00.29\", \"expected\": \"00:00:00.29\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"00:00:00.01\", \"expected\": \"00:00:00.01\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"00:00:01:00\", \"expected\": \"00:00:01:00\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"01:00:00.03\", \"expected\": \"01:00:00.03\", \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":42.592,"exit_code":1,"observations":[{"actual":"00:00:00:01","check":"regression: day wrap","expected":"23:59:59:24","passed":false},{"actual":"18:47:50:05","check":"regression variant: day wrap","expected":"05:12:09:25","passed":false},{"actual":"00:00:00.05","check":"partial repair probe: day wrap","expected":"00:00:00.05","passed":true},{"actual":"10:01:21:16","check":"partial repair variant: day wrap","expected":"10:01:21:16","passed":true},{"actual":"00:00:00:00","check":"boundary control","expected":"00:00:00:00","passed":true},{"actual":"00:00:00.29","check":"boundary control","expected":"00:00:00.29","passed":true},{"actual":"00:00:00.01","check":"normal control","expected":"00:00:00.01","passed":true},{"actual":"00:00:01:00","check":"normal control","expected":"00:00:01:00","passed":true},{"actual":"01:00:00.03","check":"normal control","expected":"01:00:00.03","passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: day wrap\", \"actual\": \"00:00:00:01\", \"expected\": \"23:59:59:24\", \"passed\": false}, {\"check\": \"regression variant: day wrap\", \"actual\": \"18:47:50:05\", \"expected\": \"05:12:09:25\", \"passed\": false}, {\"check\": \"partial repair probe: day wrap\", \"actual\": \"00:00:00.05\", \"expected\": \"00:00:00.05\", \"passed\": true}, {\"check\": \"partial repair variant: day wrap\", \"actual\": \"10:01:21:16\", \"expected\": \"10:01:21:16\", \"passed\": true}, {\"check\": \"boundary control\", \"actual\": \"00:00:00:00\", \"expected\": \"00:00:00:00\", \"passed\": true}, {\"check\": \"boundary control\", \"actual\": \"00:00:00.29\", \"expected\": \"00:00:00.29\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"00:00:00.01\", \"expected\": \"00:00:00.01\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"00:00:01:00\", \"expected\": \"00:00:01:00\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"01:00:00.03\", \"expected\": \"01:00:00.03\", \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":40.975,"exit_code":0,"observations":[{"actual":"23:59:59:24","check":"regression: day wrap","expected":"23:59:59:24","passed":true},{"actual":"05:12:09:25","check":"regression variant: day wrap","expected":"05:12:09:25","passed":true},{"actual":"00:00:00.05","check":"partial repair probe: day wrap","expected":"00:00:00.05","passed":true},{"actual":"10:01:21:16","check":"partial repair variant: day wrap","expected":"10:01:21:16","passed":true},{"actual":"00:00:00:00","check":"boundary control","expected":"00:00:00:00","passed":true},{"actual":"00:00:00.29","check":"boundary control","expected":"00:00:00.29","passed":true},{"actual":"00:00:00.01","check":"normal control","expected":"00:00:00.01","passed":true},{"actual":"00:00:01:00","check":"normal control","expected":"00:00:01:00","passed":true},{"actual":"01:00:00.03","check":"normal control","expected":"01:00:00.03","passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: day wrap\", \"actual\": \"23:59:59:24\", \"expected\": \"23:59:59:24\", \"passed\": true}, {\"check\": \"regression variant: day wrap\", \"actual\": \"05:12:09:25\", \"expected\": \"05:12:09:25\", \"passed\": true}, {\"check\": \"partial repair probe: day wrap\", \"actual\": \"00:00:00.05\", \"expected\": \"00:00:00.05\", \"passed\": true}, {\"check\": \"partial repair variant: day wrap\", \"actual\": \"10:01:21:16\", \"expected\": \"10:01:21:16\", \"passed\": true}, {\"check\": \"boundary control\", \"actual\": \"00:00:00:00\", \"expected\": \"00:00:00:00\", \"passed\": true}, {\"check\": \"boundary control\", \"actual\": \"00:00:00.29\", \"expected\": \"00:00:00.29\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"00:00:00.01\", \"expected\": \"00:00:00.01\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"00:00:01:00\", \"expected\": \"00:00:01:00\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"01:00:00.03\", \"expected\": \"01:00:00.03\", \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}