{"abstract":"The first and second frames of each pair are labelled the wrong way round.","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":"Flagging the second half of the second instead of the second frame of each pair mislabels most frames.","family":"w2-broadcast-timecode-arithmetic-frames-to-label-pair-flag","id":"FA-78381","implementations":{"attempt":{"sha256":"650bf3cd7eae359ebbfdcf5183f80b9e902662e77330e17901e5cb37ba494007","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>=fps//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: pair flag', [3, 50], '00:00:00.01'), ('regression variant: pair flag', [3745221, 48], '21:40:25.10'), ('partial repair probe: pair flag', [8640011, 50], '00:00:00.05'), ('partial repair variant: pair flag', [5184005, 60], '00:00:00.02'), ('boundary control', [0, 25], '00:00:00:00'), ('boundary control', [30, 30], '00:00:01:00'), ('normal control', [-1, 25], '23:59:59:24'), ('normal control', [1803, 30], '00:01:00:03'), ('normal control', [8166989, 30], '03:37:12:29')], [('regression: pair flag', [2, 50], '00:00:00:01'), ('regression variant: pair flag', [4147205, 48], '00:00:00.02'), ('partial repair probe: pair flag', [3745221, 48], '21:40:25.10'), ('partial repair variant: pair flag', [10368011, 60], '00:00:00.05'), ('boundary control', [-1, 25], '23:59:59:24'), ('boundary control', [0, 25], '00:00:00:00'), ('normal control', [-1, 30], '23:59:59:29'), ('normal control', [-1, 24], '23:59:59:23'), ('normal control', [0, 24], '00:00:00:00')], [('regression: pair flag', [59, 60], '00:00:00.29'), ('regression variant: pair flag', [4319999, 50], '23:59:59.24'), ('partial repair probe: pair flag', [4147205, 48], '00:00:00.02'), ('partial repair variant: pair flag', [8294411, 48], '00:00:00.05'), ('boundary control', [2160000, 25], '00:00:00:00'), ('boundary control', [-1, 25], '23:59:59:24'), ('normal control', [31, 30], '00:00:01:01'), ('normal control', [2073600, 24], '00:00:00:00'), ('normal control', [954706, 24], '11:02:59:10')], [('regression: pair flag', [216007, 60], '01:00:00.03'), ('regression variant: pair flag', [-5184003, 60], '23:59:59.28'), ('partial repair probe: pair flag', [1, 48], '00:00:00.00'), ('partial repair variant: pair flag', [16335211, 50], '18:45:04.05'), ('boundary control', [30, 30], '00:00:01:00'), ('boundary control', [2160000, 25], '00:00:00:00'), ('normal control', [23, 24], '00:00:00:23'), ('normal control', [2073605, 24], '00:00:00:05'), ('normal control', [86407, 24], '01:00:00:07')], [('regression: pair flag', [8640011, 50], '00:00:00.05'), ('regression variant: pair flag', [1, 48], '00:00:00.00'), ('partial repair probe: pair flag', [180007, 50], '01:00:00.03'), ('partial repair variant: pair flag', [2364826, 50], '13:08:16:13'), ('boundary control', [0, 25], '00:00:00:00'), ('boundary control', [30, 30], '00:00:01:00'), ('normal control', [24, 24], '00:00:01:00'), ('normal control', [90007, 25], '01:00:00:07'), ('normal control', [-24, 24], '23:59:59:00')]]\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":"25486189298165c5d3cace70af16ec9bab0f3124ba8f40d54bb42b78d56ee80b","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: pair flag', [3, 50], '00:00:00.01'), ('regression variant: pair flag', [3745221, 48], '21:40:25.10'), ('partial repair probe: pair flag', [8640011, 50], '00:00:00.05'), ('partial repair variant: pair flag', [5184005, 60], '00:00:00.02'), ('boundary control', [0, 25], '00:00:00:00'), ('boundary control', [30, 30], '00:00:01:00'), ('normal control', [-1, 25], '23:59:59:24'), ('normal control', [1803, 30], '00:01:00:03'), ('normal control', [8166989, 30], '03:37:12:29')], [('regression: pair flag', [2, 50], '00:00:00:01'), ('regression variant: pair flag', [4147205, 48], '00:00:00.02'), ('partial repair probe: pair flag', [3745221, 48], '21:40:25.10'), ('partial repair variant: pair flag', [10368011, 60], '00:00:00.05'), ('boundary control', [-1, 25], '23:59:59:24'), ('boundary control', [0, 25], '00:00:00:00'), ('normal control', [-1, 30], '23:59:59:29'), ('normal control', [-1, 24], '23:59:59:23'), ('normal control', [0, 24], '00:00:00:00')], [('regression: pair flag', [59, 60], '00:00:00.29'), ('regression variant: pair flag', [4319999, 50], '23:59:59.24'), ('partial repair probe: pair flag', [4147205, 48], '00:00:00.02'), ('partial repair variant: pair flag', [8294411, 48], '00:00:00.05'), ('boundary control', [2160000, 25], '00:00:00:00'), ('boundary control', [-1, 25], '23:59:59:24'), ('normal control', [31, 30], '00:00:01:01'), ('normal control', [2073600, 24], '00:00:00:00'), ('normal control', [954706, 24], '11:02:59:10')], [('regression: pair flag', [216007, 60], '01:00:00.03'), ('regression variant: pair flag', [-5184003, 60], '23:59:59.28'), ('partial repair probe: pair flag', [1, 48], '00:00:00.00'), ('partial repair variant: pair flag', [16335211, 50], '18:45:04.05'), ('boundary control', [30, 30], '00:00:01:00'), ('boundary control', [2160000, 25], '00:00:00:00'), ('normal control', [23, 24], '00:00:00:23'), ('normal control', [2073605, 24], '00:00:00:05'), ('normal control', [86407, 24], '01:00:00:07')], [('regression: pair flag', [8640011, 50], '00:00:00.05'), ('regression variant: pair flag', [1, 48], '00:00:00.00'), ('partial repair probe: pair flag', [180007, 50], '01:00:00.03'), ('partial repair variant: pair flag', [2364826, 50], '13:08:16:13'), ('boundary control', [0, 25], '00:00:00:00'), ('boundary control', [30, 30], '00:00:01:00'), ('normal control', [24, 24], '00:00:01:00'), ('normal control', [90007, 25], '01:00:00:07'), ('normal control', [-24, 24], '23:59:59:00')]]\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":"3b0666210b7c5da9da5988aafa1113dfebc75e914c26271ef8050979960e7b52","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: pair flag', [3, 50], '00:00:00.01'), ('regression variant: pair flag', [3745221, 48], '21:40:25.10'), ('partial repair probe: pair flag', [8640011, 50], '00:00:00.05'), ('partial repair variant: pair flag', [5184005, 60], '00:00:00.02'), ('boundary control', [0, 25], '00:00:00:00'), ('boundary control', [30, 30], '00:00:01:00'), ('normal control', [-1, 25], '23:59:59:24'), ('normal control', [1803, 30], '00:01:00:03'), ('normal control', [8166989, 30], '03:37:12:29')], [('regression: pair flag', [2, 50], '00:00:00:01'), ('regression variant: pair flag', [4147205, 48], '00:00:00.02'), ('partial repair probe: pair flag', [3745221, 48], '21:40:25.10'), ('partial repair variant: pair flag', [10368011, 60], '00:00:00.05'), ('boundary control', [-1, 25], '23:59:59:24'), ('boundary control', [0, 25], '00:00:00:00'), ('normal control', [-1, 30], '23:59:59:29'), ('normal control', [-1, 24], '23:59:59:23'), ('normal control', [0, 24], '00:00:00:00')], [('regression: pair flag', [59, 60], '00:00:00.29'), ('regression variant: pair flag', [4319999, 50], '23:59:59.24'), ('partial repair probe: pair flag', [4147205, 48], '00:00:00.02'), ('partial repair variant: pair flag', [8294411, 48], '00:00:00.05'), ('boundary control', [2160000, 25], '00:00:00:00'), ('boundary control', [-1, 25], '23:59:59:24'), ('normal control', [31, 30], '00:00:01:01'), ('normal control', [2073600, 24], '00:00:00:00'), ('normal control', [954706, 24], '11:02:59:10')], [('regression: pair flag', [216007, 60], '01:00:00.03'), ('regression variant: pair flag', [-5184003, 60], '23:59:59.28'), ('partial repair probe: pair flag', [1, 48], '00:00:00.00'), ('partial repair variant: pair flag', [16335211, 50], '18:45:04.05'), ('boundary control', [30, 30], '00:00:01:00'), ('boundary control', [2160000, 25], '00:00:00:00'), ('normal control', [23, 24], '00:00:00:23'), ('normal control', [2073605, 24], '00:00:00:05'), ('normal control', [86407, 24], '01:00:00:07')], [('regression: pair flag', [8640011, 50], '00:00:00.05'), ('regression variant: pair flag', [1, 48], '00:00:00.00'), ('partial repair probe: pair flag', [180007, 50], '01:00:00.03'), ('partial repair variant: pair flag', [2364826, 50], '13:08:16:13'), ('boundary control', [0, 25], '00:00:00:00'), ('boundary control', [30, 30], '00:00:01:00'), ('normal control', [24, 24], '00:00:01:00'), ('normal control', [90007, 25], '01:00:00:07'), ('normal control', [-24, 24], '23:59:59:00')]]\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-pair-flag","generated_at":"2026-09-29T14:49:34.690729+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":"Mark odd frames, the second of each pair, with a period.","root_cause":"The pair separator is inverted.","sha256":"2b63dda56794ad65c0f8d8b2f41db4ca0318435420b0af80b6a109ea0a5959c6","title":"Frame count to timecode label with frame pairs: pair flag · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":40.373,"exit_code":1,"observations":[{"actual":"00:00:00:01","check":"regression: pair flag","expected":"00:00:00.01","passed":false},{"actual":"21:40:25:10","check":"regression variant: pair flag","expected":"21:40:25.10","passed":false},{"actual":"00:00:00:05","check":"partial repair probe: pair flag","expected":"00:00:00.05","passed":false},{"actual":"00:00:00:02","check":"partial repair variant: pair flag","expected":"00:00:00.02","passed":false},{"actual":"00:00:00:00","check":"boundary control","expected":"00:00:00:00","passed":true},{"actual":"00:00:01:00","check":"boundary control","expected":"00:00:01:00","passed":true},{"actual":"23:59:59:24","check":"normal control","expected":"23:59:59:24","passed":true},{"actual":"00:01:00:03","check":"normal control","expected":"00:01:00:03","passed":true},{"actual":"03:37:12:29","check":"normal control","expected":"03:37:12:29","passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: pair flag\", \"actual\": \"00:00:00:01\", \"expected\": \"00:00:00.01\", \"passed\": false}, {\"check\": \"regression variant: pair flag\", \"actual\": \"21:40:25:10\", \"expected\": \"21:40:25.10\", \"passed\": false}, {\"check\": \"partial repair probe: pair flag\", \"actual\": \"00:00:00:05\", \"expected\": \"00:00:00.05\", \"passed\": false}, {\"check\": \"partial repair variant: pair flag\", \"actual\": \"00:00:00:02\", \"expected\": \"00:00:00.02\", \"passed\": false}, {\"check\": \"boundary control\", \"actual\": \"00:00:00:00\", \"expected\": \"00:00:00:00\", \"passed\": true}, {\"check\": \"boundary control\", \"actual\": \"00:00:01:00\", \"expected\": \"00:00:01:00\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"23:59:59:24\", \"expected\": \"23:59:59:24\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"00:01:00:03\", \"expected\": \"00:01:00:03\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"03:37:12:29\", \"expected\": \"03:37:12:29\", \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.676,"exit_code":1,"observations":[{"actual":"00:00:00:01","check":"regression: pair flag","expected":"00:00:00.01","passed":false},{"actual":"21:40:25:10","check":"regression variant: pair flag","expected":"21:40:25.10","passed":false},{"actual":"00:00:00:05","check":"partial repair probe: pair flag","expected":"00:00:00.05","passed":false},{"actual":"00:00:00:02","check":"partial repair variant: pair flag","expected":"00:00:00.02","passed":false},{"actual":"00:00:00:00","check":"boundary control","expected":"00:00:00:00","passed":true},{"actual":"00:00:01:00","check":"boundary control","expected":"00:00:01:00","passed":true},{"actual":"23:59:59:24","check":"normal control","expected":"23:59:59:24","passed":true},{"actual":"00:01:00:03","check":"normal control","expected":"00:01:00:03","passed":true},{"actual":"03:37:12:29","check":"normal control","expected":"03:37:12:29","passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: pair flag\", \"actual\": \"00:00:00:01\", \"expected\": \"00:00:00.01\", \"passed\": false}, {\"check\": \"regression variant: pair flag\", \"actual\": \"21:40:25:10\", \"expected\": \"21:40:25.10\", \"passed\": false}, {\"check\": \"partial repair probe: pair flag\", \"actual\": \"00:00:00:05\", \"expected\": \"00:00:00.05\", \"passed\": false}, {\"check\": \"partial repair variant: pair flag\", \"actual\": \"00:00:00:02\", \"expected\": \"00:00:00.02\", \"passed\": false}, {\"check\": \"boundary control\", \"actual\": \"00:00:00:00\", \"expected\": \"00:00:00:00\", \"passed\": true}, {\"check\": \"boundary control\", \"actual\": \"00:00:01:00\", \"expected\": \"00:00:01:00\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"23:59:59:24\", \"expected\": \"23:59:59:24\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"00:01:00:03\", \"expected\": \"00:01:00:03\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"03:37:12:29\", \"expected\": \"03:37:12:29\", \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":41.493,"exit_code":0,"observations":[{"actual":"00:00:00.01","check":"regression: pair flag","expected":"00:00:00.01","passed":true},{"actual":"21:40:25.10","check":"regression variant: pair flag","expected":"21:40:25.10","passed":true},{"actual":"00:00:00.05","check":"partial repair probe: pair flag","expected":"00:00:00.05","passed":true},{"actual":"00:00:00.02","check":"partial repair variant: pair flag","expected":"00:00:00.02","passed":true},{"actual":"00:00:00:00","check":"boundary control","expected":"00:00:00:00","passed":true},{"actual":"00:00:01:00","check":"boundary control","expected":"00:00:01:00","passed":true},{"actual":"23:59:59:24","check":"normal control","expected":"23:59:59:24","passed":true},{"actual":"00:01:00:03","check":"normal control","expected":"00:01:00:03","passed":true},{"actual":"03:37:12:29","check":"normal control","expected":"03:37:12:29","passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: pair flag\", \"actual\": \"00:00:00.01\", \"expected\": \"00:00:00.01\", \"passed\": true}, {\"check\": \"regression variant: pair flag\", \"actual\": \"21:40:25.10\", \"expected\": \"21:40:25.10\", \"passed\": true}, {\"check\": \"partial repair probe: pair flag\", \"actual\": \"00:00:00.05\", \"expected\": \"00:00:00.05\", \"passed\": true}, {\"check\": \"partial repair variant: pair flag\", \"actual\": \"00:00:00.02\", \"expected\": \"00:00:00.02\", \"passed\": true}, {\"check\": \"boundary control\", \"actual\": \"00:00:00:00\", \"expected\": \"00:00:00:00\", \"passed\": true}, {\"check\": \"boundary control\", \"actual\": \"00:00:01:00\", \"expected\": \"00:00:01:00\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"23:59:59:24\", \"expected\": \"23:59:59:24\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"00:01:00:03\", \"expected\": \"00:01:00:03\", \"passed\": true}, {\"check\": \"normal control\", \"actual\": \"03:37:12:29\", \"expected\": \"03:37:12:29\", \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}