{"abstract":"The originally published rate is used although a correction for the same instant followed it.","category":"Currency rounding and FX conversion","checks":6,"contract":"solve(ticks, trade_ts, max_age): ticks is the published rate feed [[ts, rate], ...] in publication order. Use the tick with the greatest ts <= trade_ts; among ticks with equal ts the later-published one is a correction and wins. No eligible tick returns 'ERR:no-rate'. If max_age is not None and trade_ts - ts > max_age the rate is 'ERR:stale' (max_age 0 accepts only a same-instant tick). Return [ts, rate].","evaluation_group":"w2-currency_rounding_and_fx_conversion-as-of-rate-selection","failed_approach":"Sorting the feed first breaks ties by rate text, not publication order.","family":"w2-currency_rounding_and_fx_conversion-as-of-rate-selection-correction-tie","id":"FA-61971","implementations":{"attempt":{"sha256":"b8b49156abf5dc0117e811a211c18290fbc60cab558621005af20710cec42b2b","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom decimal import Decimal, ROUND_HALF_EVEN, ROUND_HALF_UP, ROUND_FLOOR, ROUND_CEILING, ROUND_DOWN, ROUND_UP, ROUND_HALF_DOWN\nN = 1\nobservations = []\ndef solve(ticks, trade_ts, max_age):\n    best = None\n    for ts, r in sorted(ticks):\n        if ts <= trade_ts and (best is None or ts >= best[0]):\n            best = [ts, r]\n    if best is None: return 'ERR:no-rate'\n    if max_age is not None and trade_ts - best[0] > max_age: return 'ERR:stale'\n    return best\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('regression correction-tie 1', ([[1, '1.10'], [5, '1.21'], [5, '1.20']], 7, 3), [5, '1.20']),\n  ('regression correction-tie 2', ([[6, '1.26'], [2, '1.22'], [6, '1.19']], 6, 1), [6, '1.19']),\n  ('control: correction wins', ([[1, '1.10'], [5, '1.20'], [5, '1.21'], [9, '1.30']], 7, 3), [5, '1.21']),\n  ('control: stale', ([[1, '1.10'], [9, '1.30']], 7, 3), 'ERR:stale'),\n  ('control: only future', ([[9, '1.30']], 7, None), 'ERR:no-rate'),\n  ('control: same instant zero age', ([[7, '1.40']], 7, 0), [7, '1.40'])],\n [('regression correction-tie 1', ([[1, '1.10'], [5, '1.20'], [5, '1.21'], [9, '1.30']], 7, 3), [5, '1.21']),\n  ('regression correction-tie 2', ([[11, '1.1481'], [15, '1.1232'], [15, '1.0770']], 19, 8), [15, '1.0770']),\n  ('partial repair guard 2',\n   ([[12, '1.1568'], [4, '1.1957'], [11, '1.1716'], [12, '1.1097'], [12, '1.2564'], [12, '1.0967']], 12, 3),\n   [12, '1.0967']),\n  ('control: same instant zero age', ([[7, '1.40']], 7, 0), [7, '1.40']),\n  ('control: unlimited age', ([[0, '1.05']], 20, None), [0, '1.05']),\n  ('control: age boundary', ([[4, '1.11'], [12, '1.50']], 8, 4), [4, '1.11']),\n  ('control: empty feed', ([], 3, 5), 'ERR:no-rate')],\n [('regression correction-tie 1',\n   ([[5, '1.1041'], [16, '1.2924'], [15, '1.0087'], [9, '1.2750'], [15, '1.0502']], 15, 3), [15, '1.0502']),\n  ('regression correction-tie 2',\n   ([[12, '1.1568'], [4, '1.1957'], [11, '1.1716'], [12, '1.1097'], [12, '1.2564'], [12, '1.0967']], 12, 3),\n   [12, '1.0967']),\n  ('partial repair guard 1',\n   ([[20, '1.0695'], [16, '1.2883'], [6, '1.1478'], [16, '1.2014'], [16, '1.0090']], 19, None), [16, '1.0090']),\n  ('partial repair guard 2', ([[0, '1.0555'], [9, '1.2910'], [9, '1.0280']], 19, None), [9, '1.0280']),\n  ('control: empty feed', ([], 3, 5), 'ERR:no-rate'),\n  ('control: out of order feed', ([[6, '1.26'], [2, '1.22'], [6, '1.19']], 6, 1), [6, '1.19']),\n  ('control: correction wins', ([[1, '1.10'], [5, '1.20'], [5, '1.21'], [9, '1.30']], 7, 3), [5, '1.21']),\n  ('control: stale', ([[1, '1.10'], [9, '1.30']], 7, 3), 'ERR:stale')],\n [('regression correction-tie 1',\n   ([[0, '1.1341'], [13, '1.0696'], [19, '1.0299'], [1, '1.2655'], [13, '1.2166'], [12, '1.2746']], 17, 5),\n   [13, '1.2166']),\n  ('regression correction-tie 2', ([[2, '1.2352'], [14, '1.0590'], [14, '1.1200'], [3, '1.2701']], 14, 8),\n   [14, '1.1200']),\n  ('partial repair guard 1', ([[16, '1.2855'], [6, '1.2676'], [6, '1.2544'], [0, '1.0664'], [11, '1.1456']], 6, 2),\n   [6, '1.2544']),\n  ('partial repair guard 2', ([[1, '1.2244'], [14, '1.2485'], [14, '1.0961']], 14, 0), [14, '1.0961']),\n  ('control: stale', ([[1, '1.10'], [9, '1.30']], 7, 3), 'ERR:stale'),\n  ('control: only future', ([[9, '1.30']], 7, None), 'ERR:no-rate'),\n  ('control: same instant zero age', ([[7, '1.40']], 7, 0), [7, '1.40']),\n  ('control: unlimited age', ([[0, '1.05']], 20, None), [0, '1.05'])],\n [('regression correction-tie 1',\n   ([[20, '1.0695'], [16, '1.2883'], [6, '1.1478'], [16, '1.2014'], [16, '1.0090']], 19, None), [16, '1.0090']),\n  ('regression correction-tie 2', ([[0, '1.0555'], [9, '1.2910'], [9, '1.0280']], 19, None), [9, '1.0280']),\n  ('partial repair guard 1', ([[18, '1.1694'], [18, '1.1305'], [15, '1.1997'], [19, '1.0173'], [16, '1.0481']], 18, 8),\n   [18, '1.1305']),\n  ('partial repair guard 2', ([[19, '1.0893'], [0, '1.2923'], [0, '1.2821']], 0, 5), [0, '1.2821']),\n  ('control: unlimited age', ([[0, '1.05']], 20, None), [0, '1.05']),\n  ('control: age boundary', ([[4, '1.11'], [12, '1.50']], 8, 4), [4, '1.11']),\n  ('control: empty feed', ([], 3, 5), 'ERR:no-rate'),\n  ('control: out of order feed', ([[6, '1.26'], [2, '1.22'], [6, '1.19']], 6, 1), [6, '1.19'])]]\nfor label, args, expected in cases[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":"99472aeb4caa3b406b807f9757bf95a0111536d5dad309720878f242b916a61a","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom decimal import Decimal, ROUND_HALF_EVEN, ROUND_HALF_UP, ROUND_FLOOR, ROUND_CEILING, ROUND_DOWN, ROUND_UP, ROUND_HALF_DOWN\nN = 1\nobservations = []\ndef solve(ticks, trade_ts, max_age):\n    best = None\n    for ts, r in ticks:\n        if ts <= trade_ts and (best is None or ts > best[0]):\n            best = [ts, r]\n    if best is None: return 'ERR:no-rate'\n    if max_age is not None and trade_ts - best[0] > max_age: return 'ERR:stale'\n    return best\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('regression correction-tie 1', ([[1, '1.10'], [5, '1.21'], [5, '1.20']], 7, 3), [5, '1.20']),\n  ('regression correction-tie 2', ([[6, '1.26'], [2, '1.22'], [6, '1.19']], 6, 1), [6, '1.19']),\n  ('control: correction wins', ([[1, '1.10'], [5, '1.20'], [5, '1.21'], [9, '1.30']], 7, 3), [5, '1.21']),\n  ('control: stale', ([[1, '1.10'], [9, '1.30']], 7, 3), 'ERR:stale'),\n  ('control: only future', ([[9, '1.30']], 7, None), 'ERR:no-rate'),\n  ('control: same instant zero age', ([[7, '1.40']], 7, 0), [7, '1.40'])],\n [('regression correction-tie 1', ([[1, '1.10'], [5, '1.20'], [5, '1.21'], [9, '1.30']], 7, 3), [5, '1.21']),\n  ('regression correction-tie 2', ([[11, '1.1481'], [15, '1.1232'], [15, '1.0770']], 19, 8), [15, '1.0770']),\n  ('partial repair guard 2',\n   ([[12, '1.1568'], [4, '1.1957'], [11, '1.1716'], [12, '1.1097'], [12, '1.2564'], [12, '1.0967']], 12, 3),\n   [12, '1.0967']),\n  ('control: same instant zero age', ([[7, '1.40']], 7, 0), [7, '1.40']),\n  ('control: unlimited age', ([[0, '1.05']], 20, None), [0, '1.05']),\n  ('control: age boundary', ([[4, '1.11'], [12, '1.50']], 8, 4), [4, '1.11']),\n  ('control: empty feed', ([], 3, 5), 'ERR:no-rate')],\n [('regression correction-tie 1',\n   ([[5, '1.1041'], [16, '1.2924'], [15, '1.0087'], [9, '1.2750'], [15, '1.0502']], 15, 3), [15, '1.0502']),\n  ('regression correction-tie 2',\n   ([[12, '1.1568'], [4, '1.1957'], [11, '1.1716'], [12, '1.1097'], [12, '1.2564'], [12, '1.0967']], 12, 3),\n   [12, '1.0967']),\n  ('partial repair guard 1',\n   ([[20, '1.0695'], [16, '1.2883'], [6, '1.1478'], [16, '1.2014'], [16, '1.0090']], 19, None), [16, '1.0090']),\n  ('partial repair guard 2', ([[0, '1.0555'], [9, '1.2910'], [9, '1.0280']], 19, None), [9, '1.0280']),\n  ('control: empty feed', ([], 3, 5), 'ERR:no-rate'),\n  ('control: out of order feed', ([[6, '1.26'], [2, '1.22'], [6, '1.19']], 6, 1), [6, '1.19']),\n  ('control: correction wins', ([[1, '1.10'], [5, '1.20'], [5, '1.21'], [9, '1.30']], 7, 3), [5, '1.21']),\n  ('control: stale', ([[1, '1.10'], [9, '1.30']], 7, 3), 'ERR:stale')],\n [('regression correction-tie 1',\n   ([[0, '1.1341'], [13, '1.0696'], [19, '1.0299'], [1, '1.2655'], [13, '1.2166'], [12, '1.2746']], 17, 5),\n   [13, '1.2166']),\n  ('regression correction-tie 2', ([[2, '1.2352'], [14, '1.0590'], [14, '1.1200'], [3, '1.2701']], 14, 8),\n   [14, '1.1200']),\n  ('partial repair guard 1', ([[16, '1.2855'], [6, '1.2676'], [6, '1.2544'], [0, '1.0664'], [11, '1.1456']], 6, 2),\n   [6, '1.2544']),\n  ('partial repair guard 2', ([[1, '1.2244'], [14, '1.2485'], [14, '1.0961']], 14, 0), [14, '1.0961']),\n  ('control: stale', ([[1, '1.10'], [9, '1.30']], 7, 3), 'ERR:stale'),\n  ('control: only future', ([[9, '1.30']], 7, None), 'ERR:no-rate'),\n  ('control: same instant zero age', ([[7, '1.40']], 7, 0), [7, '1.40']),\n  ('control: unlimited age', ([[0, '1.05']], 20, None), [0, '1.05'])],\n [('regression correction-tie 1',\n   ([[20, '1.0695'], [16, '1.2883'], [6, '1.1478'], [16, '1.2014'], [16, '1.0090']], 19, None), [16, '1.0090']),\n  ('regression correction-tie 2', ([[0, '1.0555'], [9, '1.2910'], [9, '1.0280']], 19, None), [9, '1.0280']),\n  ('partial repair guard 1', ([[18, '1.1694'], [18, '1.1305'], [15, '1.1997'], [19, '1.0173'], [16, '1.0481']], 18, 8),\n   [18, '1.1305']),\n  ('partial repair guard 2', ([[19, '1.0893'], [0, '1.2923'], [0, '1.2821']], 0, 5), [0, '1.2821']),\n  ('control: unlimited age', ([[0, '1.05']], 20, None), [0, '1.05']),\n  ('control: age boundary', ([[4, '1.11'], [12, '1.50']], 8, 4), [4, '1.11']),\n  ('control: empty feed', ([], 3, 5), 'ERR:no-rate'),\n  ('control: out of order feed', ([[6, '1.26'], [2, '1.22'], [6, '1.19']], 6, 1), [6, '1.19'])]]\nfor label, args, expected in cases[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":"3dbd74c046fe8e6be6172c79f8247b8b5f321fb7b82ef95c6933f376f96a72c8","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom decimal import Decimal, ROUND_HALF_EVEN, ROUND_HALF_UP, ROUND_FLOOR, ROUND_CEILING, ROUND_DOWN, ROUND_UP, ROUND_HALF_DOWN\nN = 1\nobservations = []\ndef solve(ticks, trade_ts, max_age):\n    best = None\n    for ts, r in ticks:\n        if ts <= trade_ts and (best is None or ts >= best[0]):\n            best = [ts, r]\n    if best is None: return 'ERR:no-rate'\n    if max_age is not None and trade_ts - best[0] > max_age: return 'ERR:stale'\n    return best\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[('regression correction-tie 1', ([[1, '1.10'], [5, '1.21'], [5, '1.20']], 7, 3), [5, '1.20']),\n  ('regression correction-tie 2', ([[6, '1.26'], [2, '1.22'], [6, '1.19']], 6, 1), [6, '1.19']),\n  ('control: correction wins', ([[1, '1.10'], [5, '1.20'], [5, '1.21'], [9, '1.30']], 7, 3), [5, '1.21']),\n  ('control: stale', ([[1, '1.10'], [9, '1.30']], 7, 3), 'ERR:stale'),\n  ('control: only future', ([[9, '1.30']], 7, None), 'ERR:no-rate'),\n  ('control: same instant zero age', ([[7, '1.40']], 7, 0), [7, '1.40'])],\n [('regression correction-tie 1', ([[1, '1.10'], [5, '1.20'], [5, '1.21'], [9, '1.30']], 7, 3), [5, '1.21']),\n  ('regression correction-tie 2', ([[11, '1.1481'], [15, '1.1232'], [15, '1.0770']], 19, 8), [15, '1.0770']),\n  ('partial repair guard 2',\n   ([[12, '1.1568'], [4, '1.1957'], [11, '1.1716'], [12, '1.1097'], [12, '1.2564'], [12, '1.0967']], 12, 3),\n   [12, '1.0967']),\n  ('control: same instant zero age', ([[7, '1.40']], 7, 0), [7, '1.40']),\n  ('control: unlimited age', ([[0, '1.05']], 20, None), [0, '1.05']),\n  ('control: age boundary', ([[4, '1.11'], [12, '1.50']], 8, 4), [4, '1.11']),\n  ('control: empty feed', ([], 3, 5), 'ERR:no-rate')],\n [('regression correction-tie 1',\n   ([[5, '1.1041'], [16, '1.2924'], [15, '1.0087'], [9, '1.2750'], [15, '1.0502']], 15, 3), [15, '1.0502']),\n  ('regression correction-tie 2',\n   ([[12, '1.1568'], [4, '1.1957'], [11, '1.1716'], [12, '1.1097'], [12, '1.2564'], [12, '1.0967']], 12, 3),\n   [12, '1.0967']),\n  ('partial repair guard 1',\n   ([[20, '1.0695'], [16, '1.2883'], [6, '1.1478'], [16, '1.2014'], [16, '1.0090']], 19, None), [16, '1.0090']),\n  ('partial repair guard 2', ([[0, '1.0555'], [9, '1.2910'], [9, '1.0280']], 19, None), [9, '1.0280']),\n  ('control: empty feed', ([], 3, 5), 'ERR:no-rate'),\n  ('control: out of order feed', ([[6, '1.26'], [2, '1.22'], [6, '1.19']], 6, 1), [6, '1.19']),\n  ('control: correction wins', ([[1, '1.10'], [5, '1.20'], [5, '1.21'], [9, '1.30']], 7, 3), [5, '1.21']),\n  ('control: stale', ([[1, '1.10'], [9, '1.30']], 7, 3), 'ERR:stale')],\n [('regression correction-tie 1',\n   ([[0, '1.1341'], [13, '1.0696'], [19, '1.0299'], [1, '1.2655'], [13, '1.2166'], [12, '1.2746']], 17, 5),\n   [13, '1.2166']),\n  ('regression correction-tie 2', ([[2, '1.2352'], [14, '1.0590'], [14, '1.1200'], [3, '1.2701']], 14, 8),\n   [14, '1.1200']),\n  ('partial repair guard 1', ([[16, '1.2855'], [6, '1.2676'], [6, '1.2544'], [0, '1.0664'], [11, '1.1456']], 6, 2),\n   [6, '1.2544']),\n  ('partial repair guard 2', ([[1, '1.2244'], [14, '1.2485'], [14, '1.0961']], 14, 0), [14, '1.0961']),\n  ('control: stale', ([[1, '1.10'], [9, '1.30']], 7, 3), 'ERR:stale'),\n  ('control: only future', ([[9, '1.30']], 7, None), 'ERR:no-rate'),\n  ('control: same instant zero age', ([[7, '1.40']], 7, 0), [7, '1.40']),\n  ('control: unlimited age', ([[0, '1.05']], 20, None), [0, '1.05'])],\n [('regression correction-tie 1',\n   ([[20, '1.0695'], [16, '1.2883'], [6, '1.1478'], [16, '1.2014'], [16, '1.0090']], 19, None), [16, '1.0090']),\n  ('regression correction-tie 2', ([[0, '1.0555'], [9, '1.2910'], [9, '1.0280']], 19, None), [9, '1.0280']),\n  ('partial repair guard 1', ([[18, '1.1694'], [18, '1.1305'], [15, '1.1997'], [19, '1.0173'], [16, '1.0481']], 18, 8),\n   [18, '1.1305']),\n  ('partial repair guard 2', ([[19, '1.0893'], [0, '1.2923'], [0, '1.2821']], 0, 5), [0, '1.2821']),\n  ('control: unlimited age', ([[0, '1.05']], 20, None), [0, '1.05']),\n  ('control: age boundary', ([[4, '1.11'], [12, '1.50']], 8, 4), [4, '1.11']),\n  ('control: empty feed', ([], 3, 5), 'ERR:no-rate'),\n  ('control: out of order feed', ([[6, '1.26'], [2, '1.22'], [6, '1.19']], 6, 1), [6, '1.19'])]]\nfor label, args, expected in cases[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 makes no claim of conformance to any real regulation, standard, or institution's rules. 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-currency_rounding_and_fx_conversion-as-of-rate-selection-correction-tie","generated_at":"2026-09-29T14:47:00.173480+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Currency amounts must be rounded at the right stage and in the right unit, or ledgers, quotes and settlements drift by minor units.","repair":"Replace on ts >= best[0] while scanning in publication order.","root_cause":"The replacement test uses ts > best[0], so the first tick at a timestamp is kept.","sha256":"ba8e0ce9d3c45a55377b2cdc2e8560fb7d611506b894602e1ae1af3ecb10601a","title":"A rate correction with the same timestamp is ignored · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":43.419,"exit_code":1,"observations":[{"actual":[5,"1.21"],"check":"regression correction-tie 1","expected":[5,"1.20"],"passed":false},{"actual":[6,"1.26"],"check":"regression correction-tie 2","expected":[6,"1.19"],"passed":false},{"actual":[5,"1.21"],"check":"control: correction wins","expected":[5,"1.21"],"passed":true},{"actual":"ERR:stale","check":"control: stale","expected":"ERR:stale","passed":true},{"actual":"ERR:no-rate","check":"control: only future","expected":"ERR:no-rate","passed":true},{"actual":[7,"1.40"],"check":"control: same instant zero age","expected":[7,"1.40"],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression correction-tie 1\", \"actual\": [5, \"1.21\"], \"expected\": [5, \"1.20\"], \"passed\": false}, {\"check\": \"regression correction-tie 2\", \"actual\": [6, \"1.26\"], \"expected\": [6, \"1.19\"], \"passed\": false}, {\"check\": \"control: correction wins\", \"actual\": [5, \"1.21\"], \"expected\": [5, \"1.21\"], \"passed\": true}, {\"check\": \"control: stale\", \"actual\": \"ERR:stale\", \"expected\": \"ERR:stale\", \"passed\": true}, {\"check\": \"control: only future\", \"actual\": \"ERR:no-rate\", \"expected\": \"ERR:no-rate\", \"passed\": true}, {\"check\": \"control: same instant zero age\", \"actual\": [7, \"1.40\"], \"expected\": [7, \"1.40\"], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.65,"exit_code":1,"observations":[{"actual":[5,"1.21"],"check":"regression correction-tie 1","expected":[5,"1.20"],"passed":false},{"actual":[6,"1.26"],"check":"regression correction-tie 2","expected":[6,"1.19"],"passed":false},{"actual":[5,"1.20"],"check":"control: correction wins","expected":[5,"1.21"],"passed":false},{"actual":"ERR:stale","check":"control: stale","expected":"ERR:stale","passed":true},{"actual":"ERR:no-rate","check":"control: only future","expected":"ERR:no-rate","passed":true},{"actual":[7,"1.40"],"check":"control: same instant zero age","expected":[7,"1.40"],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression correction-tie 1\", \"actual\": [5, \"1.21\"], \"expected\": [5, \"1.20\"], \"passed\": false}, {\"check\": \"regression correction-tie 2\", \"actual\": [6, \"1.26\"], \"expected\": [6, \"1.19\"], \"passed\": false}, {\"check\": \"control: correction wins\", \"actual\": [5, \"1.20\"], \"expected\": [5, \"1.21\"], \"passed\": false}, {\"check\": \"control: stale\", \"actual\": \"ERR:stale\", \"expected\": \"ERR:stale\", \"passed\": true}, {\"check\": \"control: only future\", \"actual\": \"ERR:no-rate\", \"expected\": \"ERR:no-rate\", \"passed\": true}, {\"check\": \"control: same instant zero age\", \"actual\": [7, \"1.40\"], \"expected\": [7, \"1.40\"], \"passed\": 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