{"abstract":"Upgrades charge the full new price for remaining days with no credit for the old plan.","category":"Subscription proration billing","checks":8,"contract":"Input {cur, new, left, period, pending scheduled price|None}. Upgrade (new > cur): charge (new-cur)*left/period half-up now, switch immediately and clear any scheduled change. Downgrade: no charge, keep cur, schedule new (replacing any pending). Same price: no charge and clear the schedule. Return [charge, active_price, scheduled].","evaluation_group":"w2-subscription-proration-upgrade-now-downgrade-later","failed_approach":"The attempt charges the difference for elapsed days rather than remaining days.","family":"w2-subscription-proration-upgrade-now-downgrade-later-upgrade-charge-basis","id":"FA-59681","implementations":{"attempt":{"sha256":"7a7b38af8f9f6b507f8bef8f6e53439709cb31689a652ef14e97848449ce1832","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    if x['new'] > x['cur']:\n        ch = ((x['new'] - x['cur']) * (x['period'] - x['left']) * 2 + x['period']) // (2 * x['period'])\n        return [ch, x['new'], None]\n    if x['new'] < x['cur']:\n        return [0, x['cur'], x['new']]\n    return [0, x['cur'], None]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'cur': 5000, 'new': 7500, 'left': 20, 'period': 30, 'pending': None}, [1667, 7500, None]), ('regression', {'cur': 5000, 'new': 7500, 'left': 5, 'period': 30, 'pending': None}, [417, 7500, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 28, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 21, 'period': 31, 'pending': None}, [0, 1000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 220, 'period': 365, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 26, 'period': 31, 'pending': 1000}, [0, 5000, None])], [('regression', {'cur': 5000, 'new': 7500, 'left': 5, 'period': 30, 'pending': None}, [417, 7500, None]), ('regression', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 13, 'period': 30, 'pending': None}, [0, 1000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 14, 'period': 30, 'pending': 1000}, [0, 5000, 1000]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('normal control', {'cur': 2000, 'new': 1000, 'left': 1, 'period': 31, 'pending': 1000}, [0, 2000, 1000])], [('regression', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('regression', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 272, 'period': 365, 'pending': 500}, [745, 2000, None]), ('normal control', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 1000, 'left': 15, 'period': 31, 'pending': 1000}, [0, 2000, 1000]), ('normal control', {'cur': 2000, 'new': 1000, 'left': 252, 'period': 365, 'pending': 500}, [0, 2000, 1000])], [('regression', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('regression', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 1, 'period': 30, 'pending': 2000}, [33, 2000, None]), ('partial-repair probe', {'cur': 1000, 'new': 5000, 'left': 29, 'period': 30, 'pending': 1000}, [3867, 5000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, 1000]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 20, 'period': 31, 'pending': 2000}, [0, 1000, None]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 24, 'period': 31, 'pending': None}, [0, 5000, None]), ('normal control', {'cur': 5000, 'new': 2000, 'left': 11, 'period': 31, 'pending': 500}, [0, 5000, 2000])], [('regression', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('regression', {'cur': 1000, 'new': 2000, 'left': 272, 'period': 365, 'pending': 500}, [745, 2000, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 139, 'period': 365, 'pending': None}, [1142, 5000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 39, 'period': 365, 'pending': 2000}, [107, 2000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 21, 'period': 30, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 24, 'period': 30, 'pending': 1000}, [0, 2000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 328, 'period': 365, 'pending': 1000}, [0, 5000, 1000]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 201, 'period': 365, 'pending': None}, [0, 1000, None])]]\nfor i, (label, args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (label, 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":"ba14ef455fbb253c313dca9edceda98123d708b32c54d5791995db06feba48a3","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    if x['new'] > x['cur']:\n        ch = (x['new'] * x['left'] * 2 + x['period']) // (2 * x['period'])\n        return [ch, x['new'], None]\n    if x['new'] < x['cur']:\n        return [0, x['cur'], x['new']]\n    return [0, x['cur'], None]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'cur': 5000, 'new': 7500, 'left': 20, 'period': 30, 'pending': None}, [1667, 7500, None]), ('regression', {'cur': 5000, 'new': 7500, 'left': 5, 'period': 30, 'pending': None}, [417, 7500, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 28, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 21, 'period': 31, 'pending': None}, [0, 1000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 220, 'period': 365, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 26, 'period': 31, 'pending': 1000}, [0, 5000, None])], [('regression', {'cur': 5000, 'new': 7500, 'left': 5, 'period': 30, 'pending': None}, [417, 7500, None]), ('regression', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 13, 'period': 30, 'pending': None}, [0, 1000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 14, 'period': 30, 'pending': 1000}, [0, 5000, 1000]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('normal control', {'cur': 2000, 'new': 1000, 'left': 1, 'period': 31, 'pending': 1000}, [0, 2000, 1000])], [('regression', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('regression', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 272, 'period': 365, 'pending': 500}, [745, 2000, None]), ('normal control', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 1000, 'left': 15, 'period': 31, 'pending': 1000}, [0, 2000, 1000]), ('normal control', {'cur': 2000, 'new': 1000, 'left': 252, 'period': 365, 'pending': 500}, [0, 2000, 1000])], [('regression', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('regression', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 1, 'period': 30, 'pending': 2000}, [33, 2000, None]), ('partial-repair probe', {'cur': 1000, 'new': 5000, 'left': 29, 'period': 30, 'pending': 1000}, [3867, 5000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, 1000]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 20, 'period': 31, 'pending': 2000}, [0, 1000, None]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 24, 'period': 31, 'pending': None}, [0, 5000, None]), ('normal control', {'cur': 5000, 'new': 2000, 'left': 11, 'period': 31, 'pending': 500}, [0, 5000, 2000])], [('regression', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('regression', {'cur': 1000, 'new': 2000, 'left': 272, 'period': 365, 'pending': 500}, [745, 2000, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 139, 'period': 365, 'pending': None}, [1142, 5000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 39, 'period': 365, 'pending': 2000}, [107, 2000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 21, 'period': 30, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 24, 'period': 30, 'pending': 1000}, [0, 2000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 328, 'period': 365, 'pending': 1000}, [0, 5000, 1000]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 201, 'period': 365, 'pending': None}, [0, 1000, None])]]\nfor i, (label, args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (label, 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"},"fixed":{"sha256":"2288d8e2d54f5ac1c2b52c84b1e584c8cb8f7d3d07ff92a53e06b541c28d2b57","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    if x['new'] > x['cur']:\n        ch = ((x['new'] - x['cur']) * x['left'] * 2 + x['period']) // (2 * x['period'])\n        return [ch, x['new'], None]\n    if x['new'] < x['cur']:\n        return [0, x['cur'], x['new']]\n    return [0, x['cur'], None]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression', {'cur': 5000, 'new': 7500, 'left': 20, 'period': 30, 'pending': None}, [1667, 7500, None]), ('regression', {'cur': 5000, 'new': 7500, 'left': 5, 'period': 30, 'pending': None}, [417, 7500, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 28, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 21, 'period': 31, 'pending': None}, [0, 1000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 220, 'period': 365, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 26, 'period': 31, 'pending': 1000}, [0, 5000, None])], [('regression', {'cur': 5000, 'new': 7500, 'left': 5, 'period': 30, 'pending': None}, [417, 7500, None]), ('regression', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 13, 'period': 30, 'pending': None}, [0, 1000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 14, 'period': 30, 'pending': 1000}, [0, 5000, 1000]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 16, 'period': 31, 'pending': 500}, [0, 5000, 1000]), ('normal control', {'cur': 2000, 'new': 1000, 'left': 1, 'period': 31, 'pending': 1000}, [0, 2000, 1000])], [('regression', {'cur': 2000, 'new': 5000, 'left': 21, 'period': 30, 'pending': None}, [2100, 5000, None]), ('regression', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 272, 'period': 365, 'pending': 500}, [745, 2000, None]), ('normal control', {'cur': 5000, 'new': 2000, 'left': 30, 'period': 30, 'pending': 1000}, [0, 5000, 2000]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, None]), ('normal control', {'cur': 2000, 'new': 1000, 'left': 15, 'period': 31, 'pending': 1000}, [0, 2000, 1000]), ('normal control', {'cur': 2000, 'new': 1000, 'left': 252, 'period': 365, 'pending': 500}, [0, 2000, 1000])], [('regression', {'cur': 2000, 'new': 5000, 'left': 24, 'period': 30, 'pending': None}, [2400, 5000, None]), ('regression', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 1, 'period': 30, 'pending': 2000}, [33, 2000, None]), ('partial-repair probe', {'cur': 1000, 'new': 5000, 'left': 29, 'period': 30, 'pending': 1000}, [3867, 5000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 25, 'period': 31, 'pending': 2000}, [0, 5000, 1000]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 20, 'period': 31, 'pending': 2000}, [0, 1000, None]), ('normal control', {'cur': 5000, 'new': 5000, 'left': 24, 'period': 31, 'pending': None}, [0, 5000, None]), ('normal control', {'cur': 5000, 'new': 2000, 'left': 11, 'period': 31, 'pending': 500}, [0, 5000, 2000])], [('regression', {'cur': 1000, 'new': 2000, 'left': 17, 'period': 30, 'pending': 2000}, [567, 2000, None]), ('regression', {'cur': 1000, 'new': 2000, 'left': 272, 'period': 365, 'pending': 500}, [745, 2000, None]), ('partial-repair probe', {'cur': 2000, 'new': 5000, 'left': 139, 'period': 365, 'pending': None}, [1142, 5000, None]), ('partial-repair probe', {'cur': 1000, 'new': 2000, 'left': 39, 'period': 365, 'pending': 2000}, [107, 2000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 21, 'period': 30, 'pending': None}, [0, 2000, None]), ('normal control', {'cur': 2000, 'new': 2000, 'left': 24, 'period': 30, 'pending': 1000}, [0, 2000, None]), ('normal control', {'cur': 5000, 'new': 1000, 'left': 328, 'period': 365, 'pending': 1000}, [0, 5000, 1000]), ('normal control', {'cur': 1000, 'new': 1000, 'left': 201, 'period': 365, 'pending': None}, [0, 1000, None])]]\nfor i, (label, args, expected) in enumerate(fixtures[N-1]):\n    check(\"%s %d\" % (label, 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 teaching model of a stipulated billing rule. It makes no claim to reproduce any billing provider's exact behaviour and is not billing software. 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-subscription-proration-upgrade-now-downgrade-later-upgrade-charge-basis","generated_at":"2026-09-29T14:46:38.519892+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Asymmetric upgrade/downgrade policies must not let a stale scheduled downgrade override an upgrade.","repair":"Restore the contract rule at the upgrade charge basis step: use `(x['new'] - x['cur']) * x['left']`.","root_cause":"The prorated charge uses the new price instead of the price difference.","sha256":"bea36e5c3ceef192652f684593c7ab2d6c29d5c76df7a518236ff38bc4636733","title":"Immediate upgrades and scheduled downgrades: upgrade charge basis · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":37.918,"exit_code":1,"observations":[{"actual":[833,7500,null],"check":"regression 0","expected":[1667,7500,null],"passed":false},{"actual":[2083,7500,null],"check":"regression 1","expected":[417,7500,null],"passed":false},{"actual":[900,5000,null],"check":"partial-repair probe 2","expected":[2100,5000,null],"passed":false},{"actual":[600,5000,null],"check":"partial-repair probe 3","expected":[2400,5000,null],"passed":false},{"actual":[0,5000,1000],"check":"normal control 4","expected":[0,5000,1000],"passed":true},{"actual":[0,1000,null],"check":"normal control 5","expected":[0,1000,null],"passed":true},{"actual":[0,2000,null],"check":"normal control 6","expected":[0,2000,null],"passed":true},{"actual":[0,5000,null],"check":"normal control 7","expected":[0,5000,null],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [833, 7500, null], \"expected\": [1667, 7500, null], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [2083, 7500, null], \"expected\": [417, 7500, null], \"passed\": false}, {\"check\": \"partial-repair probe 2\", \"actual\": [900, 5000, null], \"expected\": [2100, 5000, null], \"passed\": false}, {\"check\": \"partial-repair probe 3\", \"actual\": [600, 5000, null], \"expected\": [2400, 5000, null], \"passed\": false}, {\"check\": \"normal control 4\", \"actual\": [0, 5000, 1000], \"expected\": [0, 5000, 1000], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [0, 1000, null], \"expected\": [0, 1000, null], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [0, 2000, null], \"expected\": [0, 2000, null], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [0, 5000, null], \"expected\": [0, 5000, null], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":42.558,"exit_code":1,"observations":[{"actual":[5000,7500,null],"check":"regression 0","expected":[1667,7500,null],"passed":false},{"actual":[1250,7500,null],"check":"regression 1","expected":[417,7500,null],"passed":false},{"actual":[3500,5000,null],"check":"partial-repair probe 2","expected":[2100,5000,null],"passed":false},{"actual":[4000,5000,null],"check":"partial-repair probe 3","expected":[2400,5000,null],"passed":false},{"actual":[0,5000,1000],"check":"normal control 4","expected":[0,5000,1000],"passed":true},{"actual":[0,1000,null],"check":"normal control 5","expected":[0,1000,null],"passed":true},{"actual":[0,2000,null],"check":"normal control 6","expected":[0,2000,null],"passed":true},{"actual":[0,5000,null],"check":"normal control 7","expected":[0,5000,null],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [5000, 7500, null], \"expected\": [1667, 7500, null], \"passed\": false}, {\"check\": \"regression 1\", \"actual\": [1250, 7500, null], \"expected\": [417, 7500, null], \"passed\": false}, {\"check\": \"partial-repair probe 2\", \"actual\": [3500, 5000, null], \"expected\": [2100, 5000, null], \"passed\": false}, {\"check\": \"partial-repair probe 3\", \"actual\": [4000, 5000, null], \"expected\": [2400, 5000, null], \"passed\": false}, {\"check\": \"normal control 4\", \"actual\": [0, 5000, 1000], \"expected\": [0, 5000, 1000], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [0, 1000, null], \"expected\": [0, 1000, null], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [0, 2000, null], \"expected\": [0, 2000, null], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [0, 5000, null], \"expected\": [0, 5000, null], \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":41.207,"exit_code":0,"observations":[{"actual":[1667,7500,null],"check":"regression 0","expected":[1667,7500,null],"passed":true},{"actual":[417,7500,null],"check":"regression 1","expected":[417,7500,null],"passed":true},{"actual":[2100,5000,null],"check":"partial-repair probe 2","expected":[2100,5000,null],"passed":true},{"actual":[2400,5000,null],"check":"partial-repair probe 3","expected":[2400,5000,null],"passed":true},{"actual":[0,5000,1000],"check":"normal control 4","expected":[0,5000,1000],"passed":true},{"actual":[0,1000,null],"check":"normal control 5","expected":[0,1000,null],"passed":true},{"actual":[0,2000,null],"check":"normal control 6","expected":[0,2000,null],"passed":true},{"actual":[0,5000,null],"check":"normal control 7","expected":[0,5000,null],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression 0\", \"actual\": [1667, 7500, null], \"expected\": [1667, 7500, null], \"passed\": true}, {\"check\": \"regression 1\", \"actual\": [417, 7500, null], \"expected\": [417, 7500, null], \"passed\": true}, {\"check\": \"partial-repair probe 2\", \"actual\": [2100, 5000, null], \"expected\": [2100, 5000, null], \"passed\": true}, {\"check\": \"partial-repair probe 3\", \"actual\": [2400, 5000, null], \"expected\": [2400, 5000, null], \"passed\": true}, {\"check\": \"normal control 4\", \"actual\": [0, 5000, 1000], \"expected\": [0, 5000, 1000], \"passed\": true}, {\"check\": \"normal control 5\", \"actual\": [0, 1000, null], \"expected\": [0, 1000, null], \"passed\": true}, {\"check\": \"normal control 6\", \"actual\": [0, 2000, null], \"expected\": [0, 2000, null], \"passed\": true}, {\"check\": \"normal control 7\", \"actual\": [0, 5000, null], \"expected\": [0, 5000, null], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}