{"abstract":"Favourites become bigger favourites after teasing.","category":"Betting odds conversion","checks":8,"contract":"Point-spread teaser. legs rows are [team spread line, team margin of victory]; every line is moved in the bettor's favour by points (adjusted = line + points). A leg wins if margin + adjusted > 0, pushes if = 0, loses if < 0. Any losing leg loses the ticket. Pushed legs are dropped; fewer than 2 remaining winners refunds the stake. Payout by winning legs from the American table {2: -120, 3: +160, 4: +260, 5: +400} (5 or more pay +400). Return [status, return cents rounded down].","evaluation_group":"w2-odds-conversion-football-teaser-grading","failed_approach":"Teasing only favourites leaves underdog lines untouched.","family":"w2-odds-conversion-football-teaser-grading-line-shift-direction","id":"FA-84751","implementations":{"attempt":{"sha256":"6588ec463846de8c4d5f380489167293e91f9aff81a6a32bd1f1e2bb64f27d93","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(legs, points, stake_cents):\n    TABLE = {2: -120, 3: 160, 4: 260, 5: 400}\n    wins = 0\n    for line, margin in legs:\n        adj = Fraction(line) + Fraction(points) if Fraction(line) < 0 else Fraction(line)\n        v = margin + adj\n        if v < 0:\n            return ['lose', 0]\n        if v > 0:\n            wins += 1\n    if wins < 2:\n        return ['refund', stake_cents]\n    am = TABLE[min(wins, 5)]\n    dec = 1 + (Fraction(am, 100) if am > 0 else Fraction(100, -am))\n    return ['win', math.floor(stake_cents * dec)]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ndef run(args):\n    try:\n        return solve(*args)\n    except Exception as exc:\n        return 'raised ' + type(exc).__name__\ncases = [[('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['-7', 5], ['+7', 0], ['+7', -10]], '6', 500),\n   ['win', 1300]),\n  ('variant scenario 1', ([['+1.5', 11], ['-10', 4], ['-10', -5]], '7', 1100), ['lose', 0]),\n  ('variant scenario 2',\n   ([['-7.5', -8], ['-7', 14], ['-3', 9], ['+7', 13], ['-3', 0], ['-7', 8]], '6', 1000),\n   ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['+1.5', 11], ['+3', -7], ['+7', 9], ['+1.5', 2], ['-10', 12]], '7', 1000),\n   ['win', 5000]),\n  ('variant scenario 1',\n   ([['+1.5', -13], ['+1.5', 2], ['-10', 9], ['-7.5', -7], ['-7.5', 7]], '6.5', 1100),\n   ['lose', 0]),\n  ('variant scenario 2', ([['-7.5', -12], ['-7.5', 13]], '6.5', 1000), ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction', ([['+2.5', -2], ['+3', 1]], '6', 1100), ['win', 2016]),\n  ('regression: line shift direction', ([['+3', -9], ['-10', 6]], '6', 1100), ['refund', 1100]),\n  ('variant scenario 1',\n   ([['-10', 10], ['-7', -5], ['+7', -6], ['-3', 3], ['-1', -4], ['+7', -2]], '7', 1000),\n   ['lose', 0]),\n  ('variant scenario 2', ([['+1.5', -12], ['-7', -11], ['-7', -3]], '6.5', 1000), ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['+3', 11], ['+1.5', 7], ['-3', 4], ['-7', 2]], '6.5', 1100),\n   ['win', 3960]),\n  ('regression: line shift direction', ([['-1', 3], ['+7', -8]], '7', 1000), ['win', 1833]),\n  ('variant scenario 1', ([['-7.5', 4], ['-7.5', -1], ['+1.5', -12]], '7', 1000), ['lose', 0]),\n  ('variant scenario 2', ([['+7', 0], ['-7.5', -14], ['-7', 9]], '6', 500), ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['-10', 11], ['+3', -4], ['-3', 1], ['+7', -12]], '6', 1000),\n   ['win', 3600]),\n  ('variant scenario 1', ([['-7', -12], ['-7', -2]], '6', 500), ['lose', 0]),\n  ('variant scenario 2',\n   ([['-1', -7], ['-7.5', 12], ['-7.5', -12], ['+3', 8], ['-10', -2]], '7', 1000),\n   ['lose', 0])]]\nfor label, args, expected in cases[N - 1]:\n    check(label, run(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":"6461c54e69c42aa93d61cd8858af28108f0054413a9491f8f24853a55b075bda","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(legs, points, stake_cents):\n    TABLE = {2: -120, 3: 160, 4: 260, 5: 400}\n    wins = 0\n    for line, margin in legs:\n        adj = Fraction(line) - Fraction(points)\n        v = margin + adj\n        if v < 0:\n            return ['lose', 0]\n        if v > 0:\n            wins += 1\n    if wins < 2:\n        return ['refund', stake_cents]\n    am = TABLE[min(wins, 5)]\n    dec = 1 + (Fraction(am, 100) if am > 0 else Fraction(100, -am))\n    return ['win', math.floor(stake_cents * dec)]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ndef run(args):\n    try:\n        return solve(*args)\n    except Exception as exc:\n        return 'raised ' + type(exc).__name__\ncases = [[('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['-7', 5], ['+7', 0], ['+7', -10]], '6', 500),\n   ['win', 1300]),\n  ('variant scenario 1', ([['+1.5', 11], ['-10', 4], ['-10', -5]], '7', 1100), ['lose', 0]),\n  ('variant scenario 2',\n   ([['-7.5', -8], ['-7', 14], ['-3', 9], ['+7', 13], ['-3', 0], ['-7', 8]], '6', 1000),\n   ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['+1.5', 11], ['+3', -7], ['+7', 9], ['+1.5', 2], ['-10', 12]], '7', 1000),\n   ['win', 5000]),\n  ('variant scenario 1',\n   ([['+1.5', -13], ['+1.5', 2], ['-10', 9], ['-7.5', -7], ['-7.5', 7]], '6.5', 1100),\n   ['lose', 0]),\n  ('variant scenario 2', ([['-7.5', -12], ['-7.5', 13]], '6.5', 1000), ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction', ([['+2.5', -2], ['+3', 1]], '6', 1100), ['win', 2016]),\n  ('regression: line shift direction', ([['+3', -9], ['-10', 6]], '6', 1100), ['refund', 1100]),\n  ('variant scenario 1',\n   ([['-10', 10], ['-7', -5], ['+7', -6], ['-3', 3], ['-1', -4], ['+7', -2]], '7', 1000),\n   ['lose', 0]),\n  ('variant scenario 2', ([['+1.5', -12], ['-7', -11], ['-7', -3]], '6.5', 1000), ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['+3', 11], ['+1.5', 7], ['-3', 4], ['-7', 2]], '6.5', 1100),\n   ['win', 3960]),\n  ('regression: line shift direction', ([['-1', 3], ['+7', -8]], '7', 1000), ['win', 1833]),\n  ('variant scenario 1', ([['-7.5', 4], ['-7.5', -1], ['+1.5', -12]], '7', 1000), ['lose', 0]),\n  ('variant scenario 2', ([['+7', 0], ['-7.5', -14], ['-7', 9]], '6', 500), ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['-10', 11], ['+3', -4], ['-3', 1], ['+7', -12]], '6', 1000),\n   ['win', 3600]),\n  ('variant scenario 1', ([['-7', -12], ['-7', -2]], '6', 500), ['lose', 0]),\n  ('variant scenario 2',\n   ([['-1', -7], ['-7.5', 12], ['-7.5', -12], ['+3', 8], ['-10', -2]], '7', 1000),\n   ['lose', 0])]]\nfor label, args, expected in cases[N - 1]:\n    check(label, run(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":"f0102f9b8a4d1f69551fb8237b1350c2825821fd82d8abdc7825813152b07236","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(legs, points, stake_cents):\n    TABLE = {2: -120, 3: 160, 4: 260, 5: 400}\n    wins = 0\n    for line, margin in legs:\n        adj = Fraction(line) + Fraction(points)\n        v = margin + adj\n        if v < 0:\n            return ['lose', 0]\n        if v > 0:\n            wins += 1\n    if wins < 2:\n        return ['refund', stake_cents]\n    am = TABLE[min(wins, 5)]\n    dec = 1 + (Fraction(am, 100) if am > 0 else Fraction(100, -am))\n    return ['win', math.floor(stake_cents * dec)]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ndef run(args):\n    try:\n        return solve(*args)\n    except Exception as exc:\n        return 'raised ' + type(exc).__name__\ncases = [[('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['-7', 5], ['+7', 0], ['+7', -10]], '6', 500),\n   ['win', 1300]),\n  ('variant scenario 1', ([['+1.5', 11], ['-10', 4], ['-10', -5]], '7', 1100), ['lose', 0]),\n  ('variant scenario 2',\n   ([['-7.5', -8], ['-7', 14], ['-3', 9], ['+7', 13], ['-3', 0], ['-7', 8]], '6', 1000),\n   ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['+1.5', 11], ['+3', -7], ['+7', 9], ['+1.5', 2], ['-10', 12]], '7', 1000),\n   ['win', 5000]),\n  ('variant scenario 1',\n   ([['+1.5', -13], ['+1.5', 2], ['-10', 9], ['-7.5', -7], ['-7.5', 7]], '6.5', 1100),\n   ['lose', 0]),\n  ('variant scenario 2', ([['-7.5', -12], ['-7.5', 13]], '6.5', 1000), ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction', ([['+2.5', -2], ['+3', 1]], '6', 1100), ['win', 2016]),\n  ('regression: line shift direction', ([['+3', -9], ['-10', 6]], '6', 1100), ['refund', 1100]),\n  ('variant scenario 1',\n   ([['-10', 10], ['-7', -5], ['+7', -6], ['-3', 3], ['-1', -4], ['+7', -2]], '7', 1000),\n   ['lose', 0]),\n  ('variant scenario 2', ([['+1.5', -12], ['-7', -11], ['-7', -3]], '6.5', 1000), ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['+3', 11], ['+1.5', 7], ['-3', 4], ['-7', 2]], '6.5', 1100),\n   ['win', 3960]),\n  ('regression: line shift direction', ([['-1', 3], ['+7', -8]], '7', 1000), ['win', 1833]),\n  ('variant scenario 1', ([['-7.5', 4], ['-7.5', -1], ['+1.5', -12]], '7', 1000), ['lose', 0]),\n  ('variant scenario 2', ([['+7', 0], ['-7.5', -14], ['-7', 9]], '6', 500), ['lose', 0])],\n [('control two-team teaser', ([['-7.5', 3], ['+2.5', -5]], '6', 1200), ['win', 2200]),\n  ('boundary push drops a leg', ([['-7', 1], ['+3', 0], ['-1', 2]], '6', 1000), ['win', 1833]),\n  ('boundary reduced to one leg', ([['-7', 1], ['+3', 5]], '6', 1000), ['refund', 1000]),\n  ('control losing leg', ([['-10', 2], ['+3', 5], ['+7', 0]], '6', 1000), ['lose', 0]),\n  ('control three winners', ([['-3', 1], ['+3', 0], ['-1', 0]], '6', 1000), ['win', 2600]),\n  ('regression: line shift direction',\n   ([['-10', 11], ['+3', -4], ['-3', 1], ['+7', -12]], '6', 1000),\n   ['win', 3600]),\n  ('variant scenario 1', ([['-7', -12], ['-7', -2]], '6', 500), ['lose', 0]),\n  ('variant scenario 2',\n   ([['-1', -7], ['-7.5', 12], ['-7.5', -12], ['+3', 8], ['-10', -2]], '7', 1000),\n   ['lose', 0])]]\nfor label, args, expected in cases[N - 1]:\n    check(label, run(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":"Stipulated, bounded toy contract stated in the contract field; not a claim of conformance with any operator, exchange or regulator rule set. 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-odds-conversion-football-teaser-grading-line-shift-direction","generated_at":"2026-09-29T14:50:33.952471+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Sportsbooks grade teasers with shifted lines, push reduction and a tiered payout table.","repair":"Add the teaser points to every line.","root_cause":"The teaser points are subtracted from the line.","sha256":"c208b13dba56b17ef05a57cc08841f230cb47deb75e62c2260fd4735b9b78270","title":"Teaser points move the line against the bettor · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":43.962,"exit_code":1,"observations":[{"actual":["lose",0],"check":"control two-team teaser","expected":["win",2200],"passed":false},{"actual":["win",1833],"check":"boundary push drops a leg","expected":["win",1833],"passed":true},{"actual":["refund",1000],"check":"boundary reduced to one leg","expected":["refund",1000],"passed":true},{"actual":["lose",0],"check":"control losing leg","expected":["lose",0],"passed":true},{"actual":["win",2600],"check":"control three winners","expected":["win",2600],"passed":true},{"actual":["lose",0],"check":"regression: line shift direction","expected":["win",1300],"passed":false},{"actual":["lose",0],"check":"variant scenario 1","expected":["lose",0],"passed":true},{"actual":["lose",0],"check":"variant scenario 2","expected":["lose",0],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"control two-team teaser\", \"actual\": [\"lose\", 0], \"expected\": [\"win\", 2200], \"passed\": false}, {\"check\": \"boundary push drops a leg\", \"actual\": [\"win\", 1833], \"expected\": [\"win\", 1833], \"passed\": true}, {\"check\": \"boundary reduced to one leg\", \"actual\": [\"refund\", 1000], \"expected\": [\"refund\", 1000], \"passed\": true}, {\"check\": \"control losing leg\", \"actual\": [\"lose\", 0], \"expected\": [\"lose\", 0], \"passed\": true}, {\"check\": \"control three winners\", \"actual\": [\"win\", 2600], \"expected\": [\"win\", 2600], \"passed\": true}, {\"check\": \"regression: line shift direction\", \"actual\": [\"lose\", 0], \"expected\": [\"win\", 1300], \"passed\": false}, {\"check\": \"variant scenario 1\", \"actual\": [\"lose\", 0], \"expected\": [\"lose\", 0], \"passed\": true}, {\"check\": \"variant scenario 2\", \"actual\": [\"lose\", 0], \"expected\": [\"lose\", 0], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":42.766,"exit_code":1,"observations":[{"actual":["lose",0],"check":"control two-team teaser","expected":["win",2200],"passed":false},{"actual":["lose",0],"check":"boundary push drops a leg","expected":["win",1833],"passed":false},{"actual":["lose",0],"check":"boundary reduced to one leg","expected":["refund",1000],"passed":false},{"actual":["lose",0],"check":"control losing leg","expected":["lose",0],"passed":true},{"actual":["lose",0],"check":"control three winners","expected":["win",2600],"passed":false},{"actual":["lose",0],"check":"regression: line shift direction","expected":["win",1300],"passed":false},{"actual":["lose",0],"check":"variant scenario 1","expected":["lose",0],"passed":true},{"actual":["lose",0],"check":"variant scenario 2","expected":["lose",0],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"control two-team teaser\", \"actual\": [\"lose\", 0], \"expected\": [\"win\", 2200], \"passed\": false}, {\"check\": \"boundary push drops a leg\", \"actual\": [\"lose\", 0], \"expected\": [\"win\", 1833], \"passed\": 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