{"abstract":"A half-lost Asian leg kills the parlay, or is ignored.","category":"Betting odds conversion","checks":9,"contract":"Accumulator settlement. legs rows are [decimal price, result] with results win, lose, push, void, half-win (half the stake wins at the price, half is refunded: factor (1 + d) / 2) and half-lose (half refunded: factor 1/2). push and void legs have factor 1, win factor d, lose makes the whole bet lose. Return [combined factor rounded half up to four decimals as a string, payout in cents rounded down].","evaluation_group":"w2-odds-conversion-parlay-leg-adjustments","failed_approach":"Treating it as a push keeps the half that was lost.","family":"w2-odds-conversion-parlay-leg-adjustments-half-lose-factor","id":"FA-84476","implementations":{"attempt":{"sha256":"8bd00dc45845d744ba8a0d2a12ce1d29b9b2cbcf4b5dd552a2cb53be0afba087","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(legs, stake_cents):\n    factor = Fraction(1)\n    for price, result in legs:\n        d = Fraction(price)\n        if result == 'lose':\n            factor = Fraction(0)\n            break\n        if result == 'win':\n            factor *= d\n        elif result == 'half-win':\n            factor *= (1 + d) / 2\n        elif result == 'half-lose':\n            factor *= 1\n    q = math.floor(factor * 10000 + Fraction(1, 2))\n    return ['%d.%04d' % (q // 10000, q % 10000), math.floor(stake_cents * factor)]\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 winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['2.43', 'half-lose'], ['2.66', 'half-lose'], ['1.80', 'win'], ['2.80', 'void']], 250),\n   ['0.4500', 112]),\n  ('variant scenario 1', ([['2.93', 'void'], ['1.52', 'half-win']], 100), ['1.2600', 126]),\n  ('variant scenario 2',\n   ([['2.95', 'win'], ['1.34', 'win'], ['2.38', 'lose'], ['2.73', 'win']], 1000),\n   ['0.0000', 0])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['3.95', 'win'], ['2.15', 'half-lose'], ['2.45', 'half-lose']], 333),\n   ['0.9875', 328]),\n  ('variant scenario 1',\n   ([['2.16', 'lose'], ['2.15', 'void'], ['2.36', 'half-win'], ['2.29', 'win']], 1000),\n   ['0.0000', 0]),\n  ('variant scenario 2', ([['1.39', 'void'], ['1.88', 'win']], 1000), ['1.8800', 1880])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['3.23', 'void'], ['1.78', 'half-lose'], ['1.60', 'win'], ['3.77', 'win']], 1999),\n   ['3.0160', 6028]),\n  ('variant scenario 1',\n   ([['2.85', 'lose'], ['2.07', 'half-lose'], ['3.95', 'push'], ['2.78', 'void'], ['2.40', 'void']],\n    250),\n   ['0.0000', 0]),\n  ('variant scenario 2',\n   ([['3.61', 'lose'],\n     ['3.42', 'half-lose'],\n     ['2.22', 'half-win'],\n     ['2.00', 'win'],\n     ['3.00', 'win']],\n    100),\n   ['0.0000', 0])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['1.55', 'half-lose'], ['2.82', 'push'], ['2.89', 'half-win']], 1999),\n   ['0.9725', 1944]),\n  ('variant scenario 1',\n   ([['2.72', 'half-win'],\n     ['2.70', 'push'],\n     ['3.02', 'lose'],\n     ['1.59', 'half-lose'],\n     ['1.30', 'half-lose']],\n    250),\n   ['0.0000', 0]),\n  ('variant scenario 2',\n   ([['3.97', 'lose'],\n     ['2.37', 'half-lose'],\n     ['3.46', 'half-win'],\n     ['1.36', 'win'],\n     ['2.04', 'half-lose']],\n    1999),\n   ['0.0000', 0])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['3.21', 'half-win'], ['2.12', 'win'], ['1.45', 'half-lose']], 333),\n   ['2.2313', 743]),\n  ('variant scenario 1',\n   ([['3.09', 'half-lose'], ['2.98', 'lose'], ['3.93', 'win'], ['1.31', 'win'], ['1.54', 'win']],\n    1000),\n   ['0.0000', 0]),\n  ('variant scenario 2', ([['2.51', 'win'], ['1.25', 'lose']], 333), ['0.0000', 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":"0d9b71788abd76d0237cb597eb83bfef2dfab69006c452b61adf7d4d33fe1c60","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(legs, stake_cents):\n    factor = Fraction(1)\n    for price, result in legs:\n        d = Fraction(price)\n        if result == 'lose':\n            factor = Fraction(0)\n            break\n        if result == 'win':\n            factor *= d\n        elif result == 'half-win':\n            factor *= (1 + d) / 2\n        elif result == 'half-lose':\n            factor *= 0\n    q = math.floor(factor * 10000 + Fraction(1, 2))\n    return ['%d.%04d' % (q // 10000, q % 10000), math.floor(stake_cents * factor)]\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 winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['2.43', 'half-lose'], ['2.66', 'half-lose'], ['1.80', 'win'], ['2.80', 'void']], 250),\n   ['0.4500', 112]),\n  ('variant scenario 1', ([['2.93', 'void'], ['1.52', 'half-win']], 100), ['1.2600', 126]),\n  ('variant scenario 2',\n   ([['2.95', 'win'], ['1.34', 'win'], ['2.38', 'lose'], ['2.73', 'win']], 1000),\n   ['0.0000', 0])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['3.95', 'win'], ['2.15', 'half-lose'], ['2.45', 'half-lose']], 333),\n   ['0.9875', 328]),\n  ('variant scenario 1',\n   ([['2.16', 'lose'], ['2.15', 'void'], ['2.36', 'half-win'], ['2.29', 'win']], 1000),\n   ['0.0000', 0]),\n  ('variant scenario 2', ([['1.39', 'void'], ['1.88', 'win']], 1000), ['1.8800', 1880])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['3.23', 'void'], ['1.78', 'half-lose'], ['1.60', 'win'], ['3.77', 'win']], 1999),\n   ['3.0160', 6028]),\n  ('variant scenario 1',\n   ([['2.85', 'lose'], ['2.07', 'half-lose'], ['3.95', 'push'], ['2.78', 'void'], ['2.40', 'void']],\n    250),\n   ['0.0000', 0]),\n  ('variant scenario 2',\n   ([['3.61', 'lose'],\n     ['3.42', 'half-lose'],\n     ['2.22', 'half-win'],\n     ['2.00', 'win'],\n     ['3.00', 'win']],\n    100),\n   ['0.0000', 0])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['1.55', 'half-lose'], ['2.82', 'push'], ['2.89', 'half-win']], 1999),\n   ['0.9725', 1944]),\n  ('variant scenario 1',\n   ([['2.72', 'half-win'],\n     ['2.70', 'push'],\n     ['3.02', 'lose'],\n     ['1.59', 'half-lose'],\n     ['1.30', 'half-lose']],\n    250),\n   ['0.0000', 0]),\n  ('variant scenario 2',\n   ([['3.97', 'lose'],\n     ['2.37', 'half-lose'],\n     ['3.46', 'half-win'],\n     ['1.36', 'win'],\n     ['2.04', 'half-lose']],\n    1999),\n   ['0.0000', 0])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['3.21', 'half-win'], ['2.12', 'win'], ['1.45', 'half-lose']], 333),\n   ['2.2313', 743]),\n  ('variant scenario 1',\n   ([['3.09', 'half-lose'], ['2.98', 'lose'], ['3.93', 'win'], ['1.31', 'win'], ['1.54', 'win']],\n    1000),\n   ['0.0000', 0]),\n  ('variant scenario 2', ([['2.51', 'win'], ['1.25', 'lose']], 333), ['0.0000', 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":"e40d52cdb13944287cf77657337bd0ae2fb090cffad73276135af331947c6f37","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(legs, stake_cents):\n    factor = Fraction(1)\n    for price, result in legs:\n        d = Fraction(price)\n        if result == 'lose':\n            factor = Fraction(0)\n            break\n        if result == 'win':\n            factor *= d\n        elif result == 'half-win':\n            factor *= (1 + d) / 2\n        elif result == 'half-lose':\n            factor *= Fraction(1, 2)\n    q = math.floor(factor * 10000 + Fraction(1, 2))\n    return ['%d.%04d' % (q // 10000, q % 10000), math.floor(stake_cents * factor)]\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 winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['2.43', 'half-lose'], ['2.66', 'half-lose'], ['1.80', 'win'], ['2.80', 'void']], 250),\n   ['0.4500', 112]),\n  ('variant scenario 1', ([['2.93', 'void'], ['1.52', 'half-win']], 100), ['1.2600', 126]),\n  ('variant scenario 2',\n   ([['2.95', 'win'], ['1.34', 'win'], ['2.38', 'lose'], ['2.73', 'win']], 1000),\n   ['0.0000', 0])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['3.95', 'win'], ['2.15', 'half-lose'], ['2.45', 'half-lose']], 333),\n   ['0.9875', 328]),\n  ('variant scenario 1',\n   ([['2.16', 'lose'], ['2.15', 'void'], ['2.36', 'half-win'], ['2.29', 'win']], 1000),\n   ['0.0000', 0]),\n  ('variant scenario 2', ([['1.39', 'void'], ['1.88', 'win']], 1000), ['1.8800', 1880])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['3.23', 'void'], ['1.78', 'half-lose'], ['1.60', 'win'], ['3.77', 'win']], 1999),\n   ['3.0160', 6028]),\n  ('variant scenario 1',\n   ([['2.85', 'lose'], ['2.07', 'half-lose'], ['3.95', 'push'], ['2.78', 'void'], ['2.40', 'void']],\n    250),\n   ['0.0000', 0]),\n  ('variant scenario 2',\n   ([['3.61', 'lose'],\n     ['3.42', 'half-lose'],\n     ['2.22', 'half-win'],\n     ['2.00', 'win'],\n     ['3.00', 'win']],\n    100),\n   ['0.0000', 0])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['1.55', 'half-lose'], ['2.82', 'push'], ['2.89', 'half-win']], 1999),\n   ['0.9725', 1944]),\n  ('variant scenario 1',\n   ([['2.72', 'half-win'],\n     ['2.70', 'push'],\n     ['3.02', 'lose'],\n     ['1.59', 'half-lose'],\n     ['1.30', 'half-lose']],\n    250),\n   ['0.0000', 0]),\n  ('variant scenario 2',\n   ([['3.97', 'lose'],\n     ['2.37', 'half-lose'],\n     ['3.46', 'half-win'],\n     ['1.36', 'win'],\n     ['2.04', 'half-lose']],\n    1999),\n   ['0.0000', 0])],\n [('control two winners', ([['2.00', 'win'], ['1.50', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary pushed leg', ([['2.00', 'win'], ['1.90', 'push']], 1000), ['2.0000', 2000]),\n  ('boundary half-win leg', ([['2.00', 'half-win'], ['2.00', 'win']], 1000), ['3.0000', 3000]),\n  ('boundary half-lose leg', ([['2.00', 'half-lose'], ['3.00', 'win']], 1000), ['1.5000', 1500]),\n  ('control losing leg', ([['2.00', 'win'], ['1.50', 'lose']], 1000), ['0.0000', 0]),\n  ('control payout rounds down', ([['1.33', 'win']], 333), ['1.3300', 442]),\n  ('regression: half lose factor',\n   ([['3.21', 'half-win'], ['2.12', 'win'], ['1.45', 'half-lose']], 333),\n   ['2.2313', 743]),\n  ('variant scenario 1',\n   ([['3.09', 'half-lose'], ['2.98', 'lose'], ['3.93', 'win'], ['1.31', 'win'], ['1.54', 'win']],\n    1000),\n   ['0.0000', 0]),\n  ('variant scenario 2', ([['2.51', 'win'], ['1.25', 'lose']], 333), ['0.0000', 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-parlay-leg-adjustments-half-lose-factor","generated_at":"2026-09-29T14:50:31.204759+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Settlement engines must collapse pushed, voided and Asian half results inside multiples.","repair":"Use a factor of 1/2 for half-lose legs.","root_cause":"The half-lose leg is treated as a full loss.","sha256":"14cabbd43ca1461b8e723b16f794d250f691e5ee140c0cc76cb1a98afe259769","title":"Half-lose leg settled as a loss or a push · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":43.812,"exit_code":1,"observations":[{"actual":["3.0000",3000],"check":"control two winners","expected":["3.0000",3000],"passed":true},{"actual":["2.0000",2000],"check":"boundary pushed leg","expected":["2.0000",2000],"passed":true},{"actual":["3.0000",3000],"check":"boundary half-win leg","expected":["3.0000",3000],"passed":true},{"actual":["3.0000",3000],"check":"boundary half-lose leg","expected":["1.5000",1500],"passed":false},{"actual":["0.0000",0],"check":"control losing leg","expected":["0.0000",0],"passed":true},{"actual":["1.3300",442],"check":"control payout rounds down","expected":["1.3300",442],"passed":true},{"actual":["1.8000",450],"check":"regression: half lose factor","expected":["0.4500",112],"passed":false},{"actual":["1.2600",126],"check":"variant scenario 1","expected":["1.2600",126],"passed":true},{"actual":["0.0000",0],"check":"variant scenario 2","expected":["0.0000",0],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"control two winners\", \"actual\": [\"3.0000\", 3000], \"expected\": [\"3.0000\", 3000], \"passed\": true}, {\"check\": \"boundary pushed leg\", \"actual\": [\"2.0000\", 2000], \"expected\": [\"2.0000\", 2000], \"passed\": true}, {\"check\": \"boundary half-win leg\", \"actual\": [\"3.0000\", 3000], \"expected\": [\"3.0000\", 3000], \"passed\": true}, {\"check\": \"boundary half-lose leg\", \"actual\": [\"3.0000\", 3000], \"expected\": [\"1.5000\", 1500], \"passed\": false}, {\"check\": \"control losing leg\", \"actual\": [\"0.0000\", 0], \"expected\": [\"0.0000\", 0], \"passed\": true}, {\"check\": \"control payout rounds down\", \"actual\": [\"1.3300\", 442], \"expected\": [\"1.3300\", 442], \"passed\": true}, {\"check\": \"regression: half lose factor\", \"actual\": [\"1.8000\", 450], \"expected\": [\"0.4500\", 112], \"passed\": false}, {\"check\": \"variant scenario 1\", \"actual\": [\"1.2600\", 126], \"expected\": [\"1.2600\", 126], \"passed\": true}, {\"check\": \"variant scenario 2\", \"actual\": [\"0.0000\", 0], \"expected\": [\"0.0000\", 0], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":43.94,"exit_code":1,"observations":[{"actual":["3.0000",3000],"check":"control two winners","expected":["3.0000",3000],"passed":true},{"actual":["2.0000",2000],"check":"boundary pushed leg","expected":["2.0000",2000],"passed":true},{"actual":["3.0000",3000],"check":"boundary half-win leg","expected":["3.0000",3000],"passed":true},{"actual":["0.0000",0],"check":"boundary half-lose leg","expected":["1.5000",1500],"passed":false},{"actual":["0.0000",0],"check":"control losing leg","expected":["0.0000",0],"passed":true},{"actual":["1.3300",442],"check":"control payout rounds down","expected":["1.3300",442],"passed":true},{"actual":["0.0000",0],"check":"regression: half lose factor","expected":["0.4500",112],"passed":false},{"actual":["1.2600",126],"check":"variant scenario 1","expected":["1.2600",126],"passed":true},{"actual":["0.0000",0],"check":"variant scenario 2","expected":["0.0000",0],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"control two winners\", \"actual\": [\"3.0000\", 3000], \"expected\": [\"3.0000\", 3000], \"passed\": true}, {\"check\": \"boundary pushed leg\", \"actual\": [\"2.0000\", 2000], \"expected\": [\"2.0000\", 2000], \"passed\": true}, {\"check\": \"boundary half-win leg\", \"actual\": [\"3.0000\", 3000], \"expected\": [\"3.0000\", 3000], \"passed\": true}, {\"check\": \"boundary half-lose leg\", \"actual\": [\"0.0000\", 0], \"expected\": [\"1.5000\", 1500], \"passed\": false}, {\"check\": \"control losing leg\", \"actual\": [\"0.0000\", 0], \"expected\": [\"0.0000\", 0], \"passed\": true}, {\"check\": \"control payout rounds down\", \"actual\": [\"1.3300\", 442], \"expected\": [\"1.3300\", 442], \"passed\": true}, {\"check\": \"regression: half lose factor\", \"actual\": [\"0.0000\", 0], \"expected\": [\"0.4500\", 112], \"passed\": false}, {\"check\": \"variant scenario 1\", \"actual\": [\"1.2600\", 126], \"expected\": [\"1.2600\", 126], \"passed\": true}, {\"check\": \"variant scenario 2\", \"actual\": [\"0.0000\", 0], \"expected\": [\"0.0000\", 0], \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":43.879,"exit_code":0,"observations":[{"actual":["3.0000",3000],"check":"control two winners","expected":["3.0000",3000],"passed":true},{"actual":["2.0000",2000],"check":"boundary pushed leg","expected":["2.0000",2000],"passed":true},{"actual":["3.0000",3000],"check":"boundary half-win leg","expected":["3.0000",3000],"passed":true},{"actual":["1.5000",1500],"check":"boundary half-lose leg","expected":["1.5000",1500],"passed":true},{"actual":["0.0000",0],"check":"control losing leg","expected":["0.0000",0],"passed":true},{"actual":["1.3300",442],"check":"control payout rounds down","expected":["1.3300",442],"passed":true},{"actual":["0.4500",112],"check":"regression: half lose factor","expected":["0.4500",112],"passed":true},{"actual":["1.2600",126],"check":"variant scenario 1","expected":["1.2600",126],"passed":true},{"actual":["0.0000",0],"check":"variant scenario 2","expected":["0.0000",0],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"control two winners\", \"actual\": [\"3.0000\", 3000], \"expected\": [\"3.0000\", 3000], \"passed\": true}, {\"check\": \"boundary pushed leg\", \"actual\": [\"2.0000\", 2000], \"expected\": [\"2.0000\", 2000], \"passed\": true}, {\"check\": \"boundary half-win leg\", \"actual\": [\"3.0000\", 3000], \"expected\": [\"3.0000\", 3000], \"passed\": true}, {\"check\": \"boundary half-lose leg\", \"actual\": [\"1.5000\", 1500], \"expected\": [\"1.5000\", 1500], \"passed\": true}, {\"check\": \"control losing leg\", \"actual\": [\"0.0000\", 0], \"expected\": [\"0.0000\", 0], \"passed\": true}, {\"check\": \"control payout rounds down\", \"actual\": [\"1.3300\", 442], \"expected\": [\"1.3300\", 442], \"passed\": true}, {\"check\": \"regression: half lose factor\", \"actual\": [\"0.4500\", 112], \"expected\": [\"0.4500\", 112], \"passed\": true}, {\"check\": \"variant scenario 1\", \"actual\": [\"1.2600\", 126], \"expected\": [\"1.2600\", 126], \"passed\": true}, {\"check\": \"variant scenario 2\", \"actual\": [\"0.0000\", 0], \"expected\": [\"0.0000\", 0], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}