FA-84991 / Fantasy sports scoring / Open access
Later-day correction overwritten by earlier-day correction · case 01
A Tuesday correction with sequence 0 is overridden by Monday's sequence 2.
ROOT CAUSE
Corrections are ordered by a sequence number that restarts every day.
THE FAILURE
Corrections are ordered by a sequence number that restarts every day.
Unsuccessful approach: Making sequence the primary key still lets per-day counters outrank time.
Case contract
Corrections are [timestamp seconds, per-day sequence, stat, corrected absolute value]. Apply corrections whose UTC day (timestamp // 86400) is on or before the deadline day, ordered by timestamp then sequence; each replaces the stat value (a later correction wins, a stat missing from the base line is added). Points are the weighted sum over the weight table using corrected stats. Return stats, points and the count of corrections applied.
Why this case matters
Official stat corrections change settled fantasy results days later; their ordering and cutoff rules must be exact.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(base, corrections, deadline, weights):
stats = dict(base)
applied = 0
for ts, seq, stat, value in sorted(corrections, key=lambda c: c[1]):
if ts // 86400 > deadline:
continue
stats[stat] = value
applied += 1
pts = sum(weights[s] * stats.get(s, 0) for s in sorted(weights))
return {'stats': stats, 'points': pts, 'applied': applied}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: ordering by per-day sequence',
[{'rec': 1, 'rush_yds': 48},
[[262800, 0, 'td', 16], [262800, 1, 'td', 104], [262800, 3, 'rush_yds', 17], [345599, 0, 'td', 83],
[262800, 0, 'rush_yds', 112]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 5002, 'stats': {'rec': 1, 'rush_yds': 17, 'td': 83}}),
('partial repair probe: ordering by per-day sequence',
[{'rec': 7, 'rush_yds': 62},
[[259201, 3, 'rush_yds', 37], [262800, 3, 'rec', 64], [332124, 2, 'rec', 65],
[345599, 1, 'rush_yds', 91]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 416, 'stats': {'rec': 65, 'rush_yds': 91}}),
('second regression',
[{'rec': 8, 'rush_yds': 65, 'td': 0},
[[404733, 0, 'rec', 94], [361680, 3, 'rec', 1], [262800, 1, 'rec', 30]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 535, 'stats': {'rec': 94, 'rush_yds': 65, 'td': 0}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 61, 'td': 2},
[[349200, 2, 'rush_yds', 98], [349200, 3, 'rush_yds', 34], [286902, 1, 'rush_yds', 33],
[345601, 1, 'rec', 85], [353444, 1, 'td', 18]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 1539, 'stats': {'rec': 85, 'rush_yds': 34, 'td': 18}}),
('normal control 2',
[{'rec': 1, 'rush_yds': 109, 'td': 0},
[[176400, 3, 'rec', 59], [345600, 0, 'rush_yds', 47], [172800, 0, 'td', 3], [184833, 3, 'td', 8]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 884, 'stats': {'rec': 59, 'rush_yds': 109, 'td': 8}}),
('normal control 3',
[{'rec': 1, 'rush_yds': 113, 'td': 1},
[[345601, 3, 'rush_yds', 106], [432001, 1, 'rush_yds', 108], [431999, 1, 'td', 18],
[432000, 0, 'rush_yds', 19], [345599, 2, 'rec', 25]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 1311, 'stats': {'rec': 25, 'rush_yds': 106, 'td': 18}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 36, 'td': 0}, [[522000, 3, 'rec', 11]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 36, 'stats': {'rec': 0, 'rush_yds': 36, 'td': 0}})],
[('regression: ordering by per-day sequence',
[{'rec': 8, 'rush_yds': 92, 'td': 2},
[[259201, 0, 'rush_yds', 93], [259200, 1, 'rush_yds', 71], [259200, 2, 'td', 68], [431999, 1, 'td', 95]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 5833, 'stats': {'rec': 8, 'rush_yds': 93, 'td': 95}}),
('partial repair probe: ordering by per-day sequence',
[{'rec': 0, 'rush_yds': 12, 'td': 0},
[[262800, 3, 'rec', 90], [432001, 0, 'rec', 41], [349200, 2, 'rec', 83], [259201, 0, 'rush_yds', 26],
[337939, 3, 'rush_yds', 72]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 487, 'stats': {'rec': 83, 'rush_yds': 72, 'td': 0}}),
('second regression',
[{'rec': 4, 'rush_yds': 84, 'td': 2},
[[267442, 3, 'rec', 80], [518399, 1, 'td', 57], [259201, 3, 'rec', 5], [496069, 2, 'td', 87],
[481126, 1, 'rec', 92]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 604, 'stats': {'rec': 80, 'rush_yds': 84, 'td': 2}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 85},
[[518399, 3, 'td', 22], [312423, 2, 'rec', 67], [389726, 3, 'td', 50], [345599, 0, 'rush_yds', 86]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 3421, 'stats': {'rec': 67, 'rush_yds': 86, 'td': 50}}),
('normal control 2',
[{'rec': 3, 'rush_yds': 25}, [[345601, 1, 'td', 20], [455741, 3, 'rec', 27]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1360, 'stats': {'rec': 27, 'rush_yds': 25, 'td': 20}}),
('normal control 3',
[{'rec': 7, 'rush_yds': 66}, [[345600, 2, 'td', 4]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 341, 'stats': {'rec': 7, 'rush_yds': 66, 'td': 4}}),
('normal control 4',
[{'rec': 6, 'rush_yds': 67, 'td': 0}, [[345600, 0, 'td', 14]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 937, 'stats': {'rec': 6, 'rush_yds': 67, 'td': 14}})],
[('regression: ordering by per-day sequence',
[{'rec': 5, 'rush_yds': 21, 'td': 0},
[[345600, 1, 'rush_yds', 23], [435600, 2, 'rush_yds', 25], [431999, 2, 'rush_yds', 82],
[432001, 2, 'rush_yds', 72]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 50, 'stats': {'rec': 5, 'rush_yds': 25, 'td': 0}}),
('partial repair probe: ordering by per-day sequence',
[{'rec': 5, 'rush_yds': 23, 'td': 1},
[[518399, 1, 'td', 50], [421461, 3, 'td', 3], [432001, 0, 'rec', 110], [349200, 0, 'rec', 13]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 3573, 'stats': {'rec': 110, 'rush_yds': 23, 'td': 50}}),
('second regression',
[{'rec': 3, 'rush_yds': 10},
[[522000, 1, 'rec', 77], [435600, 0, 'rush_yds', 52], [518401, 3, 'rec', 49], [432000, 2, 'rush_yds', 4],
[604799, 1, 'td', 12]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 67, 'stats': {'rec': 3, 'rush_yds': 52}}),
('normal control 1',
[{'rec': 4, 'rush_yds': 87},
[[432000, 2, 'td', 10], [506896, 1, 'rec', 116], [349531, 3, 'rush_yds', 65], [510444, 2, 'td', 15],
[522000, 1, 'rec', 21]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 1545, 'stats': {'rec': 116, 'rush_yds': 65, 'td': 15}}),
('normal control 2',
[{'rec': 2, 'rush_yds': 36}, [[455938, 2, 'td', 96], [314193, 0, 'rush_yds', 7]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 17, 'stats': {'rec': 2, 'rush_yds': 7}}),
('normal control 3',
[{'rec': 2, 'rush_yds': 117}, [[380783, 3, 'td', 74], [259200, 1, 'rec', 75]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 492, 'stats': {'rec': 75, 'rush_yds': 117}}),
('normal control 4',
[{'rec': 1, 'rush_yds': 61, 'td': 0}, [[431999, 1, 'rec', 82]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 471, 'stats': {'rec': 82, 'rush_yds': 61, 'td': 0}})],
[('regression: ordering by per-day sequence',
[{'rec': 6, 'rush_yds': 3}, [[259200, 0, 'rec', 114], [345601, 0, 'rec', 31], [172801, 0, 'rec', 63]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 573, 'stats': {'rec': 114, 'rush_yds': 3}}),
('partial repair probe: ordering by per-day sequence',
[{'rec': 8, 'rush_yds': 51, 'td': 2},
[[435600, 0, 'rush_yds', 118], [432000, 2, 'rush_yds', 100], [518399, 1, 'td', 96],
[432001, 2, 'rec', 17], [345601, 3, 'rush_yds', 34]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 5963, 'stats': {'rec': 17, 'rush_yds': 118, 'td': 96}}),
('second regression',
[{'rec': 0, 'rush_yds': 41},
[[604799, 0, 'rec', 1], [447240, 2, 'rush_yds', 9], [432001, 3, 'rush_yds', 32]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 9, 'stats': {'rec': 0, 'rush_yds': 9}}),
('normal control 1',
[{'rec': 6, 'rush_yds': 51}, [[349200, 2, 'rec', 5]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 76, 'stats': {'rec': 5, 'rush_yds': 51}}),
('normal control 2',
[{'rec': 2, 'rush_yds': 30, 'td': 0}, [[345600, 1, 'td', 6]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 400, 'stats': {'rec': 2, 'rush_yds': 30, 'td': 6}}),
('normal control 3',
[{'rec': 8, 'rush_yds': 32},
[[408772, 1, 'rec', 110], [539866, 3, 'rush_yds', 88], [604799, 2, 'rec', 69]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 582, 'stats': {'rec': 110, 'rush_yds': 32}}),
('normal control 4',
[{'rec': 5, 'rush_yds': 10}, [[229110, 1, 'td', 120], [271187, 1, 'rec', 75], [259201, 1, 'rush_yds', 81]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 7656, 'stats': {'rec': 75, 'rush_yds': 81, 'td': 120}})],
[('regression: ordering by per-day sequence',
[{'rec': 8, 'rush_yds': 21}, [[432001, 1, 'rec', 83], [432001, 3, 'rec', 13], [518399, 1, 'rec', 106]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 551, 'stats': {'rec': 106, 'rush_yds': 21}}),
('partial repair probe: ordering by per-day sequence',
[{'rec': 3, 'rush_yds': 32}, [[271219, 2, 'td', 77], [262800, 3, 'td', 74], [308677, 2, 'rush_yds', 2]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 4637, 'stats': {'rec': 3, 'rush_yds': 2, 'td': 77}}),
('second regression',
[{'rec': 7, 'rush_yds': 52, 'td': 1},
[[376011, 0, 'td', 23], [259201, 1, 'td', 85], [349200, 3, 'rush_yds', 42], [433522, 3, 'rush_yds', 48],
[345601, 2, 'rush_yds', 82]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 1457, 'stats': {'rec': 7, 'rush_yds': 42, 'td': 23}}),
('normal control 1',
[{'rec': 7, 'rush_yds': 18, 'td': 2}, [[432001, 0, 'rush_yds', 80], [439508, 0, 'rec', 62]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 510, 'stats': {'rec': 62, 'rush_yds': 80, 'td': 2}}),
('normal control 2',
[{'rec': 1, 'rush_yds': 31, 'td': 0},
[[518399, 3, 'rush_yds', 55], [582426, 3, 'rec', 56], [522000, 0, 'td', 95], [518399, 3, 'td', 89],
[518400, 3, 'rush_yds', 107]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5400, 'stats': {'rec': 1, 'rush_yds': 55, 'td': 89}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 99}, [[432001, 2, 'rush_yds', 23]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 38, 'stats': {'rec': 3, 'rush_yds': 23}}),
('normal control 4',
[{'rec': 2, 'rush_yds': 41}, [[345600, 0, 'td', 67], [259200, 3, 'rush_yds', 2]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 4032, 'stats': {'rec': 2, 'rush_yds': 2, 'td': 67}})]]
for label, args, expected in fixtures[N-1]:
check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| regression: ordering by per-day sequence | {'applied': 5, 'points': 6262, 'stats': {'rec': 1, 'rush_yds': 17, 'td': 104}} | {'applied': 5, 'points': 5002, 'stats': {'rec': 1, 'rush_yds': 17, 'td': 83}} | Failed |
| partial repair probe: ordering by per-day sequence | {'applied': 4, 'points': 357, 'stats': {'rec': 64, 'rush_yds': 37}} | {'applied': 4, 'points': 416, 'stats': {'rec': 65, 'rush_yds': 91}} | Failed |
| second regression | {'applied': 3, 'points': 70, 'stats': {'rec': 1, 'rush_yds': 65, 'td': 0}} | {'applied': 3, 'points': 535, 'stats': {'rec': 94, 'rush_yds': 65, 'td': 0}} | Failed |
| normal control 1 | {'applied': 5, 'points': 1539, 'stats': {'rec': 85, 'rush_yds': 34, 'td': 18}} | {'applied': 5, 'points': 1539, 'stats': {'rec': 85, 'rush_yds': 34, 'td': 18}} | Passed |
| normal control 2 | {'applied': 3, 'points': 884, 'stats': {'rec': 59, 'rush_yds': 109, 'td': 8}} | {'applied': 3, 'points': 884, 'stats': {'rec': 59, 'rush_yds': 109, 'td': 8}} | Passed |
| normal control 3 | {'applied': 3, 'points': 1311, 'stats': {'rec': 25, 'rush_yds': 106, 'td': 18}} | {'applied': 3, 'points': 1311, 'stats': {'rec': 25, 'rush_yds': 106, 'td': 18}} | Passed |
| normal control 4 | {'applied': 0, 'points': 36, 'stats': {'rec': 0, 'rush_yds': 36, 'td': 0}} | {'applied': 0, 'points': 36, 'stats': {'rec': 0, 'rush_yds': 36, 'td': 0}} | Passed |
SHA-256 / adce94084754d3244a105e265ab8c2bfd52e1a2a8972964d3cf0af4c104fda06
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(base, corrections, deadline, weights):
stats = dict(base)
applied = 0
for ts, seq, stat, value in sorted(corrections, key=lambda c: (c[1], c[0])):
if ts // 86400 > deadline:
continue
stats[stat] = value
applied += 1
pts = sum(weights[s] * stats.get(s, 0) for s in sorted(weights))
return {'stats': stats, 'points': pts, 'applied': applied}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: ordering by per-day sequence',
[{'rec': 1, 'rush_yds': 48},
[[262800, 0, 'td', 16], [262800, 1, 'td', 104], [262800, 3, 'rush_yds', 17], [345599, 0, 'td', 83],
[262800, 0, 'rush_yds', 112]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 5002, 'stats': {'rec': 1, 'rush_yds': 17, 'td': 83}}),
('partial repair probe: ordering by per-day sequence',
[{'rec': 7, 'rush_yds': 62},
[[259201, 3, 'rush_yds', 37], [262800, 3, 'rec', 64], [332124, 2, 'rec', 65],
[345599, 1, 'rush_yds', 91]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 416, 'stats': {'rec': 65, 'rush_yds': 91}}),
('second regression',
[{'rec': 8, 'rush_yds': 65, 'td': 0},
[[404733, 0, 'rec', 94], [361680, 3, 'rec', 1], [262800, 1, 'rec', 30]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 535, 'stats': {'rec': 94, 'rush_yds': 65, 'td': 0}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 61, 'td': 2},
[[349200, 2, 'rush_yds', 98], [349200, 3, 'rush_yds', 34], [286902, 1, 'rush_yds', 33],
[345601, 1, 'rec', 85], [353444, 1, 'td', 18]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 1539, 'stats': {'rec': 85, 'rush_yds': 34, 'td': 18}}),
('normal control 2',
[{'rec': 1, 'rush_yds': 109, 'td': 0},
[[176400, 3, 'rec', 59], [345600, 0, 'rush_yds', 47], [172800, 0, 'td', 3], [184833, 3, 'td', 8]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 884, 'stats': {'rec': 59, 'rush_yds': 109, 'td': 8}}),
('normal control 3',
[{'rec': 1, 'rush_yds': 113, 'td': 1},
[[345601, 3, 'rush_yds', 106], [432001, 1, 'rush_yds', 108], [431999, 1, 'td', 18],
[432000, 0, 'rush_yds', 19], [345599, 2, 'rec', 25]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 1311, 'stats': {'rec': 25, 'rush_yds': 106, 'td': 18}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 36, 'td': 0}, [[522000, 3, 'rec', 11]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 36, 'stats': {'rec': 0, 'rush_yds': 36, 'td': 0}})],
[('regression: ordering by per-day sequence',
[{'rec': 8, 'rush_yds': 92, 'td': 2},
[[259201, 0, 'rush_yds', 93], [259200, 1, 'rush_yds', 71], [259200, 2, 'td', 68], [431999, 1, 'td', 95]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 5833, 'stats': {'rec': 8, 'rush_yds': 93, 'td': 95}}),
('partial repair probe: ordering by per-day sequence',
[{'rec': 0, 'rush_yds': 12, 'td': 0},
[[262800, 3, 'rec', 90], [432001, 0, 'rec', 41], [349200, 2, 'rec', 83], [259201, 0, 'rush_yds', 26],
[337939, 3, 'rush_yds', 72]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 487, 'stats': {'rec': 83, 'rush_yds': 72, 'td': 0}}),
('second regression',
[{'rec': 4, 'rush_yds': 84, 'td': 2},
[[267442, 3, 'rec', 80], [518399, 1, 'td', 57], [259201, 3, 'rec', 5], [496069, 2, 'td', 87],
[481126, 1, 'rec', 92]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 604, 'stats': {'rec': 80, 'rush_yds': 84, 'td': 2}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 85},
[[518399, 3, 'td', 22], [312423, 2, 'rec', 67], [389726, 3, 'td', 50], [345599, 0, 'rush_yds', 86]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 3421, 'stats': {'rec': 67, 'rush_yds': 86, 'td': 50}}),
('normal control 2',
[{'rec': 3, 'rush_yds': 25}, [[345601, 1, 'td', 20], [455741, 3, 'rec', 27]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1360, 'stats': {'rec': 27, 'rush_yds': 25, 'td': 20}}),
('normal control 3',
[{'rec': 7, 'rush_yds': 66}, [[345600, 2, 'td', 4]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 341, 'stats': {'rec': 7, 'rush_yds': 66, 'td': 4}}),
('normal control 4',
[{'rec': 6, 'rush_yds': 67, 'td': 0}, [[345600, 0, 'td', 14]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 937, 'stats': {'rec': 6, 'rush_yds': 67, 'td': 14}})],
[('regression: ordering by per-day sequence',
[{'rec': 5, 'rush_yds': 21, 'td': 0},
[[345600, 1, 'rush_yds', 23], [435600, 2, 'rush_yds', 25], [431999, 2, 'rush_yds', 82],
[432001, 2, 'rush_yds', 72]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 50, 'stats': {'rec': 5, 'rush_yds': 25, 'td': 0}}),
('partial repair probe: ordering by per-day sequence',
[{'rec': 5, 'rush_yds': 23, 'td': 1},
[[518399, 1, 'td', 50], [421461, 3, 'td', 3], [432001, 0, 'rec', 110], [349200, 0, 'rec', 13]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 3573, 'stats': {'rec': 110, 'rush_yds': 23, 'td': 50}}),
('second regression',
[{'rec': 3, 'rush_yds': 10},
[[522000, 1, 'rec', 77], [435600, 0, 'rush_yds', 52], [518401, 3, 'rec', 49], [432000, 2, 'rush_yds', 4],
[604799, 1, 'td', 12]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 67, 'stats': {'rec': 3, 'rush_yds': 52}}),
('normal control 1',
[{'rec': 4, 'rush_yds': 87},
[[432000, 2, 'td', 10], [506896, 1, 'rec', 116], [349531, 3, 'rush_yds', 65], [510444, 2, 'td', 15],
[522000, 1, 'rec', 21]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 1545, 'stats': {'rec': 116, 'rush_yds': 65, 'td': 15}}),
('normal control 2',
[{'rec': 2, 'rush_yds': 36}, [[455938, 2, 'td', 96], [314193, 0, 'rush_yds', 7]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 17, 'stats': {'rec': 2, 'rush_yds': 7}}),
('normal control 3',
[{'rec': 2, 'rush_yds': 117}, [[380783, 3, 'td', 74], [259200, 1, 'rec', 75]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 492, 'stats': {'rec': 75, 'rush_yds': 117}}),
('normal control 4',
[{'rec': 1, 'rush_yds': 61, 'td': 0}, [[431999, 1, 'rec', 82]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 471, 'stats': {'rec': 82, 'rush_yds': 61, 'td': 0}})],
[('regression: ordering by per-day sequence',
[{'rec': 6, 'rush_yds': 3}, [[259200, 0, 'rec', 114], [345601, 0, 'rec', 31], [172801, 0, 'rec', 63]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 573, 'stats': {'rec': 114, 'rush_yds': 3}}),
('partial repair probe: ordering by per-day sequence',
[{'rec': 8, 'rush_yds': 51, 'td': 2},
[[435600, 0, 'rush_yds', 118], [432000, 2, 'rush_yds', 100], [518399, 1, 'td', 96],
[432001, 2, 'rec', 17], [345601, 3, 'rush_yds', 34]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 5963, 'stats': {'rec': 17, 'rush_yds': 118, 'td': 96}}),
('second regression',
[{'rec': 0, 'rush_yds': 41},
[[604799, 0, 'rec', 1], [447240, 2, 'rush_yds', 9], [432001, 3, 'rush_yds', 32]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 9, 'stats': {'rec': 0, 'rush_yds': 9}}),
('normal control 1',
[{'rec': 6, 'rush_yds': 51}, [[349200, 2, 'rec', 5]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 76, 'stats': {'rec': 5, 'rush_yds': 51}}),
('normal control 2',
[{'rec': 2, 'rush_yds': 30, 'td': 0}, [[345600, 1, 'td', 6]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 400, 'stats': {'rec': 2, 'rush_yds': 30, 'td': 6}}),
('normal control 3',
[{'rec': 8, 'rush_yds': 32},
[[408772, 1, 'rec', 110], [539866, 3, 'rush_yds', 88], [604799, 2, 'rec', 69]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 582, 'stats': {'rec': 110, 'rush_yds': 32}}),
('normal control 4',
[{'rec': 5, 'rush_yds': 10}, [[229110, 1, 'td', 120], [271187, 1, 'rec', 75], [259201, 1, 'rush_yds', 81]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 7656, 'stats': {'rec': 75, 'rush_yds': 81, 'td': 120}})],
[('regression: ordering by per-day sequence',
[{'rec': 8, 'rush_yds': 21}, [[432001, 1, 'rec', 83], [432001, 3, 'rec', 13], [518399, 1, 'rec', 106]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 551, 'stats': {'rec': 106, 'rush_yds': 21}}),
('partial repair probe: ordering by per-day sequence',
[{'rec': 3, 'rush_yds': 32}, [[271219, 2, 'td', 77], [262800, 3, 'td', 74], [308677, 2, 'rush_yds', 2]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 4637, 'stats': {'rec': 3, 'rush_yds': 2, 'td': 77}}),
('second regression',
[{'rec': 7, 'rush_yds': 52, 'td': 1},
[[376011, 0, 'td', 23], [259201, 1, 'td', 85], [349200, 3, 'rush_yds', 42], [433522, 3, 'rush_yds', 48],
[345601, 2, 'rush_yds', 82]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 1457, 'stats': {'rec': 7, 'rush_yds': 42, 'td': 23}}),
('normal control 1',
[{'rec': 7, 'rush_yds': 18, 'td': 2}, [[432001, 0, 'rush_yds', 80], [439508, 0, 'rec', 62]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 510, 'stats': {'rec': 62, 'rush_yds': 80, 'td': 2}}),
('normal control 2',
[{'rec': 1, 'rush_yds': 31, 'td': 0},
[[518399, 3, 'rush_yds', 55], [582426, 3, 'rec', 56], [522000, 0, 'td', 95], [518399, 3, 'td', 89],
[518400, 3, 'rush_yds', 107]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5400, 'stats': {'rec': 1, 'rush_yds': 55, 'td': 89}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 99}, [[432001, 2, 'rush_yds', 23]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 38, 'stats': {'rec': 3, 'rush_yds': 23}}),
('normal control 4',
[{'rec': 2, 'rush_yds': 41}, [[345600, 0, 'td', 67], [259200, 3, 'rush_yds', 2]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 4032, 'stats': {'rec': 2, 'rush_yds': 2, 'td': 67}})]]
for label, args, expected in fixtures[N-1]:
check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| regression: ordering by per-day sequence | {'applied': 5, 'points': 6262, 'stats': {'rec': 1, 'rush_yds': 17, 'td': 104}} | {'applied': 5, 'points': 5002, 'stats': {'rec': 1, 'rush_yds': 17, 'td': 83}} | Failed |
| partial repair probe: ordering by per-day sequence | {'applied': 4, 'points': 357, 'stats': {'rec': 64, 'rush_yds': 37}} | {'applied': 4, 'points': 416, 'stats': {'rec': 65, 'rush_yds': 91}} | Failed |
| second regression | {'applied': 3, 'points': 70, 'stats': {'rec': 1, 'rush_yds': 65, 'td': 0}} | {'applied': 3, 'points': 535, 'stats': {'rec': 94, 'rush_yds': 65, 'td': 0}} | Failed |
| normal control 1 | {'applied': 5, 'points': 1539, 'stats': {'rec': 85, 'rush_yds': 34, 'td': 18}} | {'applied': 5, 'points': 1539, 'stats': {'rec': 85, 'rush_yds': 34, 'td': 18}} | Passed |
| normal control 2 | {'applied': 3, 'points': 884, 'stats': {'rec': 59, 'rush_yds': 109, 'td': 8}} | {'applied': 3, 'points': 884, 'stats': {'rec': 59, 'rush_yds': 109, 'td': 8}} | Passed |
| normal control 3 | {'applied': 3, 'points': 1311, 'stats': {'rec': 25, 'rush_yds': 106, 'td': 18}} | {'applied': 3, 'points': 1311, 'stats': {'rec': 25, 'rush_yds': 106, 'td': 18}} | Passed |
| normal control 4 | {'applied': 0, 'points': 36, 'stats': {'rec': 0, 'rush_yds': 36, 'td': 0}} | {'applied': 0, 'points': 36, 'stats': {'rec': 0, 'rush_yds': 36, 'td': 0}} | Passed |
SHA-256 / b28ae1facb020023eeb321721e6a667dfe16a8f69d391c2a394268c20387b95d
HELD IN THE MEMBER ARCHIVE
The verified repair and its recorded checks are member-only.
This mechanism has 7 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.
Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.
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Sign in to the archive ↗Verification & scope
A deterministic toy scoring contract stipulated for this example; it is not the rulebook of any real fantasy platform. 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.
Observations recorded using Python 3.12.14 at 2026-09-29T14:50:36.344372+00:00.
Case digest / ef7686f4157dfa856e50a38209780a419ca9ee7c0e76cddb5dbea85be8f557e7