FA-84981 / Fantasy sports scoring / Open access
Absolute corrections added as deltas · case 01
A correction of rushing yards to 88 turns 85 yards into 173.
ROOT CAUSE
Correction values are added to the current value instead of replacing it.
VERIFIED REPAIR
Replace the stat with the corrected absolute value.
Unsuccessful approach: Keeping the larger value ignores downward corrections.
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[0], c[1])):
if ts // 86400 > deadline:
continue
stats[stat] = stats.get(stat, 0) + 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: absolute replacement',
[{'rec': 3, 'rush_yds': 26, 'td': 2},
[[259200, 1, 'rush_yds', 42], [431999, 3, 'rec', 103], [345600, 1, 'td', 92],
[259200, 2, 'rush_yds', 116]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 6151, 'stats': {'rec': 103, 'rush_yds': 116, 'td': 92}}),
('partial repair probe: absolute replacement',
[{'rec': 7, 'rush_yds': 95, 'td': 1}, [[431999, 0, 'rush_yds', 26], [259201, 0, 'td', 88]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5341, 'stats': {'rec': 7, 'rush_yds': 26, 'td': 88}}),
('second regression',
[{'rec': 1, 'rush_yds': 77, 'td': 0},
[[349200, 0, 'td', 20], [349200, 1, 'td', 119], [292017, 2, 'rush_yds', 68],
[430353, 1, 'rush_yds', 118]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 7263, 'stats': {'rec': 1, 'rush_yds': 118, 'td': 119}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 13}, [[435600, 0, 'td', 25]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 1523, 'stats': {'rec': 2, 'rush_yds': 13, 'td': 25}}),
('normal control 2',
[{'rec': 1, 'rush_yds': 15, 'td': 1}, [[518401, 2, 'rec', 93]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 80, 'stats': {'rec': 1, 'rush_yds': 15, 'td': 1}}),
('normal control 3',
[{'rec': 4, 'rush_yds': 97, 'td': 1}, [[345600, 1, 'rush_yds', 75]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 177, 'stats': {'rec': 4, 'rush_yds': 97, 'td': 1}}),
('normal control 4',
[{'rec': 8, 'rush_yds': 38, 'td': 2}, [[349200, 0, 'rec', 36]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 198, 'stats': {'rec': 8, 'rush_yds': 38, 'td': 2}})],
[('regression: absolute replacement',
[{'rec': 2, 'rush_yds': 117, 'td': 2},
[[176400, 2, 'rec', 41], [345600, 1, 'td', 117], [262800, 3, 'td', 21], [279149, 3, 'rec', 16],
[178188, 2, 'rush_yds', 50]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 1390, 'stats': {'rec': 16, 'rush_yds': 50, 'td': 21}}),
('partial repair probe: absolute replacement',
[{'rec': 7, 'rush_yds': 71, 'td': 1}, [[349200, 0, 'rush_yds', 6], [345601, 1, 'rush_yds', 90]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 101, 'stats': {'rec': 7, 'rush_yds': 6, 'td': 1}}),
('second regression',
[{'rec': 8, 'rush_yds': 28}, [[172800, 2, 'rec', 86], [414873, 0, 'td', 101], [262800, 1, 'td', 77]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5078, 'stats': {'rec': 86, 'rush_yds': 28, 'td': 77}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 30}, [[435600, 3, 'rec', 33]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 40, 'stats': {'rec': 2, 'rush_yds': 30}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 52, 'td': 1}, [[345601, 1, 'rec', 115]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 152, 'stats': {'rec': 8, 'rush_yds': 52, 'td': 1}}),
('normal control 3',
[{'rec': 6, 'rush_yds': 74, 'td': 0}, [[259201, 3, 'td', 14]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 944, 'stats': {'rec': 6, 'rush_yds': 74, 'td': 14}}),
('normal control 4',
[{'rec': 1, 'rush_yds': 10, 'td': 0}, [[362957, 0, 'td', 83]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 4995, 'stats': {'rec': 1, 'rush_yds': 10, 'td': 83}})],
[('regression: absolute replacement',
[{'rec': 3, 'rush_yds': 117},
[[259200, 3, 'rush_yds', 5], [349200, 3, 'rush_yds', 6], [259201, 0, 'rush_yds', 91],
[345599, 2, 'td', 29]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 1761, 'stats': {'rec': 3, 'rush_yds': 6, 'td': 29}}),
('partial repair probe: absolute replacement',
[{'rec': 7, 'rush_yds': 12},
[[345599, 3, 'rush_yds', 79], [431999, 2, 'rush_yds', 46], [345601, 3, 'rush_yds', 46],
[259200, 3, 'rush_yds', 118]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 114, 'stats': {'rec': 7, 'rush_yds': 79}}),
('second regression',
[{'rec': 1, 'rush_yds': 31}, [[345600, 1, 'rec', 60], [518399, 3, 'rush_yds', 72]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 331, 'stats': {'rec': 60, 'rush_yds': 31}}),
('normal control 1',
[{'rec': 5, 'rush_yds': 62}, [[491838, 1, 'td', 115]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 6987, 'stats': {'rec': 5, 'rush_yds': 62, 'td': 115}}),
('normal control 2',
[{'rec': 0, 'rush_yds': 94}, [[345601, 0, 'td', 12], [432001, 1, 'rec', 93]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1279, 'stats': {'rec': 93, 'rush_yds': 94, 'td': 12}}),
('normal control 3',
[{'rec': 0, 'rush_yds': 77}, [[435600, 2, 'rush_yds', 2]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 77, 'stats': {'rec': 0, 'rush_yds': 77}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 31, 'td': 0}, [[282221, 3, 'td', 41]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 2491, 'stats': {'rec': 0, 'rush_yds': 31, 'td': 41}})],
[('regression: absolute replacement',
[{'rec': 6, 'rush_yds': 36},
[[349200, 2, 'rush_yds', 49], [518401, 0, 'rush_yds', 104], [432001, 1, 'td', 96]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5839, 'stats': {'rec': 6, 'rush_yds': 49, 'td': 96}}),
('partial repair probe: absolute replacement',
[{'rec': 8, 'rush_yds': 44},
[[262800, 2, 'rec', 80], [259200, 3, 'rush_yds', 92], [345599, 2, 'rush_yds', 13],
[259199, 2, 'rec', 114]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 413, 'stats': {'rec': 80, 'rush_yds': 13}}),
('second regression',
[{'rec': 4, 'rush_yds': 66},
[[389729, 1, 'rec', 92], [345600, 2, 'rush_yds', 101], [432000, 0, 'rec', 55]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 561, 'stats': {'rec': 92, 'rush_yds': 101}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 70, 'td': 0},
[[502436, 1, 'rush_yds', 109], [449161, 0, 'td', 20], [518399, 2, 'rec', 27]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 85, 'stats': {'rec': 3, 'rush_yds': 70, 'td': 0}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 28, 'td': 2}, [[518400, 1, 'rec', 3]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 188, 'stats': {'rec': 8, 'rush_yds': 28, 'td': 2}}),
('normal control 3',
[{'rec': 0, 'rush_yds': 26},
[[345601, 1, 'td', 101], [432000, 3, 'rush_yds', 57], [518399, 2, 'rec', 114]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 6086, 'stats': {'rec': 0, 'rush_yds': 26, 'td': 101}}),
('normal control 4',
[{'rec': 6, 'rush_yds': 110, 'td': 2}, [[363142, 2, 'rush_yds', 69]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 260, 'stats': {'rec': 6, 'rush_yds': 110, 'td': 2}})],
[('regression: absolute replacement',
[{'rec': 6, 'rush_yds': 52, 'td': 0},
[[259200, 0, 'rush_yds', 15], [435600, 2, 'td', 74], [345601, 2, 'rush_yds', 10],
[345600, 0, 'rush_yds', 82]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 40, 'stats': {'rec': 6, 'rush_yds': 10, 'td': 0}}),
('partial repair probe: absolute replacement',
[{'rec': 6, 'rush_yds': 73, 'td': 2}, [[423408, 3, 'td', 73], [432000, 2, 'td', 49]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 3043, 'stats': {'rec': 6, 'rush_yds': 73, 'td': 49}}),
('second regression',
[{'rec': 3, 'rush_yds': 10}, [[435600, 1, 'td', 58], [345601, 0, 'rec', 84]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 3910, 'stats': {'rec': 84, 'rush_yds': 10, 'td': 58}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 71}, [[345601, 0, 'td', 119]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 7221, 'stats': {'rec': 2, 'rush_yds': 71, 'td': 119}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 50}, [[349200, 2, 'td', 117]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 7110, 'stats': {'rec': 8, 'rush_yds': 50, 'td': 117}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 23}, [[518401, 1, 'rec', 35]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 38, 'stats': {'rec': 3, 'rush_yds': 23}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 86}, [[259201, 1, 'rec', 5], [259199, 3, 'td', 17]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1131, 'stats': {'rec': 5, 'rush_yds': 86, 'td': 17}})]]
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: absolute replacement | {'applied': 4, 'points': 6354, 'stats': {'rec': 106, 'rush_yds': 184, 'td': 94}} | {'applied': 4, 'points': 6151, 'stats': {'rec': 103, 'rush_yds': 116, 'td': 92}} | Failed |
| partial repair probe: absolute replacement | {'applied': 2, 'points': 5496, 'stats': {'rec': 7, 'rush_yds': 121, 'td': 89}} | {'applied': 2, 'points': 5341, 'stats': {'rec': 7, 'rush_yds': 26, 'td': 88}} | Failed |
| second regression | {'applied': 4, 'points': 8608, 'stats': {'rec': 1, 'rush_yds': 263, 'td': 139}} | {'applied': 4, 'points': 7263, 'stats': {'rec': 1, 'rush_yds': 118, 'td': 119}} | Failed |
| normal control 1 | {'applied': 1, 'points': 1523, 'stats': {'rec': 2, 'rush_yds': 13, 'td': 25}} | {'applied': 1, 'points': 1523, 'stats': {'rec': 2, 'rush_yds': 13, 'td': 25}} | Passed |
| normal control 2 | {'applied': 0, 'points': 80, 'stats': {'rec': 1, 'rush_yds': 15, 'td': 1}} | {'applied': 0, 'points': 80, 'stats': {'rec': 1, 'rush_yds': 15, 'td': 1}} | Passed |
| normal control 3 | {'applied': 0, 'points': 177, 'stats': {'rec': 4, 'rush_yds': 97, 'td': 1}} | {'applied': 0, 'points': 177, 'stats': {'rec': 4, 'rush_yds': 97, 'td': 1}} | Passed |
| normal control 4 | {'applied': 0, 'points': 198, 'stats': {'rec': 8, 'rush_yds': 38, 'td': 2}} | {'applied': 0, 'points': 198, 'stats': {'rec': 8, 'rush_yds': 38, 'td': 2}} | Passed |
SHA-256 / a0ee276c428d77251e0192b915ec516837e39bf2618be46ff1980af1562e4c02
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[0], c[1])):
if ts // 86400 > deadline:
continue
stats[stat] = max(stats.get(stat, 0), 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: absolute replacement',
[{'rec': 3, 'rush_yds': 26, 'td': 2},
[[259200, 1, 'rush_yds', 42], [431999, 3, 'rec', 103], [345600, 1, 'td', 92],
[259200, 2, 'rush_yds', 116]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 6151, 'stats': {'rec': 103, 'rush_yds': 116, 'td': 92}}),
('partial repair probe: absolute replacement',
[{'rec': 7, 'rush_yds': 95, 'td': 1}, [[431999, 0, 'rush_yds', 26], [259201, 0, 'td', 88]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5341, 'stats': {'rec': 7, 'rush_yds': 26, 'td': 88}}),
('second regression',
[{'rec': 1, 'rush_yds': 77, 'td': 0},
[[349200, 0, 'td', 20], [349200, 1, 'td', 119], [292017, 2, 'rush_yds', 68],
[430353, 1, 'rush_yds', 118]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 7263, 'stats': {'rec': 1, 'rush_yds': 118, 'td': 119}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 13}, [[435600, 0, 'td', 25]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 1523, 'stats': {'rec': 2, 'rush_yds': 13, 'td': 25}}),
('normal control 2',
[{'rec': 1, 'rush_yds': 15, 'td': 1}, [[518401, 2, 'rec', 93]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 80, 'stats': {'rec': 1, 'rush_yds': 15, 'td': 1}}),
('normal control 3',
[{'rec': 4, 'rush_yds': 97, 'td': 1}, [[345600, 1, 'rush_yds', 75]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 177, 'stats': {'rec': 4, 'rush_yds': 97, 'td': 1}}),
('normal control 4',
[{'rec': 8, 'rush_yds': 38, 'td': 2}, [[349200, 0, 'rec', 36]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 198, 'stats': {'rec': 8, 'rush_yds': 38, 'td': 2}})],
[('regression: absolute replacement',
[{'rec': 2, 'rush_yds': 117, 'td': 2},
[[176400, 2, 'rec', 41], [345600, 1, 'td', 117], [262800, 3, 'td', 21], [279149, 3, 'rec', 16],
[178188, 2, 'rush_yds', 50]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 1390, 'stats': {'rec': 16, 'rush_yds': 50, 'td': 21}}),
('partial repair probe: absolute replacement',
[{'rec': 7, 'rush_yds': 71, 'td': 1}, [[349200, 0, 'rush_yds', 6], [345601, 1, 'rush_yds', 90]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 101, 'stats': {'rec': 7, 'rush_yds': 6, 'td': 1}}),
('second regression',
[{'rec': 8, 'rush_yds': 28}, [[172800, 2, 'rec', 86], [414873, 0, 'td', 101], [262800, 1, 'td', 77]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5078, 'stats': {'rec': 86, 'rush_yds': 28, 'td': 77}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 30}, [[435600, 3, 'rec', 33]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 40, 'stats': {'rec': 2, 'rush_yds': 30}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 52, 'td': 1}, [[345601, 1, 'rec', 115]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 152, 'stats': {'rec': 8, 'rush_yds': 52, 'td': 1}}),
('normal control 3',
[{'rec': 6, 'rush_yds': 74, 'td': 0}, [[259201, 3, 'td', 14]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 944, 'stats': {'rec': 6, 'rush_yds': 74, 'td': 14}}),
('normal control 4',
[{'rec': 1, 'rush_yds': 10, 'td': 0}, [[362957, 0, 'td', 83]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 4995, 'stats': {'rec': 1, 'rush_yds': 10, 'td': 83}})],
[('regression: absolute replacement',
[{'rec': 3, 'rush_yds': 117},
[[259200, 3, 'rush_yds', 5], [349200, 3, 'rush_yds', 6], [259201, 0, 'rush_yds', 91],
[345599, 2, 'td', 29]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 1761, 'stats': {'rec': 3, 'rush_yds': 6, 'td': 29}}),
('partial repair probe: absolute replacement',
[{'rec': 7, 'rush_yds': 12},
[[345599, 3, 'rush_yds', 79], [431999, 2, 'rush_yds', 46], [345601, 3, 'rush_yds', 46],
[259200, 3, 'rush_yds', 118]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 114, 'stats': {'rec': 7, 'rush_yds': 79}}),
('second regression',
[{'rec': 1, 'rush_yds': 31}, [[345600, 1, 'rec', 60], [518399, 3, 'rush_yds', 72]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 331, 'stats': {'rec': 60, 'rush_yds': 31}}),
('normal control 1',
[{'rec': 5, 'rush_yds': 62}, [[491838, 1, 'td', 115]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 6987, 'stats': {'rec': 5, 'rush_yds': 62, 'td': 115}}),
('normal control 2',
[{'rec': 0, 'rush_yds': 94}, [[345601, 0, 'td', 12], [432001, 1, 'rec', 93]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1279, 'stats': {'rec': 93, 'rush_yds': 94, 'td': 12}}),
('normal control 3',
[{'rec': 0, 'rush_yds': 77}, [[435600, 2, 'rush_yds', 2]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 77, 'stats': {'rec': 0, 'rush_yds': 77}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 31, 'td': 0}, [[282221, 3, 'td', 41]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 2491, 'stats': {'rec': 0, 'rush_yds': 31, 'td': 41}})],
[('regression: absolute replacement',
[{'rec': 6, 'rush_yds': 36},
[[349200, 2, 'rush_yds', 49], [518401, 0, 'rush_yds', 104], [432001, 1, 'td', 96]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5839, 'stats': {'rec': 6, 'rush_yds': 49, 'td': 96}}),
('partial repair probe: absolute replacement',
[{'rec': 8, 'rush_yds': 44},
[[262800, 2, 'rec', 80], [259200, 3, 'rush_yds', 92], [345599, 2, 'rush_yds', 13],
[259199, 2, 'rec', 114]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 413, 'stats': {'rec': 80, 'rush_yds': 13}}),
('second regression',
[{'rec': 4, 'rush_yds': 66},
[[389729, 1, 'rec', 92], [345600, 2, 'rush_yds', 101], [432000, 0, 'rec', 55]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 561, 'stats': {'rec': 92, 'rush_yds': 101}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 70, 'td': 0},
[[502436, 1, 'rush_yds', 109], [449161, 0, 'td', 20], [518399, 2, 'rec', 27]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 85, 'stats': {'rec': 3, 'rush_yds': 70, 'td': 0}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 28, 'td': 2}, [[518400, 1, 'rec', 3]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 188, 'stats': {'rec': 8, 'rush_yds': 28, 'td': 2}}),
('normal control 3',
[{'rec': 0, 'rush_yds': 26},
[[345601, 1, 'td', 101], [432000, 3, 'rush_yds', 57], [518399, 2, 'rec', 114]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 6086, 'stats': {'rec': 0, 'rush_yds': 26, 'td': 101}}),
('normal control 4',
[{'rec': 6, 'rush_yds': 110, 'td': 2}, [[363142, 2, 'rush_yds', 69]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 260, 'stats': {'rec': 6, 'rush_yds': 110, 'td': 2}})],
[('regression: absolute replacement',
[{'rec': 6, 'rush_yds': 52, 'td': 0},
[[259200, 0, 'rush_yds', 15], [435600, 2, 'td', 74], [345601, 2, 'rush_yds', 10],
[345600, 0, 'rush_yds', 82]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 40, 'stats': {'rec': 6, 'rush_yds': 10, 'td': 0}}),
('partial repair probe: absolute replacement',
[{'rec': 6, 'rush_yds': 73, 'td': 2}, [[423408, 3, 'td', 73], [432000, 2, 'td', 49]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 3043, 'stats': {'rec': 6, 'rush_yds': 73, 'td': 49}}),
('second regression',
[{'rec': 3, 'rush_yds': 10}, [[435600, 1, 'td', 58], [345601, 0, 'rec', 84]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 3910, 'stats': {'rec': 84, 'rush_yds': 10, 'td': 58}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 71}, [[345601, 0, 'td', 119]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 7221, 'stats': {'rec': 2, 'rush_yds': 71, 'td': 119}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 50}, [[349200, 2, 'td', 117]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 7110, 'stats': {'rec': 8, 'rush_yds': 50, 'td': 117}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 23}, [[518401, 1, 'rec', 35]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 38, 'stats': {'rec': 3, 'rush_yds': 23}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 86}, [[259201, 1, 'rec', 5], [259199, 3, 'td', 17]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1131, 'stats': {'rec': 5, 'rush_yds': 86, 'td': 17}})]]
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: absolute replacement | {'applied': 4, 'points': 6151, 'stats': {'rec': 103, 'rush_yds': 116, 'td': 92}} | {'applied': 4, 'points': 6151, 'stats': {'rec': 103, 'rush_yds': 116, 'td': 92}} | Passed |
| partial repair probe: absolute replacement | {'applied': 2, 'points': 5410, 'stats': {'rec': 7, 'rush_yds': 95, 'td': 88}} | {'applied': 2, 'points': 5341, 'stats': {'rec': 7, 'rush_yds': 26, 'td': 88}} | Failed |
| second regression | {'applied': 4, 'points': 7263, 'stats': {'rec': 1, 'rush_yds': 118, 'td': 119}} | {'applied': 4, 'points': 7263, 'stats': {'rec': 1, 'rush_yds': 118, 'td': 119}} | Passed |
| normal control 1 | {'applied': 1, 'points': 1523, 'stats': {'rec': 2, 'rush_yds': 13, 'td': 25}} | {'applied': 1, 'points': 1523, 'stats': {'rec': 2, 'rush_yds': 13, 'td': 25}} | Passed |
| normal control 2 | {'applied': 0, 'points': 80, 'stats': {'rec': 1, 'rush_yds': 15, 'td': 1}} | {'applied': 0, 'points': 80, 'stats': {'rec': 1, 'rush_yds': 15, 'td': 1}} | Passed |
| normal control 3 | {'applied': 0, 'points': 177, 'stats': {'rec': 4, 'rush_yds': 97, 'td': 1}} | {'applied': 0, 'points': 177, 'stats': {'rec': 4, 'rush_yds': 97, 'td': 1}} | Passed |
| normal control 4 | {'applied': 0, 'points': 198, 'stats': {'rec': 8, 'rush_yds': 38, 'td': 2}} | {'applied': 0, 'points': 198, 'stats': {'rec': 8, 'rush_yds': 38, 'td': 2}} | Passed |
SHA-256 / 4514742153439995174cc4fa422d0f4d50cdb093b0d7437bd2beeeb15d839184
3 / The verified repair
Exit 0"""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[0], 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: absolute replacement',
[{'rec': 3, 'rush_yds': 26, 'td': 2},
[[259200, 1, 'rush_yds', 42], [431999, 3, 'rec', 103], [345600, 1, 'td', 92],
[259200, 2, 'rush_yds', 116]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 6151, 'stats': {'rec': 103, 'rush_yds': 116, 'td': 92}}),
('partial repair probe: absolute replacement',
[{'rec': 7, 'rush_yds': 95, 'td': 1}, [[431999, 0, 'rush_yds', 26], [259201, 0, 'td', 88]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5341, 'stats': {'rec': 7, 'rush_yds': 26, 'td': 88}}),
('second regression',
[{'rec': 1, 'rush_yds': 77, 'td': 0},
[[349200, 0, 'td', 20], [349200, 1, 'td', 119], [292017, 2, 'rush_yds', 68],
[430353, 1, 'rush_yds', 118]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 7263, 'stats': {'rec': 1, 'rush_yds': 118, 'td': 119}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 13}, [[435600, 0, 'td', 25]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 1523, 'stats': {'rec': 2, 'rush_yds': 13, 'td': 25}}),
('normal control 2',
[{'rec': 1, 'rush_yds': 15, 'td': 1}, [[518401, 2, 'rec', 93]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 80, 'stats': {'rec': 1, 'rush_yds': 15, 'td': 1}}),
('normal control 3',
[{'rec': 4, 'rush_yds': 97, 'td': 1}, [[345600, 1, 'rush_yds', 75]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 177, 'stats': {'rec': 4, 'rush_yds': 97, 'td': 1}}),
('normal control 4',
[{'rec': 8, 'rush_yds': 38, 'td': 2}, [[349200, 0, 'rec', 36]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 198, 'stats': {'rec': 8, 'rush_yds': 38, 'td': 2}})],
[('regression: absolute replacement',
[{'rec': 2, 'rush_yds': 117, 'td': 2},
[[176400, 2, 'rec', 41], [345600, 1, 'td', 117], [262800, 3, 'td', 21], [279149, 3, 'rec', 16],
[178188, 2, 'rush_yds', 50]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 1390, 'stats': {'rec': 16, 'rush_yds': 50, 'td': 21}}),
('partial repair probe: absolute replacement',
[{'rec': 7, 'rush_yds': 71, 'td': 1}, [[349200, 0, 'rush_yds', 6], [345601, 1, 'rush_yds', 90]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 101, 'stats': {'rec': 7, 'rush_yds': 6, 'td': 1}}),
('second regression',
[{'rec': 8, 'rush_yds': 28}, [[172800, 2, 'rec', 86], [414873, 0, 'td', 101], [262800, 1, 'td', 77]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5078, 'stats': {'rec': 86, 'rush_yds': 28, 'td': 77}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 30}, [[435600, 3, 'rec', 33]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 40, 'stats': {'rec': 2, 'rush_yds': 30}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 52, 'td': 1}, [[345601, 1, 'rec', 115]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 152, 'stats': {'rec': 8, 'rush_yds': 52, 'td': 1}}),
('normal control 3',
[{'rec': 6, 'rush_yds': 74, 'td': 0}, [[259201, 3, 'td', 14]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 944, 'stats': {'rec': 6, 'rush_yds': 74, 'td': 14}}),
('normal control 4',
[{'rec': 1, 'rush_yds': 10, 'td': 0}, [[362957, 0, 'td', 83]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 4995, 'stats': {'rec': 1, 'rush_yds': 10, 'td': 83}})],
[('regression: absolute replacement',
[{'rec': 3, 'rush_yds': 117},
[[259200, 3, 'rush_yds', 5], [349200, 3, 'rush_yds', 6], [259201, 0, 'rush_yds', 91],
[345599, 2, 'td', 29]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 1761, 'stats': {'rec': 3, 'rush_yds': 6, 'td': 29}}),
('partial repair probe: absolute replacement',
[{'rec': 7, 'rush_yds': 12},
[[345599, 3, 'rush_yds', 79], [431999, 2, 'rush_yds', 46], [345601, 3, 'rush_yds', 46],
[259200, 3, 'rush_yds', 118]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 114, 'stats': {'rec': 7, 'rush_yds': 79}}),
('second regression',
[{'rec': 1, 'rush_yds': 31}, [[345600, 1, 'rec', 60], [518399, 3, 'rush_yds', 72]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 331, 'stats': {'rec': 60, 'rush_yds': 31}}),
('normal control 1',
[{'rec': 5, 'rush_yds': 62}, [[491838, 1, 'td', 115]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 6987, 'stats': {'rec': 5, 'rush_yds': 62, 'td': 115}}),
('normal control 2',
[{'rec': 0, 'rush_yds': 94}, [[345601, 0, 'td', 12], [432001, 1, 'rec', 93]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1279, 'stats': {'rec': 93, 'rush_yds': 94, 'td': 12}}),
('normal control 3',
[{'rec': 0, 'rush_yds': 77}, [[435600, 2, 'rush_yds', 2]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 77, 'stats': {'rec': 0, 'rush_yds': 77}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 31, 'td': 0}, [[282221, 3, 'td', 41]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 2491, 'stats': {'rec': 0, 'rush_yds': 31, 'td': 41}})],
[('regression: absolute replacement',
[{'rec': 6, 'rush_yds': 36},
[[349200, 2, 'rush_yds', 49], [518401, 0, 'rush_yds', 104], [432001, 1, 'td', 96]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5839, 'stats': {'rec': 6, 'rush_yds': 49, 'td': 96}}),
('partial repair probe: absolute replacement',
[{'rec': 8, 'rush_yds': 44},
[[262800, 2, 'rec', 80], [259200, 3, 'rush_yds', 92], [345599, 2, 'rush_yds', 13],
[259199, 2, 'rec', 114]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 413, 'stats': {'rec': 80, 'rush_yds': 13}}),
('second regression',
[{'rec': 4, 'rush_yds': 66},
[[389729, 1, 'rec', 92], [345600, 2, 'rush_yds', 101], [432000, 0, 'rec', 55]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 561, 'stats': {'rec': 92, 'rush_yds': 101}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 70, 'td': 0},
[[502436, 1, 'rush_yds', 109], [449161, 0, 'td', 20], [518399, 2, 'rec', 27]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 85, 'stats': {'rec': 3, 'rush_yds': 70, 'td': 0}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 28, 'td': 2}, [[518400, 1, 'rec', 3]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 188, 'stats': {'rec': 8, 'rush_yds': 28, 'td': 2}}),
('normal control 3',
[{'rec': 0, 'rush_yds': 26},
[[345601, 1, 'td', 101], [432000, 3, 'rush_yds', 57], [518399, 2, 'rec', 114]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 6086, 'stats': {'rec': 0, 'rush_yds': 26, 'td': 101}}),
('normal control 4',
[{'rec': 6, 'rush_yds': 110, 'td': 2}, [[363142, 2, 'rush_yds', 69]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 260, 'stats': {'rec': 6, 'rush_yds': 110, 'td': 2}})],
[('regression: absolute replacement',
[{'rec': 6, 'rush_yds': 52, 'td': 0},
[[259200, 0, 'rush_yds', 15], [435600, 2, 'td', 74], [345601, 2, 'rush_yds', 10],
[345600, 0, 'rush_yds', 82]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 40, 'stats': {'rec': 6, 'rush_yds': 10, 'td': 0}}),
('partial repair probe: absolute replacement',
[{'rec': 6, 'rush_yds': 73, 'td': 2}, [[423408, 3, 'td', 73], [432000, 2, 'td', 49]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 3043, 'stats': {'rec': 6, 'rush_yds': 73, 'td': 49}}),
('second regression',
[{'rec': 3, 'rush_yds': 10}, [[435600, 1, 'td', 58], [345601, 0, 'rec', 84]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 3910, 'stats': {'rec': 84, 'rush_yds': 10, 'td': 58}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 71}, [[345601, 0, 'td', 119]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 7221, 'stats': {'rec': 2, 'rush_yds': 71, 'td': 119}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 50}, [[349200, 2, 'td', 117]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 7110, 'stats': {'rec': 8, 'rush_yds': 50, 'td': 117}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 23}, [[518401, 1, 'rec', 35]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 38, 'stats': {'rec': 3, 'rush_yds': 23}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 86}, [[259201, 1, 'rec', 5], [259199, 3, 'td', 17]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1131, 'stats': {'rec': 5, 'rush_yds': 86, 'td': 17}})]]
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: absolute replacement | {'applied': 4, 'points': 6151, 'stats': {'rec': 103, 'rush_yds': 116, 'td': 92}} | {'applied': 4, 'points': 6151, 'stats': {'rec': 103, 'rush_yds': 116, 'td': 92}} | Passed |
| partial repair probe: absolute replacement | {'applied': 2, 'points': 5341, 'stats': {'rec': 7, 'rush_yds': 26, 'td': 88}} | {'applied': 2, 'points': 5341, 'stats': {'rec': 7, 'rush_yds': 26, 'td': 88}} | Passed |
| second regression | {'applied': 4, 'points': 7263, 'stats': {'rec': 1, 'rush_yds': 118, 'td': 119}} | {'applied': 4, 'points': 7263, 'stats': {'rec': 1, 'rush_yds': 118, 'td': 119}} | Passed |
| normal control 1 | {'applied': 1, 'points': 1523, 'stats': {'rec': 2, 'rush_yds': 13, 'td': 25}} | {'applied': 1, 'points': 1523, 'stats': {'rec': 2, 'rush_yds': 13, 'td': 25}} | Passed |
| normal control 2 | {'applied': 0, 'points': 80, 'stats': {'rec': 1, 'rush_yds': 15, 'td': 1}} | {'applied': 0, 'points': 80, 'stats': {'rec': 1, 'rush_yds': 15, 'td': 1}} | Passed |
| normal control 3 | {'applied': 0, 'points': 177, 'stats': {'rec': 4, 'rush_yds': 97, 'td': 1}} | {'applied': 0, 'points': 177, 'stats': {'rec': 4, 'rush_yds': 97, 'td': 1}} | Passed |
| normal control 4 | {'applied': 0, 'points': 198, 'stats': {'rec': 8, 'rush_yds': 38, 'td': 2}} | {'applied': 0, 'points': 198, 'stats': {'rec': 8, 'rush_yds': 38, 'td': 2}} | Passed |
SHA-256 / bbb035ba5b8746fa0428072a7eb8b49f68723bf207644f53a6d72e14652558ee
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 2026-09-29T14:50:36.080385+00:00.
Case digest / 5c2a0ae5737152240567042c9e1669395386af46177297a38bdcb6d99610b60a