FA-85001 / Fantasy sports scoring / Open access
Points computed from the uncorrected stat line · case 01
The stats table shows the corrected value but the points total still reflects the original.
ROOT CAUSE
Points are summed from the base stats instead of the corrected stats.
VERIFIED REPAIR
Sum weights over the corrected stats, treating missing stats as zero.
Unsuccessful approach: Limiting the sum to stats in the base line ignores stats introduced by a correction.
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] = value
applied += 1
pts = sum(weights[s] * base.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: points from corrected stats',
[{'rec': 8, 'rush_yds': 20},
[[518399, 2, 'td', 5], [367875, 1, 'td', 5], [262800, 2, 'td', 34], [345601, 2, 'td', 31],
[432000, 0, 'td', 100]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 360, 'stats': {'rec': 8, 'rush_yds': 20, 'td': 5}}),
('partial repair probe: points from corrected stats',
[{'rec': 3, 'rush_yds': 79},
[[345601, 3, 'rec', 20], [490928, 2, 'rush_yds', 56], [345601, 2, 'rec', 66], [432000, 1, 'rec', 2],
[345601, 3, 'td', 85]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 5279, 'stats': {'rec': 20, 'rush_yds': 79, 'td': 85}}),
('second regression',
[{'rec': 3, 'rush_yds': 88, 'td': 1},
[[518400, 0, 'rush_yds', 64], [518399, 2, 'rush_yds', 33], [456901, 2, 'td', 33],
[349200, 1, 'rush_yds', 65], [345600, 0, 'rush_yds', 117]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 2028, 'stats': {'rec': 3, 'rush_yds': 33, 'td': 33}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 87, 'td': 0}, [[435600, 2, 'td', 14], [477591, 1, 'rec', 118]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 97, 'stats': {'rec': 2, 'rush_yds': 87, 'td': 0}}),
('normal control 2',
[{'rec': 6, 'rush_yds': 97, 'td': 1}, [[431999, 0, 'rec', 6], [342708, 2, 'rec', 87]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 187, 'stats': {'rec': 6, 'rush_yds': 97, 'td': 1}}),
('normal control 3',
[{'rec': 2, 'rush_yds': 10, 'td': 0}, [[345601, 2, 'rush_yds', 102]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}}),
('normal control 4',
[{'rec': 5, 'rush_yds': 28}, [[518401, 3, 'rush_yds', 48], [522000, 1, 'rec', 94]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 53, 'stats': {'rec': 5, 'rush_yds': 28}})],
[('regression: points from corrected stats',
[{'rec': 0, 'rush_yds': 9},
[[345599, 1, 'rec', 4], [345599, 1, 'rush_yds', 21], [345599, 3, 'rush_yds', 8],
[176400, 2, 'rush_yds', 43]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 28, 'stats': {'rec': 4, 'rush_yds': 8}}),
('partial repair probe: points from corrected stats',
[{'rec': 1, 'rush_yds': 14}, [[352260, 3, 'rush_yds', 5], [259199, 2, 'td', 104], [259199, 1, 'rec', 24]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 6374, 'stats': {'rec': 24, 'rush_yds': 14, 'td': 104}}),
('second regression',
[{'rec': 5, 'rush_yds': 9}, [[349200, 3, 'td', 92], [345599, 3, 'td', 26]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5554, 'stats': {'rec': 5, 'rush_yds': 9, 'td': 92}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 114, 'td': 2}, [[432001, 3, 'td', 51]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 249, 'stats': {'rec': 3, 'rush_yds': 114, 'td': 2}}),
('normal control 2',
[{'rec': 2, 'rush_yds': 100, 'td': 0}, [[432000, 2, 'rec', 101]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 110, 'stats': {'rec': 2, 'rush_yds': 100, 'td': 0}}),
('normal control 3',
[{'rec': 8, 'rush_yds': 95}, [[463855, 3, 'td', 20]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 135, 'stats': {'rec': 8, 'rush_yds': 95}}),
('normal control 4',
[{'rec': 6, 'rush_yds': 46}, [[349200, 2, 'td', 7], [345601, 2, 'rec', 56], [429827, 3, 'rush_yds', 35]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 76, 'stats': {'rec': 6, 'rush_yds': 46}})],
[('regression: points from corrected stats',
[{'rec': 0, 'rush_yds': 17, 'td': 2},
[[253850, 2, 'td', 22], [345600, 3, 'rush_yds', 55], [176400, 1, 'rush_yds', 69],
[345600, 2, 'rush_yds', 105], [431999, 0, 'rec', 100]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1389, 'stats': {'rec': 0, 'rush_yds': 69, 'td': 22}}),
('partial repair probe: points from corrected stats',
[{'rec': 0, 'rush_yds': 19},
[[435600, 3, 'td', 30], [518401, 2, 'rec', 107], [386343, 1, 'rec', 14], [431999, 0, 'td', 59]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 1889, 'stats': {'rec': 14, 'rush_yds': 19, 'td': 30}}),
('second regression',
[{'rec': 6, 'rush_yds': 59}, [[435600, 1, 'rec', 61], [432001, 2, 'rec', 25]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 364, 'stats': {'rec': 61, 'rush_yds': 59}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 10, 'td': 1}, [[345600, 2, 'rush_yds', 23]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 80, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 1}}),
('normal control 2',
[{'rec': 5, 'rush_yds': 108, 'td': 2}, [[441899, 3, 'rush_yds', 3], [432001, 3, 'rec', 54]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 253, 'stats': {'rec': 5, 'rush_yds': 108, 'td': 2}}),
('normal control 3',
[{'rec': 1, 'rush_yds': 55, 'td': 0},
[[522000, 2, 'td', 7], [518400, 1, 'rec', 1], [432001, 0, 'rec', 1], [604799, 1, 'rush_yds', 64]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 60, 'stats': {'rec': 1, 'rush_yds': 55, 'td': 0}}),
('normal control 4',
[{'rec': 7, 'rush_yds': 93, 'td': 0}, [[369332, 2, 'rush_yds', 105], [345601, 0, 'rush_yds', 3]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 128, 'stats': {'rec': 7, 'rush_yds': 93, 'td': 0}})],
[('regression: points from corrected stats',
[{'rec': 0, 'rush_yds': 81},
[[259200, 3, 'rec', 0], [345599, 3, 'td', 79], [431999, 3, 'rush_yds', 48], [431999, 3, 'rush_yds', 6],
[282306, 1, 'rec', 94]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 5291, 'stats': {'rec': 94, 'rush_yds': 81, 'td': 79}}),
('partial repair probe: points from corrected stats',
[{'rec': 2, 'rush_yds': 62}, [[431999, 0, 'td', 113], [431999, 0, 'rush_yds', 91]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 6881, 'stats': {'rec': 2, 'rush_yds': 91, 'td': 113}}),
('second regression',
[{'rec': 0, 'rush_yds': 109},
[[345600, 2, 'rec', 53], [484186, 2, 'rec', 89], [324847, 0, 'rush_yds', 85], [345599, 2, 'td', 75]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 4850, 'stats': {'rec': 53, 'rush_yds': 85, 'td': 75}}),
('normal control 1',
[{'rec': 4, 'rush_yds': 76, 'td': 2}, [[522000, 3, 'td', 82]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 216, 'stats': {'rec': 4, 'rush_yds': 76, 'td': 2}}),
('normal control 2',
[{'rec': 0, 'rush_yds': 0}, [[522000, 0, 'rec', 74], [518401, 1, 'td', 80]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 0, 'stats': {'rec': 0, 'rush_yds': 0}}),
('normal control 3',
[{'rec': 2, 'rush_yds': 86, 'td': 1}, [[595644, 0, 'rush_yds', 103]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 156, 'stats': {'rec': 2, 'rush_yds': 86, 'td': 1}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 11}, [[435600, 2, 'rec', 64]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 11, 'stats': {'rec': 0, 'rush_yds': 11}})],
[('regression: points from corrected stats',
[{'rec': 3, 'rush_yds': 24, 'td': 2},
[[432001, 0, 'rush_yds', 111], [259201, 0, 'rec', 83], [518399, 1, 'rec', 47]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 559, 'stats': {'rec': 83, 'rush_yds': 24, 'td': 2}}),
('partial repair probe: points from corrected stats',
[{'rec': 7, 'rush_yds': 118}, [[259200, 2, 'td', 115]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 7053, 'stats': {'rec': 7, 'rush_yds': 118, 'td': 115}}),
('second regression',
[{'rec': 0, 'rush_yds': 69, 'td': 2},
[[345601, 0, 'rec', 97], [463841, 1, 'td', 106], [492156, 2, 'td', 21], [345599, 3, 'td', 117]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 7574, 'stats': {'rec': 97, 'rush_yds': 69, 'td': 117}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 19, 'td': 1}, [[432000, 2, 'rec', 41]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 94, 'stats': {'rec': 3, 'rush_yds': 19, 'td': 1}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 18}, [[522000, 3, 'rush_yds', 102]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 58, 'stats': {'rec': 8, 'rush_yds': 18}}),
('normal control 3',
[{'rec': 4, 'rush_yds': 60}, [[360154, 2, 'rush_yds', 60]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 80, 'stats': {'rec': 4, 'rush_yds': 60}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 98}, [[535002, 2, 'rec', 116]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 98, 'stats': {'rec': 0, 'rush_yds': 98}})]]
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: points from corrected stats | {'applied': 3, 'points': 60, 'stats': {'rec': 8, 'rush_yds': 20, 'td': 5}} | {'applied': 3, 'points': 360, 'stats': {'rec': 8, 'rush_yds': 20, 'td': 5}} | Failed |
| partial repair probe: points from corrected stats | {'applied': 3, 'points': 94, 'stats': {'rec': 20, 'rush_yds': 79, 'td': 85}} | {'applied': 3, 'points': 5279, 'stats': {'rec': 20, 'rush_yds': 79, 'td': 85}} | Failed |
| second regression | {'applied': 4, 'points': 163, 'stats': {'rec': 3, 'rush_yds': 33, 'td': 33}} | {'applied': 4, 'points': 2028, 'stats': {'rec': 3, 'rush_yds': 33, 'td': 33}} | Failed |
| normal control 1 | {'applied': 0, 'points': 97, 'stats': {'rec': 2, 'rush_yds': 87, 'td': 0}} | {'applied': 0, 'points': 97, 'stats': {'rec': 2, 'rush_yds': 87, 'td': 0}} | Passed |
| normal control 2 | {'applied': 2, 'points': 187, 'stats': {'rec': 6, 'rush_yds': 97, 'td': 1}} | {'applied': 2, 'points': 187, 'stats': {'rec': 6, 'rush_yds': 97, 'td': 1}} | Passed |
| normal control 3 | {'applied': 0, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}} | {'applied': 0, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}} | Passed |
| normal control 4 | {'applied': 0, 'points': 53, 'stats': {'rec': 5, 'rush_yds': 28}} | {'applied': 0, 'points': 53, 'stats': {'rec': 5, 'rush_yds': 28}} | Passed |
SHA-256 / a1af5d4cfa3cae18041d1150bd49922eb7ef1d537daafb22f3aca96a18e10120
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] = value
applied += 1
pts = sum(weights[s] * stats[s] for s in sorted(weights) if s in base)
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: points from corrected stats',
[{'rec': 8, 'rush_yds': 20},
[[518399, 2, 'td', 5], [367875, 1, 'td', 5], [262800, 2, 'td', 34], [345601, 2, 'td', 31],
[432000, 0, 'td', 100]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 360, 'stats': {'rec': 8, 'rush_yds': 20, 'td': 5}}),
('partial repair probe: points from corrected stats',
[{'rec': 3, 'rush_yds': 79},
[[345601, 3, 'rec', 20], [490928, 2, 'rush_yds', 56], [345601, 2, 'rec', 66], [432000, 1, 'rec', 2],
[345601, 3, 'td', 85]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 5279, 'stats': {'rec': 20, 'rush_yds': 79, 'td': 85}}),
('second regression',
[{'rec': 3, 'rush_yds': 88, 'td': 1},
[[518400, 0, 'rush_yds', 64], [518399, 2, 'rush_yds', 33], [456901, 2, 'td', 33],
[349200, 1, 'rush_yds', 65], [345600, 0, 'rush_yds', 117]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 2028, 'stats': {'rec': 3, 'rush_yds': 33, 'td': 33}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 87, 'td': 0}, [[435600, 2, 'td', 14], [477591, 1, 'rec', 118]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 97, 'stats': {'rec': 2, 'rush_yds': 87, 'td': 0}}),
('normal control 2',
[{'rec': 6, 'rush_yds': 97, 'td': 1}, [[431999, 0, 'rec', 6], [342708, 2, 'rec', 87]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 187, 'stats': {'rec': 6, 'rush_yds': 97, 'td': 1}}),
('normal control 3',
[{'rec': 2, 'rush_yds': 10, 'td': 0}, [[345601, 2, 'rush_yds', 102]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}}),
('normal control 4',
[{'rec': 5, 'rush_yds': 28}, [[518401, 3, 'rush_yds', 48], [522000, 1, 'rec', 94]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 53, 'stats': {'rec': 5, 'rush_yds': 28}})],
[('regression: points from corrected stats',
[{'rec': 0, 'rush_yds': 9},
[[345599, 1, 'rec', 4], [345599, 1, 'rush_yds', 21], [345599, 3, 'rush_yds', 8],
[176400, 2, 'rush_yds', 43]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 28, 'stats': {'rec': 4, 'rush_yds': 8}}),
('partial repair probe: points from corrected stats',
[{'rec': 1, 'rush_yds': 14}, [[352260, 3, 'rush_yds', 5], [259199, 2, 'td', 104], [259199, 1, 'rec', 24]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 6374, 'stats': {'rec': 24, 'rush_yds': 14, 'td': 104}}),
('second regression',
[{'rec': 5, 'rush_yds': 9}, [[349200, 3, 'td', 92], [345599, 3, 'td', 26]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5554, 'stats': {'rec': 5, 'rush_yds': 9, 'td': 92}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 114, 'td': 2}, [[432001, 3, 'td', 51]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 249, 'stats': {'rec': 3, 'rush_yds': 114, 'td': 2}}),
('normal control 2',
[{'rec': 2, 'rush_yds': 100, 'td': 0}, [[432000, 2, 'rec', 101]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 110, 'stats': {'rec': 2, 'rush_yds': 100, 'td': 0}}),
('normal control 3',
[{'rec': 8, 'rush_yds': 95}, [[463855, 3, 'td', 20]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 135, 'stats': {'rec': 8, 'rush_yds': 95}}),
('normal control 4',
[{'rec': 6, 'rush_yds': 46}, [[349200, 2, 'td', 7], [345601, 2, 'rec', 56], [429827, 3, 'rush_yds', 35]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 76, 'stats': {'rec': 6, 'rush_yds': 46}})],
[('regression: points from corrected stats',
[{'rec': 0, 'rush_yds': 17, 'td': 2},
[[253850, 2, 'td', 22], [345600, 3, 'rush_yds', 55], [176400, 1, 'rush_yds', 69],
[345600, 2, 'rush_yds', 105], [431999, 0, 'rec', 100]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1389, 'stats': {'rec': 0, 'rush_yds': 69, 'td': 22}}),
('partial repair probe: points from corrected stats',
[{'rec': 0, 'rush_yds': 19},
[[435600, 3, 'td', 30], [518401, 2, 'rec', 107], [386343, 1, 'rec', 14], [431999, 0, 'td', 59]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 1889, 'stats': {'rec': 14, 'rush_yds': 19, 'td': 30}}),
('second regression',
[{'rec': 6, 'rush_yds': 59}, [[435600, 1, 'rec', 61], [432001, 2, 'rec', 25]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 364, 'stats': {'rec': 61, 'rush_yds': 59}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 10, 'td': 1}, [[345600, 2, 'rush_yds', 23]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 80, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 1}}),
('normal control 2',
[{'rec': 5, 'rush_yds': 108, 'td': 2}, [[441899, 3, 'rush_yds', 3], [432001, 3, 'rec', 54]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 253, 'stats': {'rec': 5, 'rush_yds': 108, 'td': 2}}),
('normal control 3',
[{'rec': 1, 'rush_yds': 55, 'td': 0},
[[522000, 2, 'td', 7], [518400, 1, 'rec', 1], [432001, 0, 'rec', 1], [604799, 1, 'rush_yds', 64]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 60, 'stats': {'rec': 1, 'rush_yds': 55, 'td': 0}}),
('normal control 4',
[{'rec': 7, 'rush_yds': 93, 'td': 0}, [[369332, 2, 'rush_yds', 105], [345601, 0, 'rush_yds', 3]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 128, 'stats': {'rec': 7, 'rush_yds': 93, 'td': 0}})],
[('regression: points from corrected stats',
[{'rec': 0, 'rush_yds': 81},
[[259200, 3, 'rec', 0], [345599, 3, 'td', 79], [431999, 3, 'rush_yds', 48], [431999, 3, 'rush_yds', 6],
[282306, 1, 'rec', 94]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 5291, 'stats': {'rec': 94, 'rush_yds': 81, 'td': 79}}),
('partial repair probe: points from corrected stats',
[{'rec': 2, 'rush_yds': 62}, [[431999, 0, 'td', 113], [431999, 0, 'rush_yds', 91]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 6881, 'stats': {'rec': 2, 'rush_yds': 91, 'td': 113}}),
('second regression',
[{'rec': 0, 'rush_yds': 109},
[[345600, 2, 'rec', 53], [484186, 2, 'rec', 89], [324847, 0, 'rush_yds', 85], [345599, 2, 'td', 75]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 4850, 'stats': {'rec': 53, 'rush_yds': 85, 'td': 75}}),
('normal control 1',
[{'rec': 4, 'rush_yds': 76, 'td': 2}, [[522000, 3, 'td', 82]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 216, 'stats': {'rec': 4, 'rush_yds': 76, 'td': 2}}),
('normal control 2',
[{'rec': 0, 'rush_yds': 0}, [[522000, 0, 'rec', 74], [518401, 1, 'td', 80]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 0, 'stats': {'rec': 0, 'rush_yds': 0}}),
('normal control 3',
[{'rec': 2, 'rush_yds': 86, 'td': 1}, [[595644, 0, 'rush_yds', 103]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 156, 'stats': {'rec': 2, 'rush_yds': 86, 'td': 1}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 11}, [[435600, 2, 'rec', 64]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 11, 'stats': {'rec': 0, 'rush_yds': 11}})],
[('regression: points from corrected stats',
[{'rec': 3, 'rush_yds': 24, 'td': 2},
[[432001, 0, 'rush_yds', 111], [259201, 0, 'rec', 83], [518399, 1, 'rec', 47]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 559, 'stats': {'rec': 83, 'rush_yds': 24, 'td': 2}}),
('partial repair probe: points from corrected stats',
[{'rec': 7, 'rush_yds': 118}, [[259200, 2, 'td', 115]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 7053, 'stats': {'rec': 7, 'rush_yds': 118, 'td': 115}}),
('second regression',
[{'rec': 0, 'rush_yds': 69, 'td': 2},
[[345601, 0, 'rec', 97], [463841, 1, 'td', 106], [492156, 2, 'td', 21], [345599, 3, 'td', 117]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 7574, 'stats': {'rec': 97, 'rush_yds': 69, 'td': 117}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 19, 'td': 1}, [[432000, 2, 'rec', 41]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 94, 'stats': {'rec': 3, 'rush_yds': 19, 'td': 1}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 18}, [[522000, 3, 'rush_yds', 102]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 58, 'stats': {'rec': 8, 'rush_yds': 18}}),
('normal control 3',
[{'rec': 4, 'rush_yds': 60}, [[360154, 2, 'rush_yds', 60]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 80, 'stats': {'rec': 4, 'rush_yds': 60}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 98}, [[535002, 2, 'rec', 116]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 98, 'stats': {'rec': 0, 'rush_yds': 98}})]]
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: points from corrected stats | {'applied': 3, 'points': 60, 'stats': {'rec': 8, 'rush_yds': 20, 'td': 5}} | {'applied': 3, 'points': 360, 'stats': {'rec': 8, 'rush_yds': 20, 'td': 5}} | Failed |
| partial repair probe: points from corrected stats | {'applied': 3, 'points': 179, 'stats': {'rec': 20, 'rush_yds': 79, 'td': 85}} | {'applied': 3, 'points': 5279, 'stats': {'rec': 20, 'rush_yds': 79, 'td': 85}} | Failed |
| second regression | {'applied': 4, 'points': 2028, 'stats': {'rec': 3, 'rush_yds': 33, 'td': 33}} | {'applied': 4, 'points': 2028, 'stats': {'rec': 3, 'rush_yds': 33, 'td': 33}} | Passed |
| normal control 1 | {'applied': 0, 'points': 97, 'stats': {'rec': 2, 'rush_yds': 87, 'td': 0}} | {'applied': 0, 'points': 97, 'stats': {'rec': 2, 'rush_yds': 87, 'td': 0}} | Passed |
| normal control 2 | {'applied': 2, 'points': 187, 'stats': {'rec': 6, 'rush_yds': 97, 'td': 1}} | {'applied': 2, 'points': 187, 'stats': {'rec': 6, 'rush_yds': 97, 'td': 1}} | Passed |
| normal control 3 | {'applied': 0, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}} | {'applied': 0, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}} | Passed |
| normal control 4 | {'applied': 0, 'points': 53, 'stats': {'rec': 5, 'rush_yds': 28}} | {'applied': 0, 'points': 53, 'stats': {'rec': 5, 'rush_yds': 28}} | Passed |
SHA-256 / a3d40639b55d028e4e0f23d529633c5c02dfda6960d371f556b3349649630d32
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: points from corrected stats',
[{'rec': 8, 'rush_yds': 20},
[[518399, 2, 'td', 5], [367875, 1, 'td', 5], [262800, 2, 'td', 34], [345601, 2, 'td', 31],
[432000, 0, 'td', 100]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 360, 'stats': {'rec': 8, 'rush_yds': 20, 'td': 5}}),
('partial repair probe: points from corrected stats',
[{'rec': 3, 'rush_yds': 79},
[[345601, 3, 'rec', 20], [490928, 2, 'rush_yds', 56], [345601, 2, 'rec', 66], [432000, 1, 'rec', 2],
[345601, 3, 'td', 85]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 5279, 'stats': {'rec': 20, 'rush_yds': 79, 'td': 85}}),
('second regression',
[{'rec': 3, 'rush_yds': 88, 'td': 1},
[[518400, 0, 'rush_yds', 64], [518399, 2, 'rush_yds', 33], [456901, 2, 'td', 33],
[349200, 1, 'rush_yds', 65], [345600, 0, 'rush_yds', 117]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 2028, 'stats': {'rec': 3, 'rush_yds': 33, 'td': 33}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 87, 'td': 0}, [[435600, 2, 'td', 14], [477591, 1, 'rec', 118]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 97, 'stats': {'rec': 2, 'rush_yds': 87, 'td': 0}}),
('normal control 2',
[{'rec': 6, 'rush_yds': 97, 'td': 1}, [[431999, 0, 'rec', 6], [342708, 2, 'rec', 87]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 187, 'stats': {'rec': 6, 'rush_yds': 97, 'td': 1}}),
('normal control 3',
[{'rec': 2, 'rush_yds': 10, 'td': 0}, [[345601, 2, 'rush_yds', 102]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}}),
('normal control 4',
[{'rec': 5, 'rush_yds': 28}, [[518401, 3, 'rush_yds', 48], [522000, 1, 'rec', 94]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 53, 'stats': {'rec': 5, 'rush_yds': 28}})],
[('regression: points from corrected stats',
[{'rec': 0, 'rush_yds': 9},
[[345599, 1, 'rec', 4], [345599, 1, 'rush_yds', 21], [345599, 3, 'rush_yds', 8],
[176400, 2, 'rush_yds', 43]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 28, 'stats': {'rec': 4, 'rush_yds': 8}}),
('partial repair probe: points from corrected stats',
[{'rec': 1, 'rush_yds': 14}, [[352260, 3, 'rush_yds', 5], [259199, 2, 'td', 104], [259199, 1, 'rec', 24]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 6374, 'stats': {'rec': 24, 'rush_yds': 14, 'td': 104}}),
('second regression',
[{'rec': 5, 'rush_yds': 9}, [[349200, 3, 'td', 92], [345599, 3, 'td', 26]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 5554, 'stats': {'rec': 5, 'rush_yds': 9, 'td': 92}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 114, 'td': 2}, [[432001, 3, 'td', 51]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 249, 'stats': {'rec': 3, 'rush_yds': 114, 'td': 2}}),
('normal control 2',
[{'rec': 2, 'rush_yds': 100, 'td': 0}, [[432000, 2, 'rec', 101]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 110, 'stats': {'rec': 2, 'rush_yds': 100, 'td': 0}}),
('normal control 3',
[{'rec': 8, 'rush_yds': 95}, [[463855, 3, 'td', 20]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 135, 'stats': {'rec': 8, 'rush_yds': 95}}),
('normal control 4',
[{'rec': 6, 'rush_yds': 46}, [[349200, 2, 'td', 7], [345601, 2, 'rec', 56], [429827, 3, 'rush_yds', 35]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 76, 'stats': {'rec': 6, 'rush_yds': 46}})],
[('regression: points from corrected stats',
[{'rec': 0, 'rush_yds': 17, 'td': 2},
[[253850, 2, 'td', 22], [345600, 3, 'rush_yds', 55], [176400, 1, 'rush_yds', 69],
[345600, 2, 'rush_yds', 105], [431999, 0, 'rec', 100]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 1389, 'stats': {'rec': 0, 'rush_yds': 69, 'td': 22}}),
('partial repair probe: points from corrected stats',
[{'rec': 0, 'rush_yds': 19},
[[435600, 3, 'td', 30], [518401, 2, 'rec', 107], [386343, 1, 'rec', 14], [431999, 0, 'td', 59]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 1889, 'stats': {'rec': 14, 'rush_yds': 19, 'td': 30}}),
('second regression',
[{'rec': 6, 'rush_yds': 59}, [[435600, 1, 'rec', 61], [432001, 2, 'rec', 25]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 364, 'stats': {'rec': 61, 'rush_yds': 59}}),
('normal control 1',
[{'rec': 2, 'rush_yds': 10, 'td': 1}, [[345600, 2, 'rush_yds', 23]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 80, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 1}}),
('normal control 2',
[{'rec': 5, 'rush_yds': 108, 'td': 2}, [[441899, 3, 'rush_yds', 3], [432001, 3, 'rec', 54]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 253, 'stats': {'rec': 5, 'rush_yds': 108, 'td': 2}}),
('normal control 3',
[{'rec': 1, 'rush_yds': 55, 'td': 0},
[[522000, 2, 'td', 7], [518400, 1, 'rec', 1], [432001, 0, 'rec', 1], [604799, 1, 'rush_yds', 64]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 60, 'stats': {'rec': 1, 'rush_yds': 55, 'td': 0}}),
('normal control 4',
[{'rec': 7, 'rush_yds': 93, 'td': 0}, [[369332, 2, 'rush_yds', 105], [345601, 0, 'rush_yds', 3]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 128, 'stats': {'rec': 7, 'rush_yds': 93, 'td': 0}})],
[('regression: points from corrected stats',
[{'rec': 0, 'rush_yds': 81},
[[259200, 3, 'rec', 0], [345599, 3, 'td', 79], [431999, 3, 'rush_yds', 48], [431999, 3, 'rush_yds', 6],
[282306, 1, 'rec', 94]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 5291, 'stats': {'rec': 94, 'rush_yds': 81, 'td': 79}}),
('partial repair probe: points from corrected stats',
[{'rec': 2, 'rush_yds': 62}, [[431999, 0, 'td', 113], [431999, 0, 'rush_yds', 91]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 6881, 'stats': {'rec': 2, 'rush_yds': 91, 'td': 113}}),
('second regression',
[{'rec': 0, 'rush_yds': 109},
[[345600, 2, 'rec', 53], [484186, 2, 'rec', 89], [324847, 0, 'rush_yds', 85], [345599, 2, 'td', 75]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 4850, 'stats': {'rec': 53, 'rush_yds': 85, 'td': 75}}),
('normal control 1',
[{'rec': 4, 'rush_yds': 76, 'td': 2}, [[522000, 3, 'td', 82]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 216, 'stats': {'rec': 4, 'rush_yds': 76, 'td': 2}}),
('normal control 2',
[{'rec': 0, 'rush_yds': 0}, [[522000, 0, 'rec', 74], [518401, 1, 'td', 80]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 0, 'stats': {'rec': 0, 'rush_yds': 0}}),
('normal control 3',
[{'rec': 2, 'rush_yds': 86, 'td': 1}, [[595644, 0, 'rush_yds', 103]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 156, 'stats': {'rec': 2, 'rush_yds': 86, 'td': 1}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 11}, [[435600, 2, 'rec', 64]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 11, 'stats': {'rec': 0, 'rush_yds': 11}})],
[('regression: points from corrected stats',
[{'rec': 3, 'rush_yds': 24, 'td': 2},
[[432001, 0, 'rush_yds', 111], [259201, 0, 'rec', 83], [518399, 1, 'rec', 47]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 559, 'stats': {'rec': 83, 'rush_yds': 24, 'td': 2}}),
('partial repair probe: points from corrected stats',
[{'rec': 7, 'rush_yds': 118}, [[259200, 2, 'td', 115]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 7053, 'stats': {'rec': 7, 'rush_yds': 118, 'td': 115}}),
('second regression',
[{'rec': 0, 'rush_yds': 69, 'td': 2},
[[345601, 0, 'rec', 97], [463841, 1, 'td', 106], [492156, 2, 'td', 21], [345599, 3, 'td', 117]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 7574, 'stats': {'rec': 97, 'rush_yds': 69, 'td': 117}}),
('normal control 1',
[{'rec': 3, 'rush_yds': 19, 'td': 1}, [[432000, 2, 'rec', 41]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 94, 'stats': {'rec': 3, 'rush_yds': 19, 'td': 1}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 18}, [[522000, 3, 'rush_yds', 102]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 58, 'stats': {'rec': 8, 'rush_yds': 18}}),
('normal control 3',
[{'rec': 4, 'rush_yds': 60}, [[360154, 2, 'rush_yds', 60]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 80, 'stats': {'rec': 4, 'rush_yds': 60}}),
('normal control 4',
[{'rec': 0, 'rush_yds': 98}, [[535002, 2, 'rec', 116]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 98, 'stats': {'rec': 0, 'rush_yds': 98}})]]
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: points from corrected stats | {'applied': 3, 'points': 360, 'stats': {'rec': 8, 'rush_yds': 20, 'td': 5}} | {'applied': 3, 'points': 360, 'stats': {'rec': 8, 'rush_yds': 20, 'td': 5}} | Passed |
| partial repair probe: points from corrected stats | {'applied': 3, 'points': 5279, 'stats': {'rec': 20, 'rush_yds': 79, 'td': 85}} | {'applied': 3, 'points': 5279, 'stats': {'rec': 20, 'rush_yds': 79, 'td': 85}} | Passed |
| second regression | {'applied': 4, 'points': 2028, 'stats': {'rec': 3, 'rush_yds': 33, 'td': 33}} | {'applied': 4, 'points': 2028, 'stats': {'rec': 3, 'rush_yds': 33, 'td': 33}} | Passed |
| normal control 1 | {'applied': 0, 'points': 97, 'stats': {'rec': 2, 'rush_yds': 87, 'td': 0}} | {'applied': 0, 'points': 97, 'stats': {'rec': 2, 'rush_yds': 87, 'td': 0}} | Passed |
| normal control 2 | {'applied': 2, 'points': 187, 'stats': {'rec': 6, 'rush_yds': 97, 'td': 1}} | {'applied': 2, 'points': 187, 'stats': {'rec': 6, 'rush_yds': 97, 'td': 1}} | Passed |
| normal control 3 | {'applied': 0, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}} | {'applied': 0, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}} | Passed |
| normal control 4 | {'applied': 0, 'points': 53, 'stats': {'rec': 5, 'rush_yds': 28}} | {'applied': 0, 'points': 53, 'stats': {'rec': 5, 'rush_yds': 28}} | Passed |
SHA-256 / db2649938bfff5072b752a2c4c66c9b3a0dd084236acf3eec3b3f34094cff536
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 2026-09-29T14:50:36.433064+00:00.
Case digest / a23c197101d8fde5d8e04f4ca6700f264cd0575fcce2bff6b8b836b9e075c667