FA-84996 / Fantasy sports scoring / Open access
Late corrections counted as applied · case 01
The audit trail reports five applied corrections while only three were within the deadline.
ROOT CAUSE
The applied counter increments before the deadline filter skips late corrections.
VERIFIED REPAIR
Count a correction only after it passes the deadline filter and is applied.
Unsuccessful approach: Counting only value-changing corrections under-reports corrections that restate the same value.
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])):
applied += 1
if ts // 86400 > deadline:
continue
stats[stat] = value
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: applied counter',
[{'rec': 5, 'rush_yds': 100, 'td': 2},
[[604799, 0, 'rec', 90], [604799, 0, 'rec', 2], [345600, 2, 'td', 68]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 4205, 'stats': {'rec': 5, 'rush_yds': 100, 'td': 68}}),
('partial repair probe: applied counter',
[{'rec': 2, 'rush_yds': 44, 'td': 1}, [[435600, 1, 'td', 2], [349200, 3, 'rush_yds', 44]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 114, 'stats': {'rec': 2, 'rush_yds': 44, 'td': 1}}),
('second regression',
[{'rec': 2, 'rush_yds': 26, 'td': 2},
[[259200, 3, 'rush_yds', 108], [349200, 0, 'rush_yds', 100], [345599, 2, 'rec', 7],
[345601, 2, 'rush_yds', 46], [259199, 2, 'rush_yds', 23]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 263, 'stats': {'rec': 7, 'rush_yds': 108, 'td': 2}}),
('normal control 1',
[{'rec': 7, 'rush_yds': 61},
[[259200, 3, 'td', 60], [259200, 1, 'td', 68], [172800, 1, 'rec', 104], [259201, 0, 'rec', 23]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 3776, 'stats': {'rec': 23, 'rush_yds': 61, 'td': 60}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 69, 'td': 1}, [[518399, 1, 'td', 39], [435600, 2, 'rec', 94]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 2879, 'stats': {'rec': 94, 'rush_yds': 69, 'td': 39}}),
('normal control 3',
[{'rec': 7, 'rush_yds': 78, 'td': 0}, [[345601, 2, 'rec', 108], [431999, 2, 'rec', 102]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 588, 'stats': {'rec': 102, 'rush_yds': 78, 'td': 0}}),
('normal control 4',
[{'rec': 5, 'rush_yds': 27, 'td': 0}, [[345600, 2, 'rush_yds', 20]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 45, 'stats': {'rec': 5, 'rush_yds': 20, 'td': 0}})],
[('regression: applied counter',
[{'rec': 8, 'rush_yds': 86},
[[259200, 1, 'rec', 18], [345601, 0, 'rec', 73], [259200, 2, 'td', 3], [259201, 3, 'rec', 13],
[262800, 3, 'rush_yds', 40]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 285, 'stats': {'rec': 13, 'rush_yds': 40, 'td': 3}}),
('partial repair probe: applied counter',
[{'rec': 8, 'rush_yds': 10}, [[262800, 1, 'rush_yds', 10]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 50, 'stats': {'rec': 8, 'rush_yds': 10}}),
('second regression',
[{'rec': 1, 'rush_yds': 15, 'td': 1},
[[345601, 0, 'rec', 47], [432000, 0, 'td', 119], [408723, 0, 'rush_yds', 112]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 407, 'stats': {'rec': 47, 'rush_yds': 112, 'td': 1}}),
('normal control 1',
[{'rec': 5, 'rush_yds': 79, 'td': 0},
[[435600, 1, 'rush_yds', 53], [345601, 1, 'rush_yds', 105], [464918, 3, 'td', 114], [518399, 2, 'td', 26],
[518399, 2, 'rush_yds', 63]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 1648, 'stats': {'rec': 5, 'rush_yds': 63, 'td': 26}}),
('normal control 2',
[{'rec': 4, 'rush_yds': 22}, [[349200, 1, 'td', 101]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 6102, 'stats': {'rec': 4, 'rush_yds': 22, 'td': 101}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 0, 'td': 2}, [[259201, 0, 'rec', 70]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 470, 'stats': {'rec': 70, 'rush_yds': 0, 'td': 2}}),
('normal control 4',
[{'rec': 3, 'rush_yds': 82},
[[349200, 2, 'td', 114], [431999, 0, 'rush_yds', 24], [259200, 1, 'rec', 55], [431999, 3, 'td', 79]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 5039, 'stats': {'rec': 55, 'rush_yds': 24, 'td': 79}})],
[('regression: applied counter',
[{'rec': 8, 'rush_yds': 75, 'td': 2},
[[435600, 3, 'rec', 93], [432001, 2, 'td', 86], [432000, 2, 'td', 101]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 235, 'stats': {'rec': 8, 'rush_yds': 75, 'td': 2}}),
('partial repair probe: applied counter',
[{'rec': 4, 'rush_yds': 84, 'td': 2},
[[284666, 2, 'rec', 4], [259200, 3, 'td', 82], [298948, 0, 'td', 105], [349200, 2, 'td', 67],
[431999, 1, 'rush_yds', 88]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 4128, 'stats': {'rec': 4, 'rush_yds': 88, 'td': 67}}),
('second regression',
[{'rec': 2, 'rush_yds': 65, 'td': 0}, [[432000, 0, 'rush_yds', 10], [604799, 3, 'rec', 74]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}}),
('normal control 1',
[{'rec': 5, 'rush_yds': 43, 'td': 2}, [[405691, 0, 'rec', 35]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 338, 'stats': {'rec': 35, 'rush_yds': 43, 'td': 2}}),
('normal control 2',
[{'rec': 3, 'rush_yds': 25},
[[482768, 1, 'rec', 26], [345600, 2, 'rush_yds', 32], [450486, 1, 'td', 36], [432000, 1, 'td', 64]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 2322, 'stats': {'rec': 26, 'rush_yds': 32, 'td': 36}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 71, 'td': 1}, [[259200, 0, 'rush_yds', 87], [172801, 3, 'rec', 86]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 577, 'stats': {'rec': 86, 'rush_yds': 87, 'td': 1}}),
('normal control 4',
[{'rec': 3, 'rush_yds': 46}, [[259201, 0, 'td', 50]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 3061, 'stats': {'rec': 3, 'rush_yds': 46, 'td': 50}})],
[('regression: applied counter',
[{'rec': 7, 'rush_yds': 95, 'td': 2}, [[345600, 1, 'rec', 113], [435600, 1, 'rush_yds', 96]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 780, 'stats': {'rec': 113, 'rush_yds': 95, 'td': 2}}),
('partial repair probe: applied counter',
[{'rec': 3, 'rush_yds': 59, 'td': 2}, [[334588, 1, 'td', 2]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 194, 'stats': {'rec': 3, 'rush_yds': 59, 'td': 2}}),
('second regression',
[{'rec': 1, 'rush_yds': 30},
[[488302, 1, 'rush_yds', 83], [518399, 2, 'td', 46], [345601, 1, 'rush_yds', 62], [432000, 0, 'rec', 55]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 67, 'stats': {'rec': 1, 'rush_yds': 62}}),
('normal control 1',
[{'rec': 4, 'rush_yds': 97}, [[259201, 0, 'rush_yds', 49]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 69, 'stats': {'rec': 4, 'rush_yds': 49}}),
('normal control 2',
[{'rec': 6, 'rush_yds': 29, 'td': 1}, [[500428, 3, 'rush_yds', 90], [432001, 0, 'rec', 40]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 350, 'stats': {'rec': 40, 'rush_yds': 90, 'td': 1}}),
('normal control 3',
[{'rec': 4, 'rush_yds': 39}, [[349200, 3, 'rec', 73], [259201, 2, 'rec', 19], [330457, 1, 'rush_yds', 66]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 431, 'stats': {'rec': 73, 'rush_yds': 66}}),
('normal control 4',
[{'rec': 2, 'rush_yds': 1},
[[435600, 2, 'td', 71], [432001, 3, 'td', 70], [435600, 0, 'td', 60], [432000, 0, 'rec', 39]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 4456, 'stats': {'rec': 39, 'rush_yds': 1, 'td': 71}})],
[('regression: applied counter',
[{'rec': 8, 'rush_yds': 76, 'td': 2},
[[259200, 0, 'rec', 91], [345601, 0, 'rec', 0], [188559, 3, 'rec', 31], [262800, 1, 'td', 35]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 2631, 'stats': {'rec': 91, 'rush_yds': 76, 'td': 35}}),
('partial repair probe: applied counter',
[{'rec': 6, 'rush_yds': 53, 'td': 2}, [[259201, 3, 'td', 2]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 203, 'stats': {'rec': 6, 'rush_yds': 53, 'td': 2}}),
('second regression',
[{'rec': 1, 'rush_yds': 45}, [[262800, 1, 'rush_yds', 84], [259201, 2, 'td', 69], [431999, 3, 'td', 3]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 4229, 'stats': {'rec': 1, 'rush_yds': 84, 'td': 69}}),
('normal control 1',
[{'rec': 8, 'rush_yds': 36, 'td': 0}, [[432000, 0, 'td', 78], [345601, 3, 'td', 71]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 4756, 'stats': {'rec': 8, 'rush_yds': 36, 'td': 78}}),
('normal control 2',
[{'rec': 5, 'rush_yds': 96},
[[345601, 3, 'rec', 28], [262800, 3, 'rush_yds', 58], [259200, 3, 'rush_yds', 4]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 198, 'stats': {'rec': 28, 'rush_yds': 58}}),
('normal control 3',
[{'rec': 0, 'rush_yds': 120, 'td': 2},
[[432001, 2, 'rec', 75], [435600, 3, 'rush_yds', 9], [518399, 3, 'td', 93]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 5964, 'stats': {'rec': 75, 'rush_yds': 9, 'td': 93}}),
('normal control 4',
[{'rec': 4, 'rush_yds': 63},
[[345599, 1, 'rush_yds', 74], [240637, 0, 'rush_yds', 4], [176400, 0, 'rec', 34],
[289010, 0, 'rush_yds', 45]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 244, 'stats': {'rec': 34, 'rush_yds': 74}})]]
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: applied counter | {'applied': 3, 'points': 4205, 'stats': {'rec': 5, 'rush_yds': 100, 'td': 68}} | {'applied': 1, 'points': 4205, 'stats': {'rec': 5, 'rush_yds': 100, 'td': 68}} | Failed |
| partial repair probe: applied counter | {'applied': 2, 'points': 114, 'stats': {'rec': 2, 'rush_yds': 44, 'td': 1}} | {'applied': 1, 'points': 114, 'stats': {'rec': 2, 'rush_yds': 44, 'td': 1}} | Failed |
| second regression | {'applied': 5, 'points': 263, 'stats': {'rec': 7, 'rush_yds': 108, 'td': 2}} | {'applied': 3, 'points': 263, 'stats': {'rec': 7, 'rush_yds': 108, 'td': 2}} | Failed |
| normal control 1 | {'applied': 4, 'points': 3776, 'stats': {'rec': 23, 'rush_yds': 61, 'td': 60}} | {'applied': 4, 'points': 3776, 'stats': {'rec': 23, 'rush_yds': 61, 'td': 60}} | Passed |
| normal control 2 | {'applied': 2, 'points': 2879, 'stats': {'rec': 94, 'rush_yds': 69, 'td': 39}} | {'applied': 2, 'points': 2879, 'stats': {'rec': 94, 'rush_yds': 69, 'td': 39}} | Passed |
| normal control 3 | {'applied': 2, 'points': 588, 'stats': {'rec': 102, 'rush_yds': 78, 'td': 0}} | {'applied': 2, 'points': 588, 'stats': {'rec': 102, 'rush_yds': 78, 'td': 0}} | Passed |
| normal control 4 | {'applied': 1, 'points': 45, 'stats': {'rec': 5, 'rush_yds': 20, 'td': 0}} | {'applied': 1, 'points': 45, 'stats': {'rec': 5, 'rush_yds': 20, 'td': 0}} | Passed |
SHA-256 / badfb06d884517671b3463fcfe2dfd602d96237d4374a97c16c46dbbfbd48d82
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
applied += 1 if stats.get(stat) != value else 0
stats[stat] = value
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: applied counter',
[{'rec': 5, 'rush_yds': 100, 'td': 2},
[[604799, 0, 'rec', 90], [604799, 0, 'rec', 2], [345600, 2, 'td', 68]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 4205, 'stats': {'rec': 5, 'rush_yds': 100, 'td': 68}}),
('partial repair probe: applied counter',
[{'rec': 2, 'rush_yds': 44, 'td': 1}, [[435600, 1, 'td', 2], [349200, 3, 'rush_yds', 44]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 114, 'stats': {'rec': 2, 'rush_yds': 44, 'td': 1}}),
('second regression',
[{'rec': 2, 'rush_yds': 26, 'td': 2},
[[259200, 3, 'rush_yds', 108], [349200, 0, 'rush_yds', 100], [345599, 2, 'rec', 7],
[345601, 2, 'rush_yds', 46], [259199, 2, 'rush_yds', 23]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 263, 'stats': {'rec': 7, 'rush_yds': 108, 'td': 2}}),
('normal control 1',
[{'rec': 7, 'rush_yds': 61},
[[259200, 3, 'td', 60], [259200, 1, 'td', 68], [172800, 1, 'rec', 104], [259201, 0, 'rec', 23]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 3776, 'stats': {'rec': 23, 'rush_yds': 61, 'td': 60}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 69, 'td': 1}, [[518399, 1, 'td', 39], [435600, 2, 'rec', 94]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 2879, 'stats': {'rec': 94, 'rush_yds': 69, 'td': 39}}),
('normal control 3',
[{'rec': 7, 'rush_yds': 78, 'td': 0}, [[345601, 2, 'rec', 108], [431999, 2, 'rec', 102]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 588, 'stats': {'rec': 102, 'rush_yds': 78, 'td': 0}}),
('normal control 4',
[{'rec': 5, 'rush_yds': 27, 'td': 0}, [[345600, 2, 'rush_yds', 20]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 45, 'stats': {'rec': 5, 'rush_yds': 20, 'td': 0}})],
[('regression: applied counter',
[{'rec': 8, 'rush_yds': 86},
[[259200, 1, 'rec', 18], [345601, 0, 'rec', 73], [259200, 2, 'td', 3], [259201, 3, 'rec', 13],
[262800, 3, 'rush_yds', 40]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 285, 'stats': {'rec': 13, 'rush_yds': 40, 'td': 3}}),
('partial repair probe: applied counter',
[{'rec': 8, 'rush_yds': 10}, [[262800, 1, 'rush_yds', 10]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 50, 'stats': {'rec': 8, 'rush_yds': 10}}),
('second regression',
[{'rec': 1, 'rush_yds': 15, 'td': 1},
[[345601, 0, 'rec', 47], [432000, 0, 'td', 119], [408723, 0, 'rush_yds', 112]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 407, 'stats': {'rec': 47, 'rush_yds': 112, 'td': 1}}),
('normal control 1',
[{'rec': 5, 'rush_yds': 79, 'td': 0},
[[435600, 1, 'rush_yds', 53], [345601, 1, 'rush_yds', 105], [464918, 3, 'td', 114], [518399, 2, 'td', 26],
[518399, 2, 'rush_yds', 63]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 1648, 'stats': {'rec': 5, 'rush_yds': 63, 'td': 26}}),
('normal control 2',
[{'rec': 4, 'rush_yds': 22}, [[349200, 1, 'td', 101]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 6102, 'stats': {'rec': 4, 'rush_yds': 22, 'td': 101}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 0, 'td': 2}, [[259201, 0, 'rec', 70]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 470, 'stats': {'rec': 70, 'rush_yds': 0, 'td': 2}}),
('normal control 4',
[{'rec': 3, 'rush_yds': 82},
[[349200, 2, 'td', 114], [431999, 0, 'rush_yds', 24], [259200, 1, 'rec', 55], [431999, 3, 'td', 79]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 5039, 'stats': {'rec': 55, 'rush_yds': 24, 'td': 79}})],
[('regression: applied counter',
[{'rec': 8, 'rush_yds': 75, 'td': 2},
[[435600, 3, 'rec', 93], [432001, 2, 'td', 86], [432000, 2, 'td', 101]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 235, 'stats': {'rec': 8, 'rush_yds': 75, 'td': 2}}),
('partial repair probe: applied counter',
[{'rec': 4, 'rush_yds': 84, 'td': 2},
[[284666, 2, 'rec', 4], [259200, 3, 'td', 82], [298948, 0, 'td', 105], [349200, 2, 'td', 67],
[431999, 1, 'rush_yds', 88]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 4128, 'stats': {'rec': 4, 'rush_yds': 88, 'td': 67}}),
('second regression',
[{'rec': 2, 'rush_yds': 65, 'td': 0}, [[432000, 0, 'rush_yds', 10], [604799, 3, 'rec', 74]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}}),
('normal control 1',
[{'rec': 5, 'rush_yds': 43, 'td': 2}, [[405691, 0, 'rec', 35]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 338, 'stats': {'rec': 35, 'rush_yds': 43, 'td': 2}}),
('normal control 2',
[{'rec': 3, 'rush_yds': 25},
[[482768, 1, 'rec', 26], [345600, 2, 'rush_yds', 32], [450486, 1, 'td', 36], [432000, 1, 'td', 64]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 2322, 'stats': {'rec': 26, 'rush_yds': 32, 'td': 36}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 71, 'td': 1}, [[259200, 0, 'rush_yds', 87], [172801, 3, 'rec', 86]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 577, 'stats': {'rec': 86, 'rush_yds': 87, 'td': 1}}),
('normal control 4',
[{'rec': 3, 'rush_yds': 46}, [[259201, 0, 'td', 50]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 3061, 'stats': {'rec': 3, 'rush_yds': 46, 'td': 50}})],
[('regression: applied counter',
[{'rec': 7, 'rush_yds': 95, 'td': 2}, [[345600, 1, 'rec', 113], [435600, 1, 'rush_yds', 96]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 780, 'stats': {'rec': 113, 'rush_yds': 95, 'td': 2}}),
('partial repair probe: applied counter',
[{'rec': 3, 'rush_yds': 59, 'td': 2}, [[334588, 1, 'td', 2]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 194, 'stats': {'rec': 3, 'rush_yds': 59, 'td': 2}}),
('second regression',
[{'rec': 1, 'rush_yds': 30},
[[488302, 1, 'rush_yds', 83], [518399, 2, 'td', 46], [345601, 1, 'rush_yds', 62], [432000, 0, 'rec', 55]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 67, 'stats': {'rec': 1, 'rush_yds': 62}}),
('normal control 1',
[{'rec': 4, 'rush_yds': 97}, [[259201, 0, 'rush_yds', 49]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 69, 'stats': {'rec': 4, 'rush_yds': 49}}),
('normal control 2',
[{'rec': 6, 'rush_yds': 29, 'td': 1}, [[500428, 3, 'rush_yds', 90], [432001, 0, 'rec', 40]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 350, 'stats': {'rec': 40, 'rush_yds': 90, 'td': 1}}),
('normal control 3',
[{'rec': 4, 'rush_yds': 39}, [[349200, 3, 'rec', 73], [259201, 2, 'rec', 19], [330457, 1, 'rush_yds', 66]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 431, 'stats': {'rec': 73, 'rush_yds': 66}}),
('normal control 4',
[{'rec': 2, 'rush_yds': 1},
[[435600, 2, 'td', 71], [432001, 3, 'td', 70], [435600, 0, 'td', 60], [432000, 0, 'rec', 39]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 4456, 'stats': {'rec': 39, 'rush_yds': 1, 'td': 71}})],
[('regression: applied counter',
[{'rec': 8, 'rush_yds': 76, 'td': 2},
[[259200, 0, 'rec', 91], [345601, 0, 'rec', 0], [188559, 3, 'rec', 31], [262800, 1, 'td', 35]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 2631, 'stats': {'rec': 91, 'rush_yds': 76, 'td': 35}}),
('partial repair probe: applied counter',
[{'rec': 6, 'rush_yds': 53, 'td': 2}, [[259201, 3, 'td', 2]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 203, 'stats': {'rec': 6, 'rush_yds': 53, 'td': 2}}),
('second regression',
[{'rec': 1, 'rush_yds': 45}, [[262800, 1, 'rush_yds', 84], [259201, 2, 'td', 69], [431999, 3, 'td', 3]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 4229, 'stats': {'rec': 1, 'rush_yds': 84, 'td': 69}}),
('normal control 1',
[{'rec': 8, 'rush_yds': 36, 'td': 0}, [[432000, 0, 'td', 78], [345601, 3, 'td', 71]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 4756, 'stats': {'rec': 8, 'rush_yds': 36, 'td': 78}}),
('normal control 2',
[{'rec': 5, 'rush_yds': 96},
[[345601, 3, 'rec', 28], [262800, 3, 'rush_yds', 58], [259200, 3, 'rush_yds', 4]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 198, 'stats': {'rec': 28, 'rush_yds': 58}}),
('normal control 3',
[{'rec': 0, 'rush_yds': 120, 'td': 2},
[[432001, 2, 'rec', 75], [435600, 3, 'rush_yds', 9], [518399, 3, 'td', 93]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 5964, 'stats': {'rec': 75, 'rush_yds': 9, 'td': 93}}),
('normal control 4',
[{'rec': 4, 'rush_yds': 63},
[[345599, 1, 'rush_yds', 74], [240637, 0, 'rush_yds', 4], [176400, 0, 'rec', 34],
[289010, 0, 'rush_yds', 45]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 244, 'stats': {'rec': 34, 'rush_yds': 74}})]]
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: applied counter | {'applied': 1, 'points': 4205, 'stats': {'rec': 5, 'rush_yds': 100, 'td': 68}} | {'applied': 1, 'points': 4205, 'stats': {'rec': 5, 'rush_yds': 100, 'td': 68}} | Passed |
| partial repair probe: applied counter | {'applied': 0, 'points': 114, 'stats': {'rec': 2, 'rush_yds': 44, 'td': 1}} | {'applied': 1, 'points': 114, 'stats': {'rec': 2, 'rush_yds': 44, 'td': 1}} | Failed |
| second regression | {'applied': 3, 'points': 263, 'stats': {'rec': 7, 'rush_yds': 108, 'td': 2}} | {'applied': 3, 'points': 263, 'stats': {'rec': 7, 'rush_yds': 108, 'td': 2}} | Passed |
| normal control 1 | {'applied': 4, 'points': 3776, 'stats': {'rec': 23, 'rush_yds': 61, 'td': 60}} | {'applied': 4, 'points': 3776, 'stats': {'rec': 23, 'rush_yds': 61, 'td': 60}} | Passed |
| normal control 2 | {'applied': 2, 'points': 2879, 'stats': {'rec': 94, 'rush_yds': 69, 'td': 39}} | {'applied': 2, 'points': 2879, 'stats': {'rec': 94, 'rush_yds': 69, 'td': 39}} | Passed |
| normal control 3 | {'applied': 2, 'points': 588, 'stats': {'rec': 102, 'rush_yds': 78, 'td': 0}} | {'applied': 2, 'points': 588, 'stats': {'rec': 102, 'rush_yds': 78, 'td': 0}} | Passed |
| normal control 4 | {'applied': 1, 'points': 45, 'stats': {'rec': 5, 'rush_yds': 20, 'td': 0}} | {'applied': 1, 'points': 45, 'stats': {'rec': 5, 'rush_yds': 20, 'td': 0}} | Passed |
SHA-256 / 72f230b0bbad2e41a9c7d37187b051b4fe6cba59577b8c7a2500f3bf84f4c7b2
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: applied counter',
[{'rec': 5, 'rush_yds': 100, 'td': 2},
[[604799, 0, 'rec', 90], [604799, 0, 'rec', 2], [345600, 2, 'td', 68]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 4205, 'stats': {'rec': 5, 'rush_yds': 100, 'td': 68}}),
('partial repair probe: applied counter',
[{'rec': 2, 'rush_yds': 44, 'td': 1}, [[435600, 1, 'td', 2], [349200, 3, 'rush_yds', 44]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 114, 'stats': {'rec': 2, 'rush_yds': 44, 'td': 1}}),
('second regression',
[{'rec': 2, 'rush_yds': 26, 'td': 2},
[[259200, 3, 'rush_yds', 108], [349200, 0, 'rush_yds', 100], [345599, 2, 'rec', 7],
[345601, 2, 'rush_yds', 46], [259199, 2, 'rush_yds', 23]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 263, 'stats': {'rec': 7, 'rush_yds': 108, 'td': 2}}),
('normal control 1',
[{'rec': 7, 'rush_yds': 61},
[[259200, 3, 'td', 60], [259200, 1, 'td', 68], [172800, 1, 'rec', 104], [259201, 0, 'rec', 23]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 3776, 'stats': {'rec': 23, 'rush_yds': 61, 'td': 60}}),
('normal control 2',
[{'rec': 8, 'rush_yds': 69, 'td': 1}, [[518399, 1, 'td', 39], [435600, 2, 'rec', 94]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 2879, 'stats': {'rec': 94, 'rush_yds': 69, 'td': 39}}),
('normal control 3',
[{'rec': 7, 'rush_yds': 78, 'td': 0}, [[345601, 2, 'rec', 108], [431999, 2, 'rec', 102]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 588, 'stats': {'rec': 102, 'rush_yds': 78, 'td': 0}}),
('normal control 4',
[{'rec': 5, 'rush_yds': 27, 'td': 0}, [[345600, 2, 'rush_yds', 20]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 45, 'stats': {'rec': 5, 'rush_yds': 20, 'td': 0}})],
[('regression: applied counter',
[{'rec': 8, 'rush_yds': 86},
[[259200, 1, 'rec', 18], [345601, 0, 'rec', 73], [259200, 2, 'td', 3], [259201, 3, 'rec', 13],
[262800, 3, 'rush_yds', 40]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 285, 'stats': {'rec': 13, 'rush_yds': 40, 'td': 3}}),
('partial repair probe: applied counter',
[{'rec': 8, 'rush_yds': 10}, [[262800, 1, 'rush_yds', 10]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 50, 'stats': {'rec': 8, 'rush_yds': 10}}),
('second regression',
[{'rec': 1, 'rush_yds': 15, 'td': 1},
[[345601, 0, 'rec', 47], [432000, 0, 'td', 119], [408723, 0, 'rush_yds', 112]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 407, 'stats': {'rec': 47, 'rush_yds': 112, 'td': 1}}),
('normal control 1',
[{'rec': 5, 'rush_yds': 79, 'td': 0},
[[435600, 1, 'rush_yds', 53], [345601, 1, 'rush_yds', 105], [464918, 3, 'td', 114], [518399, 2, 'td', 26],
[518399, 2, 'rush_yds', 63]],
5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 1648, 'stats': {'rec': 5, 'rush_yds': 63, 'td': 26}}),
('normal control 2',
[{'rec': 4, 'rush_yds': 22}, [[349200, 1, 'td', 101]], 5, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 6102, 'stats': {'rec': 4, 'rush_yds': 22, 'td': 101}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 0, 'td': 2}, [[259201, 0, 'rec', 70]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 470, 'stats': {'rec': 70, 'rush_yds': 0, 'td': 2}}),
('normal control 4',
[{'rec': 3, 'rush_yds': 82},
[[349200, 2, 'td', 114], [431999, 0, 'rush_yds', 24], [259200, 1, 'rec', 55], [431999, 3, 'td', 79]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 5039, 'stats': {'rec': 55, 'rush_yds': 24, 'td': 79}})],
[('regression: applied counter',
[{'rec': 8, 'rush_yds': 75, 'td': 2},
[[435600, 3, 'rec', 93], [432001, 2, 'td', 86], [432000, 2, 'td', 101]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 0, 'points': 235, 'stats': {'rec': 8, 'rush_yds': 75, 'td': 2}}),
('partial repair probe: applied counter',
[{'rec': 4, 'rush_yds': 84, 'td': 2},
[[284666, 2, 'rec', 4], [259200, 3, 'td', 82], [298948, 0, 'td', 105], [349200, 2, 'td', 67],
[431999, 1, 'rush_yds', 88]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 5, 'points': 4128, 'stats': {'rec': 4, 'rush_yds': 88, 'td': 67}}),
('second regression',
[{'rec': 2, 'rush_yds': 65, 'td': 0}, [[432000, 0, 'rush_yds', 10], [604799, 3, 'rec', 74]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 20, 'stats': {'rec': 2, 'rush_yds': 10, 'td': 0}}),
('normal control 1',
[{'rec': 5, 'rush_yds': 43, 'td': 2}, [[405691, 0, 'rec', 35]], 4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 338, 'stats': {'rec': 35, 'rush_yds': 43, 'td': 2}}),
('normal control 2',
[{'rec': 3, 'rush_yds': 25},
[[482768, 1, 'rec', 26], [345600, 2, 'rush_yds', 32], [450486, 1, 'td', 36], [432000, 1, 'td', 64]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 2322, 'stats': {'rec': 26, 'rush_yds': 32, 'td': 36}}),
('normal control 3',
[{'rec': 3, 'rush_yds': 71, 'td': 1}, [[259200, 0, 'rush_yds', 87], [172801, 3, 'rec', 86]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 577, 'stats': {'rec': 86, 'rush_yds': 87, 'td': 1}}),
('normal control 4',
[{'rec': 3, 'rush_yds': 46}, [[259201, 0, 'td', 50]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 3061, 'stats': {'rec': 3, 'rush_yds': 46, 'td': 50}})],
[('regression: applied counter',
[{'rec': 7, 'rush_yds': 95, 'td': 2}, [[345600, 1, 'rec', 113], [435600, 1, 'rush_yds', 96]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 780, 'stats': {'rec': 113, 'rush_yds': 95, 'td': 2}}),
('partial repair probe: applied counter',
[{'rec': 3, 'rush_yds': 59, 'td': 2}, [[334588, 1, 'td', 2]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 194, 'stats': {'rec': 3, 'rush_yds': 59, 'td': 2}}),
('second regression',
[{'rec': 1, 'rush_yds': 30},
[[488302, 1, 'rush_yds', 83], [518399, 2, 'td', 46], [345601, 1, 'rush_yds', 62], [432000, 0, 'rec', 55]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 67, 'stats': {'rec': 1, 'rush_yds': 62}}),
('normal control 1',
[{'rec': 4, 'rush_yds': 97}, [[259201, 0, 'rush_yds', 49]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 69, 'stats': {'rec': 4, 'rush_yds': 49}}),
('normal control 2',
[{'rec': 6, 'rush_yds': 29, 'td': 1}, [[500428, 3, 'rush_yds', 90], [432001, 0, 'rec', 40]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 350, 'stats': {'rec': 40, 'rush_yds': 90, 'td': 1}}),
('normal control 3',
[{'rec': 4, 'rush_yds': 39}, [[349200, 3, 'rec', 73], [259201, 2, 'rec', 19], [330457, 1, 'rush_yds', 66]],
4, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 431, 'stats': {'rec': 73, 'rush_yds': 66}}),
('normal control 4',
[{'rec': 2, 'rush_yds': 1},
[[435600, 2, 'td', 71], [432001, 3, 'td', 70], [435600, 0, 'td', 60], [432000, 0, 'rec', 39]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 4456, 'stats': {'rec': 39, 'rush_yds': 1, 'td': 71}})],
[('regression: applied counter',
[{'rec': 8, 'rush_yds': 76, 'td': 2},
[[259200, 0, 'rec', 91], [345601, 0, 'rec', 0], [188559, 3, 'rec', 31], [262800, 1, 'td', 35]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 2631, 'stats': {'rec': 91, 'rush_yds': 76, 'td': 35}}),
('partial repair probe: applied counter',
[{'rec': 6, 'rush_yds': 53, 'td': 2}, [[259201, 3, 'td', 2]], 3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 1, 'points': 203, 'stats': {'rec': 6, 'rush_yds': 53, 'td': 2}}),
('second regression',
[{'rec': 1, 'rush_yds': 45}, [[262800, 1, 'rush_yds', 84], [259201, 2, 'td', 69], [431999, 3, 'td', 3]], 3,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 4229, 'stats': {'rec': 1, 'rush_yds': 84, 'td': 69}}),
('normal control 1',
[{'rec': 8, 'rush_yds': 36, 'td': 0}, [[432000, 0, 'td', 78], [345601, 3, 'td', 71]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 2, 'points': 4756, 'stats': {'rec': 8, 'rush_yds': 36, 'td': 78}}),
('normal control 2',
[{'rec': 5, 'rush_yds': 96},
[[345601, 3, 'rec', 28], [262800, 3, 'rush_yds', 58], [259200, 3, 'rush_yds', 4]], 4,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 198, 'stats': {'rec': 28, 'rush_yds': 58}}),
('normal control 3',
[{'rec': 0, 'rush_yds': 120, 'td': 2},
[[432001, 2, 'rec', 75], [435600, 3, 'rush_yds', 9], [518399, 3, 'td', 93]], 5,
{'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 3, 'points': 5964, 'stats': {'rec': 75, 'rush_yds': 9, 'td': 93}}),
('normal control 4',
[{'rec': 4, 'rush_yds': 63},
[[345599, 1, 'rush_yds', 74], [240637, 0, 'rush_yds', 4], [176400, 0, 'rec', 34],
[289010, 0, 'rush_yds', 45]],
3, {'rec': 5, 'rush_yds': 1, 'td': 60}],
{'applied': 4, 'points': 244, 'stats': {'rec': 34, 'rush_yds': 74}})]]
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: applied counter | {'applied': 1, 'points': 4205, 'stats': {'rec': 5, 'rush_yds': 100, 'td': 68}} | {'applied': 1, 'points': 4205, 'stats': {'rec': 5, 'rush_yds': 100, 'td': 68}} | Passed |
| partial repair probe: applied counter | {'applied': 1, 'points': 114, 'stats': {'rec': 2, 'rush_yds': 44, 'td': 1}} | {'applied': 1, 'points': 114, 'stats': {'rec': 2, 'rush_yds': 44, 'td': 1}} | Passed |
| second regression | {'applied': 3, 'points': 263, 'stats': {'rec': 7, 'rush_yds': 108, 'td': 2}} | {'applied': 3, 'points': 263, 'stats': {'rec': 7, 'rush_yds': 108, 'td': 2}} | Passed |
| normal control 1 | {'applied': 4, 'points': 3776, 'stats': {'rec': 23, 'rush_yds': 61, 'td': 60}} | {'applied': 4, 'points': 3776, 'stats': {'rec': 23, 'rush_yds': 61, 'td': 60}} | Passed |
| normal control 2 | {'applied': 2, 'points': 2879, 'stats': {'rec': 94, 'rush_yds': 69, 'td': 39}} | {'applied': 2, 'points': 2879, 'stats': {'rec': 94, 'rush_yds': 69, 'td': 39}} | Passed |
| normal control 3 | {'applied': 2, 'points': 588, 'stats': {'rec': 102, 'rush_yds': 78, 'td': 0}} | {'applied': 2, 'points': 588, 'stats': {'rec': 102, 'rush_yds': 78, 'td': 0}} | Passed |
| normal control 4 | {'applied': 1, 'points': 45, 'stats': {'rec': 5, 'rush_yds': 20, 'td': 0}} | {'applied': 1, 'points': 45, 'stats': {'rec': 5, 'rush_yds': 20, 'td': 0}} | Passed |
SHA-256 / 427f5e2a0c56eb227b71ce1587d858880d62d3979950ca65ce12fb6bf8a4fb00
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 2026-09-29T14:50:36.353503+00:00.
Case digest / 5de60ee2c7ed94be324601b2f4481f8da886582c16546b06732ff57276b959eb