FA-85296 / Fantasy sports scoring / Open access
Bogey-free bonus paid on incomplete rounds · case 01
A golfer who withdrew after nine clean holes earns the bogey-free bonus.
ROOT CAUSE
The bogey-free bonus lacks the complete-round requirement.
VERIFIED REPAIR
Require all 18 holes for the bogey-free bonus.
Unsuccessful approach: Requiring nine holes still pays incomplete rounds.
Case contract
Score a golf round given [par, strokes] per hole, in tenths: albatross or better 13, eagle 8, birdie 3, par 0.5, bogey -0.5, double bogey or worse -1; any hole-in-one earns +5 on top. Each maximal run of three or more consecutive birdie-or-better holes earns one 3 point streak bonus. A complete 18-hole round with no bogey or worse earns +3; a complete 18-hole round under 70 strokes earns +5.
Why this case matters
Golf fantasy streak and round bonuses depend on precise run detection and completion conditions.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(holes):
pts = 0
run = 0
streaks = 0
for par, strokes in holes:
d = strokes - par
if d <= -3:
pts += 130
elif d == -2:
pts += 80
elif d == -1:
pts += 30
elif d == 0:
pts += 5
elif d == 1:
pts -= 5
else:
pts -= 10
if strokes == 1:
pts += 50
if d < 0:
run += 1
if run == 3:
streaks += 1
else:
run = 0
pts += 30 * streaks
if all(s - p <= 0 for p, s in holes):
pts += 30
if len(holes) == 18 and sum(s for _, s in holes) < 70:
pts += 50
return pts
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: bogey-free completion',
[[[5, 5], [5, 4], [3, 3], [5, 5], [5, 5], [4, 4], [3, 3], [4, 3], [5, 5]]], 95),
('partial repair probe: bogey-free completion',
[[[3, 3], [4, 3], [3, 2], [4, 3], [4, 4], [3, 2], [4, 3], [3, 3], [5, 5]]], 200),
('second regression', [[[4, 3], [5, 4], [4, 3], [5, 5], [3, 3], [4, 3], [4, 3], [3, 2], [4, 3]]], 280),
('normal control 1',
[[[3, 3], [4, 6], [4, 4], [3, 3], [4, 4], [5, 6], [3, 3], [4, 4], [4, 6], [4, 5], [4, 4], [5, 5], [4, 4],
[4, 2], [4, 3], [4, 4], [4, 4], [3, 5]]],
125),
('normal control 2',
[[[3, 3], [3, 4], [5, 5], [4, 4], [3, 3], [5, 4], [3, 3], [4, 4], [4, 4], [4, 4], [3, 2], [4, 6], [4, 4],
[5, 5], [5, 5], [4, 6], [4, 3], [4, 3]]],
150),
('normal control 3',
[[[4, 4], [3, 3], [4, 3], [5, 5], [3, 3], [4, 2], [4, 4], [5, 6], [4, 4], [3, 2], [4, 4], [5, 7], [5, 4],
[4, 3]]],
220),
('normal control 4',
[[[4, 4], [4, 3], [5, 4], [4, 4], [4, 4], [4, 4], [5, 4], [4, 3], [4, 3], [4, 5], [3, 5], [5, 7], [4, 4],
[3, 2]]],
210)],
[('regression: bogey-free completion',
[[[4, 4], [3, 2], [3, 1], [4, 3], [5, 1], [4, 4], [5, 4], [4, 3], [4, 4]]], 475),
('partial repair probe: bogey-free completion',
[[[3, 1], [3, 3], [4, 4], [3, 2], [4, 1], [3, 3], [3, 3], [4, 4], [5, 5], [4, 2], [4, 4], [3, 3], [4, 4],
[5, 5]]],
470),
('second regression',
[[[3, 2], [4, 4], [3, 3], [5, 4], [3, 3], [3, 2], [4, 3], [4, 3], [3, 3], [4, 4], [3, 3], [4, 3], [4, 4],
[4, 3]]],
275),
('normal control 1',
[[[4, 4], [4, 3], [3, 3], [5, 5], [5, 5], [4, 2], [5, 5], [5, 5], [5, 4], [4, 3], [4, 4], [5, 5], [4, 4],
[3, 3], [3, 2], [3, 2], [3, 2], [3, 1]]],
550),
('normal control 2',
[[[4, 4], [4, 4], [3, 2], [4, 2], [5, 5], [5, 5], [4, 4], [4, 3], [4, 4], [4, 3], [4, 3], [4, 2], [4, 3],
[5, 4], [5, 5], [4, 4], [5, 5], [4, 3]]],
525),
('normal control 3',
[[[4, 5], [4, 2], [4, 4], [3, 2], [4, 4], [3, 1], [5, 5], [5, 5], [5, 5], [5, 5], [4, 4], [5, 7], [4, 2],
[4, 4], [4, 4], [3, 2], [5, 4], [3, 2]]],
520),
('normal control 4',
[[[5, 5], [3, 3], [4, 3], [4, 3], [4, 4], [5, 5], [5, 4], [5, 5], [5, 5], [4, 4], [5, 4], [4, 3], [4, 4],
[4, 4], [4, 3], [4, 3], [4, 4], [5, 5]]],
295)],
[('regression: bogey-free completion',
[[[3, 1], [5, 5], [4, 4], [4, 3], [5, 5], [4, 4], [3, 2], [4, 1], [3, 2], [4, 1], [4, 4], [3, 1], [4, 3],
[5, 5]]],
800),
('partial repair probe: bogey-free completion',
[[[5, 5], [4, 4], [4, 3], [3, 2], [4, 4], [5, 5], [5, 5], [5, 5], [4, 3], [5, 5], [4, 4], [4, 3], [3, 3],
[5, 5]]],
170),
('second regression',
[[[4, 4], [4, 3], [5, 4], [4, 2], [5, 4], [5, 4], [4, 3], [3, 3], [4, 4], [4, 4], [4, 1], [5, 5], [4, 4],
[3, 3]]],
475),
('normal control 1',
[[[5, 5], [4, 2], [4, 2], [4, 3], [3, 5], [5, 6], [4, 4], [4, 3], [4, 3], [5, 5], [5, 5], [3, 2], [4, 3],
[4, 3], [4, 5], [4, 5], [3, 2], [4, 3]]],
505),
('normal control 2',
[[[5, 5], [3, 1], [3, 3], [4, 4], [5, 4], [4, 1], [3, 1], [3, 3], [5, 4], [3, 3], [5, 4], [4, 3], [4, 4],
[3, 1], [3, 1], [3, 3], [3, 2], [4, 3]]],
1025),
('normal control 3',
[[[4, 3], [3, 2], [4, 4], [4, 4], [5, 4], [4, 3], [5, 5], [3, 3], [5, 3], [5, 4], [5, 5], [3, 3], [4, 3],
[4, 4], [5, 5], [5, 5], [4, 4], [3, 3]]],
395),
('normal control 4',
[[[4, 3], [4, 4], [3, 5], [4, 6], [4, 4], [4, 4], [4, 6], [4, 4], [3, 2], [5, 6], [4, 5], [3, 3], [4, 6],
[4, 4], [3, 2], [3, 2], [3, 3], [4, 6]]],
95)],
[('regression: bogey-free completion',
[[[4, 4], [4, 4], [5, 4], [4, 1], [4, 3], [5, 4], [5, 5], [5, 5], [4, 4]]], 325),
('partial repair probe: bogey-free completion',
[[[5, 4], [5, 4], [3, 3], [3, 2], [4, 2], [3, 2], [3, 3], [3, 1], [4, 4]]], 375),
('second regression',
[[[4, 4], [4, 4], [3, 2], [3, 3], [5, 5], [3, 2], [4, 2], [3, 2], [3, 3], [4, 4], [3, 3], [5, 5], [3, 3],
[4, 2]]],
325),
('normal control 1',
[[[5, 5], [3, 5], [4, 4], [4, 3], [5, 3], [4, 6], [5, 6], [4, 3], [5, 5], [5, 7], [5, 4], [4, 3], [4, 2],
[5, 4], [4, 4], [4, 3], [4, 4], [4, 3]]],
390),
('normal control 2',
[[[4, 4], [5, 5], [4, 4], [5, 5], [5, 5], [4, 4], [3, 3], [4, 4], [3, 1], [3, 2], [3, 3], [4, 4], [4, 3],
[4, 3], [3, 3], [5, 5], [3, 3], [4, 3]]],
395),
('normal control 3',
[[[5, 7], [4, 1], [4, 4], [4, 4], [3, 2], [5, 3], [4, 3], [4, 4], [5, 5], [3, 3], [5, 5], [4, 4], [4, 3],
[4, 4], [4, 4], [4, 3], [4, 1], [4, 5]]],
670),
('normal control 4', [[[3, 3], [4, 4], [4, 3], [4, 4], [5, 7], [4, 4], [5, 7], [4, 4], [4, 3]]], 65)],
[('regression: bogey-free completion',
[[[5, 4], [3, 3], [4, 2], [4, 4], [4, 2], [4, 3], [5, 5], [4, 4], [4, 4]]], 245),
('partial repair probe: bogey-free completion',
[[[4, 3], [5, 5], [4, 3], [4, 3], [5, 4], [5, 4], [3, 2], [3, 2], [4, 4]]], 250),
('second regression', [[[3, 2], [4, 4], [5, 4], [4, 4], [4, 4], [3, 3], [5, 5], [4, 2], [5, 5]]], 170),
('normal control 1',
[[[4, 3], [4, 3], [4, 6], [4, 6], [5, 7], [5, 5], [3, 2], [4, 5], [4, 3], [4, 3], [5, 5], [3, 3], [3, 1],
[3, 5]]],
250),
('normal control 2',
[[[3, 5], [5, 5], [4, 6], [4, 4], [3, 2], [5, 5], [5, 4], [5, 4], [3, 2], [4, 4], [5, 7], [4, 2], [3, 4],
[3, 1], [4, 3], [4, 4], [4, 2], [4, 3]]],
540),
('normal control 3',
[[[3, 1], [3, 3], [5, 5], [4, 3], [4, 4], [3, 4], [4, 4], [5, 6], [3, 1], [4, 3], [4, 2], [3, 3], [4, 4],
[4, 5], [5, 4], [4, 4], [3, 3], [5, 7]]],
525),
('normal control 4',
[[[4, 4], [3, 2], [4, 4], [4, 1], [3, 3], [4, 3], [5, 4], [4, 4], [4, 2], [3, 3], [4, 3], [4, 4], [4, 4],
[5, 5], [4, 2], [4, 3], [5, 4], [4, 3]]],
700)]]
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: bogey-free completion | 125 | 95 | Failed |
| partial repair probe: bogey-free completion | 230 | 200 | Failed |
| second regression | 310 | 280 | Failed |
| normal control 1 | 125 | 125 | Passed |
| normal control 2 | 150 | 150 | Passed |
| normal control 3 | 220 | 220 | Passed |
| normal control 4 | 210 | 210 | Passed |
SHA-256 / 9f16f84e7ecc9cb4dcdecefa8449ae42d17ed99e76df08935c206d39c7109edc
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(holes):
pts = 0
run = 0
streaks = 0
for par, strokes in holes:
d = strokes - par
if d <= -3:
pts += 130
elif d == -2:
pts += 80
elif d == -1:
pts += 30
elif d == 0:
pts += 5
elif d == 1:
pts -= 5
else:
pts -= 10
if strokes == 1:
pts += 50
if d < 0:
run += 1
if run == 3:
streaks += 1
else:
run = 0
pts += 30 * streaks
if len(holes) >= 9 and all(s - p <= 0 for p, s in holes):
pts += 30
if len(holes) == 18 and sum(s for _, s in holes) < 70:
pts += 50
return pts
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: bogey-free completion',
[[[5, 5], [5, 4], [3, 3], [5, 5], [5, 5], [4, 4], [3, 3], [4, 3], [5, 5]]], 95),
('partial repair probe: bogey-free completion',
[[[3, 3], [4, 3], [3, 2], [4, 3], [4, 4], [3, 2], [4, 3], [3, 3], [5, 5]]], 200),
('second regression', [[[4, 3], [5, 4], [4, 3], [5, 5], [3, 3], [4, 3], [4, 3], [3, 2], [4, 3]]], 280),
('normal control 1',
[[[3, 3], [4, 6], [4, 4], [3, 3], [4, 4], [5, 6], [3, 3], [4, 4], [4, 6], [4, 5], [4, 4], [5, 5], [4, 4],
[4, 2], [4, 3], [4, 4], [4, 4], [3, 5]]],
125),
('normal control 2',
[[[3, 3], [3, 4], [5, 5], [4, 4], [3, 3], [5, 4], [3, 3], [4, 4], [4, 4], [4, 4], [3, 2], [4, 6], [4, 4],
[5, 5], [5, 5], [4, 6], [4, 3], [4, 3]]],
150),
('normal control 3',
[[[4, 4], [3, 3], [4, 3], [5, 5], [3, 3], [4, 2], [4, 4], [5, 6], [4, 4], [3, 2], [4, 4], [5, 7], [5, 4],
[4, 3]]],
220),
('normal control 4',
[[[4, 4], [4, 3], [5, 4], [4, 4], [4, 4], [4, 4], [5, 4], [4, 3], [4, 3], [4, 5], [3, 5], [5, 7], [4, 4],
[3, 2]]],
210)],
[('regression: bogey-free completion',
[[[4, 4], [3, 2], [3, 1], [4, 3], [5, 1], [4, 4], [5, 4], [4, 3], [4, 4]]], 475),
('partial repair probe: bogey-free completion',
[[[3, 1], [3, 3], [4, 4], [3, 2], [4, 1], [3, 3], [3, 3], [4, 4], [5, 5], [4, 2], [4, 4], [3, 3], [4, 4],
[5, 5]]],
470),
('second regression',
[[[3, 2], [4, 4], [3, 3], [5, 4], [3, 3], [3, 2], [4, 3], [4, 3], [3, 3], [4, 4], [3, 3], [4, 3], [4, 4],
[4, 3]]],
275),
('normal control 1',
[[[4, 4], [4, 3], [3, 3], [5, 5], [5, 5], [4, 2], [5, 5], [5, 5], [5, 4], [4, 3], [4, 4], [5, 5], [4, 4],
[3, 3], [3, 2], [3, 2], [3, 2], [3, 1]]],
550),
('normal control 2',
[[[4, 4], [4, 4], [3, 2], [4, 2], [5, 5], [5, 5], [4, 4], [4, 3], [4, 4], [4, 3], [4, 3], [4, 2], [4, 3],
[5, 4], [5, 5], [4, 4], [5, 5], [4, 3]]],
525),
('normal control 3',
[[[4, 5], [4, 2], [4, 4], [3, 2], [4, 4], [3, 1], [5, 5], [5, 5], [5, 5], [5, 5], [4, 4], [5, 7], [4, 2],
[4, 4], [4, 4], [3, 2], [5, 4], [3, 2]]],
520),
('normal control 4',
[[[5, 5], [3, 3], [4, 3], [4, 3], [4, 4], [5, 5], [5, 4], [5, 5], [5, 5], [4, 4], [5, 4], [4, 3], [4, 4],
[4, 4], [4, 3], [4, 3], [4, 4], [5, 5]]],
295)],
[('regression: bogey-free completion',
[[[3, 1], [5, 5], [4, 4], [4, 3], [5, 5], [4, 4], [3, 2], [4, 1], [3, 2], [4, 1], [4, 4], [3, 1], [4, 3],
[5, 5]]],
800),
('partial repair probe: bogey-free completion',
[[[5, 5], [4, 4], [4, 3], [3, 2], [4, 4], [5, 5], [5, 5], [5, 5], [4, 3], [5, 5], [4, 4], [4, 3], [3, 3],
[5, 5]]],
170),
('second regression',
[[[4, 4], [4, 3], [5, 4], [4, 2], [5, 4], [5, 4], [4, 3], [3, 3], [4, 4], [4, 4], [4, 1], [5, 5], [4, 4],
[3, 3]]],
475),
('normal control 1',
[[[5, 5], [4, 2], [4, 2], [4, 3], [3, 5], [5, 6], [4, 4], [4, 3], [4, 3], [5, 5], [5, 5], [3, 2], [4, 3],
[4, 3], [4, 5], [4, 5], [3, 2], [4, 3]]],
505),
('normal control 2',
[[[5, 5], [3, 1], [3, 3], [4, 4], [5, 4], [4, 1], [3, 1], [3, 3], [5, 4], [3, 3], [5, 4], [4, 3], [4, 4],
[3, 1], [3, 1], [3, 3], [3, 2], [4, 3]]],
1025),
('normal control 3',
[[[4, 3], [3, 2], [4, 4], [4, 4], [5, 4], [4, 3], [5, 5], [3, 3], [5, 3], [5, 4], [5, 5], [3, 3], [4, 3],
[4, 4], [5, 5], [5, 5], [4, 4], [3, 3]]],
395),
('normal control 4',
[[[4, 3], [4, 4], [3, 5], [4, 6], [4, 4], [4, 4], [4, 6], [4, 4], [3, 2], [5, 6], [4, 5], [3, 3], [4, 6],
[4, 4], [3, 2], [3, 2], [3, 3], [4, 6]]],
95)],
[('regression: bogey-free completion',
[[[4, 4], [4, 4], [5, 4], [4, 1], [4, 3], [5, 4], [5, 5], [5, 5], [4, 4]]], 325),
('partial repair probe: bogey-free completion',
[[[5, 4], [5, 4], [3, 3], [3, 2], [4, 2], [3, 2], [3, 3], [3, 1], [4, 4]]], 375),
('second regression',
[[[4, 4], [4, 4], [3, 2], [3, 3], [5, 5], [3, 2], [4, 2], [3, 2], [3, 3], [4, 4], [3, 3], [5, 5], [3, 3],
[4, 2]]],
325),
('normal control 1',
[[[5, 5], [3, 5], [4, 4], [4, 3], [5, 3], [4, 6], [5, 6], [4, 3], [5, 5], [5, 7], [5, 4], [4, 3], [4, 2],
[5, 4], [4, 4], [4, 3], [4, 4], [4, 3]]],
390),
('normal control 2',
[[[4, 4], [5, 5], [4, 4], [5, 5], [5, 5], [4, 4], [3, 3], [4, 4], [3, 1], [3, 2], [3, 3], [4, 4], [4, 3],
[4, 3], [3, 3], [5, 5], [3, 3], [4, 3]]],
395),
('normal control 3',
[[[5, 7], [4, 1], [4, 4], [4, 4], [3, 2], [5, 3], [4, 3], [4, 4], [5, 5], [3, 3], [5, 5], [4, 4], [4, 3],
[4, 4], [4, 4], [4, 3], [4, 1], [4, 5]]],
670),
('normal control 4', [[[3, 3], [4, 4], [4, 3], [4, 4], [5, 7], [4, 4], [5, 7], [4, 4], [4, 3]]], 65)],
[('regression: bogey-free completion',
[[[5, 4], [3, 3], [4, 2], [4, 4], [4, 2], [4, 3], [5, 5], [4, 4], [4, 4]]], 245),
('partial repair probe: bogey-free completion',
[[[4, 3], [5, 5], [4, 3], [4, 3], [5, 4], [5, 4], [3, 2], [3, 2], [4, 4]]], 250),
('second regression', [[[3, 2], [4, 4], [5, 4], [4, 4], [4, 4], [3, 3], [5, 5], [4, 2], [5, 5]]], 170),
('normal control 1',
[[[4, 3], [4, 3], [4, 6], [4, 6], [5, 7], [5, 5], [3, 2], [4, 5], [4, 3], [4, 3], [5, 5], [3, 3], [3, 1],
[3, 5]]],
250),
('normal control 2',
[[[3, 5], [5, 5], [4, 6], [4, 4], [3, 2], [5, 5], [5, 4], [5, 4], [3, 2], [4, 4], [5, 7], [4, 2], [3, 4],
[3, 1], [4, 3], [4, 4], [4, 2], [4, 3]]],
540),
('normal control 3',
[[[3, 1], [3, 3], [5, 5], [4, 3], [4, 4], [3, 4], [4, 4], [5, 6], [3, 1], [4, 3], [4, 2], [3, 3], [4, 4],
[4, 5], [5, 4], [4, 4], [3, 3], [5, 7]]],
525),
('normal control 4',
[[[4, 4], [3, 2], [4, 4], [4, 1], [3, 3], [4, 3], [5, 4], [4, 4], [4, 2], [3, 3], [4, 3], [4, 4], [4, 4],
[5, 5], [4, 2], [4, 3], [5, 4], [4, 3]]],
700)]]
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: bogey-free completion | 125 | 95 | Failed |
| partial repair probe: bogey-free completion | 230 | 200 | Failed |
| second regression | 310 | 280 | Failed |
| normal control 1 | 125 | 125 | Passed |
| normal control 2 | 150 | 150 | Passed |
| normal control 3 | 220 | 220 | Passed |
| normal control 4 | 210 | 210 | Passed |
SHA-256 / 5c1fc3e914db082025de055221a05126f8bdf02a5549ccd2133c319ac21f746a
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(holes):
pts = 0
run = 0
streaks = 0
for par, strokes in holes:
d = strokes - par
if d <= -3:
pts += 130
elif d == -2:
pts += 80
elif d == -1:
pts += 30
elif d == 0:
pts += 5
elif d == 1:
pts -= 5
else:
pts -= 10
if strokes == 1:
pts += 50
if d < 0:
run += 1
if run == 3:
streaks += 1
else:
run = 0
pts += 30 * streaks
if len(holes) == 18 and all(s - p <= 0 for p, s in holes):
pts += 30
if len(holes) == 18 and sum(s for _, s in holes) < 70:
pts += 50
return pts
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: bogey-free completion',
[[[5, 5], [5, 4], [3, 3], [5, 5], [5, 5], [4, 4], [3, 3], [4, 3], [5, 5]]], 95),
('partial repair probe: bogey-free completion',
[[[3, 3], [4, 3], [3, 2], [4, 3], [4, 4], [3, 2], [4, 3], [3, 3], [5, 5]]], 200),
('second regression', [[[4, 3], [5, 4], [4, 3], [5, 5], [3, 3], [4, 3], [4, 3], [3, 2], [4, 3]]], 280),
('normal control 1',
[[[3, 3], [4, 6], [4, 4], [3, 3], [4, 4], [5, 6], [3, 3], [4, 4], [4, 6], [4, 5], [4, 4], [5, 5], [4, 4],
[4, 2], [4, 3], [4, 4], [4, 4], [3, 5]]],
125),
('normal control 2',
[[[3, 3], [3, 4], [5, 5], [4, 4], [3, 3], [5, 4], [3, 3], [4, 4], [4, 4], [4, 4], [3, 2], [4, 6], [4, 4],
[5, 5], [5, 5], [4, 6], [4, 3], [4, 3]]],
150),
('normal control 3',
[[[4, 4], [3, 3], [4, 3], [5, 5], [3, 3], [4, 2], [4, 4], [5, 6], [4, 4], [3, 2], [4, 4], [5, 7], [5, 4],
[4, 3]]],
220),
('normal control 4',
[[[4, 4], [4, 3], [5, 4], [4, 4], [4, 4], [4, 4], [5, 4], [4, 3], [4, 3], [4, 5], [3, 5], [5, 7], [4, 4],
[3, 2]]],
210)],
[('regression: bogey-free completion',
[[[4, 4], [3, 2], [3, 1], [4, 3], [5, 1], [4, 4], [5, 4], [4, 3], [4, 4]]], 475),
('partial repair probe: bogey-free completion',
[[[3, 1], [3, 3], [4, 4], [3, 2], [4, 1], [3, 3], [3, 3], [4, 4], [5, 5], [4, 2], [4, 4], [3, 3], [4, 4],
[5, 5]]],
470),
('second regression',
[[[3, 2], [4, 4], [3, 3], [5, 4], [3, 3], [3, 2], [4, 3], [4, 3], [3, 3], [4, 4], [3, 3], [4, 3], [4, 4],
[4, 3]]],
275),
('normal control 1',
[[[4, 4], [4, 3], [3, 3], [5, 5], [5, 5], [4, 2], [5, 5], [5, 5], [5, 4], [4, 3], [4, 4], [5, 5], [4, 4],
[3, 3], [3, 2], [3, 2], [3, 2], [3, 1]]],
550),
('normal control 2',
[[[4, 4], [4, 4], [3, 2], [4, 2], [5, 5], [5, 5], [4, 4], [4, 3], [4, 4], [4, 3], [4, 3], [4, 2], [4, 3],
[5, 4], [5, 5], [4, 4], [5, 5], [4, 3]]],
525),
('normal control 3',
[[[4, 5], [4, 2], [4, 4], [3, 2], [4, 4], [3, 1], [5, 5], [5, 5], [5, 5], [5, 5], [4, 4], [5, 7], [4, 2],
[4, 4], [4, 4], [3, 2], [5, 4], [3, 2]]],
520),
('normal control 4',
[[[5, 5], [3, 3], [4, 3], [4, 3], [4, 4], [5, 5], [5, 4], [5, 5], [5, 5], [4, 4], [5, 4], [4, 3], [4, 4],
[4, 4], [4, 3], [4, 3], [4, 4], [5, 5]]],
295)],
[('regression: bogey-free completion',
[[[3, 1], [5, 5], [4, 4], [4, 3], [5, 5], [4, 4], [3, 2], [4, 1], [3, 2], [4, 1], [4, 4], [3, 1], [4, 3],
[5, 5]]],
800),
('partial repair probe: bogey-free completion',
[[[5, 5], [4, 4], [4, 3], [3, 2], [4, 4], [5, 5], [5, 5], [5, 5], [4, 3], [5, 5], [4, 4], [4, 3], [3, 3],
[5, 5]]],
170),
('second regression',
[[[4, 4], [4, 3], [5, 4], [4, 2], [5, 4], [5, 4], [4, 3], [3, 3], [4, 4], [4, 4], [4, 1], [5, 5], [4, 4],
[3, 3]]],
475),
('normal control 1',
[[[5, 5], [4, 2], [4, 2], [4, 3], [3, 5], [5, 6], [4, 4], [4, 3], [4, 3], [5, 5], [5, 5], [3, 2], [4, 3],
[4, 3], [4, 5], [4, 5], [3, 2], [4, 3]]],
505),
('normal control 2',
[[[5, 5], [3, 1], [3, 3], [4, 4], [5, 4], [4, 1], [3, 1], [3, 3], [5, 4], [3, 3], [5, 4], [4, 3], [4, 4],
[3, 1], [3, 1], [3, 3], [3, 2], [4, 3]]],
1025),
('normal control 3',
[[[4, 3], [3, 2], [4, 4], [4, 4], [5, 4], [4, 3], [5, 5], [3, 3], [5, 3], [5, 4], [5, 5], [3, 3], [4, 3],
[4, 4], [5, 5], [5, 5], [4, 4], [3, 3]]],
395),
('normal control 4',
[[[4, 3], [4, 4], [3, 5], [4, 6], [4, 4], [4, 4], [4, 6], [4, 4], [3, 2], [5, 6], [4, 5], [3, 3], [4, 6],
[4, 4], [3, 2], [3, 2], [3, 3], [4, 6]]],
95)],
[('regression: bogey-free completion',
[[[4, 4], [4, 4], [5, 4], [4, 1], [4, 3], [5, 4], [5, 5], [5, 5], [4, 4]]], 325),
('partial repair probe: bogey-free completion',
[[[5, 4], [5, 4], [3, 3], [3, 2], [4, 2], [3, 2], [3, 3], [3, 1], [4, 4]]], 375),
('second regression',
[[[4, 4], [4, 4], [3, 2], [3, 3], [5, 5], [3, 2], [4, 2], [3, 2], [3, 3], [4, 4], [3, 3], [5, 5], [3, 3],
[4, 2]]],
325),
('normal control 1',
[[[5, 5], [3, 5], [4, 4], [4, 3], [5, 3], [4, 6], [5, 6], [4, 3], [5, 5], [5, 7], [5, 4], [4, 3], [4, 2],
[5, 4], [4, 4], [4, 3], [4, 4], [4, 3]]],
390),
('normal control 2',
[[[4, 4], [5, 5], [4, 4], [5, 5], [5, 5], [4, 4], [3, 3], [4, 4], [3, 1], [3, 2], [3, 3], [4, 4], [4, 3],
[4, 3], [3, 3], [5, 5], [3, 3], [4, 3]]],
395),
('normal control 3',
[[[5, 7], [4, 1], [4, 4], [4, 4], [3, 2], [5, 3], [4, 3], [4, 4], [5, 5], [3, 3], [5, 5], [4, 4], [4, 3],
[4, 4], [4, 4], [4, 3], [4, 1], [4, 5]]],
670),
('normal control 4', [[[3, 3], [4, 4], [4, 3], [4, 4], [5, 7], [4, 4], [5, 7], [4, 4], [4, 3]]], 65)],
[('regression: bogey-free completion',
[[[5, 4], [3, 3], [4, 2], [4, 4], [4, 2], [4, 3], [5, 5], [4, 4], [4, 4]]], 245),
('partial repair probe: bogey-free completion',
[[[4, 3], [5, 5], [4, 3], [4, 3], [5, 4], [5, 4], [3, 2], [3, 2], [4, 4]]], 250),
('second regression', [[[3, 2], [4, 4], [5, 4], [4, 4], [4, 4], [3, 3], [5, 5], [4, 2], [5, 5]]], 170),
('normal control 1',
[[[4, 3], [4, 3], [4, 6], [4, 6], [5, 7], [5, 5], [3, 2], [4, 5], [4, 3], [4, 3], [5, 5], [3, 3], [3, 1],
[3, 5]]],
250),
('normal control 2',
[[[3, 5], [5, 5], [4, 6], [4, 4], [3, 2], [5, 5], [5, 4], [5, 4], [3, 2], [4, 4], [5, 7], [4, 2], [3, 4],
[3, 1], [4, 3], [4, 4], [4, 2], [4, 3]]],
540),
('normal control 3',
[[[3, 1], [3, 3], [5, 5], [4, 3], [4, 4], [3, 4], [4, 4], [5, 6], [3, 1], [4, 3], [4, 2], [3, 3], [4, 4],
[4, 5], [5, 4], [4, 4], [3, 3], [5, 7]]],
525),
('normal control 4',
[[[4, 4], [3, 2], [4, 4], [4, 1], [3, 3], [4, 3], [5, 4], [4, 4], [4, 2], [3, 3], [4, 3], [4, 4], [4, 4],
[5, 5], [4, 2], [4, 3], [5, 4], [4, 3]]],
700)]]
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: bogey-free completion | 95 | 95 | Passed |
| partial repair probe: bogey-free completion | 200 | 200 | Passed |
| second regression | 280 | 280 | Passed |
| normal control 1 | 125 | 125 | Passed |
| normal control 2 | 150 | 150 | Passed |
| normal control 3 | 220 | 220 | Passed |
| normal control 4 | 210 | 210 | Passed |
SHA-256 / 68e669f392f2aa6b5b417973f19970ce173a9ab584d80dda524db947a4e4a794
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 2026-09-29T14:50:39.081507+00:00.
Case digest / 3ef10abb9a1c104180532ac27fc3add160c4adceb5082577984491b178c9d77a