FA-94071 / Shift rostering labor rules / Open access
Shift ending exactly at 19:00 flagged outside permitted hours · case 01
Compliant shifts ending at 19:00 are rejected.
ROOT CAUSE
The latest end comparison is inclusive.
VERIFIED REPAIR
Only ends after 19:00 violate the window.
Unsuccessful approach: Testing the start time against 19:00 misses shifts that run past it.
Case contract
Toy youth rule: age 16 or older has no restrictions. Otherwise each shift [day, start, end] must lie within 07:00-19:00 (start >= 420, end <= 1140); daily total minutes may not exceed 180 on a listed school day or 480 otherwise; the weekly total may not exceed 1080 if the week has any school day, else 2400. Return window violations in shift order, then daily caps by day, then the weekly cap as ["weekly_cap", -1].
Why this case matters
Minor-worker hour limits are strict roster constraints with many boundary conditions.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(age, shifts, school_days):
if age >= 16:
return []
out = []
per = {}
for d, st, en in shifts:
per[d] = per.get(d, 0) + en - st
if st < 420 or en >= 1140:
out.append(['hours_window', d])
for d in sorted(per):
cap = 180 if d in school_days else 480
if per[d] > cap:
out.append(['daily_cap', d])
week_cap = 1080 if school_days else 2400
if sum(per.values()) > week_cap:
out.append(['weekly_cap', -1])
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: evening end boundary 1', [15, [[5, 960, 1140]], []], []),
('regression variant: evening end boundary 2',
[15, [[5, 1020, 1140], [4, 900, 1200], [5, 1080, 1140], [2, 1020, 1201]], [1, 2, 4]],
[['hours_window', 4], ['hours_window', 2], ['daily_cap', 2], ['daily_cap', 4]]),
('partial repair guard 3', [14, [[6, 419, 539], [3, 1080, 1440], [4, 419, 659]], [0, 2, 3]],
[['hours_window', 6], ['hours_window', 3], ['hours_window', 4], ['daily_cap', 3]]),
('boundary control 4', [15, [[5, 960, 1141]], []], [['hours_window', 5]]),
('boundary control 5', [15, [[0, 900, 1081]], [0, 1, 2, 3, 4]], [['daily_cap', 0]]),
('normal control 6', [14, [[5, 900, 1080], [1, 1020, 1080], [6, 1080, 1440]], [1, 3, 4, 5, 6]],
[['hours_window', 6], ['daily_cap', 6]]),
('normal control 7',
[15, [[6, 1020, 1200], [4, 360, 540], [1, 1080, 1200], [5, 1080, 1261], [1, 960, 1140], [2, 360, 480]],
[]],
[['hours_window', 6], ['hours_window', 4], ['hours_window', 1], ['hours_window', 5], ['hours_window', 2]]),
('normal control 8',
[16, [[0, 420, 540], [6, 1080, 1261], [6, 419, 539], [1, 900, 1081], [1, 480, 540]], []], [])],
[('regression: evening end boundary 1',
[15, [[2, 900, 1020], [3, 900, 1020], [0, 1020, 1140]], [0, 1, 2, 4, 6]], []),
('regression variant: evening end boundary 2',
[14, [[5, 1080, 1140], [2, 420, 720], [3, 1020, 1080], [3, 1020, 1140], [1, 420, 900], [6, 900, 1020]],
[]],
[]),
('partial repair guard 3', [15, [[3, 1020, 1200], [1, 480, 660]], []], [['hours_window', 3]]),
('boundary control 4', [14, [[5, 480, 960], [6, 480, 960], [0, 900, 1080], [2, 900, 1080]], [0, 2]],
[['weekly_cap', -1]]),
('boundary control 5', [16, [[0, 300, 1300]], [0]], []),
('normal control 6', [16, [[5, 1020, 1200], [6, 1080, 1320], [4, 480, 780]], []], []),
('normal control 7',
[15, [[0, 1020, 1080], [6, 1020, 1260], [3, 1020, 1320], [6, 480, 660], [2, 480, 960]], []],
[['hours_window', 6], ['hours_window', 3]]),
('normal control 8', [15, [[3, 900, 1020], [5, 1080, 1200], [2, 900, 1200]], []],
[['hours_window', 5], ['hours_window', 2]])],
[('regression: evening end boundary 1',
[15, [[6, 360, 541], [1, 900, 960], [5, 480, 600], [1, 420, 660], [4, 900, 1020], [1, 1020, 1140]],
[0, 1, 4, 5]],
[['hours_window', 6], ['daily_cap', 1]]),
('regression variant: evening end boundary 2',
[15, [[3, 419, 719], [5, 360, 420], [3, 480, 780], [0, 1080, 1200], [6, 1020, 1140], [1, 480, 661]], []],
[['hours_window', 3], ['hours_window', 5], ['hours_window', 0], ['daily_cap', 3]]),
('partial repair guard 3',
[14, [[3, 960, 1141], [6, 1020, 1201], [2, 1080, 1260], [0, 1080, 1380], [6, 1080, 1320]], []],
[['hours_window', 3], ['hours_window', 6], ['hours_window', 2], ['hours_window', 0], ['hours_window', 6]]),
('boundary control 4', [15, [[5, 960, 1140]], []], []),
('boundary control 5', [15, [[0, 900, 1080]], [0, 1, 2, 3, 4]], []),
('normal control 6',
[15, [[0, 1020, 1200], [3, 1020, 1200], [1, 360, 540], [1, 420, 480], [4, 419, 599], [1, 900, 960]],
[0, 1, 2, 3, 6]],
[['hours_window', 0], ['hours_window', 3], ['hours_window', 1], ['hours_window', 4], ['daily_cap', 1]]),
('normal control 7', [15, [[1, 420, 480]], [0, 1, 2, 3, 5]], []),
('normal control 8', [15, [[5, 420, 540], [6, 420, 601]], [0, 1, 4, 5, 6]], [['daily_cap', 6]])],
[('regression: evening end boundary 1',
[14, [[4, 960, 1080], [3, 1080, 1380], [6, 420, 480], [6, 900, 1080], [1, 1020, 1140], [2, 420, 660]],
[0, 1, 3, 6]],
[['hours_window', 3], ['daily_cap', 3], ['daily_cap', 6]]),
('regression variant: evening end boundary 2',
[14, [[4, 1080, 1380], [6, 1020, 1140], [1, 1020, 1200], [6, 480, 540]], [0, 2, 3, 4, 6]],
[['hours_window', 4], ['hours_window', 1], ['daily_cap', 4]]),
('partial repair guard 3', [15, [[5, 480, 600], [2, 360, 540], [4, 960, 1260], [6, 419, 539]], []],
[['hours_window', 2], ['hours_window', 4], ['hours_window', 6]]),
('boundary control 4', [15, [[1, 900, 1000], [1, 1020, 1120]], [1]], [['daily_cap', 1]]),
('boundary control 5', [15, [[5, 960, 1141]], []], [['hours_window', 5]]),
('normal control 6', [16, [[2, 1080, 1140], [2, 360, 600]], []], []),
('normal control 7', [16, [[4, 480, 660], [5, 360, 840], [5, 420, 540], [5, 360, 420]], [0, 1, 2, 3, 4]],
[]),
('normal control 8',
[14, [[5, 960, 1141], [6, 1080, 1261], [0, 480, 780], [5, 360, 600], [6, 420, 601], [4, 960, 1080]],
[0, 1, 3, 6]],
[['hours_window', 5], ['hours_window', 6], ['hours_window', 5], ['daily_cap', 0], ['daily_cap', 6],
['weekly_cap', -1]])],
[('regression: evening end boundary 1', [14, [[5, 419, 659], [0, 900, 1140]], [1, 2, 5]],
[['hours_window', 5], ['daily_cap', 5]]),
('regression variant: evening end boundary 2',
[14, [[6, 1020, 1140], [3, 419, 479], [2, 480, 960], [4, 1020, 1320], [4, 1080, 1200], [1, 360, 540]],
[0, 1, 3, 4]],
[['hours_window', 3], ['hours_window', 4], ['hours_window', 4], ['hours_window', 1], ['daily_cap', 4],
['weekly_cap', -1]]),
('partial repair guard 3',
[15, [[3, 420, 660], [0, 960, 1141], [5, 360, 540], [5, 960, 1260], [3, 1080, 1260], [2, 1080, 1440]],
[0, 2, 4, 5, 6]],
[['hours_window', 0], ['hours_window', 5], ['hours_window', 5], ['hours_window', 3], ['hours_window', 2],
['daily_cap', 0], ['daily_cap', 2], ['daily_cap', 5], ['weekly_cap', -1]]),
('boundary control 4', [15, [[0, 900, 1081]], [0, 1, 2, 3, 4]], [['daily_cap', 0]]),
('boundary control 5', [14, [[5, 480, 960], [6, 480, 960], [0, 900, 1080], [2, 900, 1080]], [0, 2]],
[['weekly_cap', -1]]),
('normal control 6', [14, [[5, 900, 1080], [0, 960, 1200]], [0, 1, 3]],
[['hours_window', 0], ['daily_cap', 0]]),
('normal control 7',
[16, [[1, 420, 480], [0, 960, 1140], [0, 960, 1260], [3, 1020, 1201], [3, 900, 1080], [5, 1020, 1140]],
[0, 1, 2, 3, 5]],
[]),
('normal control 8',
[16, [[0, 900, 960], [5, 1020, 1201], [2, 960, 1200], [1, 960, 1440], [6, 960, 1260], [4, 420, 540]],
[2, 3, 4, 5, 6]],
[])]]
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: evening end boundary 1 | [['hours_window', 5]] | [] | Failed |
| regression variant: evening end boundary 2 | [['hours_window', 5], ['hours_window', 4], ['hours_window', 5], ['hours_window', 2], ['daily_cap', 2], ['daily_cap', 4]] | [['hours_window', 4], ['hours_window', 2], ['daily_cap', 2], ['daily_cap', 4]] | Failed |
| partial repair guard 3 | [['hours_window', 6], ['hours_window', 3], ['hours_window', 4], ['daily_cap', 3]] | [['hours_window', 6], ['hours_window', 3], ['hours_window', 4], ['daily_cap', 3]] | Passed |
| boundary control 4 | [['hours_window', 5]] | [['hours_window', 5]] | Passed |
| boundary control 5 | [['daily_cap', 0]] | [['daily_cap', 0]] | Passed |
| normal control 6 | [['hours_window', 6], ['daily_cap', 6]] | [['hours_window', 6], ['daily_cap', 6]] | Passed |
| normal control 7 | [['hours_window', 6], ['hours_window', 4], ['hours_window', 1], ['hours_window', 5], ['hours_window', 1], ['hours_window', 2]] | [['hours_window', 6], ['hours_window', 4], ['hours_window', 1], ['hours_window', 5], ['hours_window', 2]] | Failed |
| normal control 8 | [] | [] | Passed |
SHA-256 / 519bacbb33eecb17444e2f47f2c2bce219102a62473b73ee7544b81f0e441412
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(age, shifts, school_days):
if age >= 16:
return []
out = []
per = {}
for d, st, en in shifts:
per[d] = per.get(d, 0) + en - st
if st < 420 or st > 1140:
out.append(['hours_window', d])
for d in sorted(per):
cap = 180 if d in school_days else 480
if per[d] > cap:
out.append(['daily_cap', d])
week_cap = 1080 if school_days else 2400
if sum(per.values()) > week_cap:
out.append(['weekly_cap', -1])
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: evening end boundary 1', [15, [[5, 960, 1140]], []], []),
('regression variant: evening end boundary 2',
[15, [[5, 1020, 1140], [4, 900, 1200], [5, 1080, 1140], [2, 1020, 1201]], [1, 2, 4]],
[['hours_window', 4], ['hours_window', 2], ['daily_cap', 2], ['daily_cap', 4]]),
('partial repair guard 3', [14, [[6, 419, 539], [3, 1080, 1440], [4, 419, 659]], [0, 2, 3]],
[['hours_window', 6], ['hours_window', 3], ['hours_window', 4], ['daily_cap', 3]]),
('boundary control 4', [15, [[5, 960, 1141]], []], [['hours_window', 5]]),
('boundary control 5', [15, [[0, 900, 1081]], [0, 1, 2, 3, 4]], [['daily_cap', 0]]),
('normal control 6', [14, [[5, 900, 1080], [1, 1020, 1080], [6, 1080, 1440]], [1, 3, 4, 5, 6]],
[['hours_window', 6], ['daily_cap', 6]]),
('normal control 7',
[15, [[6, 1020, 1200], [4, 360, 540], [1, 1080, 1200], [5, 1080, 1261], [1, 960, 1140], [2, 360, 480]],
[]],
[['hours_window', 6], ['hours_window', 4], ['hours_window', 1], ['hours_window', 5], ['hours_window', 2]]),
('normal control 8',
[16, [[0, 420, 540], [6, 1080, 1261], [6, 419, 539], [1, 900, 1081], [1, 480, 540]], []], [])],
[('regression: evening end boundary 1',
[15, [[2, 900, 1020], [3, 900, 1020], [0, 1020, 1140]], [0, 1, 2, 4, 6]], []),
('regression variant: evening end boundary 2',
[14, [[5, 1080, 1140], [2, 420, 720], [3, 1020, 1080], [3, 1020, 1140], [1, 420, 900], [6, 900, 1020]],
[]],
[]),
('partial repair guard 3', [15, [[3, 1020, 1200], [1, 480, 660]], []], [['hours_window', 3]]),
('boundary control 4', [14, [[5, 480, 960], [6, 480, 960], [0, 900, 1080], [2, 900, 1080]], [0, 2]],
[['weekly_cap', -1]]),
('boundary control 5', [16, [[0, 300, 1300]], [0]], []),
('normal control 6', [16, [[5, 1020, 1200], [6, 1080, 1320], [4, 480, 780]], []], []),
('normal control 7',
[15, [[0, 1020, 1080], [6, 1020, 1260], [3, 1020, 1320], [6, 480, 660], [2, 480, 960]], []],
[['hours_window', 6], ['hours_window', 3]]),
('normal control 8', [15, [[3, 900, 1020], [5, 1080, 1200], [2, 900, 1200]], []],
[['hours_window', 5], ['hours_window', 2]])],
[('regression: evening end boundary 1',
[15, [[6, 360, 541], [1, 900, 960], [5, 480, 600], [1, 420, 660], [4, 900, 1020], [1, 1020, 1140]],
[0, 1, 4, 5]],
[['hours_window', 6], ['daily_cap', 1]]),
('regression variant: evening end boundary 2',
[15, [[3, 419, 719], [5, 360, 420], [3, 480, 780], [0, 1080, 1200], [6, 1020, 1140], [1, 480, 661]], []],
[['hours_window', 3], ['hours_window', 5], ['hours_window', 0], ['daily_cap', 3]]),
('partial repair guard 3',
[14, [[3, 960, 1141], [6, 1020, 1201], [2, 1080, 1260], [0, 1080, 1380], [6, 1080, 1320]], []],
[['hours_window', 3], ['hours_window', 6], ['hours_window', 2], ['hours_window', 0], ['hours_window', 6]]),
('boundary control 4', [15, [[5, 960, 1140]], []], []),
('boundary control 5', [15, [[0, 900, 1080]], [0, 1, 2, 3, 4]], []),
('normal control 6',
[15, [[0, 1020, 1200], [3, 1020, 1200], [1, 360, 540], [1, 420, 480], [4, 419, 599], [1, 900, 960]],
[0, 1, 2, 3, 6]],
[['hours_window', 0], ['hours_window', 3], ['hours_window', 1], ['hours_window', 4], ['daily_cap', 1]]),
('normal control 7', [15, [[1, 420, 480]], [0, 1, 2, 3, 5]], []),
('normal control 8', [15, [[5, 420, 540], [6, 420, 601]], [0, 1, 4, 5, 6]], [['daily_cap', 6]])],
[('regression: evening end boundary 1',
[14, [[4, 960, 1080], [3, 1080, 1380], [6, 420, 480], [6, 900, 1080], [1, 1020, 1140], [2, 420, 660]],
[0, 1, 3, 6]],
[['hours_window', 3], ['daily_cap', 3], ['daily_cap', 6]]),
('regression variant: evening end boundary 2',
[14, [[4, 1080, 1380], [6, 1020, 1140], [1, 1020, 1200], [6, 480, 540]], [0, 2, 3, 4, 6]],
[['hours_window', 4], ['hours_window', 1], ['daily_cap', 4]]),
('partial repair guard 3', [15, [[5, 480, 600], [2, 360, 540], [4, 960, 1260], [6, 419, 539]], []],
[['hours_window', 2], ['hours_window', 4], ['hours_window', 6]]),
('boundary control 4', [15, [[1, 900, 1000], [1, 1020, 1120]], [1]], [['daily_cap', 1]]),
('boundary control 5', [15, [[5, 960, 1141]], []], [['hours_window', 5]]),
('normal control 6', [16, [[2, 1080, 1140], [2, 360, 600]], []], []),
('normal control 7', [16, [[4, 480, 660], [5, 360, 840], [5, 420, 540], [5, 360, 420]], [0, 1, 2, 3, 4]],
[]),
('normal control 8',
[14, [[5, 960, 1141], [6, 1080, 1261], [0, 480, 780], [5, 360, 600], [6, 420, 601], [4, 960, 1080]],
[0, 1, 3, 6]],
[['hours_window', 5], ['hours_window', 6], ['hours_window', 5], ['daily_cap', 0], ['daily_cap', 6],
['weekly_cap', -1]])],
[('regression: evening end boundary 1', [14, [[5, 419, 659], [0, 900, 1140]], [1, 2, 5]],
[['hours_window', 5], ['daily_cap', 5]]),
('regression variant: evening end boundary 2',
[14, [[6, 1020, 1140], [3, 419, 479], [2, 480, 960], [4, 1020, 1320], [4, 1080, 1200], [1, 360, 540]],
[0, 1, 3, 4]],
[['hours_window', 3], ['hours_window', 4], ['hours_window', 4], ['hours_window', 1], ['daily_cap', 4],
['weekly_cap', -1]]),
('partial repair guard 3',
[15, [[3, 420, 660], [0, 960, 1141], [5, 360, 540], [5, 960, 1260], [3, 1080, 1260], [2, 1080, 1440]],
[0, 2, 4, 5, 6]],
[['hours_window', 0], ['hours_window', 5], ['hours_window', 5], ['hours_window', 3], ['hours_window', 2],
['daily_cap', 0], ['daily_cap', 2], ['daily_cap', 5], ['weekly_cap', -1]]),
('boundary control 4', [15, [[0, 900, 1081]], [0, 1, 2, 3, 4]], [['daily_cap', 0]]),
('boundary control 5', [14, [[5, 480, 960], [6, 480, 960], [0, 900, 1080], [2, 900, 1080]], [0, 2]],
[['weekly_cap', -1]]),
('normal control 6', [14, [[5, 900, 1080], [0, 960, 1200]], [0, 1, 3]],
[['hours_window', 0], ['daily_cap', 0]]),
('normal control 7',
[16, [[1, 420, 480], [0, 960, 1140], [0, 960, 1260], [3, 1020, 1201], [3, 900, 1080], [5, 1020, 1140]],
[0, 1, 2, 3, 5]],
[]),
('normal control 8',
[16, [[0, 900, 960], [5, 1020, 1201], [2, 960, 1200], [1, 960, 1440], [6, 960, 1260], [4, 420, 540]],
[2, 3, 4, 5, 6]],
[])]]
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: evening end boundary 1 | [] | [] | Passed |
| regression variant: evening end boundary 2 | [['daily_cap', 2], ['daily_cap', 4]] | [['hours_window', 4], ['hours_window', 2], ['daily_cap', 2], ['daily_cap', 4]] | Failed |
| partial repair guard 3 | [['hours_window', 6], ['hours_window', 4], ['daily_cap', 3]] | [['hours_window', 6], ['hours_window', 3], ['hours_window', 4], ['daily_cap', 3]] | Failed |
| boundary control 4 | [] | [['hours_window', 5]] | Failed |
| boundary control 5 | [['daily_cap', 0]] | [['daily_cap', 0]] | Passed |
| normal control 6 | [['daily_cap', 6]] | [['hours_window', 6], ['daily_cap', 6]] | Failed |
| normal control 7 | [['hours_window', 4], ['hours_window', 2]] | [['hours_window', 6], ['hours_window', 4], ['hours_window', 1], ['hours_window', 5], ['hours_window', 2]] | Failed |
| normal control 8 | [] | [] | Passed |
SHA-256 / 4d31f62f19cea951e49b014bf5538cf65844c1fe277e498b408a4167aff432d6
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(age, shifts, school_days):
if age >= 16:
return []
out = []
per = {}
for d, st, en in shifts:
per[d] = per.get(d, 0) + en - st
if st < 420 or en > 1140:
out.append(['hours_window', d])
for d in sorted(per):
cap = 180 if d in school_days else 480
if per[d] > cap:
out.append(['daily_cap', d])
week_cap = 1080 if school_days else 2400
if sum(per.values()) > week_cap:
out.append(['weekly_cap', -1])
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: evening end boundary 1', [15, [[5, 960, 1140]], []], []),
('regression variant: evening end boundary 2',
[15, [[5, 1020, 1140], [4, 900, 1200], [5, 1080, 1140], [2, 1020, 1201]], [1, 2, 4]],
[['hours_window', 4], ['hours_window', 2], ['daily_cap', 2], ['daily_cap', 4]]),
('partial repair guard 3', [14, [[6, 419, 539], [3, 1080, 1440], [4, 419, 659]], [0, 2, 3]],
[['hours_window', 6], ['hours_window', 3], ['hours_window', 4], ['daily_cap', 3]]),
('boundary control 4', [15, [[5, 960, 1141]], []], [['hours_window', 5]]),
('boundary control 5', [15, [[0, 900, 1081]], [0, 1, 2, 3, 4]], [['daily_cap', 0]]),
('normal control 6', [14, [[5, 900, 1080], [1, 1020, 1080], [6, 1080, 1440]], [1, 3, 4, 5, 6]],
[['hours_window', 6], ['daily_cap', 6]]),
('normal control 7',
[15, [[6, 1020, 1200], [4, 360, 540], [1, 1080, 1200], [5, 1080, 1261], [1, 960, 1140], [2, 360, 480]],
[]],
[['hours_window', 6], ['hours_window', 4], ['hours_window', 1], ['hours_window', 5], ['hours_window', 2]]),
('normal control 8',
[16, [[0, 420, 540], [6, 1080, 1261], [6, 419, 539], [1, 900, 1081], [1, 480, 540]], []], [])],
[('regression: evening end boundary 1',
[15, [[2, 900, 1020], [3, 900, 1020], [0, 1020, 1140]], [0, 1, 2, 4, 6]], []),
('regression variant: evening end boundary 2',
[14, [[5, 1080, 1140], [2, 420, 720], [3, 1020, 1080], [3, 1020, 1140], [1, 420, 900], [6, 900, 1020]],
[]],
[]),
('partial repair guard 3', [15, [[3, 1020, 1200], [1, 480, 660]], []], [['hours_window', 3]]),
('boundary control 4', [14, [[5, 480, 960], [6, 480, 960], [0, 900, 1080], [2, 900, 1080]], [0, 2]],
[['weekly_cap', -1]]),
('boundary control 5', [16, [[0, 300, 1300]], [0]], []),
('normal control 6', [16, [[5, 1020, 1200], [6, 1080, 1320], [4, 480, 780]], []], []),
('normal control 7',
[15, [[0, 1020, 1080], [6, 1020, 1260], [3, 1020, 1320], [6, 480, 660], [2, 480, 960]], []],
[['hours_window', 6], ['hours_window', 3]]),
('normal control 8', [15, [[3, 900, 1020], [5, 1080, 1200], [2, 900, 1200]], []],
[['hours_window', 5], ['hours_window', 2]])],
[('regression: evening end boundary 1',
[15, [[6, 360, 541], [1, 900, 960], [5, 480, 600], [1, 420, 660], [4, 900, 1020], [1, 1020, 1140]],
[0, 1, 4, 5]],
[['hours_window', 6], ['daily_cap', 1]]),
('regression variant: evening end boundary 2',
[15, [[3, 419, 719], [5, 360, 420], [3, 480, 780], [0, 1080, 1200], [6, 1020, 1140], [1, 480, 661]], []],
[['hours_window', 3], ['hours_window', 5], ['hours_window', 0], ['daily_cap', 3]]),
('partial repair guard 3',
[14, [[3, 960, 1141], [6, 1020, 1201], [2, 1080, 1260], [0, 1080, 1380], [6, 1080, 1320]], []],
[['hours_window', 3], ['hours_window', 6], ['hours_window', 2], ['hours_window', 0], ['hours_window', 6]]),
('boundary control 4', [15, [[5, 960, 1140]], []], []),
('boundary control 5', [15, [[0, 900, 1080]], [0, 1, 2, 3, 4]], []),
('normal control 6',
[15, [[0, 1020, 1200], [3, 1020, 1200], [1, 360, 540], [1, 420, 480], [4, 419, 599], [1, 900, 960]],
[0, 1, 2, 3, 6]],
[['hours_window', 0], ['hours_window', 3], ['hours_window', 1], ['hours_window', 4], ['daily_cap', 1]]),
('normal control 7', [15, [[1, 420, 480]], [0, 1, 2, 3, 5]], []),
('normal control 8', [15, [[5, 420, 540], [6, 420, 601]], [0, 1, 4, 5, 6]], [['daily_cap', 6]])],
[('regression: evening end boundary 1',
[14, [[4, 960, 1080], [3, 1080, 1380], [6, 420, 480], [6, 900, 1080], [1, 1020, 1140], [2, 420, 660]],
[0, 1, 3, 6]],
[['hours_window', 3], ['daily_cap', 3], ['daily_cap', 6]]),
('regression variant: evening end boundary 2',
[14, [[4, 1080, 1380], [6, 1020, 1140], [1, 1020, 1200], [6, 480, 540]], [0, 2, 3, 4, 6]],
[['hours_window', 4], ['hours_window', 1], ['daily_cap', 4]]),
('partial repair guard 3', [15, [[5, 480, 600], [2, 360, 540], [4, 960, 1260], [6, 419, 539]], []],
[['hours_window', 2], ['hours_window', 4], ['hours_window', 6]]),
('boundary control 4', [15, [[1, 900, 1000], [1, 1020, 1120]], [1]], [['daily_cap', 1]]),
('boundary control 5', [15, [[5, 960, 1141]], []], [['hours_window', 5]]),
('normal control 6', [16, [[2, 1080, 1140], [2, 360, 600]], []], []),
('normal control 7', [16, [[4, 480, 660], [5, 360, 840], [5, 420, 540], [5, 360, 420]], [0, 1, 2, 3, 4]],
[]),
('normal control 8',
[14, [[5, 960, 1141], [6, 1080, 1261], [0, 480, 780], [5, 360, 600], [6, 420, 601], [4, 960, 1080]],
[0, 1, 3, 6]],
[['hours_window', 5], ['hours_window', 6], ['hours_window', 5], ['daily_cap', 0], ['daily_cap', 6],
['weekly_cap', -1]])],
[('regression: evening end boundary 1', [14, [[5, 419, 659], [0, 900, 1140]], [1, 2, 5]],
[['hours_window', 5], ['daily_cap', 5]]),
('regression variant: evening end boundary 2',
[14, [[6, 1020, 1140], [3, 419, 479], [2, 480, 960], [4, 1020, 1320], [4, 1080, 1200], [1, 360, 540]],
[0, 1, 3, 4]],
[['hours_window', 3], ['hours_window', 4], ['hours_window', 4], ['hours_window', 1], ['daily_cap', 4],
['weekly_cap', -1]]),
('partial repair guard 3',
[15, [[3, 420, 660], [0, 960, 1141], [5, 360, 540], [5, 960, 1260], [3, 1080, 1260], [2, 1080, 1440]],
[0, 2, 4, 5, 6]],
[['hours_window', 0], ['hours_window', 5], ['hours_window', 5], ['hours_window', 3], ['hours_window', 2],
['daily_cap', 0], ['daily_cap', 2], ['daily_cap', 5], ['weekly_cap', -1]]),
('boundary control 4', [15, [[0, 900, 1081]], [0, 1, 2, 3, 4]], [['daily_cap', 0]]),
('boundary control 5', [14, [[5, 480, 960], [6, 480, 960], [0, 900, 1080], [2, 900, 1080]], [0, 2]],
[['weekly_cap', -1]]),
('normal control 6', [14, [[5, 900, 1080], [0, 960, 1200]], [0, 1, 3]],
[['hours_window', 0], ['daily_cap', 0]]),
('normal control 7',
[16, [[1, 420, 480], [0, 960, 1140], [0, 960, 1260], [3, 1020, 1201], [3, 900, 1080], [5, 1020, 1140]],
[0, 1, 2, 3, 5]],
[]),
('normal control 8',
[16, [[0, 900, 960], [5, 1020, 1201], [2, 960, 1200], [1, 960, 1440], [6, 960, 1260], [4, 420, 540]],
[2, 3, 4, 5, 6]],
[])]]
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: evening end boundary 1 | [] | [] | Passed |
| regression variant: evening end boundary 2 | [['hours_window', 4], ['hours_window', 2], ['daily_cap', 2], ['daily_cap', 4]] | [['hours_window', 4], ['hours_window', 2], ['daily_cap', 2], ['daily_cap', 4]] | Passed |
| partial repair guard 3 | [['hours_window', 6], ['hours_window', 3], ['hours_window', 4], ['daily_cap', 3]] | [['hours_window', 6], ['hours_window', 3], ['hours_window', 4], ['daily_cap', 3]] | Passed |
| boundary control 4 | [['hours_window', 5]] | [['hours_window', 5]] | Passed |
| boundary control 5 | [['daily_cap', 0]] | [['daily_cap', 0]] | Passed |
| normal control 6 | [['hours_window', 6], ['daily_cap', 6]] | [['hours_window', 6], ['daily_cap', 6]] | Passed |
| normal control 7 | [['hours_window', 6], ['hours_window', 4], ['hours_window', 1], ['hours_window', 5], ['hours_window', 2]] | [['hours_window', 6], ['hours_window', 4], ['hours_window', 1], ['hours_window', 5], ['hours_window', 2]] | Passed |
| normal control 8 | [] | [] | Passed |
SHA-256 / acb8550264651813614b7b2bd3a8a2f743496d952ee9f83be79b6cbd78a459c4
Verification & scope
Stipulated toy labor rule for a bounded roster model; it is not legal advice and does not claim conformance with any jurisdiction, award, or collective agreement. 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 2026-09-29T14:52:00.889031+00:00.
Case digest / 62d9f5d376a4e2c457332597fad6b7aa539e20b9aa2109da16a1b731f80f37ea