FAILURE MAP
← Case archive

FA-94266 / Shift rostering labor rules / Open access

Average exactly at the limit flagged · case 01

A worker averaging exactly 48 hours is treated as in breach.

Verified by executionVariant 1 · 8 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The limit comparison is inclusive.

VERIFIED REPAIR

Only an average above the limit is a breach.

Unsuccessful approach: Comparing the total against limit * ref misjudges short records.

Case contract

Weeks [worked minutes, excluded leave/sick days]. The reference period needs ref counted weeks: weeks with any excluded day are skipped and replaced by following weeks. If fewer weeks are available, average the counted weeks. Return [counted weeks, floor average, average > limit] or [0, 0, False] when none count.

Why this case matters

Averaged weekly-hours limits require excluding leave weeks and extending the reference period.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(weeks, ref, limit):
    counted = []
    for m, ex in weeks:
        if len(counted) == ref:
            break
        if ex == 0:
            counted.append(m)
    if not counted:
        return [0, 0, False]
    avg = sum(counted) // len(counted)
    return [len(counted), avg, avg >= limit]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: limit comparison 1', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),
  ('regression variant: limit comparison 2', [[[2880, 0], [2881, 0], [3300, 3], [2880, 1]], 5, 2880],
   [2, 2880, False]),
  ('partial repair guard 3', [[[3300, 0], [0, 1], [3000, 0]], 5, 2880], [2, 3150, True]),
  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),
  ('normal control 5', [[[0, 0], [2880, 0], [3000, 3], [3300, 0]], 3, 2880], [3, 2060, False]),
  ('normal control 6', [[[0, 0], [2400, 0], [0, 1], [2881, 3]], 5, 2880], [2, 1200, False]),
  ('normal control 7', [[[2881, 5], [2400, 3], [2881, 1], [0, 5]], 4, 2880], [0, 0, False]),
  ('normal control 8', [[[0, 3], [1800, 0], [0, 7], [2880, 3], [1800, 7]], 4, 2880], [1, 1800, False])],
 [('regression: limit comparison 1',
   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],
   [2, 2880, False]),
  ('regression variant: limit comparison 2', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),
  ('partial repair guard 3', [[[3300, 0], [1800, 3], [0, 5]], 3, 2880], [1, 3300, True]),
  ('boundary control 4', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),
  ('boundary control 5', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),
  ('normal control 6',
   [[[3300, 0], [3300, 5], [2881, 1], [2881, 0], [2881, 0], [2400, 1], [2400, 3], [0, 5]], 4, 2880],
   [3, 3020, True]),
  ('normal control 7', [[[2400, 3], [2400, 0], [3300, 1], [3300, 0], [1800, 1]], 5, 2880], [2, 2850, False]),
  ('normal control 8',
   [[[3300, 7], [3300, 1], [2881, 0], [0, 7], [1800, 7], [1800, 0], [0, 3], [3300, 0]], 3, 2880],
   [3, 2660, False])],
 [('regression: limit comparison 1', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),
  ('regression variant: limit comparison 2',
   [[[1800, 3], [3000, 5], [2880, 0], [3000, 1], [1800, 5], [2880, 1]], 5, 2880], [1, 2880, False]),
  ('partial repair guard 3', [[[3300, 0], [3300, 0], [2880, 0], [2400, 3], [2400, 7]], 4, 2880],
   [3, 3160, True]),
  ('boundary control 4', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),
  ('boundary control 5', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),
  ('normal control 6', [[[3000, 5], [2881, 1], [3000, 0], [3000, 5], [2881, 0]], 5, 2880], [2, 2940, True]),
  ('normal control 7',
   [[[3000, 0], [2400, 0], [3000, 0], [2880, 0], [2880, 7], [3300, 1], [0, 1], [2400, 5], [3300, 7]], 4,
    2880],
   [4, 2820, False]),
  ('normal control 8', [[[1800, 0], [3300, 3], [1800, 7], [2880, 0]], 5, 2880], [2, 2340, False])],
 [('regression: limit comparison 1', [[[0, 7], [2880, 0], [2880, 1]], 5, 2880], [1, 2880, False]),
  ('regression variant: limit comparison 2',
   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],
   [2, 2880, False]),
  ('partial repair guard 3', [[[3300, 5], [3000, 7], [2880, 1], [2881, 0], [3300, 0]], 5, 2880],
   [2, 3090, True]),
  ('boundary control 4', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),
  ('boundary control 5', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),
  ('normal control 6',
   [[[3000, 5], [2400, 0], [3300, 0], [3300, 1], [1800, 3], [3300, 7], [2880, 5], [0, 3]], 4, 2880],
   [2, 2850, False]),
  ('normal control 7', [[[3000, 5], [3000, 1], [1800, 7], [2881, 0], [0, 5]], 4, 2880], [1, 2881, True]),
  ('normal control 8', [[[2880, 1], [3300, 0], [3300, 3], [2881, 7], [0, 5]], 3, 2880], [1, 3300, True])],
 [('regression: limit comparison 1', [[[2400, 7], [0, 1], [3000, 3], [2880, 0]], 3, 2880], [1, 2880, False]),
  ('regression variant: limit comparison 2', [[[2881, 7], [2880, 0], [2400, 3], [2880, 3]], 3, 2880],
   [1, 2880, False]),
  ('partial repair guard 3', [[[3000, 3], [2881, 0], [3300, 5], [2400, 5], [2881, 3]], 3, 2880],
   [1, 2881, True]),
  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),
  ('boundary control 5', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),
  ('normal control 6', [[[3000, 0], [3300, 5], [0, 3]], 4, 2880], [1, 3000, True]),
  ('normal control 7', [[[2881, 0], [2400, 1], [0, 0], [3300, 7], [3000, 1], [2881, 5], [2881, 1]], 4, 2880],
   [2, 1440, False]),
  ('normal control 8', [[[0, 7], [1800, 7], [2400, 0], [2400, 7], [2400, 0], [1800, 5], [2400, 5]], 5, 2880],
   [2, 2400, False])]]
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 fixtureActualExpectedOutcome
regression: limit comparison 1[3, 2880, True][3, 2880, False]Failed
regression variant: limit comparison 2[2, 2880, True][2, 2880, False]Failed
partial repair guard 3[2, 3150, True][2, 3150, True]Passed
boundary control 4[1, 3000, True][1, 3000, True]Passed
normal control 5[3, 2060, False][3, 2060, False]Passed
normal control 6[2, 1200, False][2, 1200, False]Passed
normal control 7[0, 0, False][0, 0, False]Passed
normal control 8[1, 1800, False][1, 1800, False]Passed

SHA-256 / dc025bf0c6ea1cf35ac5b133f9c1dce41d29c5bc351214696b46b10cf23975d1

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(weeks, ref, limit):
    counted = []
    for m, ex in weeks:
        if len(counted) == ref:
            break
        if ex == 0:
            counted.append(m)
    if not counted:
        return [0, 0, False]
    avg = sum(counted) // len(counted)
    return [len(counted), avg, sum(counted) > limit * ref]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: limit comparison 1', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),
  ('regression variant: limit comparison 2', [[[2880, 0], [2881, 0], [3300, 3], [2880, 1]], 5, 2880],
   [2, 2880, False]),
  ('partial repair guard 3', [[[3300, 0], [0, 1], [3000, 0]], 5, 2880], [2, 3150, True]),
  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),
  ('normal control 5', [[[0, 0], [2880, 0], [3000, 3], [3300, 0]], 3, 2880], [3, 2060, False]),
  ('normal control 6', [[[0, 0], [2400, 0], [0, 1], [2881, 3]], 5, 2880], [2, 1200, False]),
  ('normal control 7', [[[2881, 5], [2400, 3], [2881, 1], [0, 5]], 4, 2880], [0, 0, False]),
  ('normal control 8', [[[0, 3], [1800, 0], [0, 7], [2880, 3], [1800, 7]], 4, 2880], [1, 1800, False])],
 [('regression: limit comparison 1',
   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],
   [2, 2880, False]),
  ('regression variant: limit comparison 2', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),
  ('partial repair guard 3', [[[3300, 0], [1800, 3], [0, 5]], 3, 2880], [1, 3300, True]),
  ('boundary control 4', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),
  ('boundary control 5', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),
  ('normal control 6',
   [[[3300, 0], [3300, 5], [2881, 1], [2881, 0], [2881, 0], [2400, 1], [2400, 3], [0, 5]], 4, 2880],
   [3, 3020, True]),
  ('normal control 7', [[[2400, 3], [2400, 0], [3300, 1], [3300, 0], [1800, 1]], 5, 2880], [2, 2850, False]),
  ('normal control 8',
   [[[3300, 7], [3300, 1], [2881, 0], [0, 7], [1800, 7], [1800, 0], [0, 3], [3300, 0]], 3, 2880],
   [3, 2660, False])],
 [('regression: limit comparison 1', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),
  ('regression variant: limit comparison 2',
   [[[1800, 3], [3000, 5], [2880, 0], [3000, 1], [1800, 5], [2880, 1]], 5, 2880], [1, 2880, False]),
  ('partial repair guard 3', [[[3300, 0], [3300, 0], [2880, 0], [2400, 3], [2400, 7]], 4, 2880],
   [3, 3160, True]),
  ('boundary control 4', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),
  ('boundary control 5', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),
  ('normal control 6', [[[3000, 5], [2881, 1], [3000, 0], [3000, 5], [2881, 0]], 5, 2880], [2, 2940, True]),
  ('normal control 7',
   [[[3000, 0], [2400, 0], [3000, 0], [2880, 0], [2880, 7], [3300, 1], [0, 1], [2400, 5], [3300, 7]], 4,
    2880],
   [4, 2820, False]),
  ('normal control 8', [[[1800, 0], [3300, 3], [1800, 7], [2880, 0]], 5, 2880], [2, 2340, False])],
 [('regression: limit comparison 1', [[[0, 7], [2880, 0], [2880, 1]], 5, 2880], [1, 2880, False]),
  ('regression variant: limit comparison 2',
   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],
   [2, 2880, False]),
  ('partial repair guard 3', [[[3300, 5], [3000, 7], [2880, 1], [2881, 0], [3300, 0]], 5, 2880],
   [2, 3090, True]),
  ('boundary control 4', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),
  ('boundary control 5', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),
  ('normal control 6',
   [[[3000, 5], [2400, 0], [3300, 0], [3300, 1], [1800, 3], [3300, 7], [2880, 5], [0, 3]], 4, 2880],
   [2, 2850, False]),
  ('normal control 7', [[[3000, 5], [3000, 1], [1800, 7], [2881, 0], [0, 5]], 4, 2880], [1, 2881, True]),
  ('normal control 8', [[[2880, 1], [3300, 0], [3300, 3], [2881, 7], [0, 5]], 3, 2880], [1, 3300, True])],
 [('regression: limit comparison 1', [[[2400, 7], [0, 1], [3000, 3], [2880, 0]], 3, 2880], [1, 2880, False]),
  ('regression variant: limit comparison 2', [[[2881, 7], [2880, 0], [2400, 3], [2880, 3]], 3, 2880],
   [1, 2880, False]),
  ('partial repair guard 3', [[[3000, 3], [2881, 0], [3300, 5], [2400, 5], [2881, 3]], 3, 2880],
   [1, 2881, True]),
  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),
  ('boundary control 5', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),
  ('normal control 6', [[[3000, 0], [3300, 5], [0, 3]], 4, 2880], [1, 3000, True]),
  ('normal control 7', [[[2881, 0], [2400, 1], [0, 0], [3300, 7], [3000, 1], [2881, 5], [2881, 1]], 4, 2880],
   [2, 1440, False]),
  ('normal control 8', [[[0, 7], [1800, 7], [2400, 0], [2400, 7], [2400, 0], [1800, 5], [2400, 5]], 5, 2880],
   [2, 2400, False])]]
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 fixtureActualExpectedOutcome
regression: limit comparison 1[3, 2880, False][3, 2880, False]Passed
regression variant: limit comparison 2[2, 2880, False][2, 2880, False]Passed
partial repair guard 3[2, 3150, False][2, 3150, True]Failed
boundary control 4[1, 3000, False][1, 3000, True]Failed
normal control 5[3, 2060, False][3, 2060, False]Passed
normal control 6[2, 1200, False][2, 1200, False]Passed
normal control 7[0, 0, False][0, 0, False]Passed
normal control 8[1, 1800, False][1, 1800, False]Passed

SHA-256 / 5e3124dfa9a115450f65f6bda77b3378538c5bb8bcd72ffce90778bc9e9cd1b7

3 / The verified repair

Exit 0
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(weeks, ref, limit):
    counted = []
    for m, ex in weeks:
        if len(counted) == ref:
            break
        if ex == 0:
            counted.append(m)
    if not counted:
        return [0, 0, False]
    avg = sum(counted) // len(counted)
    return [len(counted), avg, avg > limit]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: limit comparison 1', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),
  ('regression variant: limit comparison 2', [[[2880, 0], [2881, 0], [3300, 3], [2880, 1]], 5, 2880],
   [2, 2880, False]),
  ('partial repair guard 3', [[[3300, 0], [0, 1], [3000, 0]], 5, 2880], [2, 3150, True]),
  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),
  ('normal control 5', [[[0, 0], [2880, 0], [3000, 3], [3300, 0]], 3, 2880], [3, 2060, False]),
  ('normal control 6', [[[0, 0], [2400, 0], [0, 1], [2881, 3]], 5, 2880], [2, 1200, False]),
  ('normal control 7', [[[2881, 5], [2400, 3], [2881, 1], [0, 5]], 4, 2880], [0, 0, False]),
  ('normal control 8', [[[0, 3], [1800, 0], [0, 7], [2880, 3], [1800, 7]], 4, 2880], [1, 1800, False])],
 [('regression: limit comparison 1',
   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],
   [2, 2880, False]),
  ('regression variant: limit comparison 2', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),
  ('partial repair guard 3', [[[3300, 0], [1800, 3], [0, 5]], 3, 2880], [1, 3300, True]),
  ('boundary control 4', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),
  ('boundary control 5', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),
  ('normal control 6',
   [[[3300, 0], [3300, 5], [2881, 1], [2881, 0], [2881, 0], [2400, 1], [2400, 3], [0, 5]], 4, 2880],
   [3, 3020, True]),
  ('normal control 7', [[[2400, 3], [2400, 0], [3300, 1], [3300, 0], [1800, 1]], 5, 2880], [2, 2850, False]),
  ('normal control 8',
   [[[3300, 7], [3300, 1], [2881, 0], [0, 7], [1800, 7], [1800, 0], [0, 3], [3300, 0]], 3, 2880],
   [3, 2660, False])],
 [('regression: limit comparison 1', [[[2881, 0], [3300, 7], [2880, 0]], 5, 2880], [2, 2880, False]),
  ('regression variant: limit comparison 2',
   [[[1800, 3], [3000, 5], [2880, 0], [3000, 1], [1800, 5], [2880, 1]], 5, 2880], [1, 2880, False]),
  ('partial repair guard 3', [[[3300, 0], [3300, 0], [2880, 0], [2400, 3], [2400, 7]], 4, 2880],
   [3, 3160, True]),
  ('boundary control 4', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),
  ('boundary control 5', [[[3000, 0], [1000, 2], [3000, 0], [3000, 0]], 3, 2880], [3, 3000, True]),
  ('normal control 6', [[[3000, 5], [2881, 1], [3000, 0], [3000, 5], [2881, 0]], 5, 2880], [2, 2940, True]),
  ('normal control 7',
   [[[3000, 0], [2400, 0], [3000, 0], [2880, 0], [2880, 7], [3300, 1], [0, 1], [2400, 5], [3300, 7]], 4,
    2880],
   [4, 2820, False]),
  ('normal control 8', [[[1800, 0], [3300, 3], [1800, 7], [2880, 0]], 5, 2880], [2, 2340, False])],
 [('regression: limit comparison 1', [[[0, 7], [2880, 0], [2880, 1]], 5, 2880], [1, 2880, False]),
  ('regression variant: limit comparison 2',
   [[[0, 1], [2880, 0], [2880, 0], [0, 5], [1800, 3], [2400, 7], [3000, 1], [2881, 7], [2880, 5]], 3, 2880],
   [2, 2880, False]),
  ('partial repair guard 3', [[[3300, 5], [3000, 7], [2880, 1], [2881, 0], [3300, 0]], 5, 2880],
   [2, 3090, True]),
  ('boundary control 4', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),
  ('boundary control 5', [[[3000, 0], [0, 7], [2800, 0], [2900, 0]], 3, 2880], [3, 2900, True]),
  ('normal control 6',
   [[[3000, 5], [2400, 0], [3300, 0], [3300, 1], [1800, 3], [3300, 7], [2880, 5], [0, 3]], 4, 2880],
   [2, 2850, False]),
  ('normal control 7', [[[3000, 5], [3000, 1], [1800, 7], [2881, 0], [0, 5]], 4, 2880], [1, 2881, True]),
  ('normal control 8', [[[2880, 1], [3300, 0], [3300, 3], [2881, 7], [0, 5]], 3, 2880], [1, 3300, True])],
 [('regression: limit comparison 1', [[[2400, 7], [0, 1], [3000, 3], [2880, 0]], 3, 2880], [1, 2880, False]),
  ('regression variant: limit comparison 2', [[[2881, 7], [2880, 0], [2400, 3], [2880, 3]], 3, 2880],
   [1, 2880, False]),
  ('partial repair guard 3', [[[3000, 3], [2881, 0], [3300, 5], [2400, 5], [2881, 3]], 3, 2880],
   [1, 2881, True]),
  ('boundary control 4', [[[2000, 1], [3000, 0]], 3, 2880], [1, 3000, True]),
  ('boundary control 5', [[[2880, 0], [2880, 0], [2880, 0]], 3, 2880], [3, 2880, False]),
  ('normal control 6', [[[3000, 0], [3300, 5], [0, 3]], 4, 2880], [1, 3000, True]),
  ('normal control 7', [[[2881, 0], [2400, 1], [0, 0], [3300, 7], [3000, 1], [2881, 5], [2881, 1]], 4, 2880],
   [2, 1440, False]),
  ('normal control 8', [[[0, 7], [1800, 7], [2400, 0], [2400, 7], [2400, 0], [1800, 5], [2400, 5]], 5, 2880],
   [2, 2400, False])]]
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 fixtureActualExpectedOutcome
regression: limit comparison 1[3, 2880, False][3, 2880, False]Passed
regression variant: limit comparison 2[2, 2880, False][2, 2880, False]Passed
partial repair guard 3[2, 3150, True][2, 3150, True]Passed
boundary control 4[1, 3000, True][1, 3000, True]Passed
normal control 5[3, 2060, False][3, 2060, False]Passed
normal control 6[2, 1200, False][2, 1200, False]Passed
normal control 7[0, 0, False][0, 0, False]Passed
normal control 8[1, 1800, False][1, 1800, False]Passed

SHA-256 / 300cdf939fae757f04a04a02e8d584dc6a006d82cab2872ac5ee4b172ae18838

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 2026-09-29T14:52:02.718388+00:00.

Case digest / 2ab57d5fdc82c305f6682ce518378ca7dd1b958f3666707748ac8bb20c1c85e4