FAILURE MAP
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FA-94206 / Shift rostering labor rules / Open access

Holiday pay granted when only one surrounding shift is worked · case 01

Workers who skip the shift after a holiday still receive holiday pay.

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

ROOT CAUSE

The last-and-first test uses or.

THE FAILURE

The last-and-first test uses or.

Unsuccessful approach: Checking only the prior day ignores the first shift after the holiday.

Case contract

A day-status string (W worked, A unexcused absence, X excused absence, O not scheduled) and holiday indices. A holiday is paid if the nearest scheduled day before it and the nearest after it (skipping O days and other holidays) are both W or X; if either does not exist in the roster, it is not paid. Return [holiday, eligible] in holiday order.

Why this case matters

Last-and-first-shift holiday pay rules are frequently misapplied around days off and adjacent holidays.

1 / The failure

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

N = 1
observations = []
def solve(days, holidays):
    hs = set(holidays)
    ok = ('W', 'X')
    def near(i, step):
        j = i + step
        while 0 <= j < len(days) and (days[j] == 'O' or j in hs):
            j += step
        return days[j] if 0 <= j < len(days) else None
    return [[h, near(h, -1) in ok or near(h, 1) in ok] for h in sorted(holidays)]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: both sides required 1', ['WAOWW', [2]], [[2, False]]),
  ('regression variant: both sides required 2', ['WXWAAAWW', [7]], [[7, False]]),
  ('partial repair guard 3', ['OWWOOO', [2, 0]], [[0, False], [2, False]]),
  ('boundary control 4', ['OWOOW', [2]], [[2, True]]),
  ('normal control 5', ['WWWWWOWO', [7, 5]], [[5, True], [7, False]]),
  ('normal control 6', ['OWXWOOAWWW', [0, 5]], [[0, False], [5, False]]),
  ('normal control 7', ['WAWOWXXW', [3, 4, 2]], [[2, False], [3, False], [4, False]]),
  ('normal control 8', ['WOXOWXWW', [1]], [[1, True]])],
 [('regression: both sides required 1', ['OOWWW', [0]], [[0, False]]),
  ('regression variant: both sides required 2', ['WWOWWXAOOW', [8, 7]], [[7, False], [8, False]]),
  ('partial repair guard 3', ['OOWAWWXOWWO', [9]], [[9, False]]),
  ('boundary control 4', ['WWOWA', [2]], [[2, True]]),
  ('boundary control 5', ['WOOOW', [1, 2]], [[1, True], [2, True]]),
  ('normal control 6', ['WOWAWWOWOW', [4, 8, 1]], [[1, True], [4, False], [8, True]]),
  ('normal control 7', ['WWWWOAXAWWAW', [8, 4]], [[4, False], [8, False]]),
  ('normal control 8', ['OWOWWX', [3, 4, 0]], [[0, False], [3, True], [4, True]])],
 [('regression: both sides required 1', ['OWWXAAXO', [7]], [[7, False]]),
  ('regression variant: both sides required 2', ['XWWWWWAOOWA', [2, 5, 8]],
   [[2, True], [5, False], [8, False]]),
  ('partial repair guard 3', ['WOAOWWAO', [5, 7, 3]], [[3, False], [5, False], [7, False]]),
  ('boundary control 4', ['WXOWX', [2]], [[2, True]]), ('boundary control 5', ['WOOWW', [2]], [[2, True]]),
  ('normal control 6', ['WXWXOWAWWOW', [7, 9, 4]], [[4, True], [7, False], [9, True]]),
  ('normal control 7', ['WWWWWW', [5, 0]], [[0, False], [5, False]]),
  ('normal control 8', ['WOAWAAWOWW', [0, 7, 9]], [[0, False], [7, True], [9, False]])],
 [('regression: both sides required 1', ['OOAOWW', [3, 1, 0]], [[0, False], [1, False], [3, False]]),
  ('regression variant: both sides required 2', ['WAOWOXWOXXWO', [4, 2, 6]],
   [[2, False], [4, True], [6, True]]),
  ('partial repair guard 3', ['XOOXOW', [1, 4, 5]], [[1, True], [4, False], [5, False]]),
  ('boundary control 4', ['OOWWW', [0]], [[0, False]]), ('boundary control 5', ['OWOOW', [2]], [[2, True]]),
  ('normal control 6', ['XOOWWWWWAO', [2, 6]], [[2, True], [6, True]]),
  ('normal control 7', ['OWAAOOA', [5, 0, 4]], [[0, False], [4, False], [5, False]]),
  ('normal control 8', ['OAWWOWAWX', [0]], [[0, False]])],
 [('regression: both sides required 1', ['WOWOWWO', [6, 2, 1]], [[1, True], [2, True], [6, False]]),
  ('regression variant: both sides required 2', ['OWAAWWWWOOW', [9, 0, 8]],
   [[0, False], [8, True], [9, True]]),
  ('partial repair guard 3', ['WWWXWOOWO', [4, 6, 8]], [[4, True], [6, True], [8, False]]),
  ('boundary control 4', ['WAOWW', [2]], [[2, False]]), ('boundary control 5', ['WWOWA', [2]], [[2, True]]),
  ('normal control 6', ['WWWOWWAX', [4]], [[4, True]]),
  ('normal control 7', ['OOAOOW', [1, 3, 0]], [[0, False], [1, False], [3, False]]),
  ('normal control 8', ['WWWWWAOOWW', [6, 9, 7]], [[6, False], [7, False], [9, 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: both sides required 1[[2, True]][[2, False]]Failed
regression variant: both sides required 2[[7, True]][[7, False]]Failed
partial repair guard 3[[0, True], [2, True]][[0, False], [2, False]]Failed
boundary control 4[[2, True]][[2, True]]Passed
normal control 5[[5, True], [7, True]][[5, True], [7, False]]Failed
normal control 6[[0, True], [5, True]][[0, False], [5, False]]Failed
normal control 7[[2, True], [3, True], [4, True]][[2, False], [3, False], [4, False]]Failed
normal control 8[[1, True]][[1, True]]Passed

SHA-256 / 7b88449eb639dc48bf14135c8654ad2bf3fb5a0a556d5ea4291ff805f66b8965

2 / The unsuccessful fix

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

N = 1
observations = []
def solve(days, holidays):
    hs = set(holidays)
    ok = ('W', 'X')
    def near(i, step):
        j = i + step
        while 0 <= j < len(days) and (days[j] == 'O' or j in hs):
            j += step
        return days[j] if 0 <= j < len(days) else None
    return [[h, near(h, -1) in ok] for h in sorted(holidays)]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: both sides required 1', ['WAOWW', [2]], [[2, False]]),
  ('regression variant: both sides required 2', ['WXWAAAWW', [7]], [[7, False]]),
  ('partial repair guard 3', ['OWWOOO', [2, 0]], [[0, False], [2, False]]),
  ('boundary control 4', ['OWOOW', [2]], [[2, True]]),
  ('normal control 5', ['WWWWWOWO', [7, 5]], [[5, True], [7, False]]),
  ('normal control 6', ['OWXWOOAWWW', [0, 5]], [[0, False], [5, False]]),
  ('normal control 7', ['WAWOWXXW', [3, 4, 2]], [[2, False], [3, False], [4, False]]),
  ('normal control 8', ['WOXOWXWW', [1]], [[1, True]])],
 [('regression: both sides required 1', ['OOWWW', [0]], [[0, False]]),
  ('regression variant: both sides required 2', ['WWOWWXAOOW', [8, 7]], [[7, False], [8, False]]),
  ('partial repair guard 3', ['OOWAWWXOWWO', [9]], [[9, False]]),
  ('boundary control 4', ['WWOWA', [2]], [[2, True]]),
  ('boundary control 5', ['WOOOW', [1, 2]], [[1, True], [2, True]]),
  ('normal control 6', ['WOWAWWOWOW', [4, 8, 1]], [[1, True], [4, False], [8, True]]),
  ('normal control 7', ['WWWWOAXAWWAW', [8, 4]], [[4, False], [8, False]]),
  ('normal control 8', ['OWOWWX', [3, 4, 0]], [[0, False], [3, True], [4, True]])],
 [('regression: both sides required 1', ['OWWXAAXO', [7]], [[7, False]]),
  ('regression variant: both sides required 2', ['XWWWWWAOOWA', [2, 5, 8]],
   [[2, True], [5, False], [8, False]]),
  ('partial repair guard 3', ['WOAOWWAO', [5, 7, 3]], [[3, False], [5, False], [7, False]]),
  ('boundary control 4', ['WXOWX', [2]], [[2, True]]), ('boundary control 5', ['WOOWW', [2]], [[2, True]]),
  ('normal control 6', ['WXWXOWAWWOW', [7, 9, 4]], [[4, True], [7, False], [9, True]]),
  ('normal control 7', ['WWWWWW', [5, 0]], [[0, False], [5, False]]),
  ('normal control 8', ['WOAWAAWOWW', [0, 7, 9]], [[0, False], [7, True], [9, False]])],
 [('regression: both sides required 1', ['OOAOWW', [3, 1, 0]], [[0, False], [1, False], [3, False]]),
  ('regression variant: both sides required 2', ['WAOWOXWOXXWO', [4, 2, 6]],
   [[2, False], [4, True], [6, True]]),
  ('partial repair guard 3', ['XOOXOW', [1, 4, 5]], [[1, True], [4, False], [5, False]]),
  ('boundary control 4', ['OOWWW', [0]], [[0, False]]), ('boundary control 5', ['OWOOW', [2]], [[2, True]]),
  ('normal control 6', ['XOOWWWWWAO', [2, 6]], [[2, True], [6, True]]),
  ('normal control 7', ['OWAAOOA', [5, 0, 4]], [[0, False], [4, False], [5, False]]),
  ('normal control 8', ['OAWWOWAWX', [0]], [[0, False]])],
 [('regression: both sides required 1', ['WOWOWWO', [6, 2, 1]], [[1, True], [2, True], [6, False]]),
  ('regression variant: both sides required 2', ['OWAAWWWWOOW', [9, 0, 8]],
   [[0, False], [8, True], [9, True]]),
  ('partial repair guard 3', ['WWWXWOOWO', [4, 6, 8]], [[4, True], [6, True], [8, False]]),
  ('boundary control 4', ['WAOWW', [2]], [[2, False]]), ('boundary control 5', ['WWOWA', [2]], [[2, True]]),
  ('normal control 6', ['WWWOWWAX', [4]], [[4, True]]),
  ('normal control 7', ['OOAOOW', [1, 3, 0]], [[0, False], [1, False], [3, False]]),
  ('normal control 8', ['WWWWWAOOWW', [6, 9, 7]], [[6, False], [7, False], [9, 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: both sides required 1[[2, False]][[2, False]]Passed
regression variant: both sides required 2[[7, True]][[7, False]]Failed
partial repair guard 3[[0, False], [2, True]][[0, False], [2, False]]Failed
boundary control 4[[2, True]][[2, True]]Passed
normal control 5[[5, True], [7, True]][[5, True], [7, False]]Failed
normal control 6[[0, False], [5, True]][[0, False], [5, False]]Failed
normal control 7[[2, False], [3, False], [4, False]][[2, False], [3, False], [4, False]]Passed
normal control 8[[1, True]][[1, True]]Passed

SHA-256 / 16247207c97988e6f2d05dc1aee7b5eb6aa67404cbe510571c8a68a2c505dd28

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 8 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.

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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 2026-09-29T14:52:02.137572+00:00.

Case digest / 86dd94322377846eda37d9e2d8b758a74588e823d3a9b1d878a213d3917fb5e3