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FA-94576 / Exam timetabling constraints / Open access

Mixed-duration penalty counts every duration · case 01

A room with two durations costs two instead of one.

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

ROOT CAUSE

The penalty does not subtract the first duration.

VERIFIED REPAIR

Penalty is distinct durations minus one.

Unsuccessful approach: A flat penalty ignores three-way mixes.

Case contract

Assignments [exam, room, period] and exam durations. For each room and period, the penalty is the number of distinct durations minus one. Return [total penalty, [room, period, distinct durations] for penalised room-periods in order].

Why this case matters

Mixed durations in one room disrupt invigilation; the penalty is defined over distinct durations.

1 / The failure

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

N = 1
observations = []
def solve(assign, dur):
    groups = {}
    for e, r, p in assign:
        groups.setdefault((r, p), set()).add(dur[e])
    bad = []
    total = 0
    for (r, p), ds in sorted(groups.items()):
        if len(ds) > 1:
            bad.append([r, p, len(ds)])
            total += len(ds)
    return [total, bad]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: penalty per room 1',
   [[['A', 'R1', 0], ['B', 'R1', 0], ['C', 'R1', 0]], {'A': 60, 'B': 90, 'C': 120}], [2, [['R1', 0, 3]]]),
  ('regression variant: penalty per room 2',
   [[['MATH101', 'R1', 2], ['CHEM120', 'R2', 0], ['MATH101H', 'R2', 1], ['PHYS110', 'R2', 2],
     ['MATH101H', 'R2', 0], ['CHEM120', 'R2', 1], ['HIST140', 'R2', 1]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 120,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 90}],
   [3, [['R2', 0, 2], ['R2', 1, 3]]]),
  ('partial repair guard 3',
   [[['HIST140', 'R1', 2], ['PHYS110', 'R2', 0], ['PHYS110', 'R2', 0], ['CHEM120', 'R2', 0],
     ['MATH101', 'R2', 0], ['BIO130', 'R2', 1], ['MATH101H', 'R2', 0]],
    {'MATH101': 60,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 120}],
   [2, [['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 1]], {'A': 60, 'B': 90}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 0]], {'A': 60, 'B': 60}], [0, []]),
  ('normal control 6',
   [[['ECON150', 'R1', 2], ['CHEM120', 'R2', 1]],
    {'MATH101': 90,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 120}],
   [0, []]),
  ('normal control 7',
   [[['ECON150', 'R1', 2], ['PHYS110', 'R2', 1]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [0, []]),
  ('normal control 8',
   [[['MATH101', 'R1', 0], ['BIO130', 'R1', 2], ['CHEM120', 'R2', 0], ['MATH101', 'R1', 2]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 90}],
   [1, [['R1', 2, 2]]])],
 [('regression: penalty per room 1',
   [[['MATH101H', 'R2', 0], ['PHYS110', 'R1', 0], ['BIO130', 'R2', 0], ['MATH101', 'R1', 1],
     ['CHEM120', 'R1', 1], ['CHEM120', 'R2', 0], ['MATH101H', 'R1', 2]],
    {'MATH101': 90,
     'MATH101H': 90,
     'PHYS110': 120,
     'CHEM120': 120,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [3, [['R1', 1, 2], ['R2', 0, 3]]]),
  ('regression variant: penalty per room 2',
   [[['HIST140', 'R1', 2], ['ECON150', 'R2', 2], ['ECON150', 'R2', 1], ['PHYS110', 'R2', 1],
     ['CHEM120', 'R1', 2], ['PHYS110', 'R1', 1], ['CHEM120', 'R2', 1], ['MATH101H', 'R2', 0]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 120,
     'CHEM120': 90,
     'BIO130': 90,
     'HIST140': 90,
     'ECON150': 120}],
   [1, [['R2', 1, 2]]]),
  ('partial repair guard 3',
   [[['HIST140', 'R1', 2], ['PHYS110', 'R1', 2], ['MATH101H', 'R1', 2], ['MATH101H', 'R2', 2],
     ['ECON150', 'R1', 0], ['HIST140', 'R1', 0], ['CHEM120', 'R1', 1], ['MATH101H', 'R2', 2]],
    {'MATH101': 120,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 90}],
   [3, [['R1', 0, 2], ['R1', 2, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R2', 0]], {'A': 60, 'B': 90}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 1]], {'A': 60, 'B': 90}], [0, []]),
  ('normal control 6',
   [[['ECON150', 'R2', 1], ['MATH101H', 'R2', 0], ['MATH101', 'R2', 0], ['HIST140', 'R1', 0],
     ['ECON150', 'R2', 1], ['MATH101H', 'R2', 2], ['CHEM120', 'R1', 0], ['BIO130', 'R2', 1]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 120}],
   [1, [['R1', 0, 2]]]),
  ('normal control 7',
   [[['BIO130', 'R1', 2], ['CHEM120', 'R2', 1], ['BIO130', 'R1', 0], ['CHEM120', 'R1', 0],
     ['CHEM120', 'R2', 1], ['PHYS110', 'R2', 1], ['MATH101H', 'R2', 1], ['CHEM120', 'R2', 2]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 60,
     'HIST140': 90,
     'ECON150': 60}],
   [1, [['R2', 1, 2]]]),
  ('normal control 8',
   [[['ECON150', 'R1', 1], ['HIST140', 'R1', 2], ['CHEM120', 'R2', 2], ['ECON150', 'R2', 0],
     ['MATH101', 'R1', 2], ['BIO130', 'R2', 2]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 120}],
   [1, [['R2', 2, 2]]])],
 [('regression: penalty per room 1',
   [[['CHEM120', 'R2', 0], ['PHYS110', 'R1', 0], ['MATH101', 'R2', 2], ['BIO130', 'R1', 0],
     ['CHEM120', 'R2', 2], ['ECON150', 'R2', 2], ['BIO130', 'R2', 2]],
    {'MATH101': 60,
     'MATH101H': 120,
     'PHYS110': 120,
     'CHEM120': 90,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 120}],
   [3, [['R1', 0, 2], ['R2', 2, 3]]]),
  ('regression variant: penalty per room 2',
   [[['MATH101', 'R1', 2], ['ECON150', 'R1', 1], ['BIO130', 'R2', 1], ['HIST140', 'R2', 0],
     ['PHYS110', 'R1', 0], ['ECON150', 'R2', 2], ['MATH101H', 'R1', 1]],
    {'MATH101': 120,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 60,
     'HIST140': 90,
     'ECON150': 90}],
   [1, [['R1', 1, 2]]]),
  ('partial repair guard 3',
   [[['MATH101', 'R2', 0], ['CHEM120', 'R2', 0], ['BIO130', 'R1', 1], ['ECON150', 'R2', 1],
     ['MATH101H', 'R2', 0], ['BIO130', 'R2', 0]],
    {'MATH101': 120,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 90,
     'ECON150': 60}],
   [2, [['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 0], ['C', 'R1', 0]], {'A': 60, 'B': 90, 'C': 120}],
   [2, [['R1', 0, 3]]]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R2', 0]], {'A': 60, 'B': 90}], [0, []]),
  ('normal control 6',
   [[['ECON150', 'R1', 2], ['CHEM120', 'R2', 0], ['CHEM120', 'R2', 2]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 60,
     'HIST140': 60,
     'ECON150': 120}],
   [0, []]),
  ('normal control 7',
   [[['HIST140', 'R2', 1], ['HIST140', 'R1', 0], ['MATH101', 'R1', 1], ['BIO130', 'R2', 1]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 60}],
   [1, [['R2', 1, 2]]]),
  ('normal control 8',
   [[['CHEM120', 'R1', 2], ['ECON150', 'R2', 2], ['ECON150', 'R2', 0]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 120,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 90}],
   [0, []])],
 [('regression: penalty per room 1',
   [[['CHEM120', 'R1', 2], ['CHEM120', 'R1', 2], ['PHYS110', 'R1', 0], ['CHEM120', 'R1', 0],
     ['HIST140', 'R1', 0]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 60,
     'CHEM120': 120,
     'BIO130': 120,
     'HIST140': 90,
     'ECON150': 90}],
   [2, [['R1', 0, 3]]]),
  ('regression variant: penalty per room 2',
   [[['HIST140', 'R2', 1], ['MATH101H', 'R2', 0], ['HIST140', 'R2', 0], ['PHYS110', 'R1', 0]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 120,
     'CHEM120': 60,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 60}],
   [1, [['R2', 0, 2]]]),
  ('partial repair guard 3',
   [[['MATH101H', 'R2', 0], ['PHYS110', 'R1', 0], ['BIO130', 'R2', 0], ['MATH101', 'R1', 1],
     ['CHEM120', 'R1', 1], ['CHEM120', 'R2', 0], ['MATH101H', 'R1', 2]],
    {'MATH101': 90,
     'MATH101H': 90,
     'PHYS110': 120,
     'CHEM120': 120,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [3, [['R1', 1, 2], ['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 0]], {'A': 60, 'B': 60}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 0], ['C', 'R1', 0]], {'A': 60, 'B': 90, 'C': 120}],
   [2, [['R1', 0, 3]]]),
  ('normal control 6',
   [[['ECON150', 'R1', 0], ['HIST140', 'R2', 1]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 90,
     'HIST140': 90,
     'ECON150': 90}],
   [0, []]),
  ('normal control 7',
   [[['MATH101H', 'R1', 2], ['CHEM120', 'R2', 1], ['ECON150', 'R1', 1], ['ECON150', 'R1', 0],
     ['ECON150', 'R2', 0], ['ECON150', 'R2', 0], ['PHYS110', 'R1', 2], ['ECON150', 'R2', 1]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 120,
     'HIST140': 90,
     'ECON150': 60}],
   [2, [['R1', 2, 2], ['R2', 1, 2]]]),
  ('normal control 8',
   [[['CHEM120', 'R2', 0], ['HIST140', 'R1', 0]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 60,
     'CHEM120': 60,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 90}],
   [0, []])],
 [('regression: penalty per room 1',
   [[['PHYS110', 'R1', 1], ['BIO130', 'R1', 0], ['BIO130', 'R1', 2], ['HIST140', 'R1', 0],
     ['MATH101', 'R2', 1], ['MATH101', 'R2', 0], ['PHYS110', 'R2', 1], ['CHEM120', 'R1', 2]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [2, [['R1', 0, 2], ['R1', 2, 2]]]),
  ('regression variant: penalty per room 2',
   [[['CHEM120', 'R2', 1], ['PHYS110', 'R2', 2], ['ECON150', 'R1', 0], ['HIST140', 'R1', 0],
     ['CHEM120', 'R2', 1], ['PHYS110', 'R1', 0]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 120,
     'CHEM120': 120,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 90}],
   [1, [['R1', 0, 2]]]),
  ('partial repair guard 3',
   [[['HIST140', 'R1', 2], ['PHYS110', 'R2', 0], ['PHYS110', 'R2', 0], ['CHEM120', 'R2', 0],
     ['MATH101', 'R2', 0], ['BIO130', 'R2', 1], ['MATH101H', 'R2', 0]],
    {'MATH101': 60,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 120}],
   [2, [['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 1]], {'A': 60, 'B': 90}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 0]], {'A': 60, 'B': 60}], [0, []]),
  ('normal control 6',
   [[['CHEM120', 'R1', 2], ['MATH101H', 'R1', 1], ['BIO130', 'R2', 0]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 60,
     'CHEM120': 120,
     'BIO130': 90,
     'HIST140': 60,
     'ECON150': 60}],
   [0, []]),
  ('normal control 7',
   [[['MATH101', 'R1', 2], ['MATH101', 'R1', 2], ['BIO130', 'R1', 1], ['ECON150', 'R2', 1],
     ['CHEM120', 'R1', 2], ['MATH101', 'R1', 1]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 60,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 90}],
   [1, [['R1', 1, 2]]]),
  ('normal control 8',
   [[['HIST140', 'R1', 0], ['CHEM120', 'R1', 2], ['HIST140', 'R2', 2], ['MATH101H', 'R1', 1],
     ['ECON150', 'R2', 1]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 90,
     'HIST140': 60,
     'ECON150': 90}],
   [0, []])]]
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: penalty per room 1[3, [['R1', 0, 3]]][2, [['R1', 0, 3]]]Failed
regression variant: penalty per room 2[5, [['R2', 0, 2], ['R2', 1, 3]]][3, [['R2', 0, 2], ['R2', 1, 3]]]Failed
partial repair guard 3[3, [['R2', 0, 3]]][2, [['R2', 0, 3]]]Failed
boundary control 4[0, []][0, []]Passed
boundary control 5[0, []][0, []]Passed
normal control 6[0, []][0, []]Passed
normal control 7[0, []][0, []]Passed
normal control 8[2, [['R1', 2, 2]]][1, [['R1', 2, 2]]]Failed

SHA-256 / 6e8db1685d9dfba36effbb4069986a057077d8c93669160bded3762bf30a2a9f

2 / The unsuccessful fix

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

N = 1
observations = []
def solve(assign, dur):
    groups = {}
    for e, r, p in assign:
        groups.setdefault((r, p), set()).add(dur[e])
    bad = []
    total = 0
    for (r, p), ds in sorted(groups.items()):
        if len(ds) > 1:
            bad.append([r, p, len(ds)])
            total += 1
    return [total, bad]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: penalty per room 1',
   [[['A', 'R1', 0], ['B', 'R1', 0], ['C', 'R1', 0]], {'A': 60, 'B': 90, 'C': 120}], [2, [['R1', 0, 3]]]),
  ('regression variant: penalty per room 2',
   [[['MATH101', 'R1', 2], ['CHEM120', 'R2', 0], ['MATH101H', 'R2', 1], ['PHYS110', 'R2', 2],
     ['MATH101H', 'R2', 0], ['CHEM120', 'R2', 1], ['HIST140', 'R2', 1]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 120,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 90}],
   [3, [['R2', 0, 2], ['R2', 1, 3]]]),
  ('partial repair guard 3',
   [[['HIST140', 'R1', 2], ['PHYS110', 'R2', 0], ['PHYS110', 'R2', 0], ['CHEM120', 'R2', 0],
     ['MATH101', 'R2', 0], ['BIO130', 'R2', 1], ['MATH101H', 'R2', 0]],
    {'MATH101': 60,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 120}],
   [2, [['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 1]], {'A': 60, 'B': 90}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 0]], {'A': 60, 'B': 60}], [0, []]),
  ('normal control 6',
   [[['ECON150', 'R1', 2], ['CHEM120', 'R2', 1]],
    {'MATH101': 90,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 120}],
   [0, []]),
  ('normal control 7',
   [[['ECON150', 'R1', 2], ['PHYS110', 'R2', 1]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [0, []]),
  ('normal control 8',
   [[['MATH101', 'R1', 0], ['BIO130', 'R1', 2], ['CHEM120', 'R2', 0], ['MATH101', 'R1', 2]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 90}],
   [1, [['R1', 2, 2]]])],
 [('regression: penalty per room 1',
   [[['MATH101H', 'R2', 0], ['PHYS110', 'R1', 0], ['BIO130', 'R2', 0], ['MATH101', 'R1', 1],
     ['CHEM120', 'R1', 1], ['CHEM120', 'R2', 0], ['MATH101H', 'R1', 2]],
    {'MATH101': 90,
     'MATH101H': 90,
     'PHYS110': 120,
     'CHEM120': 120,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [3, [['R1', 1, 2], ['R2', 0, 3]]]),
  ('regression variant: penalty per room 2',
   [[['HIST140', 'R1', 2], ['ECON150', 'R2', 2], ['ECON150', 'R2', 1], ['PHYS110', 'R2', 1],
     ['CHEM120', 'R1', 2], ['PHYS110', 'R1', 1], ['CHEM120', 'R2', 1], ['MATH101H', 'R2', 0]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 120,
     'CHEM120': 90,
     'BIO130': 90,
     'HIST140': 90,
     'ECON150': 120}],
   [1, [['R2', 1, 2]]]),
  ('partial repair guard 3',
   [[['HIST140', 'R1', 2], ['PHYS110', 'R1', 2], ['MATH101H', 'R1', 2], ['MATH101H', 'R2', 2],
     ['ECON150', 'R1', 0], ['HIST140', 'R1', 0], ['CHEM120', 'R1', 1], ['MATH101H', 'R2', 2]],
    {'MATH101': 120,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 90}],
   [3, [['R1', 0, 2], ['R1', 2, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R2', 0]], {'A': 60, 'B': 90}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 1]], {'A': 60, 'B': 90}], [0, []]),
  ('normal control 6',
   [[['ECON150', 'R2', 1], ['MATH101H', 'R2', 0], ['MATH101', 'R2', 0], ['HIST140', 'R1', 0],
     ['ECON150', 'R2', 1], ['MATH101H', 'R2', 2], ['CHEM120', 'R1', 0], ['BIO130', 'R2', 1]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 120}],
   [1, [['R1', 0, 2]]]),
  ('normal control 7',
   [[['BIO130', 'R1', 2], ['CHEM120', 'R2', 1], ['BIO130', 'R1', 0], ['CHEM120', 'R1', 0],
     ['CHEM120', 'R2', 1], ['PHYS110', 'R2', 1], ['MATH101H', 'R2', 1], ['CHEM120', 'R2', 2]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 60,
     'HIST140': 90,
     'ECON150': 60}],
   [1, [['R2', 1, 2]]]),
  ('normal control 8',
   [[['ECON150', 'R1', 1], ['HIST140', 'R1', 2], ['CHEM120', 'R2', 2], ['ECON150', 'R2', 0],
     ['MATH101', 'R1', 2], ['BIO130', 'R2', 2]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 120}],
   [1, [['R2', 2, 2]]])],
 [('regression: penalty per room 1',
   [[['CHEM120', 'R2', 0], ['PHYS110', 'R1', 0], ['MATH101', 'R2', 2], ['BIO130', 'R1', 0],
     ['CHEM120', 'R2', 2], ['ECON150', 'R2', 2], ['BIO130', 'R2', 2]],
    {'MATH101': 60,
     'MATH101H': 120,
     'PHYS110': 120,
     'CHEM120': 90,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 120}],
   [3, [['R1', 0, 2], ['R2', 2, 3]]]),
  ('regression variant: penalty per room 2',
   [[['MATH101', 'R1', 2], ['ECON150', 'R1', 1], ['BIO130', 'R2', 1], ['HIST140', 'R2', 0],
     ['PHYS110', 'R1', 0], ['ECON150', 'R2', 2], ['MATH101H', 'R1', 1]],
    {'MATH101': 120,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 60,
     'HIST140': 90,
     'ECON150': 90}],
   [1, [['R1', 1, 2]]]),
  ('partial repair guard 3',
   [[['MATH101', 'R2', 0], ['CHEM120', 'R2', 0], ['BIO130', 'R1', 1], ['ECON150', 'R2', 1],
     ['MATH101H', 'R2', 0], ['BIO130', 'R2', 0]],
    {'MATH101': 120,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 90,
     'ECON150': 60}],
   [2, [['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 0], ['C', 'R1', 0]], {'A': 60, 'B': 90, 'C': 120}],
   [2, [['R1', 0, 3]]]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R2', 0]], {'A': 60, 'B': 90}], [0, []]),
  ('normal control 6',
   [[['ECON150', 'R1', 2], ['CHEM120', 'R2', 0], ['CHEM120', 'R2', 2]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 60,
     'HIST140': 60,
     'ECON150': 120}],
   [0, []]),
  ('normal control 7',
   [[['HIST140', 'R2', 1], ['HIST140', 'R1', 0], ['MATH101', 'R1', 1], ['BIO130', 'R2', 1]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 60}],
   [1, [['R2', 1, 2]]]),
  ('normal control 8',
   [[['CHEM120', 'R1', 2], ['ECON150', 'R2', 2], ['ECON150', 'R2', 0]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 120,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 90}],
   [0, []])],
 [('regression: penalty per room 1',
   [[['CHEM120', 'R1', 2], ['CHEM120', 'R1', 2], ['PHYS110', 'R1', 0], ['CHEM120', 'R1', 0],
     ['HIST140', 'R1', 0]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 60,
     'CHEM120': 120,
     'BIO130': 120,
     'HIST140': 90,
     'ECON150': 90}],
   [2, [['R1', 0, 3]]]),
  ('regression variant: penalty per room 2',
   [[['HIST140', 'R2', 1], ['MATH101H', 'R2', 0], ['HIST140', 'R2', 0], ['PHYS110', 'R1', 0]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 120,
     'CHEM120': 60,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 60}],
   [1, [['R2', 0, 2]]]),
  ('partial repair guard 3',
   [[['MATH101H', 'R2', 0], ['PHYS110', 'R1', 0], ['BIO130', 'R2', 0], ['MATH101', 'R1', 1],
     ['CHEM120', 'R1', 1], ['CHEM120', 'R2', 0], ['MATH101H', 'R1', 2]],
    {'MATH101': 90,
     'MATH101H': 90,
     'PHYS110': 120,
     'CHEM120': 120,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [3, [['R1', 1, 2], ['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 0]], {'A': 60, 'B': 60}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 0], ['C', 'R1', 0]], {'A': 60, 'B': 90, 'C': 120}],
   [2, [['R1', 0, 3]]]),
  ('normal control 6',
   [[['ECON150', 'R1', 0], ['HIST140', 'R2', 1]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 90,
     'HIST140': 90,
     'ECON150': 90}],
   [0, []]),
  ('normal control 7',
   [[['MATH101H', 'R1', 2], ['CHEM120', 'R2', 1], ['ECON150', 'R1', 1], ['ECON150', 'R1', 0],
     ['ECON150', 'R2', 0], ['ECON150', 'R2', 0], ['PHYS110', 'R1', 2], ['ECON150', 'R2', 1]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 120,
     'HIST140': 90,
     'ECON150': 60}],
   [2, [['R1', 2, 2], ['R2', 1, 2]]]),
  ('normal control 8',
   [[['CHEM120', 'R2', 0], ['HIST140', 'R1', 0]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 60,
     'CHEM120': 60,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 90}],
   [0, []])],
 [('regression: penalty per room 1',
   [[['PHYS110', 'R1', 1], ['BIO130', 'R1', 0], ['BIO130', 'R1', 2], ['HIST140', 'R1', 0],
     ['MATH101', 'R2', 1], ['MATH101', 'R2', 0], ['PHYS110', 'R2', 1], ['CHEM120', 'R1', 2]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [2, [['R1', 0, 2], ['R1', 2, 2]]]),
  ('regression variant: penalty per room 2',
   [[['CHEM120', 'R2', 1], ['PHYS110', 'R2', 2], ['ECON150', 'R1', 0], ['HIST140', 'R1', 0],
     ['CHEM120', 'R2', 1], ['PHYS110', 'R1', 0]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 120,
     'CHEM120': 120,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 90}],
   [1, [['R1', 0, 2]]]),
  ('partial repair guard 3',
   [[['HIST140', 'R1', 2], ['PHYS110', 'R2', 0], ['PHYS110', 'R2', 0], ['CHEM120', 'R2', 0],
     ['MATH101', 'R2', 0], ['BIO130', 'R2', 1], ['MATH101H', 'R2', 0]],
    {'MATH101': 60,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 120}],
   [2, [['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 1]], {'A': 60, 'B': 90}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 0]], {'A': 60, 'B': 60}], [0, []]),
  ('normal control 6',
   [[['CHEM120', 'R1', 2], ['MATH101H', 'R1', 1], ['BIO130', 'R2', 0]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 60,
     'CHEM120': 120,
     'BIO130': 90,
     'HIST140': 60,
     'ECON150': 60}],
   [0, []]),
  ('normal control 7',
   [[['MATH101', 'R1', 2], ['MATH101', 'R1', 2], ['BIO130', 'R1', 1], ['ECON150', 'R2', 1],
     ['CHEM120', 'R1', 2], ['MATH101', 'R1', 1]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 60,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 90}],
   [1, [['R1', 1, 2]]]),
  ('normal control 8',
   [[['HIST140', 'R1', 0], ['CHEM120', 'R1', 2], ['HIST140', 'R2', 2], ['MATH101H', 'R1', 1],
     ['ECON150', 'R2', 1]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 90,
     'HIST140': 60,
     'ECON150': 90}],
   [0, []])]]
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: penalty per room 1[1, [['R1', 0, 3]]][2, [['R1', 0, 3]]]Failed
regression variant: penalty per room 2[2, [['R2', 0, 2], ['R2', 1, 3]]][3, [['R2', 0, 2], ['R2', 1, 3]]]Failed
partial repair guard 3[1, [['R2', 0, 3]]][2, [['R2', 0, 3]]]Failed
boundary control 4[0, []][0, []]Passed
boundary control 5[0, []][0, []]Passed
normal control 6[0, []][0, []]Passed
normal control 7[0, []][0, []]Passed
normal control 8[1, [['R1', 2, 2]]][1, [['R1', 2, 2]]]Passed

SHA-256 / a8861fe25ec7d4e487b4b72e207c43108bb5de497b73d18ddfd7b9697e6a36e8

3 / The verified repair

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

N = 1
observations = []
def solve(assign, dur):
    groups = {}
    for e, r, p in assign:
        groups.setdefault((r, p), set()).add(dur[e])
    bad = []
    total = 0
    for (r, p), ds in sorted(groups.items()):
        if len(ds) > 1:
            bad.append([r, p, len(ds)])
            total += len(ds) - 1
    return [total, bad]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression: penalty per room 1',
   [[['A', 'R1', 0], ['B', 'R1', 0], ['C', 'R1', 0]], {'A': 60, 'B': 90, 'C': 120}], [2, [['R1', 0, 3]]]),
  ('regression variant: penalty per room 2',
   [[['MATH101', 'R1', 2], ['CHEM120', 'R2', 0], ['MATH101H', 'R2', 1], ['PHYS110', 'R2', 2],
     ['MATH101H', 'R2', 0], ['CHEM120', 'R2', 1], ['HIST140', 'R2', 1]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 120,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 90}],
   [3, [['R2', 0, 2], ['R2', 1, 3]]]),
  ('partial repair guard 3',
   [[['HIST140', 'R1', 2], ['PHYS110', 'R2', 0], ['PHYS110', 'R2', 0], ['CHEM120', 'R2', 0],
     ['MATH101', 'R2', 0], ['BIO130', 'R2', 1], ['MATH101H', 'R2', 0]],
    {'MATH101': 60,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 120}],
   [2, [['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 1]], {'A': 60, 'B': 90}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 0]], {'A': 60, 'B': 60}], [0, []]),
  ('normal control 6',
   [[['ECON150', 'R1', 2], ['CHEM120', 'R2', 1]],
    {'MATH101': 90,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 120}],
   [0, []]),
  ('normal control 7',
   [[['ECON150', 'R1', 2], ['PHYS110', 'R2', 1]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [0, []]),
  ('normal control 8',
   [[['MATH101', 'R1', 0], ['BIO130', 'R1', 2], ['CHEM120', 'R2', 0], ['MATH101', 'R1', 2]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 90}],
   [1, [['R1', 2, 2]]])],
 [('regression: penalty per room 1',
   [[['MATH101H', 'R2', 0], ['PHYS110', 'R1', 0], ['BIO130', 'R2', 0], ['MATH101', 'R1', 1],
     ['CHEM120', 'R1', 1], ['CHEM120', 'R2', 0], ['MATH101H', 'R1', 2]],
    {'MATH101': 90,
     'MATH101H': 90,
     'PHYS110': 120,
     'CHEM120': 120,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [3, [['R1', 1, 2], ['R2', 0, 3]]]),
  ('regression variant: penalty per room 2',
   [[['HIST140', 'R1', 2], ['ECON150', 'R2', 2], ['ECON150', 'R2', 1], ['PHYS110', 'R2', 1],
     ['CHEM120', 'R1', 2], ['PHYS110', 'R1', 1], ['CHEM120', 'R2', 1], ['MATH101H', 'R2', 0]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 120,
     'CHEM120': 90,
     'BIO130': 90,
     'HIST140': 90,
     'ECON150': 120}],
   [1, [['R2', 1, 2]]]),
  ('partial repair guard 3',
   [[['HIST140', 'R1', 2], ['PHYS110', 'R1', 2], ['MATH101H', 'R1', 2], ['MATH101H', 'R2', 2],
     ['ECON150', 'R1', 0], ['HIST140', 'R1', 0], ['CHEM120', 'R1', 1], ['MATH101H', 'R2', 2]],
    {'MATH101': 120,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 90}],
   [3, [['R1', 0, 2], ['R1', 2, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R2', 0]], {'A': 60, 'B': 90}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 1]], {'A': 60, 'B': 90}], [0, []]),
  ('normal control 6',
   [[['ECON150', 'R2', 1], ['MATH101H', 'R2', 0], ['MATH101', 'R2', 0], ['HIST140', 'R1', 0],
     ['ECON150', 'R2', 1], ['MATH101H', 'R2', 2], ['CHEM120', 'R1', 0], ['BIO130', 'R2', 1]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 120}],
   [1, [['R1', 0, 2]]]),
  ('normal control 7',
   [[['BIO130', 'R1', 2], ['CHEM120', 'R2', 1], ['BIO130', 'R1', 0], ['CHEM120', 'R1', 0],
     ['CHEM120', 'R2', 1], ['PHYS110', 'R2', 1], ['MATH101H', 'R2', 1], ['CHEM120', 'R2', 2]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 60,
     'HIST140': 90,
     'ECON150': 60}],
   [1, [['R2', 1, 2]]]),
  ('normal control 8',
   [[['ECON150', 'R1', 1], ['HIST140', 'R1', 2], ['CHEM120', 'R2', 2], ['ECON150', 'R2', 0],
     ['MATH101', 'R1', 2], ['BIO130', 'R2', 2]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 120}],
   [1, [['R2', 2, 2]]])],
 [('regression: penalty per room 1',
   [[['CHEM120', 'R2', 0], ['PHYS110', 'R1', 0], ['MATH101', 'R2', 2], ['BIO130', 'R1', 0],
     ['CHEM120', 'R2', 2], ['ECON150', 'R2', 2], ['BIO130', 'R2', 2]],
    {'MATH101': 60,
     'MATH101H': 120,
     'PHYS110': 120,
     'CHEM120': 90,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 120}],
   [3, [['R1', 0, 2], ['R2', 2, 3]]]),
  ('regression variant: penalty per room 2',
   [[['MATH101', 'R1', 2], ['ECON150', 'R1', 1], ['BIO130', 'R2', 1], ['HIST140', 'R2', 0],
     ['PHYS110', 'R1', 0], ['ECON150', 'R2', 2], ['MATH101H', 'R1', 1]],
    {'MATH101': 120,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 60,
     'HIST140': 90,
     'ECON150': 90}],
   [1, [['R1', 1, 2]]]),
  ('partial repair guard 3',
   [[['MATH101', 'R2', 0], ['CHEM120', 'R2', 0], ['BIO130', 'R1', 1], ['ECON150', 'R2', 1],
     ['MATH101H', 'R2', 0], ['BIO130', 'R2', 0]],
    {'MATH101': 120,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 90,
     'ECON150': 60}],
   [2, [['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 0], ['C', 'R1', 0]], {'A': 60, 'B': 90, 'C': 120}],
   [2, [['R1', 0, 3]]]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R2', 0]], {'A': 60, 'B': 90}], [0, []]),
  ('normal control 6',
   [[['ECON150', 'R1', 2], ['CHEM120', 'R2', 0], ['CHEM120', 'R2', 2]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 60,
     'HIST140': 60,
     'ECON150': 120}],
   [0, []]),
  ('normal control 7',
   [[['HIST140', 'R2', 1], ['HIST140', 'R1', 0], ['MATH101', 'R1', 1], ['BIO130', 'R2', 1]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 60}],
   [1, [['R2', 1, 2]]]),
  ('normal control 8',
   [[['CHEM120', 'R1', 2], ['ECON150', 'R2', 2], ['ECON150', 'R2', 0]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 120,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 90}],
   [0, []])],
 [('regression: penalty per room 1',
   [[['CHEM120', 'R1', 2], ['CHEM120', 'R1', 2], ['PHYS110', 'R1', 0], ['CHEM120', 'R1', 0],
     ['HIST140', 'R1', 0]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 60,
     'CHEM120': 120,
     'BIO130': 120,
     'HIST140': 90,
     'ECON150': 90}],
   [2, [['R1', 0, 3]]]),
  ('regression variant: penalty per room 2',
   [[['HIST140', 'R2', 1], ['MATH101H', 'R2', 0], ['HIST140', 'R2', 0], ['PHYS110', 'R1', 0]],
    {'MATH101': 60,
     'MATH101H': 60,
     'PHYS110': 120,
     'CHEM120': 60,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 60}],
   [1, [['R2', 0, 2]]]),
  ('partial repair guard 3',
   [[['MATH101H', 'R2', 0], ['PHYS110', 'R1', 0], ['BIO130', 'R2', 0], ['MATH101', 'R1', 1],
     ['CHEM120', 'R1', 1], ['CHEM120', 'R2', 0], ['MATH101H', 'R1', 2]],
    {'MATH101': 90,
     'MATH101H': 90,
     'PHYS110': 120,
     'CHEM120': 120,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [3, [['R1', 1, 2], ['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 0]], {'A': 60, 'B': 60}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 0], ['C', 'R1', 0]], {'A': 60, 'B': 90, 'C': 120}],
   [2, [['R1', 0, 3]]]),
  ('normal control 6',
   [[['ECON150', 'R1', 0], ['HIST140', 'R2', 1]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 90,
     'BIO130': 90,
     'HIST140': 90,
     'ECON150': 90}],
   [0, []]),
  ('normal control 7',
   [[['MATH101H', 'R1', 2], ['CHEM120', 'R2', 1], ['ECON150', 'R1', 1], ['ECON150', 'R1', 0],
     ['ECON150', 'R2', 0], ['ECON150', 'R2', 0], ['PHYS110', 'R1', 2], ['ECON150', 'R2', 1]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 120,
     'HIST140': 90,
     'ECON150': 60}],
   [2, [['R1', 2, 2], ['R2', 1, 2]]]),
  ('normal control 8',
   [[['CHEM120', 'R2', 0], ['HIST140', 'R1', 0]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 60,
     'CHEM120': 60,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 90}],
   [0, []])],
 [('regression: penalty per room 1',
   [[['PHYS110', 'R1', 1], ['BIO130', 'R1', 0], ['BIO130', 'R1', 2], ['HIST140', 'R1', 0],
     ['MATH101', 'R2', 1], ['MATH101', 'R2', 0], ['PHYS110', 'R2', 1], ['CHEM120', 'R1', 2]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 90,
     'CHEM120': 120,
     'BIO130': 60,
     'HIST140': 120,
     'ECON150': 90}],
   [2, [['R1', 0, 2], ['R1', 2, 2]]]),
  ('regression variant: penalty per room 2',
   [[['CHEM120', 'R2', 1], ['PHYS110', 'R2', 2], ['ECON150', 'R1', 0], ['HIST140', 'R1', 0],
     ['CHEM120', 'R2', 1], ['PHYS110', 'R1', 0]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 120,
     'CHEM120': 120,
     'BIO130': 90,
     'HIST140': 120,
     'ECON150': 90}],
   [1, [['R1', 0, 2]]]),
  ('partial repair guard 3',
   [[['HIST140', 'R1', 2], ['PHYS110', 'R2', 0], ['PHYS110', 'R2', 0], ['CHEM120', 'R2', 0],
     ['MATH101', 'R2', 0], ['BIO130', 'R2', 1], ['MATH101H', 'R2', 0]],
    {'MATH101': 60,
     'MATH101H': 120,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 120,
     'HIST140': 60,
     'ECON150': 120}],
   [2, [['R2', 0, 3]]]),
  ('boundary control 4', [[['A', 'R1', 0], ['B', 'R1', 1]], {'A': 60, 'B': 90}], [0, []]),
  ('boundary control 5', [[['A', 'R1', 0], ['B', 'R1', 0]], {'A': 60, 'B': 60}], [0, []]),
  ('normal control 6',
   [[['CHEM120', 'R1', 2], ['MATH101H', 'R1', 1], ['BIO130', 'R2', 0]],
    {'MATH101': 90,
     'MATH101H': 60,
     'PHYS110': 60,
     'CHEM120': 120,
     'BIO130': 90,
     'HIST140': 60,
     'ECON150': 60}],
   [0, []]),
  ('normal control 7',
   [[['MATH101', 'R1', 2], ['MATH101', 'R1', 2], ['BIO130', 'R1', 1], ['ECON150', 'R2', 1],
     ['CHEM120', 'R1', 2], ['MATH101', 'R1', 1]],
    {'MATH101': 90,
     'MATH101H': 120,
     'PHYS110': 60,
     'CHEM120': 90,
     'BIO130': 120,
     'HIST140': 120,
     'ECON150': 90}],
   [1, [['R1', 1, 2]]]),
  ('normal control 8',
   [[['HIST140', 'R1', 0], ['CHEM120', 'R1', 2], ['HIST140', 'R2', 2], ['MATH101H', 'R1', 1],
     ['ECON150', 'R2', 1]],
    {'MATH101': 120,
     'MATH101H': 90,
     'PHYS110': 90,
     'CHEM120': 60,
     'BIO130': 90,
     'HIST140': 60,
     'ECON150': 90}],
   [0, []])]]
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: penalty per room 1[2, [['R1', 0, 3]]][2, [['R1', 0, 3]]]Passed
regression variant: penalty per room 2[3, [['R2', 0, 2], ['R2', 1, 3]]][3, [['R2', 0, 2], ['R2', 1, 3]]]Passed
partial repair guard 3[2, [['R2', 0, 3]]][2, [['R2', 0, 3]]]Passed
boundary control 4[0, []][0, []]Passed
boundary control 5[0, []][0, []]Passed
normal control 6[0, []][0, []]Passed
normal control 7[0, []][0, []]Passed
normal control 8[1, [['R1', 2, 2]]][1, [['R1', 2, 2]]]Passed

SHA-256 / 481b274fe5c995525d9dbbcc5c0989bd177ad0e748d69dc307220f727b678d9b

Verification & scope

Stipulated toy exam-timetabling rule set for a bounded model; it does not claim conformance with any institution's regulations or a benchmark specification, and it performs no search or optimisation. 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 2026-09-29T14:52:05.638446+00:00.

Case digest / 16c6e4d78e25806555eea4d97038f2693500e4fda4d1d948bbeaea786a1a7325