FA-92471 / HVAC thermostat control / Open access
Schedule lookup ignores the weekday of events · case 01
A weekend event overrides weekday times because only the minute of day is compared.
ROOT CAUSE
Event and query times drop the day component.
THE FAILURE
Event and query times drop the day component.
Unsuccessful approach: Weighting days by 1000 minutes lets late-evening events sort into the following day.
Case contract
Programmable thermostat weekly schedule. schedule is an unordered list of [day 0=Monday..6, minute_of_day, setpoint]; queries are [day, minute]. The active setpoint is that of the latest event at or before the query time within the week; if none, the last event of the week carries over from the previous week. Return the active setpoint per query.
Why this case matters
Residential and light-commercial thermostats make these decisions sample by sample; each defect changes equipment calls in a way that shows up as short cycling, comfort complaints or equipment stress.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(schedule, queries):
events = sorted((m, sp) for d, m, sp in schedule)
out = []
for d, m in queries:
t = m
current = events[-1][1]
for et, sp in events:
if et <= t:
current = sp
else:
break
out.append(current)
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['regression: week wrap and exact times',
[[[0, 360, 700], [0, 1320, 620], [4, 360, 700], [4, 1380, 640]],
[[0, 0], [0, 360], [1, 100], [4, 1379], [4, 1380], [6, 1439]]],
[640, 700, 620, 700, 640, 640]],
['regression: unsorted entries',
[[[2, 1200, 640], [2, 420, 700], [5, 480, 680]], [[2, 600], [3, 0], [1, 1439], [5, 480]]],
[700, 640, 680, 680]],
['regression: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['regression: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['regression: scenario 1',
[[[3, 1140, 720], [5, 1170, 700], [5, 510, 600]],
[[3, 1242], [2, 953], [2, 1283], [4, 1029], [3, 1140], [5, 1170]]],
[720, 700, 700, 720, 720, 700]],
['control: scenario 2',
[[[3, 1200, 650], [1, 690, 650]],
[[1, 1355], [2, 28], [0, 994], [6, 594], [4, 142], [3, 1098], [3, 630], [3, 1200], [1, 690]]],
[650, 650, 650, 650, 650, 650, 650, 650, 650]],
['regression: scenario 3',
[[[2, 480, 600], [6, 900, 720], [3, 750, 650]],
[[5, 771], [4, 147], [0, 469], [1, 1048], [0, 854], [0, 1005], [2, 379], [2, 480], [6, 900]]],
[650, 650, 720, 720, 720, 720, 720, 600, 720]],
['regression: scenario 4',
[[[5, 420, 720], [2, 420, 650], [4, 0, 680], [6, 750, 650], [4, 1170, 680], [4, 90, 680], [4, 150, 600]],
[[4, 703], [5, 1293], [2, 238], [6, 1060], [2, 806], [5, 420], [2, 420]]],
[600, 720, 650, 650, 650, 720, 650]]],
[['regression: unsorted entries',
[[[2, 1200, 640], [2, 420, 700], [5, 480, 680]], [[2, 600], [3, 0], [1, 1439], [5, 480]]],
[700, 640, 680, 680]],
['regression: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['regression: week wrap and exact times',
[[[0, 360, 700], [0, 1320, 620], [4, 360, 700], [4, 1380, 640]],
[[0, 0], [0, 360], [1, 100], [4, 1379], [4, 1380], [6, 1439]]],
[640, 700, 620, 700, 640, 640]],
['regression: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['regression: scenario 1',
[[[2, 240, 600], [1, 810, 620], [4, 1320, 620], [5, 690, 680], [0, 960, 720], [5, 1230, 680]],
[[3, 1330], [0, 340], [5, 693], [6, 1037], [2, 240], [1, 810]]],
[600, 680, 680, 680, 600, 620]],
['regression: scenario 2',
[[[0, 360, 600], [2, 210, 720], [2, 1200, 620], [5, 330, 680], [6, 1410, 680], [4, 0, 620], [1, 390, 720]],
[[1, 1030], [0, 695], [3, 1138], [3, 1242], [0, 264], [0, 360], [2, 210]]],
[720, 600, 620, 620, 680, 600, 720]],
['regression: scenario 3',
[[[2, 1290, 720], [1, 300, 600], [4, 900, 700], [4, 960, 650], [5, 870, 650]],
[[4, 157], [3, 57], [4, 1382], [5, 1288], [2, 1290], [1, 300]]],
[720, 720, 650, 650, 720, 600]],
['regression: scenario 4',
[[[2, 810, 700], [3, 180, 700], [2, 1260, 600], [5, 960, 720], [3, 1230, 700]],
[[1, 1267], [2, 448], [6, 679], [6, 778], [1, 1017], [0, 371], [2, 810], [3, 180]]],
[720, 720, 720, 720, 720, 720, 700, 700]]],
[['regression: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['regression: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['regression: week wrap and exact times',
[[[0, 360, 700], [0, 1320, 620], [4, 360, 700], [4, 1380, 640]],
[[0, 0], [0, 360], [1, 100], [4, 1379], [4, 1380], [6, 1439]]],
[640, 700, 620, 700, 640, 640]],
['regression: unsorted entries',
[[[2, 1200, 640], [2, 420, 700], [5, 480, 680]], [[2, 600], [3, 0], [1, 1439], [5, 480]]],
[700, 640, 680, 680]],
['regression: scenario 1',
[[[2, 870, 650], [2, 1260, 700], [0, 1050, 600]],
[[6, 998], [2, 333], [4, 1015], [1, 556], [2, 389], [5, 846], [4, 1066], [3, 53], [2, 870], [2, 1260]]],
[700, 600, 700, 600, 600, 700, 700, 700, 650, 700]],
['regression: scenario 2',
[[[5, 60, 600], [0, 810, 680]], [[3, 524], [2, 1316], [2, 829], [1, 1320], [5, 60], [0, 810]]],
[680, 680, 680, 680, 600, 680]],
['regression: scenario 3',
[[[5, 390, 700], [1, 990, 600], [5, 1260, 720], [1, 720, 720], [0, 840, 650], [0, 330, 700], [2, 0, 600]],
[[3, 1359], [2, 341], [5, 1109], [1, 674], [5, 884], [6, 597], [6, 156], [6, 1198], [5, 390], [1, 990]]],
[600, 600, 700, 650, 700, 720, 720, 720, 700, 600]],
['regression: scenario 4',
[[[1, 960, 650], [0, 1080, 600], [3, 60, 620], [3, 720, 600], [5, 180, 600], [5, 420, 680]],
[[5, 1036], [6, 745], [3, 680], [3, 505], [1, 960], [0, 1080]]],
[680, 680, 620, 620, 650, 600]]],
[['regression: scenario 1',
[[[0, 1050, 720], [6, 0, 650]],
[[3, 1304], [4, 593], [3, 411], [0, 1396], [2, 508], [2, 1205], [1, 360], [5, 1314], [0, 1050], [6, 0]]],
[720, 720, 720, 720, 720, 720, 720, 720, 720, 650]],
['regression: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['regression: week wrap and exact times',
[[[0, 360, 700], [0, 1320, 620], [4, 360, 700], [4, 1380, 640]],
[[0, 0], [0, 360], [1, 100], [4, 1379], [4, 1380], [6, 1439]]],
[640, 700, 620, 700, 640, 640]],
['regression: unsorted entries',
[[[2, 1200, 640], [2, 420, 700], [5, 480, 680]], [[2, 600], [3, 0], [1, 1439], [5, 480]]],
[700, 640, 680, 680]],
['regression: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['regression: scenario 2',
[[[0, 450, 600],
[2, 480, 600],
[0, 510, 720],
[4, 690, 700],
[1, 1020, 680],
[6, 330, 620],
[2, 120, 720]],
[[1, 971], [4, 1250], [6, 999], [5, 1034], [4, 1097], [1, 624], [1, 447], [0, 450], [2, 480]]],
[720, 700, 620, 700, 700, 720, 720, 600, 600]],
['regression: scenario 3',
[[[3, 1260, 720], [2, 450, 680]],
[[3, 594], [1, 866], [2, 623], [6, 394], [4, 309], [4, 881], [3, 1260], [2, 450]]],
[680, 720, 680, 720, 720, 720, 720, 680]],
['regression: scenario 4',
[[[5, 1170, 600], [3, 1200, 720], [6, 480, 700], [1, 1380, 700]],
[[2, 1118], [1, 1160], [2, 36], [2, 1281], [3, 262], [5, 1170], [3, 1200]]],
[700, 700, 700, 700, 700, 600, 720]]],
[['regression: scenario 2',
[[[3, 330, 700],
[1, 960, 700],
[2, 540, 650],
[3, 810, 600],
[5, 1080, 700],
[1, 300, 680],
[6, 1020, 650]],
[[6, 811], [3, 629], [0, 1103], [3, 1144], [4, 229], [3, 330], [1, 960]]],
[700, 700, 650, 600, 600, 700, 700]],
['regression: scenario 3',
[[[1, 30, 650],
[3, 0, 620],
[3, 300, 700],
[5, 1050, 720],
[3, 1410, 700],
[4, 1380, 680],
[4, 240, 700],
[4, 1350, 620]],
[[0, 1419], [0, 281], [0, 1177], [3, 645], [6, 230], [0, 799], [1, 30], [3, 0]]],
[720, 720, 720, 700, 720, 720, 650, 620]],
['regression: week wrap and exact times',
[[[0, 360, 700], [0, 1320, 620], [4, 360, 700], [4, 1380, 640]],
[[0, 0], [0, 360], [1, 100], [4, 1379], [4, 1380], [6, 1439]]],
[640, 700, 620, 700, 640, 640]],
['regression: unsorted entries',
[[[2, 1200, 640], [2, 420, 700], [5, 480, 680]], [[2, 600], [3, 0], [1, 1439], [5, 480]]],
[700, 640, 680, 680]],
['regression: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['regression: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['regression: scenario 1',
[[[5, 1020, 600], [4, 900, 620], [5, 510, 680], [1, 1200, 680]],
[[4, 860], [4, 862], [4, 1233], [4, 668], [4, 180], [0, 208], [2, 1192], [5, 1020], [4, 900]]],
[680, 680, 620, 680, 680, 600, 680, 600, 620]],
['regression: scenario 4',
[[[1, 1050, 700],
[5, 1080, 700],
[4, 1350, 680],
[2, 720, 680],
[0, 840, 720],
[5, 1260, 600],
[2, 750, 650],
[0, 540, 600]],
[[6, 269], [5, 893], [0, 381], [1, 1193], [4, 963], [5, 504], [3, 819], [1, 1050], [5, 1080]]],
[600, 680, 600, 700, 650, 680, 650, 700, 700]]]]
for label, args, expected in fixtures[N-1]:
check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| regression: week wrap and exact times | [640, 700, 640, 620, 640, 640] | [640, 700, 620, 700, 640, 640] | Failed |
| regression: unsorted entries | [680, 640, 640, 680] | [700, 640, 680, 680] | Failed |
| regression: late evening event | [600, 600, 690] | [600, 600, 690] | Passed |
| regression: tuesday first event | [620, 620, 700] | [680, 620, 680] | Failed |
| regression: scenario 1 | [700, 600, 700, 600, 720, 700] | [720, 700, 700, 720, 720, 700] | Failed |
| control: scenario 2 | [650, 650, 650, 650, 650, 650, 650, 650, 650] | [650, 650, 650, 650, 650, 650, 650, 650, 650] | Passed |
| regression: scenario 3 | [650, 720, 720, 720, 650, 720, 720, 600, 720] | [650, 650, 720, 720, 720, 720, 720, 600, 720] | Failed |
| regression: scenario 4 | [720, 680, 600, 650, 650, 720, 720] | [600, 720, 650, 650, 650, 720, 650] | Failed |
SHA-256 / b4b0b93372c8c1d2448f7e063ba9a0329276c17f67301fb7f44a5428a21c6864
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(schedule, queries):
events = sorted((d * 1000 + m, sp) for d, m, sp in schedule)
out = []
for d, m in queries:
t = d * 1000 + m
current = events[-1][1]
for et, sp in events:
if et <= t:
current = sp
else:
break
out.append(current)
return out
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['regression: week wrap and exact times',
[[[0, 360, 700], [0, 1320, 620], [4, 360, 700], [4, 1380, 640]],
[[0, 0], [0, 360], [1, 100], [4, 1379], [4, 1380], [6, 1439]]],
[640, 700, 620, 700, 640, 640]],
['regression: unsorted entries',
[[[2, 1200, 640], [2, 420, 700], [5, 480, 680]], [[2, 600], [3, 0], [1, 1439], [5, 480]]],
[700, 640, 680, 680]],
['regression: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['regression: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['regression: scenario 1',
[[[3, 1140, 720], [5, 1170, 700], [5, 510, 600]],
[[3, 1242], [2, 953], [2, 1283], [4, 1029], [3, 1140], [5, 1170]]],
[720, 700, 700, 720, 720, 700]],
['control: scenario 2',
[[[3, 1200, 650], [1, 690, 650]],
[[1, 1355], [2, 28], [0, 994], [6, 594], [4, 142], [3, 1098], [3, 630], [3, 1200], [1, 690]]],
[650, 650, 650, 650, 650, 650, 650, 650, 650]],
['regression: scenario 3',
[[[2, 480, 600], [6, 900, 720], [3, 750, 650]],
[[5, 771], [4, 147], [0, 469], [1, 1048], [0, 854], [0, 1005], [2, 379], [2, 480], [6, 900]]],
[650, 650, 720, 720, 720, 720, 720, 600, 720]],
['regression: scenario 4',
[[[5, 420, 720], [2, 420, 650], [4, 0, 680], [6, 750, 650], [4, 1170, 680], [4, 90, 680], [4, 150, 600]],
[[4, 703], [5, 1293], [2, 238], [6, 1060], [2, 806], [5, 420], [2, 420]]],
[600, 720, 650, 650, 650, 720, 650]]],
[['regression: unsorted entries',
[[[2, 1200, 640], [2, 420, 700], [5, 480, 680]], [[2, 600], [3, 0], [1, 1439], [5, 480]]],
[700, 640, 680, 680]],
['regression: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['regression: week wrap and exact times',
[[[0, 360, 700], [0, 1320, 620], [4, 360, 700], [4, 1380, 640]],
[[0, 0], [0, 360], [1, 100], [4, 1379], [4, 1380], [6, 1439]]],
[640, 700, 620, 700, 640, 640]],
['regression: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['regression: scenario 1',
[[[2, 240, 600], [1, 810, 620], [4, 1320, 620], [5, 690, 680], [0, 960, 720], [5, 1230, 680]],
[[3, 1330], [0, 340], [5, 693], [6, 1037], [2, 240], [1, 810]]],
[600, 680, 680, 680, 600, 620]],
['regression: scenario 2',
[[[0, 360, 600], [2, 210, 720], [2, 1200, 620], [5, 330, 680], [6, 1410, 680], [4, 0, 620], [1, 390, 720]],
[[1, 1030], [0, 695], [3, 1138], [3, 1242], [0, 264], [0, 360], [2, 210]]],
[720, 600, 620, 620, 680, 600, 720]],
['regression: scenario 3',
[[[2, 1290, 720], [1, 300, 600], [4, 900, 700], [4, 960, 650], [5, 870, 650]],
[[4, 157], [3, 57], [4, 1382], [5, 1288], [2, 1290], [1, 300]]],
[720, 720, 650, 650, 720, 600]],
['regression: scenario 4',
[[[2, 810, 700], [3, 180, 700], [2, 1260, 600], [5, 960, 720], [3, 1230, 700]],
[[1, 1267], [2, 448], [6, 679], [6, 778], [1, 1017], [0, 371], [2, 810], [3, 180]]],
[720, 720, 720, 720, 720, 720, 700, 700]]],
[['regression: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['regression: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['regression: week wrap and exact times',
[[[0, 360, 700], [0, 1320, 620], [4, 360, 700], [4, 1380, 640]],
[[0, 0], [0, 360], [1, 100], [4, 1379], [4, 1380], [6, 1439]]],
[640, 700, 620, 700, 640, 640]],
['regression: unsorted entries',
[[[2, 1200, 640], [2, 420, 700], [5, 480, 680]], [[2, 600], [3, 0], [1, 1439], [5, 480]]],
[700, 640, 680, 680]],
['regression: scenario 1',
[[[2, 870, 650], [2, 1260, 700], [0, 1050, 600]],
[[6, 998], [2, 333], [4, 1015], [1, 556], [2, 389], [5, 846], [4, 1066], [3, 53], [2, 870], [2, 1260]]],
[700, 600, 700, 600, 600, 700, 700, 700, 650, 700]],
['regression: scenario 2',
[[[5, 60, 600], [0, 810, 680]], [[3, 524], [2, 1316], [2, 829], [1, 1320], [5, 60], [0, 810]]],
[680, 680, 680, 680, 600, 680]],
['regression: scenario 3',
[[[5, 390, 700], [1, 990, 600], [5, 1260, 720], [1, 720, 720], [0, 840, 650], [0, 330, 700], [2, 0, 600]],
[[3, 1359], [2, 341], [5, 1109], [1, 674], [5, 884], [6, 597], [6, 156], [6, 1198], [5, 390], [1, 990]]],
[600, 600, 700, 650, 700, 720, 720, 720, 700, 600]],
['regression: scenario 4',
[[[1, 960, 650], [0, 1080, 600], [3, 60, 620], [3, 720, 600], [5, 180, 600], [5, 420, 680]],
[[5, 1036], [6, 745], [3, 680], [3, 505], [1, 960], [0, 1080]]],
[680, 680, 620, 620, 650, 600]]],
[['regression: scenario 1',
[[[0, 1050, 720], [6, 0, 650]],
[[3, 1304], [4, 593], [3, 411], [0, 1396], [2, 508], [2, 1205], [1, 360], [5, 1314], [0, 1050], [6, 0]]],
[720, 720, 720, 720, 720, 720, 720, 720, 720, 650]],
['regression: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['regression: week wrap and exact times',
[[[0, 360, 700], [0, 1320, 620], [4, 360, 700], [4, 1380, 640]],
[[0, 0], [0, 360], [1, 100], [4, 1379], [4, 1380], [6, 1439]]],
[640, 700, 620, 700, 640, 640]],
['regression: unsorted entries',
[[[2, 1200, 640], [2, 420, 700], [5, 480, 680]], [[2, 600], [3, 0], [1, 1439], [5, 480]]],
[700, 640, 680, 680]],
['regression: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['regression: scenario 2',
[[[0, 450, 600],
[2, 480, 600],
[0, 510, 720],
[4, 690, 700],
[1, 1020, 680],
[6, 330, 620],
[2, 120, 720]],
[[1, 971], [4, 1250], [6, 999], [5, 1034], [4, 1097], [1, 624], [1, 447], [0, 450], [2, 480]]],
[720, 700, 620, 700, 700, 720, 720, 600, 600]],
['regression: scenario 3',
[[[3, 1260, 720], [2, 450, 680]],
[[3, 594], [1, 866], [2, 623], [6, 394], [4, 309], [4, 881], [3, 1260], [2, 450]]],
[680, 720, 680, 720, 720, 720, 720, 680]],
['regression: scenario 4',
[[[5, 1170, 600], [3, 1200, 720], [6, 480, 700], [1, 1380, 700]],
[[2, 1118], [1, 1160], [2, 36], [2, 1281], [3, 262], [5, 1170], [3, 1200]]],
[700, 700, 700, 700, 700, 600, 720]]],
[['regression: scenario 2',
[[[3, 330, 700],
[1, 960, 700],
[2, 540, 650],
[3, 810, 600],
[5, 1080, 700],
[1, 300, 680],
[6, 1020, 650]],
[[6, 811], [3, 629], [0, 1103], [3, 1144], [4, 229], [3, 330], [1, 960]]],
[700, 700, 650, 600, 600, 700, 700]],
['regression: scenario 3',
[[[1, 30, 650],
[3, 0, 620],
[3, 300, 700],
[5, 1050, 720],
[3, 1410, 700],
[4, 1380, 680],
[4, 240, 700],
[4, 1350, 620]],
[[0, 1419], [0, 281], [0, 1177], [3, 645], [6, 230], [0, 799], [1, 30], [3, 0]]],
[720, 720, 720, 700, 720, 720, 650, 620]],
['regression: week wrap and exact times',
[[[0, 360, 700], [0, 1320, 620], [4, 360, 700], [4, 1380, 640]],
[[0, 0], [0, 360], [1, 100], [4, 1379], [4, 1380], [6, 1439]]],
[640, 700, 620, 700, 640, 640]],
['regression: unsorted entries',
[[[2, 1200, 640], [2, 420, 700], [5, 480, 680]], [[2, 600], [3, 0], [1, 1439], [5, 480]]],
[700, 640, 680, 680]],
['regression: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['regression: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['regression: scenario 1',
[[[5, 1020, 600], [4, 900, 620], [5, 510, 680], [1, 1200, 680]],
[[4, 860], [4, 862], [4, 1233], [4, 668], [4, 180], [0, 208], [2, 1192], [5, 1020], [4, 900]]],
[680, 680, 620, 680, 680, 600, 680, 600, 620]],
['regression: scenario 4',
[[[1, 1050, 700],
[5, 1080, 700],
[4, 1350, 680],
[2, 720, 680],
[0, 840, 720],
[5, 1260, 600],
[2, 750, 650],
[0, 540, 600]],
[[6, 269], [5, 893], [0, 381], [1, 1193], [4, 963], [5, 504], [3, 819], [1, 1050], [5, 1080]]],
[600, 680, 600, 700, 650, 680, 650, 700, 700]]]]
for label, args, expected in fixtures[N-1]:
check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
| Boundary fixture | Actual | Expected | Outcome |
|---|---|---|---|
| regression: week wrap and exact times | [640, 700, 700, 700, 640, 640] | [640, 700, 620, 700, 640, 640] | Failed |
| regression: unsorted entries | [700, 700, 700, 680] | [700, 640, 680, 680] | Failed |
| regression: late evening event | [600, 600, 600] | [600, 600, 690] | Failed |
| regression: tuesday first event | [680, 700, 680] | [680, 620, 680] | Failed |
| regression: scenario 1 | [720, 700, 700, 720, 720, 700] | [720, 700, 700, 720, 720, 700] | Passed |
| control: scenario 2 | [650, 650, 650, 650, 650, 650, 650, 650, 650] | [650, 650, 650, 650, 650, 650, 650, 650, 650] | Passed |
| regression: scenario 3 | [650, 650, 720, 720, 720, 720, 720, 600, 720] | [650, 650, 720, 720, 720, 720, 720, 600, 720] | Passed |
| regression: scenario 4 | [600, 720, 650, 650, 650, 720, 650] | [600, 720, 650, 650, 650, 720, 650] | Passed |
SHA-256 / e485f5f0233b0aab8770da6dcbceef97302bb2f962e7dce064aec36fa185aac0
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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Sign in to the archive ↗Verification & scope
A deterministic bounded teaching model of one thermostat or HVAC controller decision evaluated per sample. Temperatures are integer tenths of a degree Fahrenheit unless stated otherwise. The contract is a stipulated toy convention, not a claim of conformance to any manufacturer, ASHRAE guideline or code. 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 2026-09-29T14:51:45.910783+00:00.
Case digest / 1ac09bdd5b647fb8eb52b8bf34332bb321a2fd2a412fb9fd530c858792f40c75