FA-92466 / HVAC thermostat control / Open access
Schedule event does not apply at its own start minute · case 01
At exactly the programmed time the thermostat still shows the previous period.
ROOT CAUSE
The lookup takes events strictly before the query time.
VERIFIED REPAIR
An event is active from its own minute (et <= t).
Unsuccessful approach: Special-casing midnight events leaves other exact-minute changes late.
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((d * 1440 + m, sp) for d, m, sp in schedule)
out = []
for d, m in queries:
t = d * 1440 + 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: 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: 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: 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['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: 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: 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 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 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: 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['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: 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 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: 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]],
['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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: 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 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]]]]
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, 640, 620, 700, 700, 640] | [640, 700, 620, 700, 640, 640] | Failed |
| regression: unsorted entries | [700, 640, 680, 640] | [700, 640, 680, 680] | Failed |
| control: late evening event | [600, 600, 690] | [600, 600, 690] | Passed |
| control: tuesday first event | [680, 620, 680] | [680, 620, 680] | Passed |
| regression: scenario 1 | [720, 700, 700, 720, 700, 600] | [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, 650, 720, 720, 720, 720, 720, 720, 650] | [650, 650, 720, 720, 720, 720, 720, 600, 720] | Failed |
| regression: scenario 4 | [600, 720, 650, 650, 650, 680, 650] | [600, 720, 650, 650, 650, 720, 650] | Failed |
SHA-256 / e3206525c512f1dc851ee8e9d411b9cdbf2160c146669e3fd17bb214f9dc9c4a
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 * 1440 + m, sp) for d, m, sp in schedule)
out = []
for d, m in queries:
t = d * 1440 + m
current = events[-1][1]
for et, sp in events:
if et < t or (et == t and et % 1440 == 0):
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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: 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: 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: 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['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: 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: 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 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 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: 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['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: 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 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: 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]],
['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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: 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 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]]]]
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, 640, 620, 700, 700, 640] | [640, 700, 620, 700, 640, 640] | Failed |
| regression: unsorted entries | [700, 640, 680, 640] | [700, 640, 680, 680] | Failed |
| control: late evening event | [600, 600, 690] | [600, 600, 690] | Passed |
| control: tuesday first event | [680, 620, 680] | [680, 620, 680] | Passed |
| regression: scenario 1 | [720, 700, 700, 720, 700, 600] | [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, 650, 720, 720, 720, 720, 720, 720, 650] | [650, 650, 720, 720, 720, 720, 720, 600, 720] | Failed |
| regression: scenario 4 | [600, 720, 650, 650, 650, 680, 650] | [600, 720, 650, 650, 650, 720, 650] | Failed |
SHA-256 / 449a823f436d87dc6c064dbeb478826aba9c14b14a21349c91f64723fc1a46ed
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(schedule, queries):
events = sorted((d * 1440 + m, sp) for d, m, sp in schedule)
out = []
for d, m in queries:
t = d * 1440 + 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: 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: 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: 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['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: 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: 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 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 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: 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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: tuesday first event',
[[[1, 360, 700], [1, 1320, 620], [3, 600, 680]], [[1, 100], [2, 100], [0, 500]]],
[680, 620, 680]],
['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: 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 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: 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]],
['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]],
['control: late evening event',
[[[1, 1300, 600], [2, 200, 690]], [[1, 1350], [2, 100], [2, 300]]],
[600, 600, 690]],
['control: 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 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]]]]
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, 620, 700, 640, 640] | [640, 700, 620, 700, 640, 640] | Passed |
| regression: unsorted entries | [700, 640, 680, 680] | [700, 640, 680, 680] | Passed |
| control: late evening event | [600, 600, 690] | [600, 600, 690] | Passed |
| control: tuesday first event | [680, 620, 680] | [680, 620, 680] | Passed |
| 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 / 7ccbd94da1064da385f0f15f8e17a1ee5e0b14f06ec9d4597a93bc3246b9adfd
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 2026-09-29T14:51:45.877838+00:00.
Case digest / 677e11d63dc9936962b9baaae278e5f2b4b017ae63dbde39e42b3cc11968fce5