FA-93136 / EV charging session scheduling / Open access
Weekly recurring charging windows: previous weekday wrap · case 01
Overnight windows continue into the wrong morning.
ROOT CAUSE
The after-midnight tail is looked up on the following weekday instead of the preceding one.
VERIFIED REPAIR
Use (day - 1) % 7 as the start day of the tail.
Unsuccessful approach: Clamping at Monday instead of wrapping breaks Sunday night windows.
Case contract
rules are [day_mask, start, end] with bit 0 = Monday .. bit 6 = Sunday. start < end is a same-day window [start, end); start == end means the whole selected day; start > end crosses midnight and belongs to its start day (Sunday continues into Monday). Return the sorted indices of rules allowing charging at (day 0..6, minute 0..1439).
Why this case matters
Depot, workplace and public EV chargers schedule sessions against prices, circuit limits and departure deadlines; a wrong decision silently strands a driver or overloads a feeder.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(rules, day, minute):
hits = []
for i, (mask, s, e) in enumerate(rules):
today = mask >> day & 1
yday = mask >> (day + 1) % 7 & 1
if s == e:
if today:
hits.append(i)
elif s < e:
if today and s <= minute < e:
hits.append(i)
elif (today and minute >= s) or (yday and minute < e):
hits.append(i)
return hits
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[50, 1080, 60], [92, 0, 420], [118, 1080, 1320]], 0, 30],
[]],
['regression: previous weekday wrap (partial repair)',
[[[72, 0, 1380], [114, 1380, 1080], [82, 1320, 60], [68, 1080, 1380]], 0, 900], [1]],
['control 1', [[[75, 1380, 360]], 0, 1379], []],
['control 2', [[[26, 1380, 420], [118, 360, 0], [104, 1080, 1080]], 3, 0], [2]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap',
[[[18, 60, 0], [118, 1080, 0], [124, 60, 360], [93, 1080, 60]], 4, 0], [3]],
['regression: previous weekday wrap (partial repair)', [[[19, 1380, 1080]], 0, 61], []],
['control 1', [[[28, 1320, 1080], [123, 420, 1380], [9, 1380, 0]], 6, 359], []],
['control 2', [[[98, 1080, 0], [121, 1380, 360], [62, 360, 0], [52, 1080, 0]], 2, 1079], [2]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[4, 1380, 1320], [39, 0, 420], [94, 60, 1380]], 1, 900],
[2]],
['regression: previous weekday wrap (partial repair)',
[[[67, 1380, 420], [25, 60, 0], [87, 1320, 360], [82, 1320, 420]], 0, 359], [0, 1, 2, 3]],
['control 1', [[[103, 0, 360], [65, 360, 1380], [37, 1080, 1080]], 4, 60], []],
['control 2', [[[52, 420, 1320], [97, 1080, 360]], 0, 0], [1]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[124, 0, 0], [53, 1320, 360], [89, 60, 60]], 4, 30],
[0, 2]],
['regression: previous weekday wrap (partial repair)',
[[[67, 1380, 420], [25, 60, 0], [87, 1320, 360], [82, 1320, 420]], 0, 359], [0, 1, 2, 3]],
['control 1', [[[105, 420, 360], [31, 1380, 1320], [47, 1080, 1320]], 4, 60], [0, 1]],
['control 2', [[[59, 360, 60], [45, 420, 60]], 5, 360], [0]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[51, 360, 1080], [116, 1320, 420]], 0, 60], [1]],
['regression: previous weekday wrap (partial repair)',
[[[68, 1320, 360], [42, 360, 360], [95, 0, 360], [40, 1380, 60]], 0, 359], [0, 2]],
['control 1', [[[51, 360, 60], [78, 1080, 1080], [25, 1320, 360], [11, 360, 0]], 2, 1380], [1]],
['control 2', [[[16, 1380, 0]], 1, 360], []]]]
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 |
|---|---|---|---|
| boundary: Monday morning after Sunday night window | [] | [0] | Failed |
| boundary: same-day window end minute | [] | [] | Passed |
| boundary: whole-day rule | [0] | [0] | Passed |
| regression: previous weekday wrap | [0] | [] | Failed |
| regression: previous weekday wrap (partial repair) | [1] | [1] | Passed |
| control 1 | [] | [] | Passed |
| control 2 | [0, 2] | [2] | Failed |
SHA-256 / 6545f69c6db9ade329ff3d44f6519f9e748b447d2c007a0933a80b1924659f73
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(rules, day, minute):
hits = []
for i, (mask, s, e) in enumerate(rules):
today = mask >> day & 1
yday = mask >> max(day - 1, 0) & 1
if s == e:
if today:
hits.append(i)
elif s < e:
if today and s <= minute < e:
hits.append(i)
elif (today and minute >= s) or (yday and minute < e):
hits.append(i)
return hits
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[50, 1080, 60], [92, 0, 420], [118, 1080, 1320]], 0, 30],
[]],
['regression: previous weekday wrap (partial repair)',
[[[72, 0, 1380], [114, 1380, 1080], [82, 1320, 60], [68, 1080, 1380]], 0, 900], [1]],
['control 1', [[[75, 1380, 360]], 0, 1379], []],
['control 2', [[[26, 1380, 420], [118, 360, 0], [104, 1080, 1080]], 3, 0], [2]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap',
[[[18, 60, 0], [118, 1080, 0], [124, 60, 360], [93, 1080, 60]], 4, 0], [3]],
['regression: previous weekday wrap (partial repair)', [[[19, 1380, 1080]], 0, 61], []],
['control 1', [[[28, 1320, 1080], [123, 420, 1380], [9, 1380, 0]], 6, 359], []],
['control 2', [[[98, 1080, 0], [121, 1380, 360], [62, 360, 0], [52, 1080, 0]], 2, 1079], [2]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[4, 1380, 1320], [39, 0, 420], [94, 60, 1380]], 1, 900],
[2]],
['regression: previous weekday wrap (partial repair)',
[[[67, 1380, 420], [25, 60, 0], [87, 1320, 360], [82, 1320, 420]], 0, 359], [0, 1, 2, 3]],
['control 1', [[[103, 0, 360], [65, 360, 1380], [37, 1080, 1080]], 4, 60], []],
['control 2', [[[52, 420, 1320], [97, 1080, 360]], 0, 0], [1]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[124, 0, 0], [53, 1320, 360], [89, 60, 60]], 4, 30],
[0, 2]],
['regression: previous weekday wrap (partial repair)',
[[[67, 1380, 420], [25, 60, 0], [87, 1320, 360], [82, 1320, 420]], 0, 359], [0, 1, 2, 3]],
['control 1', [[[105, 420, 360], [31, 1380, 1320], [47, 1080, 1320]], 4, 60], [0, 1]],
['control 2', [[[59, 360, 60], [45, 420, 60]], 5, 360], [0]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[51, 360, 1080], [116, 1320, 420]], 0, 60], [1]],
['regression: previous weekday wrap (partial repair)',
[[[68, 1320, 360], [42, 360, 360], [95, 0, 360], [40, 1380, 60]], 0, 359], [0, 2]],
['control 1', [[[51, 360, 60], [78, 1080, 1080], [25, 1320, 360], [11, 360, 0]], 2, 1380], [1]],
['control 2', [[[16, 1380, 0]], 1, 360], []]]]
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 |
|---|---|---|---|
| boundary: Monday morning after Sunday night window | [] | [0] | Failed |
| boundary: same-day window end minute | [] | [] | Passed |
| boundary: whole-day rule | [0] | [0] | Passed |
| regression: previous weekday wrap | [] | [] | Passed |
| regression: previous weekday wrap (partial repair) | [] | [1] | Failed |
| control 1 | [] | [] | Passed |
| control 2 | [2] | [2] | Passed |
SHA-256 / d05fa09e9041f2d5c09d75d0701bae9d003128f70bc4c3c27d585c2f8e68420f
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(rules, day, minute):
hits = []
for i, (mask, s, e) in enumerate(rules):
today = mask >> day & 1
yday = mask >> (day - 1) % 7 & 1
if s == e:
if today:
hits.append(i)
elif s < e:
if today and s <= minute < e:
hits.append(i)
elif (today and minute >= s) or (yday and minute < e):
hits.append(i)
return hits
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[50, 1080, 60], [92, 0, 420], [118, 1080, 1320]], 0, 30],
[]],
['regression: previous weekday wrap (partial repair)',
[[[72, 0, 1380], [114, 1380, 1080], [82, 1320, 60], [68, 1080, 1380]], 0, 900], [1]],
['control 1', [[[75, 1380, 360]], 0, 1379], []],
['control 2', [[[26, 1380, 420], [118, 360, 0], [104, 1080, 1080]], 3, 0], [2]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap',
[[[18, 60, 0], [118, 1080, 0], [124, 60, 360], [93, 1080, 60]], 4, 0], [3]],
['regression: previous weekday wrap (partial repair)', [[[19, 1380, 1080]], 0, 61], []],
['control 1', [[[28, 1320, 1080], [123, 420, 1380], [9, 1380, 0]], 6, 359], []],
['control 2', [[[98, 1080, 0], [121, 1380, 360], [62, 360, 0], [52, 1080, 0]], 2, 1079], [2]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[4, 1380, 1320], [39, 0, 420], [94, 60, 1380]], 1, 900],
[2]],
['regression: previous weekday wrap (partial repair)',
[[[67, 1380, 420], [25, 60, 0], [87, 1320, 360], [82, 1320, 420]], 0, 359], [0, 1, 2, 3]],
['control 1', [[[103, 0, 360], [65, 360, 1380], [37, 1080, 1080]], 4, 60], []],
['control 2', [[[52, 420, 1320], [97, 1080, 360]], 0, 0], [1]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[124, 0, 0], [53, 1320, 360], [89, 60, 60]], 4, 30],
[0, 2]],
['regression: previous weekday wrap (partial repair)',
[[[67, 1380, 420], [25, 60, 0], [87, 1320, 360], [82, 1320, 420]], 0, 359], [0, 1, 2, 3]],
['control 1', [[[105, 420, 360], [31, 1380, 1320], [47, 1080, 1320]], 4, 60], [0, 1]],
['control 2', [[[59, 360, 60], [45, 420, 60]], 5, 360], [0]]],
[['boundary: Monday morning after Sunday night window', [[[64, 1320, 360]], 0, 100], [0]],
['boundary: same-day window end minute', [[[127, 60, 360]], 3, 360], []],
['boundary: whole-day rule', [[[4, 420, 420]], 2, 5], [0]],
['regression: previous weekday wrap', [[[51, 360, 1080], [116, 1320, 420]], 0, 60], [1]],
['regression: previous weekday wrap (partial repair)',
[[[68, 1320, 360], [42, 360, 360], [95, 0, 360], [40, 1380, 60]], 0, 359], [0, 2]],
['control 1', [[[51, 360, 60], [78, 1080, 1080], [25, 1320, 360], [11, 360, 0]], 2, 1380], [1]],
['control 2', [[[16, 1380, 0]], 1, 360], []]]]
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 |
|---|---|---|---|
| boundary: Monday morning after Sunday night window | [0] | [0] | Passed |
| boundary: same-day window end minute | [] | [] | Passed |
| boundary: whole-day rule | [0] | [0] | Passed |
| regression: previous weekday wrap | [] | [] | Passed |
| regression: previous weekday wrap (partial repair) | [1] | [1] | Passed |
| control 1 | [] | [] | Passed |
| control 2 | [2] | [2] | Passed |
SHA-256 / baa1420dcaad1af9c2d5ff5e586d06312e7fb049554eef3090b112aa0b706a83
Verification & scope
Deterministic stipulated toy contract for teaching; no claim of conformance with any standard, vendor protocol or production controller. 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 2026-09-29T14:51:52.339220+00:00.
Case digest / df392efb70454eab603e96111b7102900b8a34721d080a787d678f9f47872579