FA-59611 / Subscription proration billing / Open access
Sequential plan changes within one cycle: current price tracking · case 01
The second plan change credits the original plan instead of the plan in effect.
ROOT CAUSE
The current price is not advanced after a change.
VERIFIED REPAIR
Restore the contract rule at the current price tracking step: use `cur = p`.
Unsuccessful approach: The attempt sets the current price to the first change for every later change.
Case contract
Input {start, end, initial price, changes: [[t, price]]}. Changes are ordered by time; at equal times only the last applies. A change outside [start, end) or to the current price is ignored. Each effective change emits a credit line -(current*(end-t)/span) and a debit line new*(end-t)/span, magnitudes half-up, and the new price becomes current. Return the list of line amounts.
Why this case matters
Customers who change plans several times in a cycle must be credited for the plan they actually had at each change.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
span = x['end'] - x['start']
ch = sorted(x['changes'], key=lambda c: c[0])
dedup = []
for t, p in ch:
if dedup and dedup[-1][0] == t:
dedup[-1] = [t, p]
else:
dedup.append([t, p])
cur = x['initial']
lines = []
for t, p in dedup:
if t < x['start'] or t >= x['end'] or p == cur:
continue
left = x['end'] - t
lines.append(-((cur * left * 2 + span) // (2 * span)))
lines.append((p * left * 2 + span) // (2 * span))
cur = x['initial']
return lines
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression', {'start': 984, 'end': 1015, 'initial': 2000, 'changes': [[1001, 5000], [1014, 3956], [981, 1000]]}, [-903, 2258, -161, 128]), ('regression', {'start': 534, 'end': 565, 'initial': 5000, 'changes': [[565, 1007], [565, 1000], [539, 1000], [537, 2000]]}, [-4516, 1806, -1677, 839]), ('partial-repair probe', {'start': 198, 'end': 563, 'initial': 1000, 'changes': [[263, 5000], [461, 2011], [195, 5000], [493, 1242]]}, [-822, 4110, -1397, 562, -386, 238]), ('partial-repair probe', {'start': 358, 'end': 388, 'initial': 5000, 'changes': [[355, 4064], [386, 5000], [373, 2000]]}, [-2500, 1000, -133, 333]), ('normal control', {'start': 925, 'end': 955, 'initial': 1000, 'changes': [[940, 1000], [922, 5000]]}, []), ('normal control', {'start': 605, 'end': 636, 'initial': 1000, 'changes': [[610, 1000], [625, 5000], [602, 1000], [602, 2000]]}, [-355, 1774]), ('normal control', {'start': 446, 'end': 811, 'initial': 2000, 'changes': [[443, 5000]]}, []), ('normal control', {'start': 526, 'end': 557, 'initial': 5000, 'changes': []}, [])], [('regression', {'start': 198, 'end': 563, 'initial': 1000, 'changes': [[263, 5000], [461, 2011], [195, 5000], [493, 1242]]}, [-822, 4110, -1397, 562, -386, 238]), ('regression', {'start': 534, 'end': 565, 'initial': 5000, 'changes': [[565, 1007], [565, 1000], [539, 1000], [537, 2000]]}, [-4516, 1806, -1677, 839]), ('partial-repair probe', {'start': 358, 'end': 388, 'initial': 5000, 'changes': [[355, 4064], [386, 5000], [373, 2000]]}, [-2500, 1000, -133, 333]), ('partial-repair probe', {'start': 927, 'end': 957, 'initial': 2000, 'changes': [[940, 5000], [941, 2000], [939, 2000], [924, 2000]]}, [-1133, 2833, -2667, 1067]), ('normal control', {'start': 968, 'end': 1333, 'initial': 1000, 'changes': [[1333, 1000], [965, 5000], [1171, 2000]]}, [-444, 888]), ('normal control', {'start': 597, 'end': 627, 'initial': 2000, 'changes': [[594, 4502], [594, 7000]]}, []), ('normal control', {'start': 903, 'end': 1268, 'initial': 1000, 'changes': [[900, 3996]]}, []), ('normal control', {'start': 382, 'end': 747, 'initial': 2000, 'changes': [[508, 5000]]}, [-1310, 3274])], [('regression', {'start': 358, 'end': 388, 'initial': 5000, 'changes': [[355, 4064], [386, 5000], [373, 2000]]}, [-2500, 1000, -133, 333]), ('regression', {'start': 670, 'end': 700, 'initial': 2000, 'changes': [[678, 520], [700, 1000], [691, 5000]]}, [-1467, 381, -156, 1500]), ('partial-repair probe', {'start': 709, 'end': 739, 'initial': 5000, 'changes': [[733, 1000], [737, 8818], [721, 2000], [706, 2000]]}, [-3000, 1200, -400, 200, -67, 588]), ('partial-repair probe', {'start': 64, 'end': 95, 'initial': 5000, 'changes': [[64, 940], [71, 5000], [70, 250], [61, 1000], [61, 7000]]}, [-5000, 940, -758, 202, -194, 3871]), ('normal control', {'start': 398, 'end': 429, 'initial': 5000, 'changes': [[429, 4572], [429, 1000]]}, []), ('normal control', {'start': 677, 'end': 1042, 'initial': 5000, 'changes': [[1042, 5000], [1042, 5000]]}, []), ('normal control', {'start': 849, 'end': 879, 'initial': 5000, 'changes': [[879, 7238], [846, 4596], [846, 5000], [863, 2000]]}, [-2667, 1067]), ('normal control', {'start': 841, 'end': 872, 'initial': 5000, 'changes': [[872, 2000], [872, 2000]]}, [])], [('regression', {'start': 927, 'end': 957, 'initial': 2000, 'changes': [[940, 5000], [941, 2000], [939, 2000], [924, 2000]]}, [-1133, 2833, -2667, 1067]), ('regression', {'start': 796, 'end': 827, 'initial': 2000, 'changes': [[819, 2000], [827, 2383], [799, 1000], [827, 1000]]}, [-1806, 903, -258, 516]), ('partial-repair probe', {'start': 818, 'end': 848, 'initial': 2000, 'changes': [[822, 4662], [848, 5000], [815, 5000], [832, 2000], [832, 7000]]}, [-1733, 4040, -2486, 3733]), ('partial-repair probe', {'start': 314, 'end': 345, 'initial': 5000, 'changes': [[345, 5000], [311, 2000], [337, 1000], [340, 768], [340, 7000]]}, [-1290, 258, -161, 1129]), ('normal control', {'start': 690, 'end': 1055, 'initial': 5000, 'changes': [[702, 2000]]}, [-4836, 1934]), ('normal control', {'start': 239, 'end': 270, 'initial': 5000, 'changes': []}, []), ('normal control', {'start': 843, 'end': 1208, 'initial': 2000, 'changes': [[1208, 2000], [1208, 5000], [877, 5000]]}, [-1814, 4534]), ('normal control', {'start': 946, 'end': 1311, 'initial': 1000, 'changes': [[1254, 1000], [943, 5000]]}, [])], [('regression', {'start': 709, 'end': 739, 'initial': 5000, 'changes': [[733, 1000], [737, 8818], [721, 2000], [706, 2000]]}, [-3000, 1200, -400, 200, -67, 588]), ('regression', {'start': 918, 'end': 948, 'initial': 1000, 'changes': [[920, 4137], [928, 1000], [948, 1000], [948, 7000]]}, [-933, 3861, -2758, 667]), ('partial-repair probe', {'start': 707, 'end': 737, 'initial': 1000, 'changes': [[704, 1000], [716, 3529], [710, 2000], [735, 1000], [735, 2000]]}, [-900, 1800, -1400, 2470, -235, 133]), ('partial-repair probe', {'start': 960, 'end': 1325, 'initial': 1000, 'changes': [[1020, 1000], [1144, 2000], [1215, 1000], [957, 1000], [957, 7000]]}, [-496, 992, -603, 301]), ('normal control', {'start': 887, 'end': 918, 'initial': 5000, 'changes': []}, []), ('normal control', {'start': 983, 'end': 1348, 'initial': 2000, 'changes': [[1164, 5000], [1164, 7000]]}, [-1008, 3529]), ('normal control', {'start': 849, 'end': 1214, 'initial': 2000, 'changes': []}, []), ('normal control', {'start': 74, 'end': 439, 'initial': 5000, 'changes': [[185, 5000]]}, [])]]
for i, (label, args, expected) in enumerate(fixtures[N-1]):
check("%s %d" % (label, i), 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 0 | [-903, 2258, -65, 128] | [-903, 2258, -161, 128] | Failed |
| regression 1 | [-4516, 1806, -4194, 839] | [-4516, 1806, -1677, 839] | Failed |
| partial-repair probe 2 | [-822, 4110, -279, 562, -192, 238] | [-822, 4110, -1397, 562, -386, 238] | Failed |
| partial-repair probe 3 | [-2500, 1000] | [-2500, 1000, -133, 333] | Failed |
| normal control 4 | [] | [] | Passed |
| normal control 5 | [-355, 1774] | [-355, 1774] | Passed |
| normal control 6 | [] | [] | Passed |
| normal control 7 | [] | [] | Passed |
SHA-256 / 0d59cceb1dc20877baa53252098a13960ec17c433d40f41977dcec826057b65e
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
span = x['end'] - x['start']
ch = sorted(x['changes'], key=lambda c: c[0])
dedup = []
for t, p in ch:
if dedup and dedup[-1][0] == t:
dedup[-1] = [t, p]
else:
dedup.append([t, p])
cur = x['initial']
lines = []
for t, p in dedup:
if t < x['start'] or t >= x['end'] or p == cur:
continue
left = x['end'] - t
lines.append(-((cur * left * 2 + span) // (2 * span)))
lines.append((p * left * 2 + span) // (2 * span))
cur = dedup[0][1]
return lines
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression', {'start': 984, 'end': 1015, 'initial': 2000, 'changes': [[1001, 5000], [1014, 3956], [981, 1000]]}, [-903, 2258, -161, 128]), ('regression', {'start': 534, 'end': 565, 'initial': 5000, 'changes': [[565, 1007], [565, 1000], [539, 1000], [537, 2000]]}, [-4516, 1806, -1677, 839]), ('partial-repair probe', {'start': 198, 'end': 563, 'initial': 1000, 'changes': [[263, 5000], [461, 2011], [195, 5000], [493, 1242]]}, [-822, 4110, -1397, 562, -386, 238]), ('partial-repair probe', {'start': 358, 'end': 388, 'initial': 5000, 'changes': [[355, 4064], [386, 5000], [373, 2000]]}, [-2500, 1000, -133, 333]), ('normal control', {'start': 925, 'end': 955, 'initial': 1000, 'changes': [[940, 1000], [922, 5000]]}, []), ('normal control', {'start': 605, 'end': 636, 'initial': 1000, 'changes': [[610, 1000], [625, 5000], [602, 1000], [602, 2000]]}, [-355, 1774]), ('normal control', {'start': 446, 'end': 811, 'initial': 2000, 'changes': [[443, 5000]]}, []), ('normal control', {'start': 526, 'end': 557, 'initial': 5000, 'changes': []}, [])], [('regression', {'start': 198, 'end': 563, 'initial': 1000, 'changes': [[263, 5000], [461, 2011], [195, 5000], [493, 1242]]}, [-822, 4110, -1397, 562, -386, 238]), ('regression', {'start': 534, 'end': 565, 'initial': 5000, 'changes': [[565, 1007], [565, 1000], [539, 1000], [537, 2000]]}, [-4516, 1806, -1677, 839]), ('partial-repair probe', {'start': 358, 'end': 388, 'initial': 5000, 'changes': [[355, 4064], [386, 5000], [373, 2000]]}, [-2500, 1000, -133, 333]), ('partial-repair probe', {'start': 927, 'end': 957, 'initial': 2000, 'changes': [[940, 5000], [941, 2000], [939, 2000], [924, 2000]]}, [-1133, 2833, -2667, 1067]), ('normal control', {'start': 968, 'end': 1333, 'initial': 1000, 'changes': [[1333, 1000], [965, 5000], [1171, 2000]]}, [-444, 888]), ('normal control', {'start': 597, 'end': 627, 'initial': 2000, 'changes': [[594, 4502], [594, 7000]]}, []), ('normal control', {'start': 903, 'end': 1268, 'initial': 1000, 'changes': [[900, 3996]]}, []), ('normal control', {'start': 382, 'end': 747, 'initial': 2000, 'changes': [[508, 5000]]}, [-1310, 3274])], [('regression', {'start': 358, 'end': 388, 'initial': 5000, 'changes': [[355, 4064], [386, 5000], [373, 2000]]}, [-2500, 1000, -133, 333]), ('regression', {'start': 670, 'end': 700, 'initial': 2000, 'changes': [[678, 520], [700, 1000], [691, 5000]]}, [-1467, 381, -156, 1500]), ('partial-repair probe', {'start': 709, 'end': 739, 'initial': 5000, 'changes': [[733, 1000], [737, 8818], [721, 2000], [706, 2000]]}, [-3000, 1200, -400, 200, -67, 588]), ('partial-repair probe', {'start': 64, 'end': 95, 'initial': 5000, 'changes': [[64, 940], [71, 5000], [70, 250], [61, 1000], [61, 7000]]}, [-5000, 940, -758, 202, -194, 3871]), ('normal control', {'start': 398, 'end': 429, 'initial': 5000, 'changes': [[429, 4572], [429, 1000]]}, []), ('normal control', {'start': 677, 'end': 1042, 'initial': 5000, 'changes': [[1042, 5000], [1042, 5000]]}, []), ('normal control', {'start': 849, 'end': 879, 'initial': 5000, 'changes': [[879, 7238], [846, 4596], [846, 5000], [863, 2000]]}, [-2667, 1067]), ('normal control', {'start': 841, 'end': 872, 'initial': 5000, 'changes': [[872, 2000], [872, 2000]]}, [])], [('regression', {'start': 927, 'end': 957, 'initial': 2000, 'changes': [[940, 5000], [941, 2000], [939, 2000], [924, 2000]]}, [-1133, 2833, -2667, 1067]), ('regression', {'start': 796, 'end': 827, 'initial': 2000, 'changes': [[819, 2000], [827, 2383], [799, 1000], [827, 1000]]}, [-1806, 903, -258, 516]), ('partial-repair probe', {'start': 818, 'end': 848, 'initial': 2000, 'changes': [[822, 4662], [848, 5000], [815, 5000], [832, 2000], [832, 7000]]}, [-1733, 4040, -2486, 3733]), ('partial-repair probe', {'start': 314, 'end': 345, 'initial': 5000, 'changes': [[345, 5000], [311, 2000], [337, 1000], [340, 768], [340, 7000]]}, [-1290, 258, -161, 1129]), ('normal control', {'start': 690, 'end': 1055, 'initial': 5000, 'changes': [[702, 2000]]}, [-4836, 1934]), ('normal control', {'start': 239, 'end': 270, 'initial': 5000, 'changes': []}, []), ('normal control', {'start': 843, 'end': 1208, 'initial': 2000, 'changes': [[1208, 2000], [1208, 5000], [877, 5000]]}, [-1814, 4534]), ('normal control', {'start': 946, 'end': 1311, 'initial': 1000, 'changes': [[1254, 1000], [943, 5000]]}, [])], [('regression', {'start': 709, 'end': 739, 'initial': 5000, 'changes': [[733, 1000], [737, 8818], [721, 2000], [706, 2000]]}, [-3000, 1200, -400, 200, -67, 588]), ('regression', {'start': 918, 'end': 948, 'initial': 1000, 'changes': [[920, 4137], [928, 1000], [948, 1000], [948, 7000]]}, [-933, 3861, -2758, 667]), ('partial-repair probe', {'start': 707, 'end': 737, 'initial': 1000, 'changes': [[704, 1000], [716, 3529], [710, 2000], [735, 1000], [735, 2000]]}, [-900, 1800, -1400, 2470, -235, 133]), ('partial-repair probe', {'start': 960, 'end': 1325, 'initial': 1000, 'changes': [[1020, 1000], [1144, 2000], [1215, 1000], [957, 1000], [957, 7000]]}, [-496, 992, -603, 301]), ('normal control', {'start': 887, 'end': 918, 'initial': 5000, 'changes': []}, []), ('normal control', {'start': 983, 'end': 1348, 'initial': 2000, 'changes': [[1164, 5000], [1164, 7000]]}, [-1008, 3529]), ('normal control', {'start': 849, 'end': 1214, 'initial': 2000, 'changes': []}, []), ('normal control', {'start': 74, 'end': 439, 'initial': 5000, 'changes': [[185, 5000]]}, [])]]
for i, (label, args, expected) in enumerate(fixtures[N-1]):
check("%s %d" % (label, i), 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 0 | [-903, 2258, -32, 128] | [-903, 2258, -161, 128] | Failed |
| regression 1 | [-4516, 1806, -1677, 839] | [-4516, 1806, -1677, 839] | Passed |
| partial-repair probe 2 | [-822, 4110, -1397, 562, -959, 238] | [-822, 4110, -1397, 562, -386, 238] | Failed |
| partial-repair probe 3 | [-2500, 1000, -271, 333] | [-2500, 1000, -133, 333] | Failed |
| normal control 4 | [] | [] | Passed |
| normal control 5 | [-355, 1774] | [-355, 1774] | Passed |
| normal control 6 | [] | [] | Passed |
| normal control 7 | [] | [] | Passed |
SHA-256 / 4f0e63c74b64108de51a6db871240aed11805a6b8a92f86222af714ce17e656f
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
N = 1
observations = []
def solve(x):
span = x['end'] - x['start']
ch = sorted(x['changes'], key=lambda c: c[0])
dedup = []
for t, p in ch:
if dedup and dedup[-1][0] == t:
dedup[-1] = [t, p]
else:
dedup.append([t, p])
cur = x['initial']
lines = []
for t, p in dedup:
if t < x['start'] or t >= x['end'] or p == cur:
continue
left = x['end'] - t
lines.append(-((cur * left * 2 + span) // (2 * span)))
lines.append((p * left * 2 + span) // (2 * span))
cur = p
return lines
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[('regression', {'start': 984, 'end': 1015, 'initial': 2000, 'changes': [[1001, 5000], [1014, 3956], [981, 1000]]}, [-903, 2258, -161, 128]), ('regression', {'start': 534, 'end': 565, 'initial': 5000, 'changes': [[565, 1007], [565, 1000], [539, 1000], [537, 2000]]}, [-4516, 1806, -1677, 839]), ('partial-repair probe', {'start': 198, 'end': 563, 'initial': 1000, 'changes': [[263, 5000], [461, 2011], [195, 5000], [493, 1242]]}, [-822, 4110, -1397, 562, -386, 238]), ('partial-repair probe', {'start': 358, 'end': 388, 'initial': 5000, 'changes': [[355, 4064], [386, 5000], [373, 2000]]}, [-2500, 1000, -133, 333]), ('normal control', {'start': 925, 'end': 955, 'initial': 1000, 'changes': [[940, 1000], [922, 5000]]}, []), ('normal control', {'start': 605, 'end': 636, 'initial': 1000, 'changes': [[610, 1000], [625, 5000], [602, 1000], [602, 2000]]}, [-355, 1774]), ('normal control', {'start': 446, 'end': 811, 'initial': 2000, 'changes': [[443, 5000]]}, []), ('normal control', {'start': 526, 'end': 557, 'initial': 5000, 'changes': []}, [])], [('regression', {'start': 198, 'end': 563, 'initial': 1000, 'changes': [[263, 5000], [461, 2011], [195, 5000], [493, 1242]]}, [-822, 4110, -1397, 562, -386, 238]), ('regression', {'start': 534, 'end': 565, 'initial': 5000, 'changes': [[565, 1007], [565, 1000], [539, 1000], [537, 2000]]}, [-4516, 1806, -1677, 839]), ('partial-repair probe', {'start': 358, 'end': 388, 'initial': 5000, 'changes': [[355, 4064], [386, 5000], [373, 2000]]}, [-2500, 1000, -133, 333]), ('partial-repair probe', {'start': 927, 'end': 957, 'initial': 2000, 'changes': [[940, 5000], [941, 2000], [939, 2000], [924, 2000]]}, [-1133, 2833, -2667, 1067]), ('normal control', {'start': 968, 'end': 1333, 'initial': 1000, 'changes': [[1333, 1000], [965, 5000], [1171, 2000]]}, [-444, 888]), ('normal control', {'start': 597, 'end': 627, 'initial': 2000, 'changes': [[594, 4502], [594, 7000]]}, []), ('normal control', {'start': 903, 'end': 1268, 'initial': 1000, 'changes': [[900, 3996]]}, []), ('normal control', {'start': 382, 'end': 747, 'initial': 2000, 'changes': [[508, 5000]]}, [-1310, 3274])], [('regression', {'start': 358, 'end': 388, 'initial': 5000, 'changes': [[355, 4064], [386, 5000], [373, 2000]]}, [-2500, 1000, -133, 333]), ('regression', {'start': 670, 'end': 700, 'initial': 2000, 'changes': [[678, 520], [700, 1000], [691, 5000]]}, [-1467, 381, -156, 1500]), ('partial-repair probe', {'start': 709, 'end': 739, 'initial': 5000, 'changes': [[733, 1000], [737, 8818], [721, 2000], [706, 2000]]}, [-3000, 1200, -400, 200, -67, 588]), ('partial-repair probe', {'start': 64, 'end': 95, 'initial': 5000, 'changes': [[64, 940], [71, 5000], [70, 250], [61, 1000], [61, 7000]]}, [-5000, 940, -758, 202, -194, 3871]), ('normal control', {'start': 398, 'end': 429, 'initial': 5000, 'changes': [[429, 4572], [429, 1000]]}, []), ('normal control', {'start': 677, 'end': 1042, 'initial': 5000, 'changes': [[1042, 5000], [1042, 5000]]}, []), ('normal control', {'start': 849, 'end': 879, 'initial': 5000, 'changes': [[879, 7238], [846, 4596], [846, 5000], [863, 2000]]}, [-2667, 1067]), ('normal control', {'start': 841, 'end': 872, 'initial': 5000, 'changes': [[872, 2000], [872, 2000]]}, [])], [('regression', {'start': 927, 'end': 957, 'initial': 2000, 'changes': [[940, 5000], [941, 2000], [939, 2000], [924, 2000]]}, [-1133, 2833, -2667, 1067]), ('regression', {'start': 796, 'end': 827, 'initial': 2000, 'changes': [[819, 2000], [827, 2383], [799, 1000], [827, 1000]]}, [-1806, 903, -258, 516]), ('partial-repair probe', {'start': 818, 'end': 848, 'initial': 2000, 'changes': [[822, 4662], [848, 5000], [815, 5000], [832, 2000], [832, 7000]]}, [-1733, 4040, -2486, 3733]), ('partial-repair probe', {'start': 314, 'end': 345, 'initial': 5000, 'changes': [[345, 5000], [311, 2000], [337, 1000], [340, 768], [340, 7000]]}, [-1290, 258, -161, 1129]), ('normal control', {'start': 690, 'end': 1055, 'initial': 5000, 'changes': [[702, 2000]]}, [-4836, 1934]), ('normal control', {'start': 239, 'end': 270, 'initial': 5000, 'changes': []}, []), ('normal control', {'start': 843, 'end': 1208, 'initial': 2000, 'changes': [[1208, 2000], [1208, 5000], [877, 5000]]}, [-1814, 4534]), ('normal control', {'start': 946, 'end': 1311, 'initial': 1000, 'changes': [[1254, 1000], [943, 5000]]}, [])], [('regression', {'start': 709, 'end': 739, 'initial': 5000, 'changes': [[733, 1000], [737, 8818], [721, 2000], [706, 2000]]}, [-3000, 1200, -400, 200, -67, 588]), ('regression', {'start': 918, 'end': 948, 'initial': 1000, 'changes': [[920, 4137], [928, 1000], [948, 1000], [948, 7000]]}, [-933, 3861, -2758, 667]), ('partial-repair probe', {'start': 707, 'end': 737, 'initial': 1000, 'changes': [[704, 1000], [716, 3529], [710, 2000], [735, 1000], [735, 2000]]}, [-900, 1800, -1400, 2470, -235, 133]), ('partial-repair probe', {'start': 960, 'end': 1325, 'initial': 1000, 'changes': [[1020, 1000], [1144, 2000], [1215, 1000], [957, 1000], [957, 7000]]}, [-496, 992, -603, 301]), ('normal control', {'start': 887, 'end': 918, 'initial': 5000, 'changes': []}, []), ('normal control', {'start': 983, 'end': 1348, 'initial': 2000, 'changes': [[1164, 5000], [1164, 7000]]}, [-1008, 3529]), ('normal control', {'start': 849, 'end': 1214, 'initial': 2000, 'changes': []}, []), ('normal control', {'start': 74, 'end': 439, 'initial': 5000, 'changes': [[185, 5000]]}, [])]]
for i, (label, args, expected) in enumerate(fixtures[N-1]):
check("%s %d" % (label, i), 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 0 | [-903, 2258, -161, 128] | [-903, 2258, -161, 128] | Passed |
| regression 1 | [-4516, 1806, -1677, 839] | [-4516, 1806, -1677, 839] | Passed |
| partial-repair probe 2 | [-822, 4110, -1397, 562, -386, 238] | [-822, 4110, -1397, 562, -386, 238] | Passed |
| partial-repair probe 3 | [-2500, 1000, -133, 333] | [-2500, 1000, -133, 333] | Passed |
| normal control 4 | [] | [] | Passed |
| normal control 5 | [-355, 1774] | [-355, 1774] | Passed |
| normal control 6 | [] | [] | Passed |
| normal control 7 | [] | [] | Passed |
SHA-256 / af10fdd45a19b83add4ddc1298b0458347fa87b2614876078f8fb78027db712c
Verification & scope
A deterministic teaching model of a stipulated billing rule. It makes no claim to reproduce any billing provider's exact behaviour and is not billing software. 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 2026-09-29T14:46:37.876530+00:00.
Case digest / 71033219c70467fef8232aa13511f202d7edc57c6a25c51ed87a6c50a38c8e14