FA-58356 / Loan amortization schedules / Open access
Level payment with final adjustment: round-up mode · case 01
Loans configured to round the payment up get a payment rounded down.
ROOT CAUSE
The up mode floors the exact payment.
THE FAILURE
The up mode floors the exact payment.
Unsuccessful approach: Rounding to nearest still rounds down whenever the fraction is below half a cent.
Case contract
x = {'principal', 'rate_bp' (annual, monthly rate = bp/120000), 'months', 'round': 'nearest'|'up'}. The exact annuity payment P*r/(1-(1+r)^-n) (P/n at zero rate) is rounded half-up ('nearest') or up to the cent. Monthly interest is round_half_up(balance*bp/120000); months 1..n-1 pay the level payment and month n pays balance + interest. Return {'payment', 'final_payment', 'total_interest'}.
Why this case matters
Amortization engines drive borrower statements, payoff quotes and investor remittances; a misplaced rounding step, boundary or ordering rule compounds across hundreds of periods.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
from fractions import Fraction
N = 1
observations = []
def solve(x):
P = x['principal']
n = x['months']
bp = x['rate_bp']
if bp == 0:
exact = Fraction(P, n)
else:
r = Fraction(bp, 120000)
exact = P * r / (1 - (1 + r) ** -n)
if x['round'] == 'up':
pay = math.floor(exact)
else:
pay = math.floor(exact + Fraction(1, 2))
bal = P
total_int = 0
last = 0
for k in range(1, n + 1):
q, rem = divmod(bal * bp, 120000)
interest = q + (1 if 2 * rem >= 120000 else 0)
total_int += interest
if k == n:
last = bal + interest
else:
bal = bal + interest - pay
return {'payment': pay, 'final_payment': last, 'total_interest': total_int}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['regression: round-up mode', {'principal': 7, 'rate_bp': 725, 'months': 360, 'round': 'up'}, {'payment': 1, 'final_payment': -1123, 'total_interest': -771}], ['control 1', {'principal': 12345, 'rate_bp': 1200, 'months': 1, 'round': 'nearest'}, {'payment': 12468, 'final_payment': 12468, 'total_interest': 123}], ['control 2', {'principal': 999999, 'rate_bp': 0, 'months': 60, 'round': 'nearest'}, {'payment': 16667, 'final_payment': 16646, 'total_interest': 0}], ['control 3', {'principal': 1000000, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333334, 'total_interest': 0}], ['control 4', {'principal': 1000000, 'rate_bp': 1200, 'months': 360, 'round': 'nearest'}, {'payment': 10286, 'final_payment': 10743, 'total_interest': 2703417}], ['control 5', {'principal': 100000, 'rate_bp': 725, 'months': 360, 'round': 'nearest'}, {'payment': 682, 'final_payment': 923, 'total_interest': 145761}], ['control 6', {'principal': 100000, 'rate_bp': 725, 'months': 36, 'round': 'nearest'}, {'payment': 3099, 'final_payment': 3106, 'total_interest': 11571}]], [['regression: round-up mode', {'principal': 500, 'rate_bp': 13, 'months': 3, 'round': 'up'}, {'payment': 167, 'final_payment': 166, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 100000, 'rate_bp': 499, 'months': 2, 'round': 'up'}, {'payment': 50313, 'final_payment': 50311, 'total_interest': 624}], ['control 1', {'principal': 2500000, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 861250, 'final_payment': 861251, 'total_interest': 83751}], ['control 2', {'principal': 999999, 'rate_bp': 725, 'months': 360, 'round': 'nearest'}, {'payment': 6822, 'final_payment': 6503, 'total_interest': 1455602}], ['control 3', {'principal': 7, 'rate_bp': 0, 'months': 60, 'round': 'nearest'}, {'payment': 0, 'final_payment': 7, 'total_interest': 0}], ['control 4', {'principal': 999999, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333333, 'total_interest': 0}], ['control 5', {'principal': 999999, 'rate_bp': 0, 'months': 36, 'round': 'nearest'}, {'payment': 27778, 'final_payment': 27769, 'total_interest': 0}]], [['regression: round-up mode', {'principal': 12345, 'rate_bp': 0, 'months': 12, 'round': 'up'}, {'payment': 1029, 'final_payment': 1026, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 2500000, 'rate_bp': 13, 'months': 360, 'round': 'up'}, {'payment': 7082, 'final_payment': 6755, 'total_interest': 49193}], ['control 1', {'principal': 2500000, 'rate_bp': 13, 'months': 1, 'round': 'nearest'}, {'payment': 2500271, 'final_payment': 2500271, 'total_interest': 271}], ['control 2', {'principal': 100000, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 34450, 'final_payment': 34450, 'total_interest': 3350}], ['control 3', {'principal': 999999, 'rate_bp': 0, 'months': 12, 'round': 'nearest'}, {'payment': 83333, 'final_payment': 83336, 'total_interest': 0}], ['control 4', {'principal': 500, 'rate_bp': 1200, 'months': 3, 'round': 'nearest'}, {'payment': 170, 'final_payment': 170, 'total_interest': 10}], ['control 5', {'principal': 1000000, 'rate_bp': 1200, 'months': 7, 'round': 'nearest'}, {'payment': 148628, 'final_payment': 148631, 'total_interest': 40399}]], [['regression: round-up mode', {'principal': 7, 'rate_bp': 13, 'months': 12, 'round': 'up'}, {'payment': 1, 'final_payment': -4, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 500, 'rate_bp': 725, 'months': 7, 'round': 'up'}, {'payment': 74, 'final_payment': 68, 'total_interest': 12}], ['control 1', {'principal': 500, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 172, 'final_payment': 173, 'total_interest': 17}], ['control 2', {'principal': 7, 'rate_bp': 1999, 'months': 7, 'round': 'nearest'}, {'payment': 1, 'final_payment': 1, 'total_interest': 0}], ['control 3', {'principal': 30000000, 'rate_bp': 0, 'months': 360, 'round': 'nearest'}, {'payment': 83333, 'final_payment': 83453, 'total_interest': 0}], ['control 4', {'principal': 999999, 'rate_bp': 13, 'months': 2, 'round': 'nearest'}, {'payment': 500081, 'final_payment': 500080, 'total_interest': 162}], ['control 5', {'principal': 999999, 'rate_bp': 1200, 'months': 7, 'round': 'nearest'}, {'payment': 148628, 'final_payment': 148630, 'total_interest': 40399}]], [['regression: round-up mode', {'principal': 7, 'rate_bp': 600, 'months': 360, 'round': 'up'}, {'payment': 1, 'final_payment': -876, 'total_interest': -524}], ['control 1', {'principal': 30000000, 'rate_bp': 499, 'months': 2, 'round': 'nearest'}, {'payment': 15093627, 'final_payment': 15093627, 'total_interest': 187254}], ['control 2', {'principal': 999999, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333333, 'total_interest': 0}], ['control 3', {'principal': 500, 'rate_bp': 0, 'months': 2, 'round': 'up'}, {'payment': 250, 'final_payment': 250, 'total_interest': 0}], ['control 4', {'principal': 2500000, 'rate_bp': 499, 'months': 1, 'round': 'nearest'}, {'payment': 2510396, 'final_payment': 2510396, 'total_interest': 10396}], ['control 5', {'principal': 2500000, 'rate_bp': 13, 'months': 360, 'round': 'nearest'}, {'payment': 7081, 'final_payment': 7125, 'total_interest': 49204}], ['control 6', {'principal': 999999, 'rate_bp': 725, 'months': 12, 'round': 'nearest'}, {'payment': 86642, 'final_payment': 86643, 'total_interest': 39706}]]]
for label, args, expected in fixtures[N-1]:
try:
actual = solve(args)
except Exception as exc:
actual = 'raised ' + type(exc).__name__
check(label, actual, 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: round-up mode | {'final_payment': 7, 'payment': 0, 'total_interest': 0} | {'final_payment': -1123, 'payment': 1, 'total_interest': -771} | Failed |
| control 1 | {'final_payment': 12468, 'payment': 12468, 'total_interest': 123} | {'final_payment': 12468, 'payment': 12468, 'total_interest': 123} | Passed |
| control 2 | {'final_payment': 16646, 'payment': 16667, 'total_interest': 0} | {'final_payment': 16646, 'payment': 16667, 'total_interest': 0} | Passed |
| control 3 | {'final_payment': 333334, 'payment': 333333, 'total_interest': 0} | {'final_payment': 333334, 'payment': 333333, 'total_interest': 0} | Passed |
| control 4 | {'final_payment': 10743, 'payment': 10286, 'total_interest': 2703417} | {'final_payment': 10743, 'payment': 10286, 'total_interest': 2703417} | Passed |
| control 5 | {'final_payment': 923, 'payment': 682, 'total_interest': 145761} | {'final_payment': 923, 'payment': 682, 'total_interest': 145761} | Passed |
| control 6 | {'final_payment': 3106, 'payment': 3099, 'total_interest': 11571} | {'final_payment': 3106, 'payment': 3099, 'total_interest': 11571} | Passed |
SHA-256 / 4147b39fba38b31707b138b9a8dc9956db3ec1b9984aae879098b8af4d40d59b
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
from fractions import Fraction
N = 1
observations = []
def solve(x):
P = x['principal']
n = x['months']
bp = x['rate_bp']
if bp == 0:
exact = Fraction(P, n)
else:
r = Fraction(bp, 120000)
exact = P * r / (1 - (1 + r) ** -n)
if x['round'] == 'up':
pay = round(exact)
else:
pay = math.floor(exact + Fraction(1, 2))
bal = P
total_int = 0
last = 0
for k in range(1, n + 1):
q, rem = divmod(bal * bp, 120000)
interest = q + (1 if 2 * rem >= 120000 else 0)
total_int += interest
if k == n:
last = bal + interest
else:
bal = bal + interest - pay
return {'payment': pay, 'final_payment': last, 'total_interest': total_int}
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['regression: round-up mode', {'principal': 7, 'rate_bp': 725, 'months': 360, 'round': 'up'}, {'payment': 1, 'final_payment': -1123, 'total_interest': -771}], ['control 1', {'principal': 12345, 'rate_bp': 1200, 'months': 1, 'round': 'nearest'}, {'payment': 12468, 'final_payment': 12468, 'total_interest': 123}], ['control 2', {'principal': 999999, 'rate_bp': 0, 'months': 60, 'round': 'nearest'}, {'payment': 16667, 'final_payment': 16646, 'total_interest': 0}], ['control 3', {'principal': 1000000, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333334, 'total_interest': 0}], ['control 4', {'principal': 1000000, 'rate_bp': 1200, 'months': 360, 'round': 'nearest'}, {'payment': 10286, 'final_payment': 10743, 'total_interest': 2703417}], ['control 5', {'principal': 100000, 'rate_bp': 725, 'months': 360, 'round': 'nearest'}, {'payment': 682, 'final_payment': 923, 'total_interest': 145761}], ['control 6', {'principal': 100000, 'rate_bp': 725, 'months': 36, 'round': 'nearest'}, {'payment': 3099, 'final_payment': 3106, 'total_interest': 11571}]], [['regression: round-up mode', {'principal': 500, 'rate_bp': 13, 'months': 3, 'round': 'up'}, {'payment': 167, 'final_payment': 166, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 100000, 'rate_bp': 499, 'months': 2, 'round': 'up'}, {'payment': 50313, 'final_payment': 50311, 'total_interest': 624}], ['control 1', {'principal': 2500000, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 861250, 'final_payment': 861251, 'total_interest': 83751}], ['control 2', {'principal': 999999, 'rate_bp': 725, 'months': 360, 'round': 'nearest'}, {'payment': 6822, 'final_payment': 6503, 'total_interest': 1455602}], ['control 3', {'principal': 7, 'rate_bp': 0, 'months': 60, 'round': 'nearest'}, {'payment': 0, 'final_payment': 7, 'total_interest': 0}], ['control 4', {'principal': 999999, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333333, 'total_interest': 0}], ['control 5', {'principal': 999999, 'rate_bp': 0, 'months': 36, 'round': 'nearest'}, {'payment': 27778, 'final_payment': 27769, 'total_interest': 0}]], [['regression: round-up mode', {'principal': 12345, 'rate_bp': 0, 'months': 12, 'round': 'up'}, {'payment': 1029, 'final_payment': 1026, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 2500000, 'rate_bp': 13, 'months': 360, 'round': 'up'}, {'payment': 7082, 'final_payment': 6755, 'total_interest': 49193}], ['control 1', {'principal': 2500000, 'rate_bp': 13, 'months': 1, 'round': 'nearest'}, {'payment': 2500271, 'final_payment': 2500271, 'total_interest': 271}], ['control 2', {'principal': 100000, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 34450, 'final_payment': 34450, 'total_interest': 3350}], ['control 3', {'principal': 999999, 'rate_bp': 0, 'months': 12, 'round': 'nearest'}, {'payment': 83333, 'final_payment': 83336, 'total_interest': 0}], ['control 4', {'principal': 500, 'rate_bp': 1200, 'months': 3, 'round': 'nearest'}, {'payment': 170, 'final_payment': 170, 'total_interest': 10}], ['control 5', {'principal': 1000000, 'rate_bp': 1200, 'months': 7, 'round': 'nearest'}, {'payment': 148628, 'final_payment': 148631, 'total_interest': 40399}]], [['regression: round-up mode', {'principal': 7, 'rate_bp': 13, 'months': 12, 'round': 'up'}, {'payment': 1, 'final_payment': -4, 'total_interest': 0}], ['regression: round-up mode, partial-repair probe', {'principal': 500, 'rate_bp': 725, 'months': 7, 'round': 'up'}, {'payment': 74, 'final_payment': 68, 'total_interest': 12}], ['control 1', {'principal': 500, 'rate_bp': 1999, 'months': 3, 'round': 'nearest'}, {'payment': 172, 'final_payment': 173, 'total_interest': 17}], ['control 2', {'principal': 7, 'rate_bp': 1999, 'months': 7, 'round': 'nearest'}, {'payment': 1, 'final_payment': 1, 'total_interest': 0}], ['control 3', {'principal': 30000000, 'rate_bp': 0, 'months': 360, 'round': 'nearest'}, {'payment': 83333, 'final_payment': 83453, 'total_interest': 0}], ['control 4', {'principal': 999999, 'rate_bp': 13, 'months': 2, 'round': 'nearest'}, {'payment': 500081, 'final_payment': 500080, 'total_interest': 162}], ['control 5', {'principal': 999999, 'rate_bp': 1200, 'months': 7, 'round': 'nearest'}, {'payment': 148628, 'final_payment': 148630, 'total_interest': 40399}]], [['regression: round-up mode', {'principal': 7, 'rate_bp': 600, 'months': 360, 'round': 'up'}, {'payment': 1, 'final_payment': -876, 'total_interest': -524}], ['control 1', {'principal': 30000000, 'rate_bp': 499, 'months': 2, 'round': 'nearest'}, {'payment': 15093627, 'final_payment': 15093627, 'total_interest': 187254}], ['control 2', {'principal': 999999, 'rate_bp': 0, 'months': 3, 'round': 'nearest'}, {'payment': 333333, 'final_payment': 333333, 'total_interest': 0}], ['control 3', {'principal': 500, 'rate_bp': 0, 'months': 2, 'round': 'up'}, {'payment': 250, 'final_payment': 250, 'total_interest': 0}], ['control 4', {'principal': 2500000, 'rate_bp': 499, 'months': 1, 'round': 'nearest'}, {'payment': 2510396, 'final_payment': 2510396, 'total_interest': 10396}], ['control 5', {'principal': 2500000, 'rate_bp': 13, 'months': 360, 'round': 'nearest'}, {'payment': 7081, 'final_payment': 7125, 'total_interest': 49204}], ['control 6', {'principal': 999999, 'rate_bp': 725, 'months': 12, 'round': 'nearest'}, {'payment': 86642, 'final_payment': 86643, 'total_interest': 39706}]]]
for label, args, expected in fixtures[N-1]:
try:
actual = solve(args)
except Exception as exc:
actual = 'raised ' + type(exc).__name__
check(label, actual, 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: round-up mode | {'final_payment': 7, 'payment': 0, 'total_interest': 0} | {'final_payment': -1123, 'payment': 1, 'total_interest': -771} | Failed |
| control 1 | {'final_payment': 12468, 'payment': 12468, 'total_interest': 123} | {'final_payment': 12468, 'payment': 12468, 'total_interest': 123} | Passed |
| control 2 | {'final_payment': 16646, 'payment': 16667, 'total_interest': 0} | {'final_payment': 16646, 'payment': 16667, 'total_interest': 0} | Passed |
| control 3 | {'final_payment': 333334, 'payment': 333333, 'total_interest': 0} | {'final_payment': 333334, 'payment': 333333, 'total_interest': 0} | Passed |
| control 4 | {'final_payment': 10743, 'payment': 10286, 'total_interest': 2703417} | {'final_payment': 10743, 'payment': 10286, 'total_interest': 2703417} | Passed |
| control 5 | {'final_payment': 923, 'payment': 682, 'total_interest': 145761} | {'final_payment': 923, 'payment': 682, 'total_interest': 145761} | Passed |
| control 6 | {'final_payment': 3106, 'payment': 3099, 'total_interest': 11571} | {'final_payment': 3106, 'payment': 3099, 'total_interest': 11571} | Passed |
SHA-256 / a1455b4ba66796bb36cc4a89ef4dc69a919db6f6bc611f91f4e6b3cfcca75a5e
HELD IN THE MEMBER ARCHIVE
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This mechanism has 7 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.
Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.
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Sign in to the archive ↗Verification & scope
A deterministic bounded teaching model with stipulated toy lending rules stated in the contract; money is integer cents and rates are basis points; it makes no claim of conformance to any regulation, servicing standard or product. 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 2026-09-29T14:46:25.966305+00:00.
Case digest / e56c7db563afb5683c3c30708a187ee00a44ed9d3823b60220ea03fbd680f4ae