FA-62221 / Currency rounding and FX conversion / Open access
A move exactly at the tolerance is computed in floating point · case 01
A 10% move against a 1000 bps band is rejected by a few ulps.
ROOT CAUSE
The deviation is computed with float division, so an exact boundary lands just above the limit.
VERIFIED REPAIR
Compute the deviation with exact decimals and compare inclusively.
Unsuccessful approach: Using float arithmetic with a strict comparison rejects every exact boundary.
Case contract
solve(new, ref, tol_bps, inverted): accept a newly published rate if |n - ref| / ref * 10000 <= tol_bps using exact decimals, where n = new, or 1/new when the new quote arrives inverted. A non-positive new or ref returns 'ERR:rate'. Return 'accept' or 'reject'.
Why this case matters
Currency amounts must be rounded at the right stage and in the right unit, or ledgers, quotes and settlements drift by minor units.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
from decimal import Decimal, ROUND_HALF_EVEN, ROUND_HALF_UP, ROUND_FLOOR, ROUND_CEILING, ROUND_DOWN, ROUND_UP, ROUND_HALF_DOWN
N = 1
observations = []
def solve(new, ref, tol_bps, inverted):
n, r = Decimal(new), Decimal(ref)
if r <= 0 or n <= 0: return 'ERR:rate'
if inverted: n = 1 / n
dev = abs(float(n) - float(r)) / float(r)
return 'accept' if dev * 10000 <= tol_bps else 'reject'
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = [[('regression band-boundary 1', ('1.1', '1.0', 1000, False), 'accept'),
('regression band-boundary 2', ('1.9529160', '1.9432', 50, False), 'accept'),
('partial repair guard 2', ('1.0835', '1.0835', 0, False), 'accept'),
('control: lower boundary', ('0.9', '1.0', 1000, False), 'accept'),
('control: drop too far', ('0.8', '1.0', 1000, False), 'reject'),
('control: inverted exact', ('0.5', '2.0', 0, True), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate')],
[('regression band-boundary 1', ('2.015556', '1.9956', 100, False), 'accept'),
('regression band-boundary 2', ('1.19829675', '1.2013', 25, False), 'accept'),
('partial repair guard 1', ('0.9', '1.0', 1000, False), 'accept'),
('partial repair guard 2', ('0.5', '2.0', 0, True), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate'),
('control: small move', ('1.08351', '1.0835', 1, False), 'accept'),
('control: rise too far', ('1.2', '1.0', 1000, False), 'reject'),
('control: inverted far', ('0.9', '1.0', 50, True), 'reject')],
[('regression band-boundary 1', ('0.61172550', '0.6102', 25, False), 'accept'),
('regression band-boundary 2', ('0.94611', '0.8601', 1000, False), 'accept'),
('partial repair guard 1', ('1.9529160', '1.9432', 50, False), 'accept'),
('partial repair guard 2', ('2.015556', '1.9956', 100, False), 'accept'),
('control: rise too far', ('1.2', '1.0', 1000, False), 'reject'),
('control: inverted far', ('0.9', '1.0', 50, True), 'reject'),
('control: upper boundary', ('1.1', '1.0', 1000, False), 'accept'),
('control: lower boundary', ('0.9', '1.0', 1000, False), 'accept')],
[('regression band-boundary 1', ('1.8098883', '1.8117', 10, False), 'accept'),
('regression band-boundary 2', ('1.29844', '1.1804', 1000, False), 'accept'),
('partial repair guard 1', ('1.610829', '1.6271', 100, False), 'accept'),
('partial repair guard 2', ('1.19829675', '1.2013', 25, False), 'accept'),
('control: lower boundary', ('0.9', '1.0', 1000, False), 'accept'),
('control: drop too far', ('0.8', '1.0', 1000, False), 'reject'),
('control: inverted exact', ('0.5', '2.0', 0, True), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate')],
[('regression band-boundary 1', ('1.886276', '1.8676', 100, False), 'accept'),
('regression band-boundary 2', ('1.68751', '1.5341', 1000, False), 'accept'),
('partial repair guard 1', ('0.61172550', '0.6102', 25, False), 'accept'),
('partial repair guard 2', ('0.94611', '0.8601', 1000, False), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate'),
('control: small move', ('1.08351', '1.0835', 1, False), 'accept'),
('control: rise too far', ('1.2', '1.0', 1000, False), 'reject'),
('control: inverted far', ('0.9', '1.0', 50, True), 'reject')]]
for label, args, expected in cases[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 band-boundary 1 | reject | accept | Failed |
| regression band-boundary 2 | reject | accept | Failed |
| partial repair guard 2 | accept | accept | Passed |
| control: lower boundary | accept | accept | Passed |
| control: drop too far | reject | reject | Passed |
| control: inverted exact | accept | accept | Passed |
| control: bad ref | ERR:rate | ERR:rate | Passed |
SHA-256 / 0e7d97ff480543a26194beac65aaaaf4d392f7d6f85d83cf3ae5a66f6583863d
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
from decimal import Decimal, ROUND_HALF_EVEN, ROUND_HALF_UP, ROUND_FLOOR, ROUND_CEILING, ROUND_DOWN, ROUND_UP, ROUND_HALF_DOWN
N = 1
observations = []
def solve(new, ref, tol_bps, inverted):
n, r = Decimal(new), Decimal(ref)
if r <= 0 or n <= 0: return 'ERR:rate'
if inverted: n = 1 / n
dev = abs(n - r) / r
return 'accept' if dev * 10000 < tol_bps else 'reject'
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = [[('regression band-boundary 1', ('1.1', '1.0', 1000, False), 'accept'),
('regression band-boundary 2', ('1.9529160', '1.9432', 50, False), 'accept'),
('partial repair guard 2', ('1.0835', '1.0835', 0, False), 'accept'),
('control: lower boundary', ('0.9', '1.0', 1000, False), 'accept'),
('control: drop too far', ('0.8', '1.0', 1000, False), 'reject'),
('control: inverted exact', ('0.5', '2.0', 0, True), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate')],
[('regression band-boundary 1', ('2.015556', '1.9956', 100, False), 'accept'),
('regression band-boundary 2', ('1.19829675', '1.2013', 25, False), 'accept'),
('partial repair guard 1', ('0.9', '1.0', 1000, False), 'accept'),
('partial repair guard 2', ('0.5', '2.0', 0, True), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate'),
('control: small move', ('1.08351', '1.0835', 1, False), 'accept'),
('control: rise too far', ('1.2', '1.0', 1000, False), 'reject'),
('control: inverted far', ('0.9', '1.0', 50, True), 'reject')],
[('regression band-boundary 1', ('0.61172550', '0.6102', 25, False), 'accept'),
('regression band-boundary 2', ('0.94611', '0.8601', 1000, False), 'accept'),
('partial repair guard 1', ('1.9529160', '1.9432', 50, False), 'accept'),
('partial repair guard 2', ('2.015556', '1.9956', 100, False), 'accept'),
('control: rise too far', ('1.2', '1.0', 1000, False), 'reject'),
('control: inverted far', ('0.9', '1.0', 50, True), 'reject'),
('control: upper boundary', ('1.1', '1.0', 1000, False), 'accept'),
('control: lower boundary', ('0.9', '1.0', 1000, False), 'accept')],
[('regression band-boundary 1', ('1.8098883', '1.8117', 10, False), 'accept'),
('regression band-boundary 2', ('1.29844', '1.1804', 1000, False), 'accept'),
('partial repair guard 1', ('1.610829', '1.6271', 100, False), 'accept'),
('partial repair guard 2', ('1.19829675', '1.2013', 25, False), 'accept'),
('control: lower boundary', ('0.9', '1.0', 1000, False), 'accept'),
('control: drop too far', ('0.8', '1.0', 1000, False), 'reject'),
('control: inverted exact', ('0.5', '2.0', 0, True), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate')],
[('regression band-boundary 1', ('1.886276', '1.8676', 100, False), 'accept'),
('regression band-boundary 2', ('1.68751', '1.5341', 1000, False), 'accept'),
('partial repair guard 1', ('0.61172550', '0.6102', 25, False), 'accept'),
('partial repair guard 2', ('0.94611', '0.8601', 1000, False), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate'),
('control: small move', ('1.08351', '1.0835', 1, False), 'accept'),
('control: rise too far', ('1.2', '1.0', 1000, False), 'reject'),
('control: inverted far', ('0.9', '1.0', 50, True), 'reject')]]
for label, args, expected in cases[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 band-boundary 1 | reject | accept | Failed |
| regression band-boundary 2 | reject | accept | Failed |
| partial repair guard 2 | reject | accept | Failed |
| control: lower boundary | reject | accept | Failed |
| control: drop too far | reject | reject | Passed |
| control: inverted exact | reject | accept | Failed |
| control: bad ref | ERR:rate | ERR:rate | Passed |
SHA-256 / c42160cbac758f39f175c5b84d8fc7080a27351809ac038a6ba7e3e24dc6de6d
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
from decimal import Decimal, ROUND_HALF_EVEN, ROUND_HALF_UP, ROUND_FLOOR, ROUND_CEILING, ROUND_DOWN, ROUND_UP, ROUND_HALF_DOWN
N = 1
observations = []
def solve(new, ref, tol_bps, inverted):
n, r = Decimal(new), Decimal(ref)
if r <= 0 or n <= 0: return 'ERR:rate'
if inverted: n = 1 / n
dev = abs(n - r) / r
return 'accept' if dev * 10000 <= tol_bps else 'reject'
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
cases = [[('regression band-boundary 1', ('1.1', '1.0', 1000, False), 'accept'),
('regression band-boundary 2', ('1.9529160', '1.9432', 50, False), 'accept'),
('partial repair guard 2', ('1.0835', '1.0835', 0, False), 'accept'),
('control: lower boundary', ('0.9', '1.0', 1000, False), 'accept'),
('control: drop too far', ('0.8', '1.0', 1000, False), 'reject'),
('control: inverted exact', ('0.5', '2.0', 0, True), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate')],
[('regression band-boundary 1', ('2.015556', '1.9956', 100, False), 'accept'),
('regression band-boundary 2', ('1.19829675', '1.2013', 25, False), 'accept'),
('partial repair guard 1', ('0.9', '1.0', 1000, False), 'accept'),
('partial repair guard 2', ('0.5', '2.0', 0, True), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate'),
('control: small move', ('1.08351', '1.0835', 1, False), 'accept'),
('control: rise too far', ('1.2', '1.0', 1000, False), 'reject'),
('control: inverted far', ('0.9', '1.0', 50, True), 'reject')],
[('regression band-boundary 1', ('0.61172550', '0.6102', 25, False), 'accept'),
('regression band-boundary 2', ('0.94611', '0.8601', 1000, False), 'accept'),
('partial repair guard 1', ('1.9529160', '1.9432', 50, False), 'accept'),
('partial repair guard 2', ('2.015556', '1.9956', 100, False), 'accept'),
('control: rise too far', ('1.2', '1.0', 1000, False), 'reject'),
('control: inverted far', ('0.9', '1.0', 50, True), 'reject'),
('control: upper boundary', ('1.1', '1.0', 1000, False), 'accept'),
('control: lower boundary', ('0.9', '1.0', 1000, False), 'accept')],
[('regression band-boundary 1', ('1.8098883', '1.8117', 10, False), 'accept'),
('regression band-boundary 2', ('1.29844', '1.1804', 1000, False), 'accept'),
('partial repair guard 1', ('1.610829', '1.6271', 100, False), 'accept'),
('partial repair guard 2', ('1.19829675', '1.2013', 25, False), 'accept'),
('control: lower boundary', ('0.9', '1.0', 1000, False), 'accept'),
('control: drop too far', ('0.8', '1.0', 1000, False), 'reject'),
('control: inverted exact', ('0.5', '2.0', 0, True), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate')],
[('regression band-boundary 1', ('1.886276', '1.8676', 100, False), 'accept'),
('regression band-boundary 2', ('1.68751', '1.5341', 1000, False), 'accept'),
('partial repair guard 1', ('0.61172550', '0.6102', 25, False), 'accept'),
('partial repair guard 2', ('0.94611', '0.8601', 1000, False), 'accept'),
('control: bad ref', ('1.2', '0', 5, False), 'ERR:rate'),
('control: small move', ('1.08351', '1.0835', 1, False), 'accept'),
('control: rise too far', ('1.2', '1.0', 1000, False), 'reject'),
('control: inverted far', ('0.9', '1.0', 50, True), 'reject')]]
for label, args, expected in cases[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 band-boundary 1 | accept | accept | Passed |
| regression band-boundary 2 | accept | accept | Passed |
| partial repair guard 2 | accept | accept | Passed |
| control: lower boundary | accept | accept | Passed |
| control: drop too far | reject | reject | Passed |
| control: inverted exact | accept | accept | Passed |
| control: bad ref | ERR:rate | ERR:rate | Passed |
SHA-256 / 786527074e57835e40832c056218e73f14017e906c01f05070fe12ae37ea8f62
Verification & scope
A deterministic, bounded teaching model with a stipulated toy contract; it makes no claim of conformance to any real regulation, standard, or institution's rules. 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 2026-09-29T14:47:02.628613+00:00.
Case digest / f64c51c0dbd2baf3bff7bab3a5daf16c3ead33a10594b2fc30ad6675ac2e4ee1