FA-95786 / Shipping rate zone lookup / Open access
Ounce tiers: 16 oz priced as ounces · case 01
A parcel of exactly one pound is sold the lightweight ounce price.
ROOT CAUSE
The ounce/pound boundary includes 16 oz in ounce pricing.
VERIFIED REPAIR
Use ounce tiers only strictly below 16 oz.
Unsuccessful approach: Rounding before the boundary moves 15.5 oz parcels into pound pricing.
Case contract
Parcels under 16 oz are priced in ounce tiers: ounces rounded up to a whole ounce, tier = ceil(oz/4) capped at 4. 16 oz and above price by pounds = ceil(ounces/16). Zones 1 and 2 share price group 1; zone z >= 3 is group z-1. Return [kind, n, group].
Why this case matters
Lightweight services price by ounce tier before switching to pounds.
1 / The failure
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(ounces, zone):
group = 1 if zone <= 2 else zone - 1
if ounces <= 16:
oz = math.ceil(ounces)
return ['OZ', min(4, -(-oz // 4)), group]
return ['LB', math.ceil(ounces / 16), group]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['one pound', [16, 3], ['LB', 1, 2]], ['generated mix 1', [15.99, 7], ['OZ', 4, 6]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['two pounds', [32, 9], ['LB', 2, 8]], ['rounded to 13', [12.4, 4], ['OZ', 4, 3]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['generated mix 7', [33, 2], ['LB', 3, 1]]], [['generated mix 66', [16, 2], ['LB', 1, 1]], ['generated mix 37', [15.99, 2], ['OZ', 4, 1]], ['one pound', [16, 3], ['LB', 1, 2]], ['two pounds', [32, 9], ['LB', 2, 8]], ['rounded to 13', [12.4, 4], ['OZ', 4, 3]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['generated mix 8', [12.4, 5], ['OZ', 4, 4]], ['generated mix 16', [4.6, 9], ['OZ', 2, 8]]], [['generated mix 28', [16, 7], ['LB', 1, 6]], ['generated mix 63', [15.5, 1], ['OZ', 4, 1]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['just over a pound', [17, 8], ['LB', 2, 7]], ['generated mix 19', [8, 8], ['OZ', 2, 7]], ['generated mix 27', [4.6, 6], ['OZ', 2, 5]]], [['generated mix 13', [16, 4], ['LB', 1, 3]], ['generated mix 29', [15.99, 2], ['OZ', 4, 1]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['one pound', [16, 3], ['LB', 1, 2]], ['two pounds', [32, 9], ['LB', 2, 8]], ['rounded to 13', [12.4, 4], ['OZ', 4, 3]], ['generated mix 32', [15.5, 1], ['OZ', 4, 1]], ['generated mix 40', [8, 2], ['OZ', 2, 1]]], [['one pound', [16, 3], ['LB', 1, 2]], ['generated mix 45', [15.5, 6], ['OZ', 4, 5]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['two pounds', [32, 9], ['LB', 2, 8]], ['generated mix 42', [3.2, 7], ['OZ', 1, 6]], ['generated mix 51', [24, 6], ['LB', 2, 5]]]]
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 |
|---|---|---|---|
| one pound | ['OZ', 4, 2] | ['LB', 1, 2] | Failed |
| generated mix 1 | ['OZ', 4, 6] | ['OZ', 4, 6] | Passed |
| small | ['OZ', 1, 1] | ['OZ', 1, 1] | Passed |
| almost a pound | ['OZ', 4, 1] | ['OZ', 4, 1] | Passed |
| two pounds | ['LB', 2, 8] | ['LB', 2, 8] | Passed |
| rounded to 13 | ['OZ', 4, 3] | ['OZ', 4, 3] | Passed |
| tier two | ['OZ', 2, 4] | ['OZ', 2, 4] | Passed |
| generated mix 7 | ['LB', 3, 1] | ['LB', 3, 1] | Passed |
SHA-256 / 73a75d83313aace98d39d9a14fe0b9208078101611f63166228052acb2922f00
2 / The unsuccessful fix
Exit 1"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(ounces, zone):
group = 1 if zone <= 2 else zone - 1
if math.ceil(ounces) < 16:
oz = math.ceil(ounces)
return ['OZ', min(4, -(-oz // 4)), group]
return ['LB', math.ceil(ounces / 16), group]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['one pound', [16, 3], ['LB', 1, 2]], ['generated mix 1', [15.99, 7], ['OZ', 4, 6]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['two pounds', [32, 9], ['LB', 2, 8]], ['rounded to 13', [12.4, 4], ['OZ', 4, 3]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['generated mix 7', [33, 2], ['LB', 3, 1]]], [['generated mix 66', [16, 2], ['LB', 1, 1]], ['generated mix 37', [15.99, 2], ['OZ', 4, 1]], ['one pound', [16, 3], ['LB', 1, 2]], ['two pounds', [32, 9], ['LB', 2, 8]], ['rounded to 13', [12.4, 4], ['OZ', 4, 3]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['generated mix 8', [12.4, 5], ['OZ', 4, 4]], ['generated mix 16', [4.6, 9], ['OZ', 2, 8]]], [['generated mix 28', [16, 7], ['LB', 1, 6]], ['generated mix 63', [15.5, 1], ['OZ', 4, 1]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['just over a pound', [17, 8], ['LB', 2, 7]], ['generated mix 19', [8, 8], ['OZ', 2, 7]], ['generated mix 27', [4.6, 6], ['OZ', 2, 5]]], [['generated mix 13', [16, 4], ['LB', 1, 3]], ['generated mix 29', [15.99, 2], ['OZ', 4, 1]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['one pound', [16, 3], ['LB', 1, 2]], ['two pounds', [32, 9], ['LB', 2, 8]], ['rounded to 13', [12.4, 4], ['OZ', 4, 3]], ['generated mix 32', [15.5, 1], ['OZ', 4, 1]], ['generated mix 40', [8, 2], ['OZ', 2, 1]]], [['one pound', [16, 3], ['LB', 1, 2]], ['generated mix 45', [15.5, 6], ['OZ', 4, 5]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['two pounds', [32, 9], ['LB', 2, 8]], ['generated mix 42', [3.2, 7], ['OZ', 1, 6]], ['generated mix 51', [24, 6], ['LB', 2, 5]]]]
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 |
|---|---|---|---|
| one pound | ['LB', 1, 2] | ['LB', 1, 2] | Passed |
| generated mix 1 | ['LB', 1, 6] | ['OZ', 4, 6] | Failed |
| small | ['OZ', 1, 1] | ['OZ', 1, 1] | Passed |
| almost a pound | ['LB', 1, 1] | ['OZ', 4, 1] | Failed |
| two pounds | ['LB', 2, 8] | ['LB', 2, 8] | Passed |
| rounded to 13 | ['OZ', 4, 3] | ['OZ', 4, 3] | Passed |
| tier two | ['OZ', 2, 4] | ['OZ', 2, 4] | Passed |
| generated mix 7 | ['LB', 3, 1] | ['LB', 3, 1] | Passed |
SHA-256 / 775532fe5a9d6c5ed3c308f64634b1b8c99d2f4c1ec1ad8e8ae0a38e6380b8e1
3 / The verified repair
Exit 0"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(ounces, zone):
group = 1 if zone <= 2 else zone - 1
if ounces < 16:
oz = math.ceil(ounces)
return ['OZ', min(4, -(-oz // 4)), group]
return ['LB', math.ceil(ounces / 16), group]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['one pound', [16, 3], ['LB', 1, 2]], ['generated mix 1', [15.99, 7], ['OZ', 4, 6]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['two pounds', [32, 9], ['LB', 2, 8]], ['rounded to 13', [12.4, 4], ['OZ', 4, 3]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['generated mix 7', [33, 2], ['LB', 3, 1]]], [['generated mix 66', [16, 2], ['LB', 1, 1]], ['generated mix 37', [15.99, 2], ['OZ', 4, 1]], ['one pound', [16, 3], ['LB', 1, 2]], ['two pounds', [32, 9], ['LB', 2, 8]], ['rounded to 13', [12.4, 4], ['OZ', 4, 3]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['generated mix 8', [12.4, 5], ['OZ', 4, 4]], ['generated mix 16', [4.6, 9], ['OZ', 2, 8]]], [['generated mix 28', [16, 7], ['LB', 1, 6]], ['generated mix 63', [15.5, 1], ['OZ', 4, 1]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['just over a pound', [17, 8], ['LB', 2, 7]], ['generated mix 19', [8, 8], ['OZ', 2, 7]], ['generated mix 27', [4.6, 6], ['OZ', 2, 5]]], [['generated mix 13', [16, 4], ['LB', 1, 3]], ['generated mix 29', [15.99, 2], ['OZ', 4, 1]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['one pound', [16, 3], ['LB', 1, 2]], ['two pounds', [32, 9], ['LB', 2, 8]], ['rounded to 13', [12.4, 4], ['OZ', 4, 3]], ['generated mix 32', [15.5, 1], ['OZ', 4, 1]], ['generated mix 40', [8, 2], ['OZ', 2, 1]]], [['one pound', [16, 3], ['LB', 1, 2]], ['generated mix 45', [15.5, 6], ['OZ', 4, 5]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['two pounds', [32, 9], ['LB', 2, 8]], ['generated mix 42', [3.2, 7], ['OZ', 1, 6]], ['generated mix 51', [24, 6], ['LB', 2, 5]]]]
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 |
|---|---|---|---|
| one pound | ['LB', 1, 2] | ['LB', 1, 2] | Passed |
| generated mix 1 | ['OZ', 4, 6] | ['OZ', 4, 6] | Passed |
| small | ['OZ', 1, 1] | ['OZ', 1, 1] | Passed |
| almost a pound | ['OZ', 4, 1] | ['OZ', 4, 1] | Passed |
| two pounds | ['LB', 2, 8] | ['LB', 2, 8] | Passed |
| rounded to 13 | ['OZ', 4, 3] | ['OZ', 4, 3] | Passed |
| tier two | ['OZ', 2, 4] | ['OZ', 2, 4] | Passed |
| generated mix 7 | ['LB', 3, 1] | ['LB', 3, 1] | Passed |
SHA-256 / 543d2ca142beac3901a6f4227c0eef86a86604d7eb215ed8d4b973686d34408f
Verification & scope
Stipulated tier sizes and zone groups. 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 2026-09-29T14:52:16.818349+00:00.
Case digest / 396750029467b7a757e798d801741c77c0dcf9ade8fabe85bb8952e8fcabb5b5