FA-95806 / Shipping rate zone lookup / Open access

Ounce tiers: zone 1 priced as group 0 · case 01

Local zone 1 parcels look up a nonexistent price group 0.

Verified by executionVariant 1 · 8 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Zones 1 and 2 are not merged into group 1.

VERIFIED REPAIR

Map zones 1-2 to group 1 and zone z to z-1 above that.

Unsuccessful approach: Subtracting two shifts every higher zone down a group.

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 = 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 = [[['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['one pound', [16, 3], ['LB', 1, 2]], ['small', [3.2, 2], ['OZ', 1, 1]], ['just over a pound', [17, 8], ['LB', 2, 7]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['generated mix 6', [15.99, 6], ['OZ', 4, 5]], ['generated mix 14', [8.4, 5], ['OZ', 3, 4]]], [['generated mix 53', [32, 1], ['LB', 2, 1]], ['generated mix 2', [40, 8], ['LB', 3, 7]], ['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 9', [33, 8], ['LB', 3, 7]], ['generated mix 17', [4.6, 6], ['OZ', 2, 5]]], [['generated mix 12', [0.3, 1], ['OZ', 1, 1]], ['generated mix 8', [12.4, 5], ['OZ', 4, 4]], ['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 21', [11.5, 6], ['OZ', 3, 5]], ['generated mix 29', [15.99, 2], ['OZ', 4, 1]]], [['generated mix 57', [12.4, 1], ['OZ', 4, 1]], ['generated mix 14', [8.4, 5], ['OZ', 3, 4]], ['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 31', [15.5, 3], ['OZ', 4, 2]], ['generated mix 39', [24, 3], ['LB', 2, 2]]], [['generated mix 23', [40, 1], ['LB', 3, 1]], ['generated mix 20', [8.4, 9], ['OZ', 3, 8]], ['just over a pound', [17, 8], ['LB', 2, 7]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['generated mix 43', [12.4, 9], ['OZ', 4, 8]], ['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
almost a pound	`['OZ', 4, 0]`	`['OZ', 4, 1]`	Failed
one pound	`['LB', 1, 2]`	`['LB', 1, 2]`	Passed
small	`['OZ', 1, 1]`	`['OZ', 1, 1]`	Passed
just over a pound	`['LB', 2, 7]`	`['LB', 2, 7]`	Passed
tier edge	`['OZ', 2, 1]`	`['OZ', 2, 1]`	Passed
tier two	`['OZ', 2, 4]`	`['OZ', 2, 4]`	Passed
generated mix 6	`['OZ', 4, 5]`	`['OZ', 4, 5]`	Passed
generated mix 14	`['OZ', 3, 4]`	`['OZ', 3, 4]`	Passed

SHA-256 / 405bb7c2be8bafd08f23fc65fe71d23c406aa2afa869888d44211e17314e9577

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 = max(1, zone - 2)
    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 = [[['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['one pound', [16, 3], ['LB', 1, 2]], ['small', [3.2, 2], ['OZ', 1, 1]], ['just over a pound', [17, 8], ['LB', 2, 7]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['generated mix 6', [15.99, 6], ['OZ', 4, 5]], ['generated mix 14', [8.4, 5], ['OZ', 3, 4]]], [['generated mix 53', [32, 1], ['LB', 2, 1]], ['generated mix 2', [40, 8], ['LB', 3, 7]], ['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 9', [33, 8], ['LB', 3, 7]], ['generated mix 17', [4.6, 6], ['OZ', 2, 5]]], [['generated mix 12', [0.3, 1], ['OZ', 1, 1]], ['generated mix 8', [12.4, 5], ['OZ', 4, 4]], ['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 21', [11.5, 6], ['OZ', 3, 5]], ['generated mix 29', [15.99, 2], ['OZ', 4, 1]]], [['generated mix 57', [12.4, 1], ['OZ', 4, 1]], ['generated mix 14', [8.4, 5], ['OZ', 3, 4]], ['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 31', [15.5, 3], ['OZ', 4, 2]], ['generated mix 39', [24, 3], ['LB', 2, 2]]], [['generated mix 23', [40, 1], ['LB', 3, 1]], ['generated mix 20', [8.4, 9], ['OZ', 3, 8]], ['just over a pound', [17, 8], ['LB', 2, 7]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['generated mix 43', [12.4, 9], ['OZ', 4, 8]], ['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
almost a pound	`['OZ', 4, 1]`	`['OZ', 4, 1]`	Passed
one pound	`['LB', 1, 1]`	`['LB', 1, 2]`	Failed
small	`['OZ', 1, 1]`	`['OZ', 1, 1]`	Passed
just over a pound	`['LB', 2, 6]`	`['LB', 2, 7]`	Failed
tier edge	`['OZ', 2, 1]`	`['OZ', 2, 1]`	Passed
tier two	`['OZ', 2, 3]`	`['OZ', 2, 4]`	Failed
generated mix 6	`['OZ', 4, 4]`	`['OZ', 4, 5]`	Failed
generated mix 14	`['OZ', 3, 3]`	`['OZ', 3, 4]`	Failed

SHA-256 / 1527dac022e5dc5fa525210919db9df1f6c5735e44b2e7ffdfedf725f4bf2b8c

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 = [[['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['one pound', [16, 3], ['LB', 1, 2]], ['small', [3.2, 2], ['OZ', 1, 1]], ['just over a pound', [17, 8], ['LB', 2, 7]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['tier two', [4.2, 5], ['OZ', 2, 4]], ['generated mix 6', [15.99, 6], ['OZ', 4, 5]], ['generated mix 14', [8.4, 5], ['OZ', 3, 4]]], [['generated mix 53', [32, 1], ['LB', 2, 1]], ['generated mix 2', [40, 8], ['LB', 3, 7]], ['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 9', [33, 8], ['LB', 3, 7]], ['generated mix 17', [4.6, 6], ['OZ', 2, 5]]], [['generated mix 12', [0.3, 1], ['OZ', 1, 1]], ['generated mix 8', [12.4, 5], ['OZ', 4, 4]], ['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 21', [11.5, 6], ['OZ', 3, 5]], ['generated mix 29', [15.99, 2], ['OZ', 4, 1]]], [['generated mix 57', [12.4, 1], ['OZ', 4, 1]], ['generated mix 14', [8.4, 5], ['OZ', 3, 4]], ['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 31', [15.5, 3], ['OZ', 4, 2]], ['generated mix 39', [24, 3], ['LB', 2, 2]]], [['generated mix 23', [40, 1], ['LB', 3, 1]], ['generated mix 20', [8.4, 9], ['OZ', 3, 8]], ['just over a pound', [17, 8], ['LB', 2, 7]], ['tier edge', [8, 2], ['OZ', 2, 1]], ['small', [3.2, 2], ['OZ', 1, 1]], ['almost a pound', [15.5, 1], ['OZ', 4, 1]], ['generated mix 43', [12.4, 9], ['OZ', 4, 8]], ['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
almost a pound	`['OZ', 4, 1]`	`['OZ', 4, 1]`	Passed
one pound	`['LB', 1, 2]`	`['LB', 1, 2]`	Passed
small	`['OZ', 1, 1]`	`['OZ', 1, 1]`	Passed
just over a pound	`['LB', 2, 7]`	`['LB', 2, 7]`	Passed
tier edge	`['OZ', 2, 1]`	`['OZ', 2, 1]`	Passed
tier two	`['OZ', 2, 4]`	`['OZ', 2, 4]`	Passed
generated mix 6	`['OZ', 4, 5]`	`['OZ', 4, 5]`	Passed
generated mix 14	`['OZ', 3, 4]`	`['OZ', 3, 4]`	Passed

SHA-256 / 1b83c98c06f35d9a8dd5852ab824c69c9ff703c10698988e90b7db57d24b599c

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 2026-09-29T14:52:16.989544+00:00.

Case digest / ae3bc86e518dba5e7df3a29e3560723aa29a845309d4c367ae657ea896483955