FA-6366 / Discrete calculus / Open access

Prefix products inclusive · case 01

Addition replaces multiplicative accumulation.

Verified by executionVariant 1 · 4 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Addition replaces multiplicative accumulation.

VERIFIED REPAIR

Apply the specified mathematical contract directly, preserving all terms and boundary cases: return list(itertools.accumulate(values,lambda a,b:a*b))

Unsuccessful approach: The current factor is excluded.

Case contract

Integer sample values and compatible sample-array lengths. Rational results are reduced Fraction strings; spacing is positive unless explicitly stated otherwise. Prefix products inclusive. Exact operational definition: list(itertools.accumulate(values,lambda a,b:a*b))

Why this case matters

Small exact fixtures expose this error without platform timing, external services, or probabilistic observations. Discrete calculus results depend on the stated convention.

1 / The failure

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json
import math
import calendar
import statistics
import itertools
from fractions import Fraction
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN, ROUND_CEILING, ROUND_FLOOR

N = 1
observations = []
def solve(values):
    return list(itertools.accumulate(values))
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1: ([2, 3, 4],)', solve(*([2, 3, 4],)), [2, 6, 24])
check('fixture 2: ([2, 0, 5],)', solve(*([2, 0, 5],)), [2, 0, 0])
check('fixture 3: ([5],)', solve(*([5],)), [5])
check('fixture 4: ([],)', solve(*([],)), [])
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
fixture 1: ([2, 3, 4],)	`[2, 5, 9]`	`[2, 6, 24]`	Failed
fixture 2: ([2, 0, 5],)	`[2, 2, 7]`	`[2, 0, 0]`	Failed
fixture 3: ([5],)	`[5]`	`[5]`	Passed
fixture 4: ([],)	`[]`	`[]`	Passed

SHA-256 / 877ff47b47c7002617b3f5dddc075ffd67821ed9642fb43c09549c78e90641ab

2 / The unsuccessful fix

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json
import math
import calendar
import statistics
import itertools
from fractions import Fraction
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN, ROUND_CEILING, ROUND_FLOOR

N = 1
observations = []
def solve(values):
    return [math.prod(values[:i]) for i in range(len(values))]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1: ([2, 3, 4],)', solve(*([2, 3, 4],)), [2, 6, 24])
check('fixture 2: ([2, 0, 5],)', solve(*([2, 0, 5],)), [2, 0, 0])
check('fixture 3: ([5],)', solve(*([5],)), [5])
check('fixture 4: ([],)', solve(*([],)), [])
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
fixture 1: ([2, 3, 4],)	`[1, 2, 6]`	`[2, 6, 24]`	Failed
fixture 2: ([2, 0, 5],)	`[1, 2, 0]`	`[2, 0, 0]`	Failed
fixture 3: ([5],)	`[1]`	`[5]`	Failed
fixture 4: ([],)	`[]`	`[]`	Passed

SHA-256 / d999aa18a8bf29a52cbfcf8a7670f7ad1b1dc5404eaafc18ea9e39b67ebc8b7c

3 / The verified repair

Exit 0

"""Failure Map reference implementation. Python standard library only."""
import json
import math
import calendar
import statistics
import itertools
from fractions import Fraction
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal, ROUND_HALF_UP, ROUND_DOWN, ROUND_CEILING, ROUND_FLOOR

N = 1
observations = []
def solve(values):
    return list(itertools.accumulate(values,lambda a,b:a*b))
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1: ([2, 3, 4],)', solve(*([2, 3, 4],)), [2, 6, 24])
check('fixture 2: ([2, 0, 5],)', solve(*([2, 0, 5],)), [2, 0, 0])
check('fixture 3: ([5],)', solve(*([5],)), [5])
check('fixture 4: ([],)', solve(*([],)), [])
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
fixture 1: ([2, 3, 4],)	`[2, 6, 24]`	`[2, 6, 24]`	Passed
fixture 2: ([2, 0, 5],)	`[2, 0, 0]`	`[2, 0, 0]`	Passed
fixture 3: ([5],)	`[5]`	`[5]`	Passed
fixture 4: ([],)	`[]`	`[]`	Passed

SHA-256 / 6f56a368e12f38d0795373b9f0ea0a1001640a5976652b8e69122ef32e4787ae

Verification & scope

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 2026-09-29T14:38:00.874384+00:00.

Case digest / 53c594ae47cefb8e20a34c54a8e04b40501d3fd21e7b1c0cf95217c9d2fca4f0