FA-6031 / Linear algebra / Open access
Matrix vector product · case 01
Products between nonmatching coordinates contaminate each row.
ROOT CAUSE
Products between nonmatching coordinates contaminate each row.
VERIFIED REPAIR
Apply the specified mathematical contract directly, preserving all terms and boundary cases: return [sum(x*y for x,y in zip(row,v)) for row in m]
Unsuccessful approach: Row totals and vector totals are added instead of paired multiplication.
Case contract
Integer matrix/vector entries, rectangular rows, compatible multiplication dimensions, and square matrices for determinant, trace, inverse, symmetry and characteristic-polynomial operations. Rational matrix outputs are reduced Fraction strings. Matrix vector product. Exact operational definition: [sum(x*y for x,y in zip(row,v)) for row in m]
Why this case matters
Small exact fixtures expose this error without platform timing, external services, or probabilistic observations. Linear algebra 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(m, v):
return [sum(row)*sum(v) for row in m]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1: ([[1, 2], [3, 4]], [2, 1])', solve(*([[1, 2], [3, 4]], [2, 1])), [4, 10])
check('fixture 2: ([[0, 0]], [1, 2])', solve(*([[0, 0]], [1, 2])), [0])
check('fixture 3: ([[1, 0], [0, 1]], [3, 4])', solve(*([[1, 0], [0, 1]], [3, 4])), [3, 4])
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: ([[1, 2], [3, 4]], [2, 1]) | [9, 21] | [4, 10] | Failed |
| fixture 2: ([[0, 0]], [1, 2]) | [0] | [0] | Passed |
| fixture 3: ([[1, 0], [0, 1]], [3, 4]) | [7, 7] | [3, 4] | Failed |
| fixture 4: ([], []) | [] | [] | Passed |
SHA-256 / d7a249c5b062d899abccd43a18b2570ec34969c3f493ad9437f46eb7d9acfeaf
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(m, v):
return [sum(row)+sum(v) for row in m]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1: ([[1, 2], [3, 4]], [2, 1])', solve(*([[1, 2], [3, 4]], [2, 1])), [4, 10])
check('fixture 2: ([[0, 0]], [1, 2])', solve(*([[0, 0]], [1, 2])), [0])
check('fixture 3: ([[1, 0], [0, 1]], [3, 4])', solve(*([[1, 0], [0, 1]], [3, 4])), [3, 4])
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: ([[1, 2], [3, 4]], [2, 1]) | [6, 10] | [4, 10] | Failed |
| fixture 2: ([[0, 0]], [1, 2]) | [3] | [0] | Failed |
| fixture 3: ([[1, 0], [0, 1]], [3, 4]) | [8, 8] | [3, 4] | Failed |
| fixture 4: ([], []) | [] | [] | Passed |
SHA-256 / 8227d79b1584f55b798dffbbe68a096d2e512a447ae7c65280ea4b670ff0f808
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(m, v):
return [sum(x*y for x,y in zip(row,v)) for row in m]
def check(label, actual, expected):
observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('fixture 1: ([[1, 2], [3, 4]], [2, 1])', solve(*([[1, 2], [3, 4]], [2, 1])), [4, 10])
check('fixture 2: ([[0, 0]], [1, 2])', solve(*([[0, 0]], [1, 2])), [0])
check('fixture 3: ([[1, 0], [0, 1]], [3, 4])', solve(*([[1, 0], [0, 1]], [3, 4])), [3, 4])
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: ([[1, 2], [3, 4]], [2, 1]) | [4, 10] | [4, 10] | Passed |
| fixture 2: ([[0, 0]], [1, 2]) | [0] | [0] | Passed |
| fixture 3: ([[1, 0], [0, 1]], [3, 4]) | [3, 4] | [3, 4] | Passed |
| fixture 4: ([], []) | [] | [] | Passed |
SHA-256 / ba18927a94abbed5ab512ab947e12c5fec0805a6048121caf9d9a06d94dcac9a
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 2026-09-29T14:37:56.799605+00:00.
Case digest / 08505b48e5a9f8698cab03d31d6f4f2af089e2c487c2b28e6bfec87a220f0337