FAILURE MAP
← Case archive

FA-4706 / Multiset accounting / Open access

Counter total includes negative and zero · case 01

The operation returns a result or retained state that violates this contract: The total sums all signed counts, including negative entries rather than counting expanded positive elements.

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

ROOT CAUSE

Counting expanded elements omits negative contributions.

VERIFIED REPAIR

The total sums all signed counts, including negative entries rather than counting expanded positive elements.

Unsuccessful approach: Counting keys ignores their signed multiplicities.

Case contract

The total sums all signed counts, including negative entries rather than counting expanded positive elements. Inputs are the finite Python values shown by the executable fixtures; no concurrent execution is assumed.

Why this case matters

A controlled local-runtime regression for collection APIs, language semantics, or ownership wrappers. Fixtures include boundary and interaction cases.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
from collections import Counter, ChainMap, deque
import heapq
N = 1
observations = []
def solve(x, y=None):
    return len(list(Counter(x).elements()))
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('negative offsets positive', solve({'a': 3, 'b': -2, 'c': 0}), 1)
check('negative total', solve({'a': -3}), -3)
check('one member multiple count', solve({'a': 4}), 4)
check('empty', solve({}), 0)
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 fixtureActualExpectedOutcome
negative offsets positive31Failed
negative total0-3Failed
one member multiple count44Passed
empty00Passed

SHA-256 / 3017cb9d6e01b34fd54ec705cef40eced219b1f2bc6606f0ef31a3d6dcb690f1

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
from collections import Counter, ChainMap, deque
import heapq
N = 1
observations = []
def solve(x, y=None):
    return len(x)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('negative offsets positive', solve({'a': 3, 'b': -2, 'c': 0}), 1)
check('negative total', solve({'a': -3}), -3)
check('one member multiple count', solve({'a': 4}), 4)
check('empty', solve({}), 0)
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 fixtureActualExpectedOutcome
negative offsets positive31Failed
negative total1-3Failed
one member multiple count14Failed
empty00Passed

SHA-256 / 76f557c03adfc808870924f6946350ea5537cea4dea7123e241b45f8d773aa6e

3 / The verified repair

Exit 0
"""Failure Map reference implementation. Python standard library only."""
import json
from collections import Counter, ChainMap, deque
import heapq
N = 1
observations = []
def solve(x, y=None):
    return sum(Counter(x).values())
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('negative offsets positive', solve({'a': 3, 'b': -2, 'c': 0}), 1)
check('negative total', solve({'a': -3}), -3)
check('one member multiple count', solve({'a': 4}), 4)
check('empty', solve({}), 0)
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 fixtureActualExpectedOutcome
negative offsets positive11Passed
negative total-3-3Passed
one member multiple count44Passed
empty00Passed

SHA-256 / a7cd83964570e8bed23ca436bdc4f820cb59bb6ff97f0a9133853496689f7fd2

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 2026-09-29T14:37:41.978322+00:00.

Case digest / fcdef37d9f7b6851b8340b92ac484e38645842a867afd0eebae1b018d8424209