FA-7811 / Connection lifecycle / Open access

Connection coalescing requires origin coverage and address match · case 01

Connection coalescing requires origin coverage and address match.

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

ROOT CAUSE

The faulty implementation uses `covered and h2` for the connection-coalescing-requires-origin-coverage-and-address-match decision.

VERIFIED REPAIR

Apply the explicit connection-coalescing-requires-origin-coverage-and-address-match contract, including the tested boundary and negative cases.

Unsuccessful approach: The attempted repair uses `same_address and h2` and still violates a separate fixture.

Case contract

Bounded offline decision model: connection coalescing requires origin coverage and address match. Inputs are already validated protocol fields; the explicit fixtures define the supported policy, not a complete protocol implementation.

Why this case matters

This deterministic connection lifecycle model isolates the connection-coalescing-requires-origin-coverage-and-address-match policy at a network component boundary.

1 / The failure

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json
import ipaddress
import re
from urllib.parse import urlsplit, urljoin
N = 1
observations = []
def solve(covered, same_address, h2):
    return covered and h2
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
_fixtures = ["check('fixture 1', solve(True, False, True), False)", "check('fixture 2', solve(False, True, True), False)", "check('fixture 3', solve(True, True, True), True)", "check('fixture 4', solve(True, True, False), False)"]
for _line in _fixtures[N % len(_fixtures):] + _fixtures[:N % len(_fixtures)]:
    exec(_line)
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 2	`False`	`False`	Passed
fixture 3	`True`	`True`	Passed
fixture 4	`False`	`False`	Passed
fixture 1	`True`	`False`	Failed

SHA-256 / b49e3f4fea16b7cceed361dba5a932a97a849b06fddbc5d8745b2e4191ce974b

2 / The unsuccessful fix

Exit 1

"""Failure Map reference implementation. Python standard library only."""
import json
import ipaddress
import re
from urllib.parse import urlsplit, urljoin
N = 1
observations = []
def solve(covered, same_address, h2):
    return same_address and h2
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
_fixtures = ["check('fixture 1', solve(True, False, True), False)", "check('fixture 2', solve(False, True, True), False)", "check('fixture 3', solve(True, True, True), True)", "check('fixture 4', solve(True, True, False), False)"]
for _line in _fixtures[N % len(_fixtures):] + _fixtures[:N % len(_fixtures)]:
    exec(_line)
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 2	`True`	`False`	Failed
fixture 3	`True`	`True`	Passed
fixture 4	`False`	`False`	Passed
fixture 1	`False`	`False`	Passed

SHA-256 / 94c90ae04df8e668aa98974a4d12d61da4d84391b9920d9e05fefd790bf3fa52

3 / The verified repair

Exit 0

"""Failure Map reference implementation. Python standard library only."""
import json
import ipaddress
import re
from urllib.parse import urlsplit, urljoin
N = 1
observations = []
def solve(covered, same_address, h2):
    return covered and same_address and h2
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
_fixtures = ["check('fixture 1', solve(True, False, True), False)", "check('fixture 2', solve(False, True, True), False)", "check('fixture 3', solve(True, True, True), True)", "check('fixture 4', solve(True, True, False), False)"]
for _line in _fixtures[N % len(_fixtures):] + _fixtures[:N % len(_fixtures)]:
    exec(_line)
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 2	`False`	`False`	Passed
fixture 3	`True`	`True`	Passed
fixture 4	`False`	`False`	Passed
fixture 1	`False`	`False`	Passed

SHA-256 / 5cfcc1dcf3f69c931355e2ca278a7d8857458c1cb711552c585836f2de3f11bc

Verification & scope

Bounded deterministic policy model over validated inputs; not a complete protocol stack or an interoperability claim. The five variants rotate the same explicit fixture set. 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 2026-09-29T14:38:15.486278+00:00.

Case digest / 016949402bb3544b77bad46664b3459da1abfa35c43536bbefc06ed47a67111e