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FA-8081 / Disclosure widgets / Open access

Accordion open-panel state: Removed panels retain their expanded state · case 01

Removed panels retain their expanded state.

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

ROOT CAUSE

The removed panels operation uses `set(opened)` where the contract requires `set(opened) & valid`.

VERIFIED REPAIR

Implement the removed panels operation as `set(opened) & valid`.

Unsuccessful approach: Opening every valid panel invents expansion state.

Case contract

Discard removed panels; ignore invalid targets; expanded panels close only when collapsible; multiple mode unions and single mode replaces.

Why this case matters

A deterministic model of accordion open-panel state; this isolates one interface invariant without requiring a browser.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(panels, opened, target, multiple, collapsible):
    valid = set(panels)
    opened = set(opened)
    if target not in valid: return sorted(opened)
    if target in opened:
        if collapsible: opened.remove(target)
    elif multiple: opened.add(target)
    else: opened = {target}
    return sorted(opened)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('removed', solve(['a','b'], ['a','gone'], 'unknown', True, True), ['a'])
check('unknown', solve(['a','b'], ['a'], 'unknown', True, True), ['a'])
check('locked', solve(['a','b'], ['a'], 'a', False, False), ['a'])
check('collapse', solve(['a','b'], ['a'], 'a', False, True), [])
check('multiple', solve(['a','b'], ['a'], 'b', True, True), ['a', 'b'])
check('single', solve(['a','b'], ['a'], 'b', False, True), ['b'])
check('parameterized panels', solve(list(range(N+1)), [0], N, True, True), [0,N])
for repetition in range(N):
    check('repeat single', solve(['a','b'], ['a'], 'b', False, True), ['b'])
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
removed['a', 'gone']['a']Failed
unknown['a']['a']Passed
locked['a']['a']Passed
collapse[][]Passed
multiple['a', 'b']['a', 'b']Passed
single['b']['b']Passed
parameterized panels[0, 1][0, 1]Passed
repeat single['b']['b']Passed

SHA-256 / 4a2af29842568eba9f3bf47202fd7d698b71d3d7c77f05f99ea131b52b3185ad

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(panels, opened, target, multiple, collapsible):
    valid = set(panels)
    opened = valid
    if target not in valid: return sorted(opened)
    if target in opened:
        if collapsible: opened.remove(target)
    elif multiple: opened.add(target)
    else: opened = {target}
    return sorted(opened)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('removed', solve(['a','b'], ['a','gone'], 'unknown', True, True), ['a'])
check('unknown', solve(['a','b'], ['a'], 'unknown', True, True), ['a'])
check('locked', solve(['a','b'], ['a'], 'a', False, False), ['a'])
check('collapse', solve(['a','b'], ['a'], 'a', False, True), [])
check('multiple', solve(['a','b'], ['a'], 'b', True, True), ['a', 'b'])
check('single', solve(['a','b'], ['a'], 'b', False, True), ['b'])
check('parameterized panels', solve(list(range(N+1)), [0], N, True, True), [0,N])
for repetition in range(N):
    check('repeat single', solve(['a','b'], ['a'], 'b', False, True), ['b'])
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
removed['a', 'b']['a']Failed
unknown['a', 'b']['a']Failed
locked['a', 'b']['a']Failed
collapse['b'][]Failed
multiple['a']['a', 'b']Failed
single['a']['b']Failed
parameterized panels[0][0, 1]Failed
repeat single['a']['b']Failed

SHA-256 / 8b438ef6f45f4e05ead977262b6ec452d1afd60b8972c09528853318700f3553

3 / The verified repair

Exit 0
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(panels, opened, target, multiple, collapsible):
    valid = set(panels)
    opened = set(opened) & valid
    if target not in valid: return sorted(opened)
    if target in opened:
        if collapsible: opened.remove(target)
    elif multiple: opened.add(target)
    else: opened = {target}
    return sorted(opened)
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
check('removed', solve(['a','b'], ['a','gone'], 'unknown', True, True), ['a'])
check('unknown', solve(['a','b'], ['a'], 'unknown', True, True), ['a'])
check('locked', solve(['a','b'], ['a'], 'a', False, False), ['a'])
check('collapse', solve(['a','b'], ['a'], 'a', False, True), [])
check('multiple', solve(['a','b'], ['a'], 'b', True, True), ['a', 'b'])
check('single', solve(['a','b'], ['a'], 'b', False, True), ['b'])
check('parameterized panels', solve(list(range(N+1)), [0], N, True, True), [0,N])
for repetition in range(N):
    check('repeat single', solve(['a','b'], ['a'], 'b', False, True), ['b'])
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
removed['a']['a']Passed
unknown['a']['a']Passed
locked['a']['a']Passed
collapse[][]Passed
multiple['a', 'b']['a', 'b']Passed
single['b']['b']Passed
parameterized panels[0, 1][0, 1]Passed
repeat single['b']['b']Passed

SHA-256 / b8fe78cbde67bd47435fdfb2ceb8126435f2c64371760b474144ab9b1ae04f34

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 2026-09-29T14:38:18.085435+00:00.

Case digest / b2ee5cddf76006f7d523bf42a914526e4953e88d5405bc82e08e773b48ede867