FAILURE MAP
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FA-36041 / Tab interfaces / Open access

Unpin restoration: absolute restoration slot · case 01

The tab workspace reports an incorrect absolute restoration slot.

Verified by executionVariant 1 · 6 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The absolute restoration slot decision uses x['rank'] instead of len(x['pins'])-1+min(x['rank'],len(x['normal'])).

THE FAILURE

The absolute restoration slot decision uses x['rank'] instead of len(x['pins'])-1+min(x['rank'],len(x['normal'])).

Unsuccessful approach: The partial repair len(x['pins'])+min(x['rank'],len(x['normal'])) still violates a workspace boundary or normal case.

Case contract

Unpin restores a tab after the remaining pin prefix at its saved unpinned rank, clamps rank to the current normal partition and restores surviving group membership.

Why this case matters

Offline tab/panel workspace behavior; no browser or desktop framework is emulated.

1 / The failure

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

N = 1
observations = []
def solve(x):
    r0 = [t for t in x['pins'] if t!=x['unpin']]
    r1 = min(x['rank'],len(x['normal']))
    r2 = x['rank']
    r3 = x['normal'][:min(x['rank'],len(x['normal']))]+[x['unpin']]+x['normal'][min(x['rank'],len(x['normal'])):]
    r4 = x['saved_group'] if x['saved_group'] in x['groups'] else None
    r5 = len(x['pins'])-1
    return [r0,r1,r2,r3,r4,r5]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': [], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1])], 2: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 4, 5, ['a', 'b', 'c', 'extra0', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 1, 2, ['extra0', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0'], 'g', 1])], 3: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 5, 6, ['a', 'b', 'c', 'extra0', 'extra1', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1'], 'g', 1])], 4: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 6, 7, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1])], 5: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 7, 8, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1])]}
for i, (inputs, expected) in enumerate(fixtures[N]):
    check("workspace regression "+str(i), solve(inputs), expected)
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
workspace regression 0[['q'], 2, 2, ['a', 'b', 'p', 'c'], 'g', 1][['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1]Failed
workspace regression 1[['q'], 0, 0, ['p', 'a', 'b', 'c'], 'g', 1][['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1]Failed
workspace regression 2[['q'], 3, 9, ['a', 'b', 'c', 'p'], 'g', 1][['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1]Failed
workspace regression 3[['q'], 0, 2, ['p'], 'g', 1][['q'], 0, 1, ['p'], 'g', 1]Failed
workspace regression 4[['q'], 2, 2, ['a', 'b', 'p', 'c'], None, 1][['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1]Failed
workspace regression 5[['p'], 2, 2, ['a', 'b', 'q', 'c'], 'g', 1][['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1]Failed

SHA-256 / 4189ba18b52a082446eaecbc90bdc090d2b21b1f1ecae8d50a18b1ee636a5a30

2 / The unsuccessful fix

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

N = 1
observations = []
def solve(x):
    r0 = [t for t in x['pins'] if t!=x['unpin']]
    r1 = min(x['rank'],len(x['normal']))
    r2 = len(x['pins'])+min(x['rank'],len(x['normal']))
    r3 = x['normal'][:min(x['rank'],len(x['normal']))]+[x['unpin']]+x['normal'][min(x['rank'],len(x['normal'])):]
    r4 = x['saved_group'] if x['saved_group'] in x['groups'] else None
    r5 = len(x['pins'])-1
    return [r0,r1,r2,r3,r4,r5]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = {1: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': [], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1])], 2: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 4, 5, ['a', 'b', 'c', 'extra0', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 1, 2, ['extra0', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0'], 'g', 1])], 3: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 5, 6, ['a', 'b', 'c', 'extra0', 'extra1', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1'], 'g', 1])], 4: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 6, 7, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p', 'extra2'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1', 'extra2'], 'g', 1])], 5: [({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 0, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 0, 1, ['p', 'a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 9, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 7, 8, ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3', 'p'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['q'], 2, 3, ['extra0', 'extra1', 'p', 'extra2', 'extra3'], 'g', 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'p', 'rank': 2, 'saved_group': 'g', 'groups': ['h']}, [['q'], 2, 3, ['a', 'b', 'p', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], None, 1]), ({'pins': ['p', 'q'], 'normal': ['a', 'b', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'unpin': 'q', 'rank': 2, 'saved_group': 'g', 'groups': ['g', 'h']}, [['p'], 2, 3, ['a', 'b', 'q', 'c', 'extra0', 'extra1', 'extra2', 'extra3'], 'g', 1])]}
for i, (inputs, expected) in enumerate(fixtures[N]):
    check("workspace regression "+str(i), solve(inputs), expected)
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
workspace regression 0[['q'], 2, 4, ['a', 'b', 'p', 'c'], 'g', 1][['q'], 2, 3, ['a', 'b', 'p', 'c'], 'g', 1]Failed
workspace regression 1[['q'], 0, 2, ['p', 'a', 'b', 'c'], 'g', 1][['q'], 0, 1, ['p', 'a', 'b', 'c'], 'g', 1]Failed
workspace regression 2[['q'], 3, 5, ['a', 'b', 'c', 'p'], 'g', 1][['q'], 3, 4, ['a', 'b', 'c', 'p'], 'g', 1]Failed
workspace regression 3[['q'], 0, 2, ['p'], 'g', 1][['q'], 0, 1, ['p'], 'g', 1]Failed
workspace regression 4[['q'], 2, 4, ['a', 'b', 'p', 'c'], None, 1][['q'], 2, 3, ['a', 'b', 'p', 'c'], None, 1]Failed
workspace regression 5[['p'], 2, 4, ['a', 'b', 'q', 'c'], 'g', 1][['p'], 2, 3, ['a', 'b', 'q', 'c'], 'g', 1]Failed

SHA-256 / e9f5e1dc7539336ab6302d544044f7c79e2be73531d1617762891b1fb8b6c2b2

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 6 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.

Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.

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Verification & scope

Finite stipulated workspace snapshots only. Independent result fields describe observable obligations, not a full UI runtime. 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 2026-09-29T14:42:47.501680+00:00.

Case digest / 1706e11efe8e948679e43ffc1e6fa27b68e67d830a7e669a9cdc45d2bd0636a2