{"abstract":"The tab workspace reports an incorrect pin exclusion.","category":"Tab interfaces","checks":6,"contract":"Suspend inactive clean unpinned panels in least-recently-used order until the stated panel-count budget is met; active, dirty and pinned panels remain resident.","contract_signature":"x","evaluation_group":"s3-tabs-suspension-victims","failed_approach":"The partial repair [] still violates a workspace boundary or normal case.","family":"s3-tab-interfaces-suspension-victims-pin-exclusion","id":"FA-35531","implementations":{"attempt":{"sha256":"572fa94ac8b88b902637ebb7a9e1a09da687b3ef38e0af73632c6ca26ee7c676","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    r0 = [t for t in x['lru'] if t!=x['active']]\n    r1 = [t for t in x['lru'] if t not in x['dirty']]\n    r2 = []\n    r3 = max(0,len(x['lru'])-x['budget'])\n    r4 = [t for t in x['lru'] if t!=x['active'] and t not in x['dirty'] and t not in x['pins']]\n    r5 = [t for t in x['lru'] if t!=x['active'] and t not in x['dirty'] and t not in x['pins']][:max(0,len(x['lru'])-x['budget'])]\n    return [r0,r1,r2,r3,r4,r5]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = {1: [({'lru': ['a', 'b', 'c', 'd'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c'], ['a', 'c', 'd'], ['a', 'b', 'd'], 2, ['a'], ['a']]), ({'lru': ['a', 'b', 'c', 'd'], 'active': 'd', 'dirty': [], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c'], ['a', 'b', 'c', 'd'], ['a', 'b', 'd'], 2, ['a', 'b'], ['a', 'b']]), ({'lru': ['a', 'b', 'c', 'd'], 'active': 'd', 'dirty': ['b'], 'pins': [], 'budget': 2}, [['a', 'b', 'c'], ['a', 'c', 'd'], ['a', 'b', 'c', 'd'], 2, ['a', 'c'], ['a', 'c']]), ({'lru': ['a', 'b', 'c', 'd'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 4}, [['a', 'b', 'c'], ['a', 'c', 'd'], ['a', 'b', 'd'], 0, ['a'], []]), ({'lru': ['a', 'b', 'c', 'd'], 'active': 'a', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['b', 'c', 'd'], ['a', 'c', 'd'], ['a', 'b', 'd'], 2, ['d'], ['d']]), ({'lru': ['a', 'b', 'c', 'd'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 0}, [['a', 'b', 'c'], ['a', 'c', 'd'], ['a', 'b', 'd'], 4, ['a'], ['a']])], 2: [({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0'], ['a', 'c', 'd', 'background0'], ['a', 'b', 'd', 'background0'], 3, ['a', 'background0'], ['a', 'background0']]), ({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'd', 'dirty': [], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0'], ['a', 'b', 'c', 'd', 'background0'], ['a', 'b', 'd', 'background0'], 3, ['a', 'b', 'background0'], ['a', 'b', 'background0']]), ({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'd', 'dirty': ['b'], 'pins': [], 'budget': 2}, [['a', 'b', 'c', 'background0'], ['a', 'c', 'd', 'background0'], ['a', 'b', 'c', 'd', 'background0'], 3, ['a', 'c', 'background0'], ['a', 'c', 'background0']]), ({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 4}, [['a', 'b', 'c', 'background0'], ['a', 'c', 'd', 'background0'], ['a', 'b', 'd', 'background0'], 1, ['a', 'background0'], ['a']]), ({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'a', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['b', 'c', 'd', 'background0'], ['a', 'c', 'd', 'background0'], ['a', 'b', 'd', 'background0'], 3, ['d', 'background0'], ['d', 'background0']]), ({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 0}, [['a', 'b', 'c', 'background0'], ['a', 'c', 'd', 'background0'], ['a', 'b', 'd', 'background0'], 5, ['a', 'background0'], ['a', 'background0']])], 3: [({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1'], ['a', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'd', 'background0', 'background1'], 4, ['a', 'background0', 'background1'], ['a', 'background0', 'background1']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'd', 'dirty': [], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1'], ['a', 'b', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'd', 'background0', 'background1'], 4, ['a', 'b', 'background0', 'background1'], ['a', 'b', 'background0', 'background1']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'd', 'dirty': ['b'], 'pins': [], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1'], ['a', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'c', 'd', 'background0', 'background1'], 4, ['a', 'c', 'background0', 'background1'], ['a', 'c', 'background0', 'background1']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 4}, [['a', 'b', 'c', 'background0', 'background1'], ['a', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'd', 'background0', 'background1'], 2, ['a', 'background0', 'background1'], ['a', 'background0']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'a', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['b', 'c', 'd', 'background0', 'background1'], ['a', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'd', 'background0', 'background1'], 4, ['d', 'background0', 'background1'], ['d', 'background0', 'background1']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 0}, [['a', 'b', 'c', 'background0', 'background1'], ['a', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'd', 'background0', 'background1'], 6, ['a', 'background0', 'background1'], ['a', 'background0', 'background1']])], 4: [({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2'], ['a', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 5, ['a', 'background0', 'background1', 'background2'], ['a', 'background0', 'background1', 'background2']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'd', 'dirty': [], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2'], ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 5, ['a', 'b', 'background0', 'background1', 'background2'], ['a', 'b', 'background0', 'background1', 'background2']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'd', 'dirty': ['b'], 'pins': [], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2'], ['a', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 5, ['a', 'c', 'background0', 'background1', 'background2'], ['a', 'c', 'background0', 'background1', 'background2']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 4}, [['a', 'b', 'c', 'background0', 'background1', 'background2'], ['a', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 3, ['a', 'background0', 'background1', 'background2'], ['a', 'background0', 'background1']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'a', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['b', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 5, ['d', 'background0', 'background1', 'background2'], ['d', 'background0', 'background1', 'background2']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 0}, [['a', 'b', 'c', 'background0', 'background1', 'background2'], ['a', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 7, ['a', 'background0', 'background1', 'background2'], ['a', 'background0', 'background1', 'background2']])], 5: [({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 6, ['a', 'background0', 'background1', 'background2', 'background3'], ['a', 'background0', 'background1', 'background2', 'background3']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'd', 'dirty': [], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 6, ['a', 'b', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'background0', 'background1', 'background2', 'background3']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'd', 'dirty': ['b'], 'pins': [], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 6, ['a', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'background0', 'background1', 'background2', 'background3']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 4}, [['a', 'b', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 4, ['a', 'background0', 'background1', 'background2', 'background3'], ['a', 'background0', 'background1', 'background2']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'a', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 6, ['d', 'background0', 'background1', 'background2', 'background3'], ['d', 'background0', 'background1', 'background2', 'background3']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 0}, [['a', 'b', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 8, ['a', 'background0', 'background1', 'background2', 'background3'], ['a', 'background0', 'background1', 'background2', 'background3']])]}\nfor i, (inputs, expected) in enumerate(fixtures[N]):\n    check(\"workspace regression \"+str(i), solve(inputs), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"29e0d0af369fb354c7e0ff7ce4c43a1bc1211b330440dc72f4594dfd35aaaac6","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    r0 = [t for t in x['lru'] if t!=x['active']]\n    r1 = [t for t in x['lru'] if t not in x['dirty']]\n    r2 = x['lru']\n    r3 = max(0,len(x['lru'])-x['budget'])\n    r4 = [t for t in x['lru'] if t!=x['active'] and t not in x['dirty'] and t not in x['pins']]\n    r5 = [t for t in x['lru'] if t!=x['active'] and t not in x['dirty'] and t not in x['pins']][:max(0,len(x['lru'])-x['budget'])]\n    return [r0,r1,r2,r3,r4,r5]\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = {1: [({'lru': ['a', 'b', 'c', 'd'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c'], ['a', 'c', 'd'], ['a', 'b', 'd'], 2, ['a'], ['a']]), ({'lru': ['a', 'b', 'c', 'd'], 'active': 'd', 'dirty': [], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c'], ['a', 'b', 'c', 'd'], ['a', 'b', 'd'], 2, ['a', 'b'], ['a', 'b']]), ({'lru': ['a', 'b', 'c', 'd'], 'active': 'd', 'dirty': ['b'], 'pins': [], 'budget': 2}, [['a', 'b', 'c'], ['a', 'c', 'd'], ['a', 'b', 'c', 'd'], 2, ['a', 'c'], ['a', 'c']]), ({'lru': ['a', 'b', 'c', 'd'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 4}, [['a', 'b', 'c'], ['a', 'c', 'd'], ['a', 'b', 'd'], 0, ['a'], []]), ({'lru': ['a', 'b', 'c', 'd'], 'active': 'a', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['b', 'c', 'd'], ['a', 'c', 'd'], ['a', 'b', 'd'], 2, ['d'], ['d']]), ({'lru': ['a', 'b', 'c', 'd'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 0}, [['a', 'b', 'c'], ['a', 'c', 'd'], ['a', 'b', 'd'], 4, ['a'], ['a']])], 2: [({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0'], ['a', 'c', 'd', 'background0'], ['a', 'b', 'd', 'background0'], 3, ['a', 'background0'], ['a', 'background0']]), ({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'd', 'dirty': [], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0'], ['a', 'b', 'c', 'd', 'background0'], ['a', 'b', 'd', 'background0'], 3, ['a', 'b', 'background0'], ['a', 'b', 'background0']]), ({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'd', 'dirty': ['b'], 'pins': [], 'budget': 2}, [['a', 'b', 'c', 'background0'], ['a', 'c', 'd', 'background0'], ['a', 'b', 'c', 'd', 'background0'], 3, ['a', 'c', 'background0'], ['a', 'c', 'background0']]), ({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 4}, [['a', 'b', 'c', 'background0'], ['a', 'c', 'd', 'background0'], ['a', 'b', 'd', 'background0'], 1, ['a', 'background0'], ['a']]), ({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'a', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['b', 'c', 'd', 'background0'], ['a', 'c', 'd', 'background0'], ['a', 'b', 'd', 'background0'], 3, ['d', 'background0'], ['d', 'background0']]), ({'lru': ['a', 'b', 'c', 'd', 'background0'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 0}, [['a', 'b', 'c', 'background0'], ['a', 'c', 'd', 'background0'], ['a', 'b', 'd', 'background0'], 5, ['a', 'background0'], ['a', 'background0']])], 3: [({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1'], ['a', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'd', 'background0', 'background1'], 4, ['a', 'background0', 'background1'], ['a', 'background0', 'background1']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'd', 'dirty': [], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1'], ['a', 'b', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'd', 'background0', 'background1'], 4, ['a', 'b', 'background0', 'background1'], ['a', 'b', 'background0', 'background1']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'd', 'dirty': ['b'], 'pins': [], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1'], ['a', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'c', 'd', 'background0', 'background1'], 4, ['a', 'c', 'background0', 'background1'], ['a', 'c', 'background0', 'background1']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 4}, [['a', 'b', 'c', 'background0', 'background1'], ['a', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'd', 'background0', 'background1'], 2, ['a', 'background0', 'background1'], ['a', 'background0']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'a', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['b', 'c', 'd', 'background0', 'background1'], ['a', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'd', 'background0', 'background1'], 4, ['d', 'background0', 'background1'], ['d', 'background0', 'background1']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 0}, [['a', 'b', 'c', 'background0', 'background1'], ['a', 'c', 'd', 'background0', 'background1'], ['a', 'b', 'd', 'background0', 'background1'], 6, ['a', 'background0', 'background1'], ['a', 'background0', 'background1']])], 4: [({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2'], ['a', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 5, ['a', 'background0', 'background1', 'background2'], ['a', 'background0', 'background1', 'background2']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'd', 'dirty': [], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2'], ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 5, ['a', 'b', 'background0', 'background1', 'background2'], ['a', 'b', 'background0', 'background1', 'background2']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'd', 'dirty': ['b'], 'pins': [], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2'], ['a', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 5, ['a', 'c', 'background0', 'background1', 'background2'], ['a', 'c', 'background0', 'background1', 'background2']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 4}, [['a', 'b', 'c', 'background0', 'background1', 'background2'], ['a', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 3, ['a', 'background0', 'background1', 'background2'], ['a', 'background0', 'background1']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'a', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['b', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 5, ['d', 'background0', 'background1', 'background2'], ['d', 'background0', 'background1', 'background2']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 0}, [['a', 'b', 'c', 'background0', 'background1', 'background2'], ['a', 'c', 'd', 'background0', 'background1', 'background2'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 7, ['a', 'background0', 'background1', 'background2'], ['a', 'background0', 'background1', 'background2']])], 5: [({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 6, ['a', 'background0', 'background1', 'background2', 'background3'], ['a', 'background0', 'background1', 'background2', 'background3']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'd', 'dirty': [], 'pins': ['c'], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 6, ['a', 'b', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'background0', 'background1', 'background2', 'background3']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'd', 'dirty': ['b'], 'pins': [], 'budget': 2}, [['a', 'b', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 6, ['a', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'background0', 'background1', 'background2', 'background3']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 4}, [['a', 'b', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 4, ['a', 'background0', 'background1', 'background2', 'background3'], ['a', 'background0', 'background1', 'background2']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'a', 'dirty': ['b'], 'pins': ['c'], 'budget': 2}, [['b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 6, ['d', 'background0', 'background1', 'background2', 'background3'], ['d', 'background0', 'background1', 'background2', 'background3']]), ({'lru': ['a', 'b', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], 'active': 'd', 'dirty': ['b'], 'pins': ['c'], 'budget': 0}, [['a', 'b', 'c', 'background0', 'background1', 'background2', 'background3'], ['a', 'c', 'd', 'background0', 'background1', 'background2', 'background3'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 8, ['a', 'background0', 'background1', 'background2', 'background3'], ['a', 'background0', 'background1', 'background2', 'background3']])]}\nfor i, (inputs, expected) in enumerate(fixtures[N]):\n    check(\"workspace regression \"+str(i), solve(inputs), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"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.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"s3-tab-interfaces-suspension-victims-pin-exclusion","generated_at":"2026-09-29T14:42:42.686320+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Offline tab/panel workspace behavior; no browser or desktop framework is emulated.","root_cause":"The pin exclusion decision uses x['lru'] instead of [t for t in x['lru'] if t not in x['pins']].","sha256":"196ea9a86a92d994af08f983223680a85b06c938dcb0c54f0581bc141a2769ec","title":"Suspension victims: pin exclusion · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":43.398,"exit_code":1,"observations":[{"actual":[["a","b","c"],["a","c","d"],[],2,["a"],["a"]],"check":"workspace regression 0","expected":[["a","b","c"],["a","c","d"],["a","b","d"],2,["a"],["a"]],"passed":false},{"actual":[["a","b","c"],["a","b","c","d"],[],2,["a","b"],["a","b"]],"check":"workspace regression 1","expected":[["a","b","c"],["a","b","c","d"],["a","b","d"],2,["a","b"],["a","b"]],"passed":false},{"actual":[["a","b","c"],["a","c","d"],[],2,["a","c"],["a","c"]],"check":"workspace regression 2","expected":[["a","b","c"],["a","c","d"],["a","b","c","d"],2,["a","c"],["a","c"]],"passed":false},{"actual":[["a","b","c"],["a","c","d"],[],0,["a"],[]],"check":"workspace regression 3","expected":[["a","b","c"],["a","c","d"],["a","b","d"],0,["a"],[]],"passed":false},{"actual":[["b","c","d"],["a","c","d"],[],2,["d"],["d"]],"check":"workspace regression 4","expected":[["b","c","d"],["a","c","d"],["a","b","d"],2,["d"],["d"]],"passed":false},{"actual":[["a","b","c"],["a","c","d"],[],4,["a"],["a"]],"check":"workspace regression 5","expected":[["a","b","c"],["a","c","d"],["a","b","d"],4,["a"],["a"]],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"workspace regression 0\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [], 2, [\"a\"], [\"a\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 2, [\"a\"], [\"a\"]], \"passed\": false}, {\"check\": \"workspace regression 1\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"b\", \"c\", \"d\"], [], 2, [\"a\", \"b\"], [\"a\", \"b\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"b\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 2, [\"a\", \"b\"], [\"a\", \"b\"]], \"passed\": false}, {\"check\": \"workspace regression 2\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [], 2, [\"a\", \"c\"], [\"a\", \"c\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"c\", \"d\"], 2, [\"a\", \"c\"], [\"a\", \"c\"]], \"passed\": false}, {\"check\": \"workspace regression 3\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [], 0, [\"a\"], []], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 0, [\"a\"], []], \"passed\": false}, {\"check\": \"workspace regression 4\", \"actual\": [[\"b\", \"c\", \"d\"], [\"a\", \"c\", \"d\"], [], 2, [\"d\"], [\"d\"]], \"expected\": [[\"b\", \"c\", \"d\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 2, [\"d\"], [\"d\"]], \"passed\": false}, {\"check\": \"workspace regression 5\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [], 4, [\"a\"], [\"a\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 4, [\"a\"], [\"a\"]], \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":46.133,"exit_code":1,"observations":[{"actual":[["a","b","c"],["a","c","d"],["a","b","c","d"],2,["a"],["a"]],"check":"workspace regression 0","expected":[["a","b","c"],["a","c","d"],["a","b","d"],2,["a"],["a"]],"passed":false},{"actual":[["a","b","c"],["a","b","c","d"],["a","b","c","d"],2,["a","b"],["a","b"]],"check":"workspace regression 1","expected":[["a","b","c"],["a","b","c","d"],["a","b","d"],2,["a","b"],["a","b"]],"passed":false},{"actual":[["a","b","c"],["a","c","d"],["a","b","c","d"],2,["a","c"],["a","c"]],"check":"workspace regression 2","expected":[["a","b","c"],["a","c","d"],["a","b","c","d"],2,["a","c"],["a","c"]],"passed":true},{"actual":[["a","b","c"],["a","c","d"],["a","b","c","d"],0,["a"],[]],"check":"workspace regression 3","expected":[["a","b","c"],["a","c","d"],["a","b","d"],0,["a"],[]],"passed":false},{"actual":[["b","c","d"],["a","c","d"],["a","b","c","d"],2,["d"],["d"]],"check":"workspace regression 4","expected":[["b","c","d"],["a","c","d"],["a","b","d"],2,["d"],["d"]],"passed":false},{"actual":[["a","b","c"],["a","c","d"],["a","b","c","d"],4,["a"],["a"]],"check":"workspace regression 5","expected":[["a","b","c"],["a","c","d"],["a","b","d"],4,["a"],["a"]],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"workspace regression 0\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"c\", \"d\"], 2, [\"a\"], [\"a\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 2, [\"a\"], [\"a\"]], \"passed\": false}, {\"check\": \"workspace regression 1\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"b\", \"c\", \"d\"], [\"a\", \"b\", \"c\", \"d\"], 2, [\"a\", \"b\"], [\"a\", \"b\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"b\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 2, [\"a\", \"b\"], [\"a\", \"b\"]], \"passed\": false}, {\"check\": \"workspace regression 2\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"c\", \"d\"], 2, [\"a\", \"c\"], [\"a\", \"c\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"c\", \"d\"], 2, [\"a\", \"c\"], [\"a\", \"c\"]], \"passed\": true}, {\"check\": \"workspace regression 3\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"c\", \"d\"], 0, [\"a\"], []], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 0, [\"a\"], []], \"passed\": false}, {\"check\": \"workspace regression 4\", \"actual\": [[\"b\", \"c\", \"d\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"c\", \"d\"], 2, [\"d\"], [\"d\"]], \"expected\": [[\"b\", \"c\", \"d\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 2, [\"d\"], [\"d\"]], \"passed\": false}, {\"check\": \"workspace regression 5\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"c\", \"d\"], 4, [\"a\"], [\"a\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 4, [\"a\"], [\"a\"]], \"passed\": false}], \"passed\": false}\n"}},"member_only":{"stages":["fixed"],"fields":["implementations.fixed","verification.fixed","harness","repair"],"note":"The verified repair, its recorded checks, the repair description, and the scoring harness are available to members."}}