{"abstract":"The tab workspace reports an incorrect eviction demand.","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 len(x['lru']) still violates a workspace boundary or normal case.","family":"s3-tab-interfaces-suspension-victims-eviction-demand","id":"FA-35536","implementations":{"attempt":{"sha256":"81d934f033d432e0e2e5337e525daf50aaa3b776d7563a309cd0d8ced50401b7","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 = [t for t in x['lru'] if t not in x['pins']]\n    r3 = len(x['lru'])\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":"ba4a06c197b1bfa91cdab8a39b83ffe4a1177f21ce41a32ad491d954df75065e","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 = [t for t in x['lru'] if t not in x['pins']]\n    r3 = 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-eviction-demand","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 eviction demand decision uses x['budget'] instead of max(0,len(x['lru'])-x['budget']).","sha256":"74e86e517f1721b4df71cb9df7dc4500fad836942fc44b81d6d1287d903341c0","title":"Suspension victims: eviction demand · 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":51.982,"exit_code":1,"observations":[{"actual":[["a","b","c"],["a","c","d"],["a","b","d"],4,["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","d"],4,["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"],4,["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"],["a","b","d"],4,["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","d"],4,["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","d"],4,["a"],["a"]],"check":"workspace regression 5","expected":[["a","b","c"],["a","c","d"],["a","b","d"],4,["a"],["a"]],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"workspace regression 0\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 4, [\"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\", \"d\"], 4, [\"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\"], 4, [\"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\"], [\"a\", \"b\", \"d\"], 4, [\"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\", \"d\"], 4, [\"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\", \"d\"], 4, [\"a\"], [\"a\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 4, [\"a\"], [\"a\"]], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":44.665,"exit_code":1,"observations":[{"actual":[["a","b","c"],["a","c","d"],["a","b","d"],2,["a"],["a"]],"check":"workspace regression 0","expected":[["a","b","c"],["a","c","d"],["a","b","d"],2,["a"],["a"]],"passed":true},{"actual":[["a","b","c"],["a","b","c","d"],["a","b","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":true},{"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","d"],4,["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","d"],2,["d"],["d"]],"check":"workspace regression 4","expected":[["b","c","d"],["a","c","d"],["a","b","d"],2,["d"],["d"]],"passed":true},{"actual":[["a","b","c"],["a","c","d"],["a","b","d"],0,["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\", \"d\"], 2, [\"a\"], [\"a\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 2, [\"a\"], [\"a\"]], \"passed\": true}, {\"check\": \"workspace regression 1\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"b\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 2, [\"a\", \"b\"], [\"a\", \"b\"]], \"expected\": [[\"a\", \"b\", \"c\"], [\"a\", \"b\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 2, [\"a\", \"b\"], [\"a\", \"b\"]], \"passed\": true}, {\"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\", \"d\"], 4, [\"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\", \"d\"], 2, [\"d\"], [\"d\"]], \"expected\": [[\"b\", \"c\", \"d\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 2, [\"d\"], [\"d\"]], \"passed\": true}, {\"check\": \"workspace regression 5\", \"actual\": [[\"a\", \"b\", \"c\"], [\"a\", \"c\", \"d\"], [\"a\", \"b\", \"d\"], 0, [\"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."}}