{"abstract":"The tab workspace reports an incorrect insertion slot.","category":"Tab interfaces","checks":6,"contract":"Insert an unpinned document after all pins, retaining pinned prefix order and active document identity.","contract_signature":"x","evaluation_group":"s3-tabs-pinned-partition","failed_approach":"The partial repair min(x['requested'],len(x['tabs'])) still violates a workspace boundary or normal case.","family":"s3-tab-interfaces-pinned-partition-insertion-slot","id":"FA-35346","implementations":{"attempt":{"sha256":"681f1b8a3758318e061013d5ad5a39cf240c555fc8e9442dacadb694377f689e","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    r0 = len(x['pins'])\n    r1 = min(x['requested'],len(x['tabs']))\n    r2 = [t for t in x['tabs'] if t in x['pins']]\n    r3 = [t for t in x['tabs'] if t not in x['pins']]\n    r4 = x['active']\n    r5 = False\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: [({'tabs': ['p', 'q', 'a', 'b'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 3, 'active': 'a'}, [2, 3, ['p', 'q'], ['a', 'b'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'q'}, [2, 2, ['p', 'q'], ['a', 'b'], 'q', False]), ({'tabs': ['p', 'q', 'a', 'b'], 'pins': ['p'], 'new': 'c', 'requested': 0, 'active': 'a'}, [1, 1, ['p'], ['q', 'a', 'b'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 4, 'active': 'a'}, [2, 4, ['p', 'q'], ['a', 'b'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'd'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 1, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'd'], 'a', False])], 2: [({'tabs': ['p', 'q', 'a', 'b', 'background0'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 3, 'active': 'a'}, [2, 3, ['p', 'q'], ['a', 'b', 'background0'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'q'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0'], 'q', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0'], 'pins': ['p'], 'new': 'c', 'requested': 0, 'active': 'a'}, [1, 1, ['p'], ['q', 'a', 'b', 'background0'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 4, 'active': 'a'}, [2, 4, ['p', 'q'], ['a', 'b', 'background0'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'd', 'background0'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 1, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'd', 'background0'], 'a', False])], 3: [({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 3, 'active': 'a'}, [2, 3, ['p', 'q'], ['a', 'b', 'background0', 'background1'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'q'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1'], 'q', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1'], 'pins': ['p'], 'new': 'c', 'requested': 0, 'active': 'a'}, [1, 1, ['p'], ['q', 'a', 'b', 'background0', 'background1'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 4, 'active': 'a'}, [2, 4, ['p', 'q'], ['a', 'b', 'background0', 'background1'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'd', 'background0', 'background1'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 1, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'd', 'background0', 'background1'], 'a', False])], 4: [({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 3, 'active': 'a'}, [2, 3, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'q'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2'], 'q', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2'], 'pins': ['p'], 'new': 'c', 'requested': 0, 'active': 'a'}, [1, 1, ['p'], ['q', 'a', 'b', 'background0', 'background1', 'background2'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 4, 'active': 'a'}, [2, 4, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'd', 'background0', 'background1', 'background2'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 1, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 'a', False])], 5: [({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2', 'background3'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 3, 'active': 'a'}, [2, 3, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2', 'background3'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'q'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2', 'background3'], 'q', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p'], 'new': 'c', 'requested': 0, 'active': 'a'}, [1, 1, ['p'], ['q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 4, 'active': 'a'}, [2, 4, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2', 'background3'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 1, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 'a', False])]}\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":"675c430e8c3ef6d128b02e75a2da31b7747d0cdb35494b9ed9919aaf019dc29b","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(x):\n    r0 = len(x['pins'])\n    r1 = x['requested']\n    r2 = [t for t in x['tabs'] if t in x['pins']]\n    r3 = [t for t in x['tabs'] if t not in x['pins']]\n    r4 = x['active']\n    r5 = False\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: [({'tabs': ['p', 'q', 'a', 'b'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 3, 'active': 'a'}, [2, 3, ['p', 'q'], ['a', 'b'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'q'}, [2, 2, ['p', 'q'], ['a', 'b'], 'q', False]), ({'tabs': ['p', 'q', 'a', 'b'], 'pins': ['p'], 'new': 'c', 'requested': 0, 'active': 'a'}, [1, 1, ['p'], ['q', 'a', 'b'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 4, 'active': 'a'}, [2, 4, ['p', 'q'], ['a', 'b'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'd'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 1, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'd'], 'a', False])], 2: [({'tabs': ['p', 'q', 'a', 'b', 'background0'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 3, 'active': 'a'}, [2, 3, ['p', 'q'], ['a', 'b', 'background0'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'q'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0'], 'q', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0'], 'pins': ['p'], 'new': 'c', 'requested': 0, 'active': 'a'}, [1, 1, ['p'], ['q', 'a', 'b', 'background0'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 4, 'active': 'a'}, [2, 4, ['p', 'q'], ['a', 'b', 'background0'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'd', 'background0'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 1, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'd', 'background0'], 'a', False])], 3: [({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 3, 'active': 'a'}, [2, 3, ['p', 'q'], ['a', 'b', 'background0', 'background1'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'q'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1'], 'q', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1'], 'pins': ['p'], 'new': 'c', 'requested': 0, 'active': 'a'}, [1, 1, ['p'], ['q', 'a', 'b', 'background0', 'background1'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 4, 'active': 'a'}, [2, 4, ['p', 'q'], ['a', 'b', 'background0', 'background1'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'd', 'background0', 'background1'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 1, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'd', 'background0', 'background1'], 'a', False])], 4: [({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 3, 'active': 'a'}, [2, 3, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'q'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2'], 'q', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2'], 'pins': ['p'], 'new': 'c', 'requested': 0, 'active': 'a'}, [1, 1, ['p'], ['q', 'a', 'b', 'background0', 'background1', 'background2'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 4, 'active': 'a'}, [2, 4, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'd', 'background0', 'background1', 'background2'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 1, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'd', 'background0', 'background1', 'background2'], 'a', False])], 5: [({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2', 'background3'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 3, 'active': 'a'}, [2, 3, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2', 'background3'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 0, 'active': 'q'}, [2, 2, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2', 'background3'], 'q', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p'], 'new': 'c', 'requested': 0, 'active': 'a'}, [1, 1, ['p'], ['q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 4, 'active': 'a'}, [2, 4, ['p', 'q'], ['a', 'b', 'background0', 'background1', 'background2', 'background3'], 'a', False]), ({'tabs': ['p', 'q', 'a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 'pins': ['p', 'q'], 'new': 'c', 'requested': 1, 'active': 'a'}, [2, 2, ['p', 'q'], ['a', 'b', 'd', 'background0', 'background1', 'background2', 'background3'], 'a', False])]}\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-pinned-partition-insertion-slot","generated_at":"2026-09-29T14:42:40.901400+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 insertion slot decision uses x['requested'] instead of max(len(x['pins']),min(x['requested'],len(x['tabs']))).","sha256":"64236c153c94d4a8419c32e030a818a7b35ddcbe0dd95f4151ec1618826afde8","title":"Pinned partition: insertion slot · 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":47.123,"exit_code":1,"observations":[{"actual":[2,0,["p","q"],["a","b"],"a",false],"check":"workspace regression 0","expected":[2,2,["p","q"],["a","b"],"a",false],"passed":false},{"actual":[2,3,["p","q"],["a","b"],"a",false],"check":"workspace regression 1","expected":[2,3,["p","q"],["a","b"],"a",false],"passed":true},{"actual":[2,0,["p","q"],["a","b"],"q",false],"check":"workspace regression 2","expected":[2,2,["p","q"],["a","b"],"q",false],"passed":false},{"actual":[1,0,["p"],["q","a","b"],"a",false],"check":"workspace regression 3","expected":[1,1,["p"],["q","a","b"],"a",false],"passed":false},{"actual":[2,4,["p","q"],["a","b"],"a",false],"check":"workspace regression 4","expected":[2,4,["p","q"],["a","b"],"a",false],"passed":true},{"actual":[2,1,["p","q"],["a","b","d"],"a",false],"check":"workspace regression 5","expected":[2,2,["p","q"],["a","b","d"],"a",false],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"workspace regression 0\", \"actual\": [2, 0, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"expected\": [2, 2, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"passed\": false}, {\"check\": \"workspace regression 1\", \"actual\": [2, 3, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"expected\": [2, 3, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"passed\": true}, {\"check\": \"workspace regression 2\", \"actual\": [2, 0, [\"p\", \"q\"], [\"a\", \"b\"], \"q\", false], \"expected\": [2, 2, [\"p\", \"q\"], [\"a\", \"b\"], \"q\", false], \"passed\": false}, {\"check\": \"workspace regression 3\", \"actual\": [1, 0, [\"p\"], [\"q\", \"a\", \"b\"], \"a\", false], \"expected\": [1, 1, [\"p\"], [\"q\", \"a\", \"b\"], \"a\", false], \"passed\": false}, {\"check\": \"workspace regression 4\", \"actual\": [2, 4, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"expected\": [2, 4, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"passed\": true}, {\"check\": \"workspace regression 5\", \"actual\": [2, 1, [\"p\", \"q\"], [\"a\", \"b\", \"d\"], \"a\", false], \"expected\": [2, 2, [\"p\", \"q\"], [\"a\", \"b\", \"d\"], \"a\", false], \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":44.416,"exit_code":1,"observations":[{"actual":[2,0,["p","q"],["a","b"],"a",false],"check":"workspace regression 0","expected":[2,2,["p","q"],["a","b"],"a",false],"passed":false},{"actual":[2,3,["p","q"],["a","b"],"a",false],"check":"workspace regression 1","expected":[2,3,["p","q"],["a","b"],"a",false],"passed":true},{"actual":[2,0,["p","q"],["a","b"],"q",false],"check":"workspace regression 2","expected":[2,2,["p","q"],["a","b"],"q",false],"passed":false},{"actual":[1,0,["p"],["q","a","b"],"a",false],"check":"workspace regression 3","expected":[1,1,["p"],["q","a","b"],"a",false],"passed":false},{"actual":[2,4,["p","q"],["a","b"],"a",false],"check":"workspace regression 4","expected":[2,4,["p","q"],["a","b"],"a",false],"passed":true},{"actual":[2,1,["p","q"],["a","b","d"],"a",false],"check":"workspace regression 5","expected":[2,2,["p","q"],["a","b","d"],"a",false],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"workspace regression 0\", \"actual\": [2, 0, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"expected\": [2, 2, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"passed\": false}, {\"check\": \"workspace regression 1\", \"actual\": [2, 3, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"expected\": [2, 3, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"passed\": true}, {\"check\": \"workspace regression 2\", \"actual\": [2, 0, [\"p\", \"q\"], [\"a\", \"b\"], \"q\", false], \"expected\": [2, 2, [\"p\", \"q\"], [\"a\", \"b\"], \"q\", false], \"passed\": false}, {\"check\": \"workspace regression 3\", \"actual\": [1, 0, [\"p\"], [\"q\", \"a\", \"b\"], \"a\", false], \"expected\": [1, 1, [\"p\"], [\"q\", \"a\", \"b\"], \"a\", false], \"passed\": false}, {\"check\": \"workspace regression 4\", \"actual\": [2, 4, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"expected\": [2, 4, [\"p\", \"q\"], [\"a\", \"b\"], \"a\", false], \"passed\": true}, {\"check\": \"workspace regression 5\", \"actual\": [2, 1, [\"p\", \"q\"], [\"a\", \"b\", \"d\"], \"a\", false], \"expected\": [2, 2, [\"p\", \"q\"], [\"a\", \"b\", \"d\"], \"a\", false], \"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."}}