{"abstract":"The tab workspace reports an incorrect anchor offset in block.","category":"Tab interfaces","checks":6,"contract":"Dragging a selected set keeps its visual order, rebases drop boundary by every moved item before it, preserves anchor view and leaves unselected tabs ordered.","contract_signature":"x","evaluation_group":"s3-tabs-multi-tab-drag","failed_approach":"The partial repair x['tabs'].index(x['anchor']) still violates a workspace boundary or normal case.","family":"s3-tab-interfaces-multi-tab-drag-anchor-offset-in-block","id":"FA-36201","implementations":{"attempt":{"sha256":"72d6656eb6c44c05b315f9aacaa22e2f8409303ad1ab13444683c2d15acdf2a7","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['tabs'] if t in x['selected']]\n    r1 = [t for t in x['tabs'] if t not in x['selected']]\n    r2 = x['boundary']-sum(t in x['selected'] for t in x['tabs'][:x['boundary']])\n    r3 = x['anchor']\n    r4 = x['tabs'].index(x['anchor'])\n    r5 = list(range(x['boundary']-sum(t in x['selected'] for t in x['tabs'][:x['boundary']]),x['boundary']-sum(t in x['selected'] for t in x['tabs'][:x['boundary']])+len(x['selected'])))\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': ['a', 'b', 'c', 'd', 'e'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e'], 'selected': ['d', 'b'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e'], 'selected': ['b', 'd'], 'boundary': 2, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e'], 1, 'd', 1, [1, 2]]), ({'tabs': ['a', 'b', 'c', 'd', 'e'], 'selected': ['a', 'b'], 'boundary': 5, 'anchor': 'a'}, [['a', 'b'], ['c', 'd', 'e'], 3, 'a', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'b'}, [['b', 'd'], ['a', 'c', 'e'], 3, 'b', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e'], 'selected': ['b', 'd'], 'boundary': 0, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e'], 0, 'd', 1, [0, 1]])], 2: [({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['d', 'b'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['b', 'd'], 'boundary': 2, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0'], 1, 'd', 1, [1, 2]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['a', 'b'], 'boundary': 5, 'anchor': 'a'}, [['a', 'b'], ['c', 'd', 'e', 'background0'], 3, 'a', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'b'}, [['b', 'd'], ['a', 'c', 'e', 'background0'], 3, 'b', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['b', 'd'], 'boundary': 0, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0'], 0, 'd', 1, [0, 1]])], 3: [({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['d', 'b'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['b', 'd'], 'boundary': 2, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1'], 1, 'd', 1, [1, 2]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['a', 'b'], 'boundary': 5, 'anchor': 'a'}, [['a', 'b'], ['c', 'd', 'e', 'background0', 'background1'], 3, 'a', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'b'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1'], 3, 'b', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['b', 'd'], 'boundary': 0, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1'], 0, 'd', 1, [0, 1]])], 4: [({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['d', 'b'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['b', 'd'], 'boundary': 2, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2'], 1, 'd', 1, [1, 2]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['a', 'b'], 'boundary': 5, 'anchor': 'a'}, [['a', 'b'], ['c', 'd', 'e', 'background0', 'background1', 'background2'], 3, 'a', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'b'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2'], 3, 'b', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['b', 'd'], 'boundary': 0, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2'], 0, 'd', 1, [0, 1]])], 5: [({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2', 'background3'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['d', 'b'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2', 'background3'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['b', 'd'], 'boundary': 2, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2', 'background3'], 1, 'd', 1, [1, 2]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['a', 'b'], 'boundary': 5, 'anchor': 'a'}, [['a', 'b'], ['c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 3, 'a', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'b'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2', 'background3'], 3, 'b', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['b', 'd'], 'boundary': 0, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2', 'background3'], 0, 'd', 1, [0, 1]])]}\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":"dfb7ce90a1d7a68fe5df0f0310a3de7060eb060d0fa30f14c90d165527836c38","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['tabs'] if t in x['selected']]\n    r1 = [t for t in x['tabs'] if t not in x['selected']]\n    r2 = x['boundary']-sum(t in x['selected'] for t in x['tabs'][:x['boundary']])\n    r3 = x['anchor']\n    r4 = 0\n    r5 = list(range(x['boundary']-sum(t in x['selected'] for t in x['tabs'][:x['boundary']]),x['boundary']-sum(t in x['selected'] for t in x['tabs'][:x['boundary']])+len(x['selected'])))\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': ['a', 'b', 'c', 'd', 'e'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e'], 'selected': ['d', 'b'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e'], 'selected': ['b', 'd'], 'boundary': 2, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e'], 1, 'd', 1, [1, 2]]), ({'tabs': ['a', 'b', 'c', 'd', 'e'], 'selected': ['a', 'b'], 'boundary': 5, 'anchor': 'a'}, [['a', 'b'], ['c', 'd', 'e'], 3, 'a', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'b'}, [['b', 'd'], ['a', 'c', 'e'], 3, 'b', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e'], 'selected': ['b', 'd'], 'boundary': 0, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e'], 0, 'd', 1, [0, 1]])], 2: [({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['d', 'b'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['b', 'd'], 'boundary': 2, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0'], 1, 'd', 1, [1, 2]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['a', 'b'], 'boundary': 5, 'anchor': 'a'}, [['a', 'b'], ['c', 'd', 'e', 'background0'], 3, 'a', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'b'}, [['b', 'd'], ['a', 'c', 'e', 'background0'], 3, 'b', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0'], 'selected': ['b', 'd'], 'boundary': 0, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0'], 0, 'd', 1, [0, 1]])], 3: [({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['d', 'b'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['b', 'd'], 'boundary': 2, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1'], 1, 'd', 1, [1, 2]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['a', 'b'], 'boundary': 5, 'anchor': 'a'}, [['a', 'b'], ['c', 'd', 'e', 'background0', 'background1'], 3, 'a', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'b'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1'], 3, 'b', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1'], 'selected': ['b', 'd'], 'boundary': 0, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1'], 0, 'd', 1, [0, 1]])], 4: [({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['d', 'b'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['b', 'd'], 'boundary': 2, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2'], 1, 'd', 1, [1, 2]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['a', 'b'], 'boundary': 5, 'anchor': 'a'}, [['a', 'b'], ['c', 'd', 'e', 'background0', 'background1', 'background2'], 3, 'a', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'b'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2'], 3, 'b', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2'], 'selected': ['b', 'd'], 'boundary': 0, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2'], 0, 'd', 1, [0, 1]])], 5: [({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2', 'background3'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['d', 'b'], 'boundary': 5, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2', 'background3'], 3, 'd', 1, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['b', 'd'], 'boundary': 2, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2', 'background3'], 1, 'd', 1, [1, 2]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['a', 'b'], 'boundary': 5, 'anchor': 'a'}, [['a', 'b'], ['c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 3, 'a', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['b', 'd'], 'boundary': 5, 'anchor': 'b'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2', 'background3'], 3, 'b', 0, [3, 4]]), ({'tabs': ['a', 'b', 'c', 'd', 'e', 'background0', 'background1', 'background2', 'background3'], 'selected': ['b', 'd'], 'boundary': 0, 'anchor': 'd'}, [['b', 'd'], ['a', 'c', 'e', 'background0', 'background1', 'background2', 'background3'], 0, 'd', 1, [0, 1]])]}\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-multi-tab-drag-anchor-offset-in-block","generated_at":"2026-09-29T14:42:49.025599+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 anchor offset in block decision uses 0 instead of [t for t in x['tabs'] if t in x['selected']].index(x['anchor']).","sha256":"c567f03aeb4da8dcb1ff45b6cdb9d993f3a2a8fea6badc693e29e9f2b3626e9f","title":"Multi tab drag: anchor offset in block · 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":49.263,"exit_code":1,"observations":[{"actual":[["b","d"],["a","c","e"],3,"d",3,[3,4]],"check":"workspace regression 0","expected":[["b","d"],["a","c","e"],3,"d",1,[3,4]],"passed":false},{"actual":[["b","d"],["a","c","e"],3,"d",3,[3,4]],"check":"workspace regression 1","expected":[["b","d"],["a","c","e"],3,"d",1,[3,4]],"passed":false},{"actual":[["b","d"],["a","c","e"],1,"d",3,[1,2]],"check":"workspace regression 2","expected":[["b","d"],["a","c","e"],1,"d",1,[1,2]],"passed":false},{"actual":[["a","b"],["c","d","e"],3,"a",0,[3,4]],"check":"workspace regression 3","expected":[["a","b"],["c","d","e"],3,"a",0,[3,4]],"passed":true},{"actual":[["b","d"],["a","c","e"],3,"b",1,[3,4]],"check":"workspace regression 4","expected":[["b","d"],["a","c","e"],3,"b",0,[3,4]],"passed":false},{"actual":[["b","d"],["a","c","e"],0,"d",3,[0,1]],"check":"workspace regression 5","expected":[["b","d"],["a","c","e"],0,"d",1,[0,1]],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"workspace regression 0\", \"actual\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 3, \"d\", 3, [3, 4]], \"expected\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 3, \"d\", 1, [3, 4]], \"passed\": false}, {\"check\": \"workspace regression 1\", \"actual\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 3, \"d\", 3, [3, 4]], \"expected\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 3, \"d\", 1, [3, 4]], \"passed\": false}, {\"check\": \"workspace regression 2\", \"actual\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 1, \"d\", 3, [1, 2]], \"expected\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 1, \"d\", 1, [1, 2]], \"passed\": false}, {\"check\": \"workspace regression 3\", \"actual\": [[\"a\", \"b\"], [\"c\", \"d\", \"e\"], 3, \"a\", 0, [3, 4]], \"expected\": [[\"a\", \"b\"], [\"c\", \"d\", \"e\"], 3, \"a\", 0, [3, 4]], \"passed\": true}, {\"check\": \"workspace regression 4\", \"actual\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 3, \"b\", 1, [3, 4]], \"expected\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 3, \"b\", 0, [3, 4]], \"passed\": false}, {\"check\": \"workspace regression 5\", \"actual\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 0, \"d\", 3, [0, 1]], \"expected\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 0, \"d\", 1, [0, 1]], \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":47.263,"exit_code":1,"observations":[{"actual":[["b","d"],["a","c","e"],3,"d",0,[3,4]],"check":"workspace regression 0","expected":[["b","d"],["a","c","e"],3,"d",1,[3,4]],"passed":false},{"actual":[["b","d"],["a","c","e"],3,"d",0,[3,4]],"check":"workspace regression 1","expected":[["b","d"],["a","c","e"],3,"d",1,[3,4]],"passed":false},{"actual":[["b","d"],["a","c","e"],1,"d",0,[1,2]],"check":"workspace regression 2","expected":[["b","d"],["a","c","e"],1,"d",1,[1,2]],"passed":false},{"actual":[["a","b"],["c","d","e"],3,"a",0,[3,4]],"check":"workspace regression 3","expected":[["a","b"],["c","d","e"],3,"a",0,[3,4]],"passed":true},{"actual":[["b","d"],["a","c","e"],3,"b",0,[3,4]],"check":"workspace regression 4","expected":[["b","d"],["a","c","e"],3,"b",0,[3,4]],"passed":true},{"actual":[["b","d"],["a","c","e"],0,"d",0,[0,1]],"check":"workspace regression 5","expected":[["b","d"],["a","c","e"],0,"d",1,[0,1]],"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"workspace regression 0\", \"actual\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 3, \"d\", 0, [3, 4]], \"expected\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 3, \"d\", 1, [3, 4]], \"passed\": false}, {\"check\": \"workspace regression 1\", \"actual\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 3, \"d\", 0, [3, 4]], \"expected\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 3, \"d\", 1, [3, 4]], \"passed\": false}, {\"check\": \"workspace regression 2\", \"actual\": [[\"b\", \"d\"], [\"a\", \"c\", \"e\"], 1, \"d\", 0, [1, 2]], \"expected\": [[\"b\", 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