{"abstract":"The bounded interval pop end certificate reports an incorrect remaining.","category":"Heap invariants","checks":7,"contract":"A bounded interval-tail removal receives intervals, and side low or high. Remove the requested endpoint from the final interval (singleton removed wholly), returning extracted tail replacement, remaining interval list, new logical size, singleton status, surviving endpoint, and array-node count. This isolates tail extraction before global bubbling.","contract_signature":"d","evaluation_group":"s3-heap-model-interval-pop-end","failed_approach":"The local patch uses a[:-1]+[tail] if a else [] and still violates the stated relation.","family":"s3-heap-interval-pop-end-remaining","id":"FA-40776","implementations":{"attempt":{"sha256":"f143f3772452642b0c127fc66860bb2e2d219cc1013ae15958393f90f82e2053","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(d):\n    a=d['intervals']; side=d['side']; tail=a[-1] if a else []; k=0 if side=='low' else -1; v=tail[k] if tail else None; rest=tail[1:] if side=='low' else tail[:-1]; out=a[:-1]+([rest] if rest else []) if a else []\n    return {'replacement': v,\n    'remaining': a[:-1]+[tail] if a else [],\n    'size': sum(map(len,out)),\n    'singleton': bool(out) and len(out[-1])==1,\n    'survivor': rest[0] if rest else None,\n    'nodes': len(out)}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[({'intervals': [], 'side': 'low'}, {'replacement': None, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[4]], 'side': 'high'}, {'replacement': 4, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[1, 9]], 'side': 'low'}, {'replacement': 1, 'remaining': [[9]], 'size': 1, 'singleton': True, 'survivor': 9, 'nodes': 1}), ({'intervals': [[1, 9], [3, 7]], 'side': 'high'}, {'replacement': 7, 'remaining': [[1, 9], [3]], 'size': 3, 'singleton': True, 'survivor': 3, 'nodes': 2}), ({'intervals': [[1, 9], [3]], 'side': 'low'}, {'replacement': 3, 'remaining': [[1, 9]], 'size': 2, 'singleton': False, 'survivor': None, 'nodes': 1}), ({'intervals': [[1, 9], [2, 8], [4, 6]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [6]], 'size': 5, 'singleton': True, 'survivor': 6, 'nodes': 3}), ({'intervals': [[1, 9], [2, 8], [4, 7]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [7]], 'size': 5, 'singleton': True, 'survivor': 7, 'nodes': 3})], [({'intervals': [], 'side': 'low'}, {'replacement': None, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[4]], 'side': 'high'}, {'replacement': 4, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[1, 9]], 'side': 'low'}, {'replacement': 1, 'remaining': [[9]], 'size': 1, 'singleton': True, 'survivor': 9, 'nodes': 1}), ({'intervals': [[1, 9], [3, 7]], 'side': 'high'}, {'replacement': 7, 'remaining': [[1, 9], [3]], 'size': 3, 'singleton': True, 'survivor': 3, 'nodes': 2}), ({'intervals': [[1, 9], [3]], 'side': 'low'}, {'replacement': 3, 'remaining': [[1, 9]], 'size': 2, 'singleton': False, 'survivor': None, 'nodes': 1}), ({'intervals': [[1, 9], [2, 8], [4, 6]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [6]], 'size': 5, 'singleton': True, 'survivor': 6, 'nodes': 3}), ({'intervals': [[1, 9], [2, 8], [4, 8]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [8]], 'size': 5, 'singleton': True, 'survivor': 8, 'nodes': 3})], [({'intervals': [], 'side': 'low'}, {'replacement': None, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[4]], 'side': 'high'}, {'replacement': 4, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[1, 9]], 'side': 'low'}, {'replacement': 1, 'remaining': [[9]], 'size': 1, 'singleton': True, 'survivor': 9, 'nodes': 1}), ({'intervals': [[1, 9], [3, 7]], 'side': 'high'}, {'replacement': 7, 'remaining': [[1, 9], [3]], 'size': 3, 'singleton': True, 'survivor': 3, 'nodes': 2}), ({'intervals': [[1, 9], [3]], 'side': 'low'}, {'replacement': 3, 'remaining': [[1, 9]], 'size': 2, 'singleton': False, 'survivor': None, 'nodes': 1}), ({'intervals': [[1, 9], [2, 8], [4, 6]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [6]], 'size': 5, 'singleton': True, 'survivor': 6, 'nodes': 3}), ({'intervals': [[1, 9], [2, 8], [4, 9]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [9]], 'size': 5, 'singleton': True, 'survivor': 9, 'nodes': 3})], [({'intervals': [], 'side': 'low'}, {'replacement': None, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[4]], 'side': 'high'}, {'replacement': 4, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[1, 9]], 'side': 'low'}, {'replacement': 1, 'remaining': [[9]], 'size': 1, 'singleton': True, 'survivor': 9, 'nodes': 1}), ({'intervals': [[1, 9], [3, 7]], 'side': 'high'}, {'replacement': 7, 'remaining': [[1, 9], [3]], 'size': 3, 'singleton': True, 'survivor': 3, 'nodes': 2}), ({'intervals': [[1, 9], [3]], 'side': 'low'}, {'replacement': 3, 'remaining': [[1, 9]], 'size': 2, 'singleton': False, 'survivor': None, 'nodes': 1}), ({'intervals': [[1, 9], [2, 8], [4, 6]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [6]], 'size': 5, 'singleton': True, 'survivor': 6, 'nodes': 3}), ({'intervals': [[1, 9], [2, 8], [4, 10]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [10]], 'size': 5, 'singleton': True, 'survivor': 10, 'nodes': 3})], [({'intervals': [], 'side': 'low'}, {'replacement': None, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[4]], 'side': 'high'}, {'replacement': 4, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[1, 9]], 'side': 'low'}, {'replacement': 1, 'remaining': [[9]], 'size': 1, 'singleton': True, 'survivor': 9, 'nodes': 1}), ({'intervals': [[1, 9], [3, 7]], 'side': 'high'}, {'replacement': 7, 'remaining': [[1, 9], [3]], 'size': 3, 'singleton': True, 'survivor': 3, 'nodes': 2}), ({'intervals': [[1, 9], [3]], 'side': 'low'}, {'replacement': 3, 'remaining': [[1, 9]], 'size': 2, 'singleton': False, 'survivor': None, 'nodes': 1}), ({'intervals': [[1, 9], [2, 8], [4, 6]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [6]], 'size': 5, 'singleton': True, 'survivor': 6, 'nodes': 3}), ({'intervals': [[1, 9], [2, 8], [4, 11]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [11]], 'size': 5, 'singleton': True, 'survivor': 11, 'nodes': 3})]][N-1]\ncheck('regression certificate 1', solve(cases[0][0]), cases[0][1])\ncheck('regression certificate 2', solve(cases[1][0]), cases[1][1])\ncheck('regression certificate 3', solve(cases[2][0]), cases[2][1])\ncheck('regression certificate 4', solve(cases[3][0]), cases[3][1])\ncheck('regression certificate 5', solve(cases[4][0]), cases[4][1])\ncheck('regression certificate 6', solve(cases[5][0]), cases[5][1])\ncheck('variant-dependent certificate', solve(cases[6][0]), cases[6][1])\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":"044cd096759d5a6db885ca70b702253029dd017e502679485464b2fe2361f3eb","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(d):\n    a=d['intervals']; side=d['side']; tail=a[-1] if a else []; k=0 if side=='low' else -1; v=tail[k] if tail else None; rest=tail[1:] if side=='low' else tail[:-1]; out=a[:-1]+([rest] if rest else []) if a else []\n    return {'replacement': v,\n    'remaining': a[:-1],\n    'size': sum(map(len,out)),\n    'singleton': bool(out) and len(out[-1])==1,\n    'survivor': rest[0] if rest else None,\n    'nodes': len(out)}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\ncases = [[({'intervals': [], 'side': 'low'}, {'replacement': None, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[4]], 'side': 'high'}, {'replacement': 4, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[1, 9]], 'side': 'low'}, {'replacement': 1, 'remaining': [[9]], 'size': 1, 'singleton': True, 'survivor': 9, 'nodes': 1}), ({'intervals': [[1, 9], [3, 7]], 'side': 'high'}, {'replacement': 7, 'remaining': [[1, 9], [3]], 'size': 3, 'singleton': True, 'survivor': 3, 'nodes': 2}), ({'intervals': [[1, 9], [3]], 'side': 'low'}, {'replacement': 3, 'remaining': [[1, 9]], 'size': 2, 'singleton': False, 'survivor': None, 'nodes': 1}), ({'intervals': [[1, 9], [2, 8], [4, 6]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [6]], 'size': 5, 'singleton': True, 'survivor': 6, 'nodes': 3}), ({'intervals': [[1, 9], [2, 8], [4, 7]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [7]], 'size': 5, 'singleton': True, 'survivor': 7, 'nodes': 3})], [({'intervals': [], 'side': 'low'}, {'replacement': None, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[4]], 'side': 'high'}, {'replacement': 4, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[1, 9]], 'side': 'low'}, {'replacement': 1, 'remaining': [[9]], 'size': 1, 'singleton': True, 'survivor': 9, 'nodes': 1}), ({'intervals': [[1, 9], [3, 7]], 'side': 'high'}, {'replacement': 7, 'remaining': [[1, 9], [3]], 'size': 3, 'singleton': True, 'survivor': 3, 'nodes': 2}), ({'intervals': [[1, 9], [3]], 'side': 'low'}, {'replacement': 3, 'remaining': [[1, 9]], 'size': 2, 'singleton': False, 'survivor': None, 'nodes': 1}), ({'intervals': [[1, 9], [2, 8], [4, 6]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [6]], 'size': 5, 'singleton': True, 'survivor': 6, 'nodes': 3}), ({'intervals': [[1, 9], [2, 8], [4, 8]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [8]], 'size': 5, 'singleton': True, 'survivor': 8, 'nodes': 3})], [({'intervals': [], 'side': 'low'}, {'replacement': None, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[4]], 'side': 'high'}, {'replacement': 4, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[1, 9]], 'side': 'low'}, {'replacement': 1, 'remaining': [[9]], 'size': 1, 'singleton': True, 'survivor': 9, 'nodes': 1}), ({'intervals': [[1, 9], [3, 7]], 'side': 'high'}, {'replacement': 7, 'remaining': [[1, 9], [3]], 'size': 3, 'singleton': True, 'survivor': 3, 'nodes': 2}), ({'intervals': [[1, 9], [3]], 'side': 'low'}, {'replacement': 3, 'remaining': [[1, 9]], 'size': 2, 'singleton': False, 'survivor': None, 'nodes': 1}), ({'intervals': [[1, 9], [2, 8], [4, 6]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [6]], 'size': 5, 'singleton': True, 'survivor': 6, 'nodes': 3}), ({'intervals': [[1, 9], [2, 8], [4, 9]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [9]], 'size': 5, 'singleton': True, 'survivor': 9, 'nodes': 3})], [({'intervals': [], 'side': 'low'}, {'replacement': None, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[4]], 'side': 'high'}, {'replacement': 4, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[1, 9]], 'side': 'low'}, {'replacement': 1, 'remaining': [[9]], 'size': 1, 'singleton': True, 'survivor': 9, 'nodes': 1}), ({'intervals': [[1, 9], [3, 7]], 'side': 'high'}, {'replacement': 7, 'remaining': [[1, 9], [3]], 'size': 3, 'singleton': True, 'survivor': 3, 'nodes': 2}), ({'intervals': [[1, 9], [3]], 'side': 'low'}, {'replacement': 3, 'remaining': [[1, 9]], 'size': 2, 'singleton': False, 'survivor': None, 'nodes': 1}), ({'intervals': [[1, 9], [2, 8], [4, 6]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [6]], 'size': 5, 'singleton': True, 'survivor': 6, 'nodes': 3}), ({'intervals': [[1, 9], [2, 8], [4, 10]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [10]], 'size': 5, 'singleton': True, 'survivor': 10, 'nodes': 3})], [({'intervals': [], 'side': 'low'}, {'replacement': None, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[4]], 'side': 'high'}, {'replacement': 4, 'remaining': [], 'size': 0, 'singleton': False, 'survivor': None, 'nodes': 0}), ({'intervals': [[1, 9]], 'side': 'low'}, {'replacement': 1, 'remaining': [[9]], 'size': 1, 'singleton': True, 'survivor': 9, 'nodes': 1}), ({'intervals': [[1, 9], [3, 7]], 'side': 'high'}, {'replacement': 7, 'remaining': [[1, 9], [3]], 'size': 3, 'singleton': True, 'survivor': 3, 'nodes': 2}), ({'intervals': [[1, 9], [3]], 'side': 'low'}, {'replacement': 3, 'remaining': [[1, 9]], 'size': 2, 'singleton': False, 'survivor': None, 'nodes': 1}), ({'intervals': [[1, 9], [2, 8], [4, 6]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [6]], 'size': 5, 'singleton': True, 'survivor': 6, 'nodes': 3}), ({'intervals': [[1, 9], [2, 8], [4, 11]], 'side': 'low'}, {'replacement': 4, 'remaining': [[1, 9], [2, 8], [11]], 'size': 5, 'singleton': True, 'survivor': 11, 'nodes': 3})]][N-1]\ncheck('regression certificate 1', solve(cases[0][0]), cases[0][1])\ncheck('regression certificate 2', solve(cases[1][0]), cases[1][1])\ncheck('regression certificate 3', solve(cases[2][0]), cases[2][1])\ncheck('regression certificate 4', solve(cases[3][0]), cases[3][1])\ncheck('regression certificate 5', solve(cases[4][0]), cases[4][1])\ncheck('regression certificate 6', solve(cases[5][0]), cases[5][1])\ncheck('variant-dependent certificate', solve(cases[6][0]), cases[6][1])\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":"A stipulated offline diagnostic model; it does not implement a production allocator, concurrency protocol, or complete heap library. 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-heap-interval-pop-end-remaining","generated_at":"2026-09-29T14:43:34.517850+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"This isolates an internal heap representation or priority-structure invariant using deterministic finite records.","root_cause":"Interval delete retains the unremoved endpoint instead of deleting or retaining the whole pair.","sha256":"7cdbeecf8c6e3e9b64947a4c6d85bd772d2a815c17181d288bcc4c14a80fe270","title":"Interval delete retains the unremoved endpoint instead of deleting or retaining the whole pair · case 01","variant":1,"variant_policy":"Six explicit regression certificates are retained; a seventh changes structural size, position, priority, or bounds with N.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":41.072,"exit_code":1,"observations":[{"actual":{"nodes":0,"remaining":[],"replacement":null,"singleton":false,"size":0,"survivor":null},"check":"regression certificate 1","expected":{"nodes":0,"remaining":[],"replacement":null,"singleton":false,"size":0,"survivor":null},"passed":true},{"actual":{"nodes":0,"remaining":[[4]],"replacement":4,"singleton":false,"size":0,"survivor":null},"check":"regression certificate 2","expected":{"nodes":0,"remaining":[],"replacement":4,"singleton":false,"size":0,"survivor":null},"passed":false},{"actual":{"nodes":1,"remaining":[[1,9]],"replacement":1,"singleton":true,"size":1,"survivor":9},"check":"regression certificate 3","expected":{"nodes":1,"remaining":[[9]],"replacement":1,"singleton":true,"size":1,"survivor":9},"passed":false},{"actual":{"nodes":2,"remaining":[[1,9],[3,7]],"replacement":7,"singleton":true,"size":3,"survivor":3},"check":"regression certificate 4","expected":{"nodes":2,"remaining":[[1,9],[3]],"replacement":7,"singleton":true,"size":3,"survivor":3},"passed":false},{"actual":{"nodes":1,"remaining":[[1,9],[3]],"replacement":3,"singleton":false,"size":2,"survivor":null},"check":"regression certificate 5","expected":{"nodes":1,"remaining":[[1,9]],"replacement":3,"singleton":false,"size":2,"survivor":null},"passed":false},{"actual":{"nodes":3,"remaining":[[1,9],[2,8],[4,6]],"replacement":4,"singleton":true,"size":5,"survivor":6},"check":"regression certificate 6","expected":{"nodes":3,"remaining":[[1,9],[2,8],[6]],"replacement":4,"singleton":true,"size":5,"survivor":6},"passed":false},{"actual":{"nodes":3,"remaining":[[1,9],[2,8],[4,7]],"replacement":4,"singleton":true,"size":5,"survivor":7},"check":"variant-dependent certificate","expected":{"nodes":3,"remaining":[[1,9],[2,8],[7]],"replacement":4,"singleton":true,"size":5,"survivor":7},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression certificate 1\", \"actual\": {\"replacement\": null, \"remaining\": [], \"size\": 0, \"singleton\": false, \"survivor\": null, \"nodes\": 0}, \"expected\": {\"replacement\": null, \"remaining\": [], \"size\": 0, \"singleton\": false, \"survivor\": null, \"nodes\": 0}, \"passed\": true}, {\"check\": \"regression certificate 2\", \"actual\": {\"replacement\": 4, \"remaining\": [[4]], \"size\": 0, \"singleton\": false, \"survivor\": null, \"nodes\": 0}, \"expected\": {\"replacement\": 4, \"remaining\": [], \"size\": 0, \"singleton\": false, \"survivor\": null, \"nodes\": 0}, \"passed\": false}, {\"check\": \"regression certificate 3\", \"actual\": {\"replacement\": 1, \"remaining\": [[1, 9]], \"size\": 1, \"singleton\": true, \"survivor\": 9, \"nodes\": 1}, \"expected\": {\"replacement\": 1, \"remaining\": [[9]], \"size\": 1, \"singleton\": true, \"survivor\": 9, \"nodes\": 1}, \"passed\": false}, {\"check\": \"regression certificate 4\", \"actual\": {\"replacement\": 7, \"remaining\": [[1, 9], [3, 7]], \"size\": 3, \"singleton\": true, \"survivor\": 3, \"nodes\": 2}, \"expected\": {\"replacement\": 7, \"remaining\": [[1, 9], [3]], \"size\": 3, \"singleton\": true, \"survivor\": 3, \"nodes\": 2}, \"passed\": false}, {\"check\": \"regression certificate 5\", \"actual\": {\"replacement\": 3, \"remaining\": [[1, 9], [3]], \"size\": 2, \"singleton\": false, \"survivor\": null, \"nodes\": 1}, \"expected\": {\"replacement\": 3, \"remaining\": [[1, 9]], \"size\": 2, \"singleton\": false, \"survivor\": null, \"nodes\": 1}, \"passed\": false}, {\"check\": \"regression certificate 6\", \"actual\": {\"replacement\": 4, \"remaining\": [[1, 9], [2, 8], [4, 6]], \"size\": 5, \"singleton\": true, \"survivor\": 6, \"nodes\": 3}, \"expected\": {\"replacement\": 4, \"remaining\": [[1, 9], [2, 8], [6]], \"size\": 5, \"singleton\": true, \"survivor\": 6, \"nodes\": 3}, \"passed\": false}, {\"check\": \"variant-dependent certificate\", \"actual\": {\"replacement\": 4, \"remaining\": [[1, 9], [2, 8], [4, 7]], \"size\": 5, \"singleton\": true, \"survivor\": 7, \"nodes\": 3}, \"expected\": {\"replacement\": 4, \"remaining\": [[1, 9], [2, 8], [7]], \"size\": 5, \"singleton\": true, \"survivor\": 7, \"nodes\": 3}, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":42.632,"exit_code":1,"observations":[{"actual":{"nodes":0,"remaining":[],"replacement":null,"singleton":false,"size":0,"survivor":null},"check":"regression certificate 1","expected":{"nodes":0,"remaining":[],"replacement":null,"singleton":false,"size":0,"survivor":null},"passed":true},{"actual":{"nodes":0,"remaining":[],"replacement":4,"singleton":false,"size":0,"survivor":null},"check":"regression certificate 2","expected":{"nodes":0,"remaining":[],"replacement":4,"singleton":false,"size":0,"survivor":null},"passed":true},{"actual":{"nodes":1,"remaining":[],"replacement":1,"singleton":true,"size":1,"survivor":9},"check":"regression certificate 3","expected":{"nodes":1,"remaining":[[9]],"replacement":1,"singleton":true,"size":1,"survivor":9},"passed":false},{"actual":{"nodes":2,"remaining":[[1,9]],"replacement":7,"singleton":true,"size":3,"survivor":3},"check":"regression certificate 4","expected":{"nodes":2,"remaining":[[1,9],[3]],"replacement":7,"singleton":true,"size":3,"survivor":3},"passed":false},{"actual":{"nodes":1,"remaining":[[1,9]],"replacement":3,"singleton":false,"size":2,"survivor":null},"check":"regression certificate 5","expected":{"nodes":1,"remaining":[[1,9]],"replacement":3,"singleton":false,"size":2,"survivor":null},"passed":true},{"actual":{"nodes":3,"remaining":[[1,9],[2,8]],"replacement":4,"singleton":true,"size":5,"survivor":6},"check":"regression certificate 6","expected":{"nodes":3,"remaining":[[1,9],[2,8],[6]],"replacement":4,"singleton":true,"size":5,"survivor":6},"passed":false},{"actual":{"nodes":3,"remaining":[[1,9],[2,8]],"replacement":4,"singleton":true,"size":5,"survivor":7},"check":"variant-dependent certificate","expected":{"nodes":3,"remaining":[[1,9],[2,8],[7]],"replacement":4,"singleton":true,"size":5,"survivor":7},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression certificate 1\", \"actual\": {\"replacement\": null, \"remaining\": [], \"size\": 0, \"singleton\": false, \"survivor\": null, \"nodes\": 0}, \"expected\": {\"replacement\": null, \"remaining\": [], \"size\": 0, \"singleton\": false, \"survivor\": null, \"nodes\": 0}, \"passed\": true}, {\"check\": \"regression certificate 2\", \"actual\": {\"replacement\": 4, \"remaining\": [], \"size\": 0, \"singleton\": false, \"survivor\": null, \"nodes\": 0}, \"expected\": {\"replacement\": 4, \"remaining\": [], \"size\": 0, \"singleton\": false, \"survivor\": null, \"nodes\": 0}, \"passed\": true}, {\"check\": \"regression certificate 3\", \"actual\": {\"replacement\": 1, \"remaining\": [], \"size\": 1, \"singleton\": true, \"survivor\": 9, \"nodes\": 1}, \"expected\": {\"replacement\": 1, \"remaining\": [[9]], \"size\": 1, \"singleton\": true, \"survivor\": 9, \"nodes\": 1}, \"passed\": false}, {\"check\": \"regression certificate 4\", \"actual\": {\"replacement\": 7, \"remaining\": [[1, 9]], \"size\": 3, \"singleton\": true, \"survivor\": 3, \"nodes\": 2}, \"expected\": {\"replacement\": 7, \"remaining\": [[1, 9], [3]], \"size\": 3, \"singleton\": true, \"survivor\": 3, \"nodes\": 2}, \"passed\": false}, {\"check\": \"regression certificate 5\", \"actual\": {\"replacement\": 3, \"remaining\": [[1, 9]], \"size\": 2, \"singleton\": false, \"survivor\": null, \"nodes\": 1}, \"expected\": {\"replacement\": 3, \"remaining\": [[1, 9]], \"size\": 2, \"singleton\": false, \"survivor\": null, \"nodes\": 1}, \"passed\": true}, {\"check\": \"regression certificate 6\", \"actual\": {\"replacement\": 4, \"remaining\": [[1, 9], [2, 8]], \"size\": 5, \"singleton\": true, \"survivor\": 6, \"nodes\": 3}, \"expected\": {\"replacement\": 4, \"remaining\": [[1, 9], [2, 8], [6]], \"size\": 5, \"singleton\": true, \"survivor\": 6, \"nodes\": 3}, \"passed\": false}, {\"check\": \"variant-dependent certificate\", \"actual\": {\"replacement\": 4, \"remaining\": [[1, 9], [2, 8]], \"size\": 5, \"singleton\": true, \"survivor\": 7, \"nodes\": 3}, \"expected\": {\"replacement\": 4, \"remaining\": [[1, 9], [2, 8], [7]], \"size\": 5, \"singleton\": true, \"survivor\": 7, \"nodes\": 3}, \"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."}}