{"abstract":"Mapped cues are offset by a constant error unless the first anchor sits at time zero.","category":"Subtitle cue timing","checks":7,"contract":"anchors [[a1,b1],[a2,b2]] (a1 != a2, b1 != b2) map subtitle time a to video time b linearly through both points. Each time is mapped exactly, rounded half up, clamped at 0; cues whose mapped end is not after the mapped start are dropped.","evaluation_group":"w2-subtitle-cue-timing-two-point-sync","failed_approach":"Pairing the second video anchor with the first subtitle anchor shifts every cue by the anchor span.","family":"w2-subtitle-cue-timing-two-point-sync-intercept-anchor","id":"FA-78071","implementations":{"attempt":{"sha256":"1da20e84b3bf2e071a7204fda667ae3448d4d8449cc3fe3feb6f05b235b47da2","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(cues, anchors):\n    (a1,b1),(a2,b2)=anchors\n    k=Fraction(b2-b1,a2-a1)\n    def m(t):\n        return math.floor(b2+(t-a1)*k+Fraction(1,2))\n    out=[]\n    for s,e in cues:\n        ns,ne=max(0,m(s)),max(0,m(e))\n        if ne>ns:\n            out.append([ns,ne])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: intercept anchor', [[[0, 1000]], [[1000, 0], [3000, 1000]]], []), ('regression variant: intercept anchor', [[[1, 2], [1, 2], [1500, 1501], [250, 253]], [[11000, 12000], [10000, 11000]]], [[1001, 1002], [1001, 1002], [2500, 2501], [1250, 1253]]), ('partial repair probe: intercept anchor', [[[1, 3]], [[0, 0], [2, 1]]], [[1, 2]]), ('partial repair variant: intercept anchor', [[[1, 1001]], [[0, -1000], [10000, 9500]]], [[0, 51]]), ('normal control', [[[7777, 10277]], [[5000, 6000], [5003, 4503]]], []), ('normal control', [[[250, 251], [8492, 8493]], [[5000, 5500], [9000, 7000]]], []), ('normal control', [[[7777, 7779], [1500, 1503]], [[1000, 1000], [2000, 0]]], [])], [('regression: intercept anchor', [[[999, 1002], [999, 1999], [7777, 8277]], [[1000, 1500], [2000, 2000]]], [[1500, 1501], [1500, 2000], [4889, 5139]]), ('regression variant: intercept anchor', [[[3231, 3731], [1, 1001], [1500, 1501]], [[3, 1003], [0, -3000]]], [[4308231, 4975398], [0, 1332668], [1998500, 1999834]]), ('partial repair probe: intercept anchor', [[[250, 2750], [0, 3]], [[5000, 4000], [6000, 5500]]], [[0, 625]]), ('partial repair variant: intercept anchor', [[[1500, 4000], [0, 1000]], [[3, 1503], [0, -3000]]], [[2248500, 6001000], [0, 1498000]]), ('normal control', [[[7777, 8777], [7777, 7779]], [[0, 500], [1000, -1000]]], []), ('normal control', [[[250, 252]], [[10000, 10500], [11000, 10501]]], []), ('normal control', [[[7777, 8777], [3213, 3214], [1500, 1501], [250, 750]], [[5000, 6000], [5003, 5003]]], [])], [('regression: intercept anchor', [[[250, 2750], [0, 3]], [[5000, 4000], [6000, 5500]]], [[0, 625]]), ('regression variant: intercept anchor', [[[1500, 4000], [0, 1000]], [[3, 1503], [0, -3000]]], [[2248500, 6001000], [0, 1498000]]), ('partial repair probe: intercept anchor', [[[999, 1001], [7777, 7779], [1500, 2000], [250, 251]], [[3000, 1000], [1000, 0]]], [[0, 1], [3389, 3390], [250, 500]]), ('partial repair variant: intercept anchor', [[[7782, 10282], [7777, 7780], [250, 252], [1500, 2000]], [[1000, 2000], [3000, 2500]]], [[3696, 4321], [3694, 3695], [2125, 2250]]), ('normal control', [[[1500, 4000], [6431, 6931], [1, 1001], [862, 1862]], [[2000, 1500], [1000, 2000]]], []), ('normal control', [[[0, 500], [1500, 1502]], [[1000, 1500], [2000, 0]]], []), ('normal control', [[[7777, 7779]], [[5000, 4000], [6000, 4001]]], [])], [('regression: intercept anchor', [[[999, 1001], [7777, 7779], [1500, 2000], [250, 251]], [[3000, 1000], [1000, 0]]], [[0, 1], [3389, 3390], [250, 500]]), ('regression variant: intercept anchor', [[[7782, 10282], [7777, 7780], [250, 252], [1500, 2000]], [[1000, 2000], [3000, 2500]]], [[3696, 4321], [3694, 3695], [2125, 2250]]), ('partial repair probe: intercept anchor', [[[7777, 8277], [1523, 1524]], [[5000, 6000], [9000, 10500]]], [[9124, 9687], [2088, 2090]]), ('partial repair variant: intercept anchor', [[[1, 1001], [1500, 1503]], [[1000, 500], [0, 0]]], [[1, 501], [750, 752]]), ('normal control', [[[7777, 7778], [0, 2500]], [[1000, 1000], [2000, 0]]], []), ('normal control', [[[8367, 9367]], [[1000, 1500], [1003, 503]]], []), ('normal control', [[[999, 1001], [1, 501], [1500, 1502], [0, 3]], [[0, 1000], [1000, 500]]], [])], [('regression: intercept anchor', [[[7777, 8277], [1523, 1524]], [[5000, 6000], [9000, 10500]]], [[9124, 9687], [2088, 2090]]), ('regression variant: intercept anchor', [[[1, 1001], [1500, 1503]], [[1000, 500], [0, 0]]], [[1, 501], [750, 752]]), ('partial repair probe: intercept anchor', [[[999, 1999], [1, 2501], [7777, 8277], [250, 253]], [[0, -1000], [3, 503]]], [[499499, 1000499], [0, 1252001], [3895277, 4145777], [124250, 125753]]), ('partial repair variant: intercept anchor', [[[7777, 7780], [6684, 6687], [0, 500], [999, 3499]], [[0, -1000], [3, 1503]]], [[6487610, 6490113], [5575684, 5578187], [0, 416167], [832499, 2918332]]), ('normal control', [[[250, 253], [1500, 1502], [999, 1499], [999, 1001]], [[1000, 2000], [1003, 1503]]], []), ('normal control', [[[999, 1999], [1, 501], [0, 1]], [[10000, 10000], [10003, 8003]]], []), ('normal control', [[[1500, 1501]], [[1000, 1500], [2000, 1501]]], [])]]\nfor label, args, expected in fixtures[N-1]:\n    check(label, solve(*args), 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":"17682edfdfdbc543c781d3dc8ceb4692c0a3c037485d97d5509a0a74a1aae3c2","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(cues, anchors):\n    (a1,b1),(a2,b2)=anchors\n    k=Fraction(b2-b1,a2-a1)\n    def m(t):\n        return math.floor(b1+t*k+Fraction(1,2))\n    out=[]\n    for s,e in cues:\n        ns,ne=max(0,m(s)),max(0,m(e))\n        if ne>ns:\n            out.append([ns,ne])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: intercept anchor', [[[0, 1000]], [[1000, 0], [3000, 1000]]], []), ('regression variant: intercept anchor', [[[1, 2], [1, 2], [1500, 1501], [250, 253]], [[11000, 12000], [10000, 11000]]], [[1001, 1002], [1001, 1002], [2500, 2501], [1250, 1253]]), ('partial repair probe: intercept anchor', [[[1, 3]], [[0, 0], [2, 1]]], [[1, 2]]), ('partial repair variant: intercept anchor', [[[1, 1001]], [[0, -1000], [10000, 9500]]], [[0, 51]]), ('normal control', [[[7777, 10277]], [[5000, 6000], [5003, 4503]]], []), ('normal control', [[[250, 251], [8492, 8493]], [[5000, 5500], [9000, 7000]]], []), ('normal control', [[[7777, 7779], [1500, 1503]], [[1000, 1000], [2000, 0]]], [])], [('regression: intercept anchor', [[[999, 1002], [999, 1999], [7777, 8277]], [[1000, 1500], [2000, 2000]]], [[1500, 1501], [1500, 2000], [4889, 5139]]), ('regression variant: intercept anchor', [[[3231, 3731], [1, 1001], [1500, 1501]], [[3, 1003], [0, -3000]]], [[4308231, 4975398], [0, 1332668], [1998500, 1999834]]), ('partial repair probe: intercept anchor', [[[250, 2750], [0, 3]], [[5000, 4000], [6000, 5500]]], [[0, 625]]), ('partial repair variant: intercept anchor', [[[1500, 4000], [0, 1000]], [[3, 1503], [0, -3000]]], [[2248500, 6001000], [0, 1498000]]), ('normal control', [[[7777, 8777], [7777, 7779]], [[0, 500], [1000, -1000]]], []), ('normal control', [[[250, 252]], [[10000, 10500], [11000, 10501]]], []), ('normal control', [[[7777, 8777], [3213, 3214], [1500, 1501], [250, 750]], [[5000, 6000], [5003, 5003]]], [])], [('regression: intercept anchor', [[[250, 2750], [0, 3]], [[5000, 4000], [6000, 5500]]], [[0, 625]]), ('regression variant: intercept anchor', [[[1500, 4000], [0, 1000]], [[3, 1503], [0, -3000]]], [[2248500, 6001000], [0, 1498000]]), ('partial repair probe: intercept anchor', [[[999, 1001], [7777, 7779], [1500, 2000], [250, 251]], [[3000, 1000], [1000, 0]]], [[0, 1], [3389, 3390], [250, 500]]), ('partial repair variant: intercept anchor', [[[7782, 10282], [7777, 7780], [250, 252], [1500, 2000]], [[1000, 2000], [3000, 2500]]], [[3696, 4321], [3694, 3695], [2125, 2250]]), ('normal control', [[[1500, 4000], [6431, 6931], [1, 1001], [862, 1862]], [[2000, 1500], [1000, 2000]]], []), ('normal control', [[[0, 500], [1500, 1502]], [[1000, 1500], [2000, 0]]], []), ('normal control', [[[7777, 7779]], [[5000, 4000], [6000, 4001]]], [])], [('regression: intercept anchor', [[[999, 1001], [7777, 7779], [1500, 2000], [250, 251]], [[3000, 1000], [1000, 0]]], [[0, 1], [3389, 3390], [250, 500]]), ('regression variant: intercept anchor', [[[7782, 10282], [7777, 7780], [250, 252], [1500, 2000]], [[1000, 2000], [3000, 2500]]], [[3696, 4321], [3694, 3695], [2125, 2250]]), ('partial repair probe: intercept anchor', [[[7777, 8277], [1523, 1524]], [[5000, 6000], [9000, 10500]]], [[9124, 9687], [2088, 2090]]), ('partial repair variant: intercept anchor', [[[1, 1001], [1500, 1503]], [[1000, 500], [0, 0]]], [[1, 501], [750, 752]]), ('normal control', [[[7777, 7778], [0, 2500]], [[1000, 1000], [2000, 0]]], []), ('normal control', [[[8367, 9367]], [[1000, 1500], [1003, 503]]], []), ('normal control', [[[999, 1001], [1, 501], [1500, 1502], [0, 3]], [[0, 1000], [1000, 500]]], [])], [('regression: intercept anchor', [[[7777, 8277], [1523, 1524]], [[5000, 6000], [9000, 10500]]], [[9124, 9687], [2088, 2090]]), ('regression variant: intercept anchor', [[[1, 1001], [1500, 1503]], [[1000, 500], [0, 0]]], [[1, 501], [750, 752]]), ('partial repair probe: intercept anchor', [[[999, 1999], [1, 2501], [7777, 8277], [250, 253]], [[0, -1000], [3, 503]]], [[499499, 1000499], [0, 1252001], [3895277, 4145777], [124250, 125753]]), ('partial repair variant: intercept anchor', [[[7777, 7780], [6684, 6687], [0, 500], [999, 3499]], [[0, -1000], [3, 1503]]], [[6487610, 6490113], [5575684, 5578187], [0, 416167], [832499, 2918332]]), ('normal control', [[[250, 253], [1500, 1502], [999, 1499], [999, 1001]], [[1000, 2000], [1003, 1503]]], []), ('normal control', [[[999, 1999], [1, 501], [0, 1]], [[10000, 10000], [10003, 8003]]], []), ('normal control', [[[1500, 1501]], [[1000, 1500], [2000, 1501]]], [])]]\nfor label, args, expected in fixtures[N-1]:\n    check(label, solve(*args), 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"},"fixed":{"sha256":"afc1e1ee700e655f7adaa1c81c470fd797737321cd12de56340df581db48999d","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nfrom fractions import Fraction\nN = 1\nobservations = []\ndef solve(cues, anchors):\n    (a1,b1),(a2,b2)=anchors\n    k=Fraction(b2-b1,a2-a1)\n    def m(t):\n        return math.floor(b1+(t-a1)*k+Fraction(1,2))\n    out=[]\n    for s,e in cues:\n        ns,ne=max(0,m(s)),max(0,m(e))\n        if ne>ns:\n            out.append([ns,ne])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: intercept anchor', [[[0, 1000]], [[1000, 0], [3000, 1000]]], []), ('regression variant: intercept anchor', [[[1, 2], [1, 2], [1500, 1501], [250, 253]], [[11000, 12000], [10000, 11000]]], [[1001, 1002], [1001, 1002], [2500, 2501], [1250, 1253]]), ('partial repair probe: intercept anchor', [[[1, 3]], [[0, 0], [2, 1]]], [[1, 2]]), ('partial repair variant: intercept anchor', [[[1, 1001]], [[0, -1000], [10000, 9500]]], [[0, 51]]), ('normal control', [[[7777, 10277]], [[5000, 6000], [5003, 4503]]], []), ('normal control', [[[250, 251], [8492, 8493]], [[5000, 5500], [9000, 7000]]], []), ('normal control', [[[7777, 7779], [1500, 1503]], [[1000, 1000], [2000, 0]]], [])], [('regression: intercept anchor', [[[999, 1002], [999, 1999], [7777, 8277]], [[1000, 1500], [2000, 2000]]], [[1500, 1501], [1500, 2000], [4889, 5139]]), ('regression variant: intercept anchor', [[[3231, 3731], [1, 1001], [1500, 1501]], [[3, 1003], [0, -3000]]], [[4308231, 4975398], [0, 1332668], [1998500, 1999834]]), ('partial repair probe: intercept anchor', [[[250, 2750], [0, 3]], [[5000, 4000], [6000, 5500]]], [[0, 625]]), ('partial repair variant: intercept anchor', [[[1500, 4000], [0, 1000]], [[3, 1503], [0, -3000]]], [[2248500, 6001000], [0, 1498000]]), ('normal control', [[[7777, 8777], [7777, 7779]], [[0, 500], [1000, -1000]]], []), ('normal control', [[[250, 252]], [[10000, 10500], [11000, 10501]]], []), ('normal control', [[[7777, 8777], [3213, 3214], [1500, 1501], [250, 750]], [[5000, 6000], [5003, 5003]]], [])], [('regression: intercept anchor', [[[250, 2750], [0, 3]], [[5000, 4000], [6000, 5500]]], [[0, 625]]), ('regression variant: intercept anchor', [[[1500, 4000], [0, 1000]], [[3, 1503], [0, -3000]]], [[2248500, 6001000], [0, 1498000]]), ('partial repair probe: intercept anchor', [[[999, 1001], [7777, 7779], [1500, 2000], [250, 251]], [[3000, 1000], [1000, 0]]], [[0, 1], [3389, 3390], [250, 500]]), ('partial repair variant: intercept anchor', [[[7782, 10282], [7777, 7780], [250, 252], [1500, 2000]], [[1000, 2000], [3000, 2500]]], [[3696, 4321], [3694, 3695], [2125, 2250]]), ('normal control', [[[1500, 4000], [6431, 6931], [1, 1001], [862, 1862]], [[2000, 1500], [1000, 2000]]], []), ('normal control', [[[0, 500], [1500, 1502]], [[1000, 1500], [2000, 0]]], []), ('normal control', [[[7777, 7779]], [[5000, 4000], [6000, 4001]]], [])], [('regression: intercept anchor', [[[999, 1001], [7777, 7779], [1500, 2000], [250, 251]], [[3000, 1000], [1000, 0]]], [[0, 1], [3389, 3390], [250, 500]]), ('regression variant: intercept anchor', [[[7782, 10282], [7777, 7780], [250, 252], [1500, 2000]], [[1000, 2000], [3000, 2500]]], [[3696, 4321], [3694, 3695], [2125, 2250]]), ('partial repair probe: intercept anchor', [[[7777, 8277], [1523, 1524]], [[5000, 6000], [9000, 10500]]], [[9124, 9687], [2088, 2090]]), ('partial repair variant: intercept anchor', [[[1, 1001], [1500, 1503]], [[1000, 500], [0, 0]]], [[1, 501], [750, 752]]), ('normal control', [[[7777, 7778], [0, 2500]], [[1000, 1000], [2000, 0]]], []), ('normal control', [[[8367, 9367]], [[1000, 1500], [1003, 503]]], []), ('normal control', [[[999, 1001], [1, 501], [1500, 1502], [0, 3]], [[0, 1000], [1000, 500]]], [])], [('regression: intercept anchor', [[[7777, 8277], [1523, 1524]], [[5000, 6000], [9000, 10500]]], [[9124, 9687], [2088, 2090]]), ('regression variant: intercept anchor', [[[1, 1001], [1500, 1503]], [[1000, 500], [0, 0]]], [[1, 501], [750, 752]]), ('partial repair probe: intercept anchor', [[[999, 1999], [1, 2501], [7777, 8277], [250, 253]], [[0, -1000], [3, 503]]], [[499499, 1000499], [0, 1252001], [3895277, 4145777], [124250, 125753]]), ('partial repair variant: intercept anchor', [[[7777, 7780], [6684, 6687], [0, 500], [999, 3499]], [[0, -1000], [3, 1503]]], [[6487610, 6490113], [5575684, 5578187], [0, 416167], [832499, 2918332]]), ('normal control', [[[250, 253], [1500, 1502], [999, 1499], [999, 1001]], [[1000, 2000], [1003, 1503]]], []), ('normal control', [[[999, 1999], [1, 501], [0, 1]], [[10000, 10000], [10003, 8003]]], []), ('normal control', [[[1500, 1501]], [[1000, 1500], [2000, 1501]]], [])]]\nfor label, args, expected in fixtures[N-1]:\n    check(label, solve(*args), 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":"A deterministic bounded teaching model with a stipulated toy contract; it does not claim conformance to any subtitle standard. 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":"w2-subtitle-cue-timing-two-point-sync-intercept-anchor","generated_at":"2026-09-29T14:49:31.980064+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Subtitle timing defects shift, hide or overlap captions that viewers depend on for comprehension and accessibility.","repair":"Map t as b1 + (t - a1) * slope.","root_cause":"The mapping multiplies absolute subtitle time by the slope without subtracting the anchor time.","sha256":"33691b86b0edd1b20d58a0b267a8ebf8b99a923a1508ad81ee7dc267ef1eeac8","title":"Two-point subtitle synchronisation: intercept anchor · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":47.013,"exit_code":1,"observations":[{"actual":[[500,1000]],"check":"regression: intercept anchor","expected":[],"passed":false},{"actual":[[1,2],[1,2],[1500,1501],[250,253]],"check":"regression variant: intercept anchor","expected":[[1001,1002],[1001,1002],[2500,2501],[1250,1253]],"passed":false},{"actual":[[2,3]],"check":"partial repair probe: intercept anchor","expected":[[1,2]],"passed":false},{"actual":[[9501,10551]],"check":"partial repair variant: intercept anchor","expected":[[0,51]],"passed":false},{"actual":[],"check":"normal control","expected":[],"passed":true},{"actual":[],"check":"normal control","expected":[],"passed":true},{"actual":[],"check":"normal control","expected":[],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: intercept anchor\", \"actual\": [[500, 1000]], \"expected\": [], \"passed\": false}, {\"check\": \"regression variant: intercept anchor\", \"actual\": [[1, 2], [1, 2], [1500, 1501], [250, 253]], \"expected\": [[1001, 1002], [1001, 1002], [2500, 2501], [1250, 1253]], \"passed\": false}, {\"check\": \"partial repair probe: intercept anchor\", \"actual\": [[2, 3]], \"expected\": [[1, 2]], \"passed\": false}, {\"check\": \"partial repair variant: intercept anchor\", \"actual\": [[9501, 10551]], \"expected\": [[0, 51]], \"passed\": false}, {\"check\": \"normal control\", \"actual\": [], \"expected\": [], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [], \"expected\": [], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [], \"expected\": [], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":45.013,"exit_code":1,"observations":[{"actual":[[0,500]],"check":"regression: intercept anchor","expected":[],"passed":false},{"actual":[[12001,12002],[12001,12002],[13500,13501],[12250,12253]],"check":"regression variant: intercept anchor","expected":[[1001,1002],[1001,1002],[2500,2501],[1250,1253]],"passed":false},{"actual":[[1,2]],"check":"partial repair probe: intercept anchor","expected":[[1,2]],"passed":true},{"actual":[[0,51]],"check":"partial repair variant: intercept anchor","expected":[[0,51]],"passed":true},{"actual":[],"check":"normal control","expected":[],"passed":true},{"actual":[],"check":"normal control","expected":[],"passed":true},{"actual":[],"check":"normal control","expected":[],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: intercept anchor\", \"actual\": [[0, 500]], \"expected\": [], \"passed\": false}, {\"check\": \"regression variant: intercept anchor\", \"actual\": [[12001, 12002], [12001, 12002], [13500, 13501], [12250, 12253]], \"expected\": [[1001, 1002], [1001, 1002], [2500, 2501], [1250, 1253]], \"passed\": false}, {\"check\": \"partial repair probe: intercept anchor\", \"actual\": [[1, 2]], \"expected\": [[1, 2]], \"passed\": true}, {\"check\": \"partial repair variant: intercept anchor\", \"actual\": [[0, 51]], \"expected\": [[0, 51]], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [], \"expected\": [], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [], \"expected\": [], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [], \"expected\": [], \"passed\": true}], \"passed\": false}\n"},"fixed":{"elapsed_ms":47.688,"exit_code":0,"observations":[{"actual":[],"check":"regression: intercept anchor","expected":[],"passed":true},{"actual":[[1001,1002],[1001,1002],[2500,2501],[1250,1253]],"check":"regression variant: intercept anchor","expected":[[1001,1002],[1001,1002],[2500,2501],[1250,1253]],"passed":true},{"actual":[[1,2]],"check":"partial repair probe: intercept anchor","expected":[[1,2]],"passed":true},{"actual":[[0,51]],"check":"partial repair variant: intercept anchor","expected":[[0,51]],"passed":true},{"actual":[],"check":"normal control","expected":[],"passed":true},{"actual":[],"check":"normal control","expected":[],"passed":true},{"actual":[],"check":"normal control","expected":[],"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: intercept anchor\", \"actual\": [], \"expected\": [], \"passed\": true}, {\"check\": \"regression variant: intercept anchor\", \"actual\": [[1001, 1002], [1001, 1002], [2500, 2501], [1250, 1253]], \"expected\": [[1001, 1002], [1001, 1002], [2500, 2501], [1250, 1253]], \"passed\": true}, {\"check\": \"partial repair probe: intercept anchor\", \"actual\": [[1, 2]], \"expected\": [[1, 2]], \"passed\": true}, {\"check\": \"partial repair variant: intercept anchor\", \"actual\": [[0, 51]], \"expected\": [[0, 51]], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [], \"expected\": [], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [], \"expected\": [], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [], \"expected\": [], \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}