{"abstract":"Boundaries exactly one window away from a cut are left unsnapped.","category":"Subtitle cue timing","checks":8,"contract":"For each cue, the start snaps to the nearest shot change within window ms (|shot - start| <= window; ties go to the earlier shot). The end snaps so that it sits gap ms before the nearest shot change within window of end+gap. If snapping leaves end <= start, the original cue is kept unchanged.","evaluation_group":"w2-subtitle-cue-timing-shot-change-snap","failed_approach":"Snapping only forward misses cuts that occur just before the cue boundary.","family":"w2-subtitle-cue-timing-shot-change-snap-snap-window","id":"FA-78141","implementations":{"attempt":{"sha256":"ee0600e69d4215c4bb615a6905d248798a05936f3f6cdc750f7bc0b8e0ba5094","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(cues, shots, window, gap):\n    def near(t):\n        best=None\n        for sc in shots:\n            d=abs(sc-t)\n            if 0<=sc-t<=window and (best is None or d<abs(best-t)):\n                best=sc\n        return best\n    out=[]\n    for s0,e0 in cues:\n        s,e=s0,e0\n        a=near(s)\n        if a is not None:\n            s=a\n        b=near(e+gap)\n        if b is not None:\n            e=b-gap\n        if e<=s:\n            s,e=s0,e0\n        out.append([s,e])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: snap window', [[[900, 1500]], [1000], 100, 0], [[1000, 1500]]), ('regression variant: snap window', [[[1100, 2100], [2990, 3000], [900, 1800]], [1100, 3040], 200, 0], [[1100, 2100], [2990, 3000], [1100, 1800]]), ('partial repair probe: snap window', [[[2200, 2700]], [2150], 200, 80], [[2150, 2700]]), ('partial repair variant: snap window', [[[1050, 2150]], [1000, 4000], 200, 80], [[1000, 2150]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[1251, 1261], [0, 851]], [0, 1000, 3040], 250, 80], [[1251, 1261], [0, 920]]), ('normal control', [[[4201, 5101], [4201, 5201], [4201, 4701]], [4000], 200, 0], [[4201, 5101], [4201, 5201], [4201, 4701]]), ('normal control', [[[2950, 2980]], [1200, 2150, 3000], 250, 0], [[2950, 2980]])], [('regression: snap window', [[[850, 1890], [3000, 4000]], [1100, 3000], 250, 80], [[1100, 1890], [3000, 4000]]), ('regression variant: snap window', [[[1000, 2000], [3901, 4401]], [1100, 2000, 2150, 4000], 100, 42], [[1100, 1958], [4000, 4401]]), ('partial repair probe: snap window', [[[1200, 1230], [801, 1301], [1050, 1550]], [1000, 2150], 200, 0], [[1000, 1230], [1000, 1301], [1000, 1550]]), ('partial repair variant: snap window', [[[50, 950]], [0, 1200], 250, 42], [[0, 1158]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[899, 1999]], [1000], 100, 80], [[899, 1999]]), ('normal control', [[[1101, 1111], [950, 960], [950, 1850]], [1000, 4000], 100, 0], [[1101, 1111], [950, 960], [1000, 1850]]), ('normal control', [[[2799, 3839]], [1200, 3000], 200, 42], [[2799, 3839]])], [('regression: snap window', [[[1200, 1230], [801, 1301], [1050, 1550]], [1000, 2150], 200, 0], [[1000, 1230], [1000, 1301], [1000, 1550]]), ('regression variant: snap window', [[[3040, 3070], [2790, 3890], [849, 859]], [1100, 3040], 250, 80], [[3040, 3070], [3040, 3890], [849, 1020]]), ('partial repair probe: snap window', [[[2950, 2980], [4050, 5150]], [2150, 3000, 4000], 250, 0], [[2950, 2980], [4000, 5150]]), ('partial repair variant: snap window', [[[50, 950]], [0, 1200], 250, 42], [[0, 1158]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[2990, 3020], [3040, 4140], [3040, 4040]], [0, 2000, 3040], 100, 42], [[2990, 3020], [3040, 4140], [3040, 4040]]), ('normal control', [[[2150, 2650], [2351, 2361]], [2150], 200, 0], [[2150, 2650], [2351, 2361]]), ('normal control', [[[1100, 1600], [3241, 4241]], [0, 1100, 2000, 3040, 4000], 200, 80], [[1100, 1600], [3241, 4241]])], [('regression: snap window', [[[750, 1650]], [1000, 1200, 2150, 3000], 250, 0], [[1000, 1650]]), ('regression variant: snap window', [[[3000, 3900], [900, 930], [3000, 3030]], [0, 1100, 1200, 3000], 200, 80], [[3000, 3900], [900, 930], [3000, 3030]]), ('partial repair probe: snap window', [[[3900, 3910], [101, 1201], [4050, 4060]], [0, 2150, 3040, 4000], 100, 80], [[3900, 3910], [101, 1201], [4000, 4060]]), ('partial repair variant: snap window', [[[1050, 2150], [0, 1]], [0, 1000, 3000], 200, 0], [[1000, 2150], [0, 1]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[2000, 3040]], [2000], 250, 0], [[2000, 3040]]), ('normal control', [[[2799, 3899]], [3000], 200, 0], [[2799, 3899]]), ('normal control', [[[4050, 4080], [3950, 4950]], [2000, 4000], 250, 42], [[4050, 4080], [4000, 4950]])], [('regression: snap window', [[[3900, 3910], [101, 1201], [4050, 4060]], [0, 2150, 3040, 4000], 100, 80], [[3900, 3910], [101, 1201], [4000, 4060]]), ('regression variant: snap window', [[[750, 1850], [951, 1851], [950, 1850]], [1000, 1200], 250, 80], [[1000, 1850], [1000, 1851], [1000, 1850]]), ('partial repair probe: snap window', [[[50, 1150]], [0, 1200, 2000, 2150], 250, 80], [[0, 1120]]), ('partial repair variant: snap window', [[[4201, 5101], [1150, 1650], [2200, 3240]], [1100, 2000, 4000], 200, 0], [[4201, 5101], [1100, 1650], [2000, 3240]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[2000, 3000]], [2000, 2150], 100, 0], [[2000, 3000]]), ('normal control', [[[3040, 3070], [2990, 3890]], [3040], 100, 80], [[3040, 3070], [3040, 3890]]), ('normal control', [[[2000, 2500], [1949, 2849]], [0, 2000, 2150], 200, 42], [[2000, 2500], [2000, 2849]])]]\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":"83c96009a115471dc1fba69bc5006210e834675e21e464ad0a889e9ce17653fe","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(cues, shots, window, gap):\n    def near(t):\n        best=None\n        for sc in shots:\n            d=abs(sc-t)\n            if d<window and (best is None or d<abs(best-t)):\n                best=sc\n        return best\n    out=[]\n    for s0,e0 in cues:\n        s,e=s0,e0\n        a=near(s)\n        if a is not None:\n            s=a\n        b=near(e+gap)\n        if b is not None:\n            e=b-gap\n        if e<=s:\n            s,e=s0,e0\n        out.append([s,e])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: snap window', [[[900, 1500]], [1000], 100, 0], [[1000, 1500]]), ('regression variant: snap window', [[[1100, 2100], [2990, 3000], [900, 1800]], [1100, 3040], 200, 0], [[1100, 2100], [2990, 3000], [1100, 1800]]), ('partial repair probe: snap window', [[[2200, 2700]], [2150], 200, 80], [[2150, 2700]]), ('partial repair variant: snap window', [[[1050, 2150]], [1000, 4000], 200, 80], [[1000, 2150]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[1251, 1261], [0, 851]], [0, 1000, 3040], 250, 80], [[1251, 1261], [0, 920]]), ('normal control', [[[4201, 5101], [4201, 5201], [4201, 4701]], [4000], 200, 0], [[4201, 5101], [4201, 5201], [4201, 4701]]), ('normal control', [[[2950, 2980]], [1200, 2150, 3000], 250, 0], [[2950, 2980]])], [('regression: snap window', [[[850, 1890], [3000, 4000]], [1100, 3000], 250, 80], [[1100, 1890], [3000, 4000]]), ('regression variant: snap window', [[[1000, 2000], [3901, 4401]], [1100, 2000, 2150, 4000], 100, 42], [[1100, 1958], [4000, 4401]]), ('partial repair probe: snap window', [[[1200, 1230], [801, 1301], [1050, 1550]], [1000, 2150], 200, 0], [[1000, 1230], [1000, 1301], [1000, 1550]]), ('partial repair variant: snap window', [[[50, 950]], [0, 1200], 250, 42], [[0, 1158]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[899, 1999]], [1000], 100, 80], [[899, 1999]]), ('normal control', [[[1101, 1111], [950, 960], [950, 1850]], [1000, 4000], 100, 0], [[1101, 1111], [950, 960], [1000, 1850]]), ('normal control', [[[2799, 3839]], [1200, 3000], 200, 42], [[2799, 3839]])], [('regression: snap window', [[[1200, 1230], [801, 1301], [1050, 1550]], [1000, 2150], 200, 0], [[1000, 1230], [1000, 1301], [1000, 1550]]), ('regression variant: snap window', [[[3040, 3070], [2790, 3890], [849, 859]], [1100, 3040], 250, 80], [[3040, 3070], [3040, 3890], [849, 1020]]), ('partial repair probe: snap window', [[[2950, 2980], [4050, 5150]], [2150, 3000, 4000], 250, 0], [[2950, 2980], [4000, 5150]]), ('partial repair variant: snap window', [[[50, 950]], [0, 1200], 250, 42], [[0, 1158]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[2990, 3020], [3040, 4140], [3040, 4040]], [0, 2000, 3040], 100, 42], [[2990, 3020], [3040, 4140], [3040, 4040]]), ('normal control', [[[2150, 2650], [2351, 2361]], [2150], 200, 0], [[2150, 2650], [2351, 2361]]), ('normal control', [[[1100, 1600], [3241, 4241]], [0, 1100, 2000, 3040, 4000], 200, 80], [[1100, 1600], [3241, 4241]])], [('regression: snap window', [[[750, 1650]], [1000, 1200, 2150, 3000], 250, 0], [[1000, 1650]]), ('regression variant: snap window', [[[3000, 3900], [900, 930], [3000, 3030]], [0, 1100, 1200, 3000], 200, 80], [[3000, 3900], [900, 930], [3000, 3030]]), ('partial repair probe: snap window', [[[3900, 3910], [101, 1201], [4050, 4060]], [0, 2150, 3040, 4000], 100, 80], [[3900, 3910], [101, 1201], [4000, 4060]]), ('partial repair variant: snap window', [[[1050, 2150], [0, 1]], [0, 1000, 3000], 200, 0], [[1000, 2150], [0, 1]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[2000, 3040]], [2000], 250, 0], [[2000, 3040]]), ('normal control', [[[2799, 3899]], [3000], 200, 0], [[2799, 3899]]), ('normal control', [[[4050, 4080], [3950, 4950]], [2000, 4000], 250, 42], [[4050, 4080], [4000, 4950]])], [('regression: snap window', [[[3900, 3910], [101, 1201], [4050, 4060]], [0, 2150, 3040, 4000], 100, 80], [[3900, 3910], [101, 1201], [4000, 4060]]), ('regression variant: snap window', [[[750, 1850], [951, 1851], [950, 1850]], [1000, 1200], 250, 80], [[1000, 1850], [1000, 1851], [1000, 1850]]), ('partial repair probe: snap window', [[[50, 1150]], [0, 1200, 2000, 2150], 250, 80], [[0, 1120]]), ('partial repair variant: snap window', [[[4201, 5101], [1150, 1650], [2200, 3240]], [1100, 2000, 4000], 200, 0], [[4201, 5101], [1100, 1650], [2000, 3240]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[2000, 3000]], [2000, 2150], 100, 0], [[2000, 3000]]), ('normal control', [[[3040, 3070], [2990, 3890]], [3040], 100, 80], [[3040, 3070], [3040, 3890]]), ('normal control', [[[2000, 2500], [1949, 2849]], [0, 2000, 2150], 200, 42], [[2000, 2500], [2000, 2849]])]]\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":"92f3206ac25fc234455b758a0f545ac7667779d8bcfe5a2c0acf394589f81f97","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(cues, shots, window, gap):\n    def near(t):\n        best=None\n        for sc in shots:\n            d=abs(sc-t)\n            if d<=window and (best is None or d<abs(best-t)):\n                best=sc\n        return best\n    out=[]\n    for s0,e0 in cues:\n        s,e=s0,e0\n        a=near(s)\n        if a is not None:\n            s=a\n        b=near(e+gap)\n        if b is not None:\n            e=b-gap\n        if e<=s:\n            s,e=s0,e0\n        out.append([s,e])\n    return out\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[('regression: snap window', [[[900, 1500]], [1000], 100, 0], [[1000, 1500]]), ('regression variant: snap window', [[[1100, 2100], [2990, 3000], [900, 1800]], [1100, 3040], 200, 0], [[1100, 2100], [2990, 3000], [1100, 1800]]), ('partial repair probe: snap window', [[[2200, 2700]], [2150], 200, 80], [[2150, 2700]]), ('partial repair variant: snap window', [[[1050, 2150]], [1000, 4000], 200, 80], [[1000, 2150]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[1251, 1261], [0, 851]], [0, 1000, 3040], 250, 80], [[1251, 1261], [0, 920]]), ('normal control', [[[4201, 5101], [4201, 5201], [4201, 4701]], [4000], 200, 0], [[4201, 5101], [4201, 5201], [4201, 4701]]), ('normal control', [[[2950, 2980]], [1200, 2150, 3000], 250, 0], [[2950, 2980]])], [('regression: snap window', [[[850, 1890], [3000, 4000]], [1100, 3000], 250, 80], [[1100, 1890], [3000, 4000]]), ('regression variant: snap window', [[[1000, 2000], [3901, 4401]], [1100, 2000, 2150, 4000], 100, 42], [[1100, 1958], [4000, 4401]]), ('partial repair probe: snap window', [[[1200, 1230], [801, 1301], [1050, 1550]], [1000, 2150], 200, 0], [[1000, 1230], [1000, 1301], [1000, 1550]]), ('partial repair variant: snap window', [[[50, 950]], [0, 1200], 250, 42], [[0, 1158]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[899, 1999]], [1000], 100, 80], [[899, 1999]]), ('normal control', [[[1101, 1111], [950, 960], [950, 1850]], [1000, 4000], 100, 0], [[1101, 1111], [950, 960], [1000, 1850]]), ('normal control', [[[2799, 3839]], [1200, 3000], 200, 42], [[2799, 3839]])], [('regression: snap window', [[[1200, 1230], [801, 1301], [1050, 1550]], [1000, 2150], 200, 0], [[1000, 1230], [1000, 1301], [1000, 1550]]), ('regression variant: snap window', [[[3040, 3070], [2790, 3890], [849, 859]], [1100, 3040], 250, 80], [[3040, 3070], [3040, 3890], [849, 1020]]), ('partial repair probe: snap window', [[[2950, 2980], [4050, 5150]], [2150, 3000, 4000], 250, 0], [[2950, 2980], [4000, 5150]]), ('partial repair variant: snap window', [[[50, 950]], [0, 1200], 250, 42], [[0, 1158]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[2990, 3020], [3040, 4140], [3040, 4040]], [0, 2000, 3040], 100, 42], [[2990, 3020], [3040, 4140], [3040, 4040]]), ('normal control', [[[2150, 2650], [2351, 2361]], [2150], 200, 0], [[2150, 2650], [2351, 2361]]), ('normal control', [[[1100, 1600], [3241, 4241]], [0, 1100, 2000, 3040, 4000], 200, 80], [[1100, 1600], [3241, 4241]])], [('regression: snap window', [[[750, 1650]], [1000, 1200, 2150, 3000], 250, 0], [[1000, 1650]]), ('regression variant: snap window', [[[3000, 3900], [900, 930], [3000, 3030]], [0, 1100, 1200, 3000], 200, 80], [[3000, 3900], [900, 930], [3000, 3030]]), ('partial repair probe: snap window', [[[3900, 3910], [101, 1201], [4050, 4060]], [0, 2150, 3040, 4000], 100, 80], [[3900, 3910], [101, 1201], [4000, 4060]]), ('partial repair variant: snap window', [[[1050, 2150], [0, 1]], [0, 1000, 3000], 200, 0], [[1000, 2150], [0, 1]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[2000, 3040]], [2000], 250, 0], [[2000, 3040]]), ('normal control', [[[2799, 3899]], [3000], 200, 0], [[2799, 3899]]), ('normal control', [[[4050, 4080], [3950, 4950]], [2000, 4000], 250, 42], [[4050, 4080], [4000, 4950]])], [('regression: snap window', [[[3900, 3910], [101, 1201], [4050, 4060]], [0, 2150, 3040, 4000], 100, 80], [[3900, 3910], [101, 1201], [4000, 4060]]), ('regression variant: snap window', [[[750, 1850], [951, 1851], [950, 1850]], [1000, 1200], 250, 80], [[1000, 1850], [1000, 1851], [1000, 1850]]), ('partial repair probe: snap window', [[[50, 1150]], [0, 1200, 2000, 2150], 250, 80], [[0, 1120]]), ('partial repair variant: snap window', [[[4201, 5101], [1150, 1650], [2200, 3240]], [1100, 2000, 4000], 200, 0], [[4201, 5101], [1100, 1650], [2000, 3240]]), ('boundary control', [[[1150, 1800]], [1000, 1200, 2000], 100, 80], [[1200, 1800]]), ('normal control', [[[2000, 3000]], [2000, 2150], 100, 0], [[2000, 3000]]), ('normal control', [[[3040, 3070], [2990, 3890]], [3040], 100, 80], [[3040, 3070], [3040, 3890]]), ('normal control', [[[2000, 2500], [1949, 2849]], [0, 2000, 2150], 200, 42], [[2000, 2500], [2000, 2849]])]]\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-shot-change-snap-snap-window","generated_at":"2026-09-29T14:49:32.649986+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":"Snap when the distance is at most the window.","root_cause":"The snapping window is exclusive at its limit.","sha256":"7c288206c45cb5b1e6a71e035359072e324baf8fe518c96b735da4fb7d1325af","title":"Shot-change snapping of cue boundaries: snap window · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":42.22,"exit_code":1,"observations":[{"actual":[[1000,1500]],"check":"regression: snap window","expected":[[1000,1500]],"passed":true},{"actual":[[1100,2100],[2990,3000],[1100,1800]],"check":"regression variant: snap window","expected":[[1100,2100],[2990,3000],[1100,1800]],"passed":true},{"actual":[[2200,2700]],"check":"partial repair probe: snap window","expected":[[2150,2700]],"passed":false},{"actual":[[1050,2150]],"check":"partial repair variant: snap window","expected":[[1000,2150]],"passed":false},{"actual":[[1200,1800]],"check":"boundary control","expected":[[1200,1800]],"passed":true},{"actual":[[1251,1261],[0,920]],"check":"normal control","expected":[[1251,1261],[0,920]],"passed":true},{"actual":[[4201,5101],[4201,5201],[4201,4701]],"check":"normal control","expected":[[4201,5101],[4201,5201],[4201,4701]],"passed":true},{"actual":[[2950,2980]],"check":"normal control","expected":[[2950,2980]],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: snap window\", \"actual\": [[1000, 1500]], \"expected\": [[1000, 1500]], \"passed\": true}, {\"check\": \"regression variant: snap window\", \"actual\": [[1100, 2100], [2990, 3000], [1100, 1800]], \"expected\": [[1100, 2100], [2990, 3000], [1100, 1800]], \"passed\": true}, {\"check\": \"partial repair probe: snap window\", \"actual\": [[2200, 2700]], \"expected\": [[2150, 2700]], \"passed\": false}, {\"check\": \"partial repair variant: snap window\", \"actual\": [[1050, 2150]], \"expected\": [[1000, 2150]], \"passed\": false}, {\"check\": \"boundary control\", \"actual\": [[1200, 1800]], \"expected\": [[1200, 1800]], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [[1251, 1261], [0, 920]], \"expected\": [[1251, 1261], [0, 920]], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [[4201, 5101], [4201, 5201], [4201, 4701]], \"expected\": [[4201, 5101], [4201, 5201], [4201, 4701]], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [[2950, 2980]], \"expected\": [[2950, 2980]], \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":39.698,"exit_code":1,"observations":[{"actual":[[900,1500]],"check":"regression: snap window","expected":[[1000,1500]],"passed":false},{"actual":[[1100,2100],[2990,3000],[900,1800]],"check":"regression variant: snap window","expected":[[1100,2100],[2990,3000],[1100,1800]],"passed":false},{"actual":[[2150,2700]],"check":"partial repair probe: snap window","expected":[[2150,2700]],"passed":true},{"actual":[[1000,2150]],"check":"partial repair variant: snap window","expected":[[1000,2150]],"passed":true},{"actual":[[1200,1800]],"check":"boundary control","expected":[[1200,1800]],"passed":true},{"actual":[[1251,1261],[0,920]],"check":"normal control","expected":[[1251,1261],[0,920]],"passed":true},{"actual":[[4201,5101],[4201,5201],[4201,4701]],"check":"normal control","expected":[[4201,5101],[4201,5201],[4201,4701]],"passed":true},{"actual":[[2950,2980]],"check":"normal control","expected":[[2950,2980]],"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression: snap window\", \"actual\": [[900, 1500]], \"expected\": [[1000, 1500]], \"passed\": false}, {\"check\": \"regression variant: snap window\", \"actual\": [[1100, 2100], [2990, 3000], [900, 1800]], \"expected\": [[1100, 2100], [2990, 3000], [1100, 1800]], \"passed\": false}, {\"check\": \"partial repair probe: snap window\", \"actual\": [[2150, 2700]], \"expected\": [[2150, 2700]], \"passed\": true}, {\"check\": \"partial repair variant: snap window\", \"actual\": [[1000, 2150]], \"expected\": [[1000, 2150]], \"passed\": true}, {\"check\": \"boundary control\", \"actual\": [[1200, 1800]], \"expected\": [[1200, 1800]], \"passed\": true}, {\"check\": \"normal control\", \"actual\": [[1251, 1261], [0, 920]], \"expected\": [[1251, 1261], [0, 920]], 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