{"abstract":"A barrier crossed only at expiry is ignored.","category":"Options payoff and settlement","checks":8,"contract":"Inputs kind (up/down, in/out, call/put), observed path including initial and final price, strike, barrier and rebate. The barrier is hit if any observation is >= barrier (up) or <= barrier (down). Knock-out: rebate if hit else vanilla on the final price. Knock-in: vanilla if hit else rebate. Round to 6.","evaluation_group":"w2-options_payoff_and_settlement-discrete-barrier","failed_approach":"Excluding the initial observation instead misses barriers breached at inception.","family":"w2-options_payoff_and_settlement-discrete-barrier-monitoring-window","id":"FA-61446","implementations":{"attempt":{"sha256":"73390af321814c06b1f1f9be7d606a5f62b77bdcf6d4109038272d53cc8748a4","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(kind, path, strike, barrier, rebate):\n    up = kind.startswith('up')\n    hit = any(p >= barrier for p in path[1:]) if up else any(p <= barrier for p in path[1:])\n    final = path[-1]\n    vanilla = max(final - strike, 0) if kind.endswith('call') else max(strike - final, 0)\n    if '-out-' in kind:\n        pay = rebate if hit else vanilla\n    else:\n        pay = vanilla if hit else rebate\n    return round(pay, 6)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression monitoring window 1', ['down-out-put', [100.0, 105.0, 97.65, 97.65, 90.81, 84.45], 105, 90.0, 0.0], 0.0], ['regression monitoring window 2', ['down-out-put', [100.0, 90.0, 85.5, 76.95, 73.1], 100, 73.1, 3.0], 3.0], ['partial repair probe 1', ['down-out-put', [100.0, 105.0, 105.0, 115.5], 100, 100.0, 1.5], 1.5], ['partial repair probe 2', ['up-out-call', [100.0, 93.0, 86.49, 90.81], 100, 100.0, 1.5], 1.5], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['down-out-put', [100.0, 95.0, 88.35], 95, 85.0, 3.0], 6.65], ['normal control 2', ['up-out-put', [100.0, 105.0, 99.75, 109.73, 115.22, 107.15, 96.44, 89.69], 100, 100.0, 1.5], 1.5]], [['regression monitoring window 1', ['up-out-call', [100.0, 110.0, 118.8], 105, 115.0, 1.5], 1.5], ['regression monitoring window 2', ['down-in-put', [100.0, 93.0, 97.65, 92.77, 97.41, 97.41, 92.54, 83.29], 100, 90.0, 1.5], 16.71], ['partial repair probe 1', ['up-out-put', [100.0, 90.0, 85.5, 94.05, 84.64, 88.87, 79.98], 105, 100.0, 3.0], 3.0], ['partial repair probe 2', ['up-in-call', [100.0, 95.0, 90.25, 81.23, 77.17, 77.17], 105, 100.0, 3.0], 0], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['up-out-put', [100.0, 108.0, 108.0, 113.4, 119.07], 105, 120.0, 3.0], 0], ['normal control 2', ['up-out-call', [100.0, 105.0, 99.75, 92.77, 86.28, 90.59], 105, 110.0, 3.0], 0]], [['regression monitoring window 1', ['up-in-call', [100.0, 110.0, 115.5, 109.72, 120.69], 100, 120.0, 1.5], 20.69], ['regression monitoring window 2', ['down-in-put', [100.0, 93.0, 88.35, 82.17], 95, 85.0, 1.5], 12.83], ['partial repair probe 1', ['down-out-put', [100.0, 105.0, 110.25, 115.76, 127.34, 118.43], 95, 100.0, 3.0], 3.0], ['partial repair probe 2', ['up-out-call', [100.0, 90.0, 90.0, 90.0, 85.5, 85.5, 76.95], 105, 100.0, 1.5], 1.5], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['down-out-put', [100.0, 90.0, 83.7, 79.52, 87.47, 94.47], 100, 80.0, 1.5], 1.5], ['normal control 2', ['up-out-put', [100.0, 110.0, 99.0, 103.95, 109.15, 120.07], 95, 99.0, 3.0], 3.0]], [['regression monitoring window 1', ['up-out-call', [100.0, 93.0, 86.49, 95.14, 102.75, 102.75, 110.97], 105, 110.0, 0.0], 0.0], ['regression monitoring window 2', ['up-in-call', [100.0, 100.0, 90.0, 94.5, 102.06], 105, 102.06, 1.5], 0], ['partial repair probe 1', ['up-in-call', [100.0, 90.0, 85.5, 92.34, 83.11, 87.27, 82.91], 100, 95.0, 3.0], 0], ['partial repair probe 2', ['up-out-put', [100.0, 93.0, 93.0], 95, 95.0, 0.0], 0.0], ['boundary control 1', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['boundary control 2', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['normal control 1', ['up-out-call', [100.0, 110.0, 118.8], 100, 110.0, 0.0], 0.0], ['normal control 2', ['down-in-put', [100.0, 100.0, 93.0], 100, 85.0, 3.0], 3.0]], [['regression monitoring window 1', ['down-in-put', [100.0, 105.0, 94.5], 95, 94.5, 3.0], 0.5], ['regression monitoring window 2', ['down-out-put', [100.0, 105.0, 105.0, 110.25, 110.25, 104.74, 94.27, 89.56], 95, 89.56, 3.0], 3.0], ['partial repair probe 1', ['up-out-call', [100.0, 90.0, 81.0, 81.0], 105, 95.0, 1.5], 1.5], ['partial repair probe 2', ['up-in-call', [100.0, 90.0, 97.2, 92.34], 100, 100.0, 1.5], 0], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['down-in-call', [100.0, 100.0, 110.0, 104.5, 104.5], 95, 80.0, 0.0], 0.0], ['normal control 2', ['down-in-call', [100.0, 110.0, 99.0, 106.92, 99.44, 107.4, 107.4, 115.99], 95, 105.0, 0.0], 20.99]]]\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":"242c9bc61fa736a2112adcf9fc7742ccd93ad132dec5b68d5a1b87af1ee6be47","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(kind, path, strike, barrier, rebate):\n    up = kind.startswith('up')\n    hit = any(p >= barrier for p in path[:-1]) if up else any(p <= barrier for p in path[:-1])\n    final = path[-1]\n    vanilla = max(final - strike, 0) if kind.endswith('call') else max(strike - final, 0)\n    if '-out-' in kind:\n        pay = rebate if hit else vanilla\n    else:\n        pay = vanilla if hit else rebate\n    return round(pay, 6)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression monitoring window 1', ['down-out-put', [100.0, 105.0, 97.65, 97.65, 90.81, 84.45], 105, 90.0, 0.0], 0.0], ['regression monitoring window 2', ['down-out-put', [100.0, 90.0, 85.5, 76.95, 73.1], 100, 73.1, 3.0], 3.0], ['partial repair probe 1', ['down-out-put', [100.0, 105.0, 105.0, 115.5], 100, 100.0, 1.5], 1.5], ['partial repair probe 2', ['up-out-call', [100.0, 93.0, 86.49, 90.81], 100, 100.0, 1.5], 1.5], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['down-out-put', [100.0, 95.0, 88.35], 95, 85.0, 3.0], 6.65], ['normal control 2', ['up-out-put', [100.0, 105.0, 99.75, 109.73, 115.22, 107.15, 96.44, 89.69], 100, 100.0, 1.5], 1.5]], [['regression monitoring window 1', ['up-out-call', [100.0, 110.0, 118.8], 105, 115.0, 1.5], 1.5], ['regression monitoring window 2', ['down-in-put', [100.0, 93.0, 97.65, 92.77, 97.41, 97.41, 92.54, 83.29], 100, 90.0, 1.5], 16.71], ['partial repair probe 1', ['up-out-put', [100.0, 90.0, 85.5, 94.05, 84.64, 88.87, 79.98], 105, 100.0, 3.0], 3.0], ['partial repair probe 2', ['up-in-call', [100.0, 95.0, 90.25, 81.23, 77.17, 77.17], 105, 100.0, 3.0], 0], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['up-out-put', [100.0, 108.0, 108.0, 113.4, 119.07], 105, 120.0, 3.0], 0], ['normal control 2', ['up-out-call', [100.0, 105.0, 99.75, 92.77, 86.28, 90.59], 105, 110.0, 3.0], 0]], [['regression monitoring window 1', ['up-in-call', [100.0, 110.0, 115.5, 109.72, 120.69], 100, 120.0, 1.5], 20.69], ['regression monitoring window 2', ['down-in-put', [100.0, 93.0, 88.35, 82.17], 95, 85.0, 1.5], 12.83], ['partial repair probe 1', ['down-out-put', [100.0, 105.0, 110.25, 115.76, 127.34, 118.43], 95, 100.0, 3.0], 3.0], ['partial repair probe 2', ['up-out-call', [100.0, 90.0, 90.0, 90.0, 85.5, 85.5, 76.95], 105, 100.0, 1.5], 1.5], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['down-out-put', [100.0, 90.0, 83.7, 79.52, 87.47, 94.47], 100, 80.0, 1.5], 1.5], ['normal control 2', ['up-out-put', [100.0, 110.0, 99.0, 103.95, 109.15, 120.07], 95, 99.0, 3.0], 3.0]], [['regression monitoring window 1', ['up-out-call', [100.0, 93.0, 86.49, 95.14, 102.75, 102.75, 110.97], 105, 110.0, 0.0], 0.0], ['regression monitoring window 2', ['up-in-call', [100.0, 100.0, 90.0, 94.5, 102.06], 105, 102.06, 1.5], 0], ['partial repair probe 1', ['up-in-call', [100.0, 90.0, 85.5, 92.34, 83.11, 87.27, 82.91], 100, 95.0, 3.0], 0], ['partial repair probe 2', ['up-out-put', [100.0, 93.0, 93.0], 95, 95.0, 0.0], 0.0], ['boundary control 1', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['boundary control 2', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['normal control 1', ['up-out-call', [100.0, 110.0, 118.8], 100, 110.0, 0.0], 0.0], ['normal control 2', ['down-in-put', [100.0, 100.0, 93.0], 100, 85.0, 3.0], 3.0]], [['regression monitoring window 1', ['down-in-put', [100.0, 105.0, 94.5], 95, 94.5, 3.0], 0.5], ['regression monitoring window 2', ['down-out-put', [100.0, 105.0, 105.0, 110.25, 110.25, 104.74, 94.27, 89.56], 95, 89.56, 3.0], 3.0], ['partial repair probe 1', ['up-out-call', [100.0, 90.0, 81.0, 81.0], 105, 95.0, 1.5], 1.5], ['partial repair probe 2', ['up-in-call', [100.0, 90.0, 97.2, 92.34], 100, 100.0, 1.5], 0], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['down-in-call', [100.0, 100.0, 110.0, 104.5, 104.5], 95, 80.0, 0.0], 0.0], ['normal control 2', ['down-in-call', [100.0, 110.0, 99.0, 106.92, 99.44, 107.4, 107.4, 115.99], 95, 105.0, 0.0], 20.99]]]\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":"e35f856c4e06fb8000c3e61d45905270e806fc62041bb4bcc88553b432249d87","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\n\nN = 1\nobservations = []\ndef solve(kind, path, strike, barrier, rebate):\n    up = kind.startswith('up')\n    hit = any(p >= barrier for p in path) if up else any(p <= barrier for p in path)\n    final = path[-1]\n    vanilla = max(final - strike, 0) if kind.endswith('call') else max(strike - final, 0)\n    if '-out-' in kind:\n        pay = rebate if hit else vanilla\n    else:\n        pay = vanilla if hit else rebate\n    return round(pay, 6)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['regression monitoring window 1', ['down-out-put', [100.0, 105.0, 97.65, 97.65, 90.81, 84.45], 105, 90.0, 0.0], 0.0], ['regression monitoring window 2', ['down-out-put', [100.0, 90.0, 85.5, 76.95, 73.1], 100, 73.1, 3.0], 3.0], ['partial repair probe 1', ['down-out-put', [100.0, 105.0, 105.0, 115.5], 100, 100.0, 1.5], 1.5], ['partial repair probe 2', ['up-out-call', [100.0, 93.0, 86.49, 90.81], 100, 100.0, 1.5], 1.5], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['down-out-put', [100.0, 95.0, 88.35], 95, 85.0, 3.0], 6.65], ['normal control 2', ['up-out-put', [100.0, 105.0, 99.75, 109.73, 115.22, 107.15, 96.44, 89.69], 100, 100.0, 1.5], 1.5]], [['regression monitoring window 1', ['up-out-call', [100.0, 110.0, 118.8], 105, 115.0, 1.5], 1.5], ['regression monitoring window 2', ['down-in-put', [100.0, 93.0, 97.65, 92.77, 97.41, 97.41, 92.54, 83.29], 100, 90.0, 1.5], 16.71], ['partial repair probe 1', ['up-out-put', [100.0, 90.0, 85.5, 94.05, 84.64, 88.87, 79.98], 105, 100.0, 3.0], 3.0], ['partial repair probe 2', ['up-in-call', [100.0, 95.0, 90.25, 81.23, 77.17, 77.17], 105, 100.0, 3.0], 0], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['up-out-put', [100.0, 108.0, 108.0, 113.4, 119.07], 105, 120.0, 3.0], 0], ['normal control 2', ['up-out-call', [100.0, 105.0, 99.75, 92.77, 86.28, 90.59], 105, 110.0, 3.0], 0]], [['regression monitoring window 1', ['up-in-call', [100.0, 110.0, 115.5, 109.72, 120.69], 100, 120.0, 1.5], 20.69], ['regression monitoring window 2', ['down-in-put', [100.0, 93.0, 88.35, 82.17], 95, 85.0, 1.5], 12.83], ['partial repair probe 1', ['down-out-put', [100.0, 105.0, 110.25, 115.76, 127.34, 118.43], 95, 100.0, 3.0], 3.0], ['partial repair probe 2', ['up-out-call', [100.0, 90.0, 90.0, 90.0, 85.5, 85.5, 76.95], 105, 100.0, 1.5], 1.5], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['down-out-put', [100.0, 90.0, 83.7, 79.52, 87.47, 94.47], 100, 80.0, 1.5], 1.5], ['normal control 2', ['up-out-put', [100.0, 110.0, 99.0, 103.95, 109.15, 120.07], 95, 99.0, 3.0], 3.0]], [['regression monitoring window 1', ['up-out-call', [100.0, 93.0, 86.49, 95.14, 102.75, 102.75, 110.97], 105, 110.0, 0.0], 0.0], ['regression monitoring window 2', ['up-in-call', [100.0, 100.0, 90.0, 94.5, 102.06], 105, 102.06, 1.5], 0], ['partial repair probe 1', ['up-in-call', [100.0, 90.0, 85.5, 92.34, 83.11, 87.27, 82.91], 100, 95.0, 3.0], 0], ['partial repair probe 2', ['up-out-put', [100.0, 93.0, 93.0], 95, 95.0, 0.0], 0.0], ['boundary control 1', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['boundary control 2', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['normal control 1', ['up-out-call', [100.0, 110.0, 118.8], 100, 110.0, 0.0], 0.0], ['normal control 2', ['down-in-put', [100.0, 100.0, 93.0], 100, 85.0, 3.0], 3.0]], [['regression monitoring window 1', ['down-in-put', [100.0, 105.0, 94.5], 95, 94.5, 3.0], 0.5], ['regression monitoring window 2', ['down-out-put', [100.0, 105.0, 105.0, 110.25, 110.25, 104.74, 94.27, 89.56], 95, 89.56, 3.0], 3.0], ['partial repair probe 1', ['up-out-call', [100.0, 90.0, 81.0, 81.0], 105, 95.0, 1.5], 1.5], ['partial repair probe 2', ['up-in-call', [100.0, 90.0, 97.2, 92.34], 100, 100.0, 1.5], 0], ['boundary control 1', ['up-out-call', [100.0, 110.0, 105.0], 100, 110.0, 2.0], 2.0], ['boundary control 2', ['down-in-put', [100.0, 95.0], 100, 90.0, 1.0], 1.0], ['normal control 1', ['down-in-call', [100.0, 100.0, 110.0, 104.5, 104.5], 95, 80.0, 0.0], 0.0], ['normal control 2', ['down-in-call', [100.0, 110.0, 99.0, 106.92, 99.44, 107.4, 107.4, 115.99], 95, 105.0, 0.0], 20.99]]]\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 toy contract stated explicitly in the contract field; no claim of conformance to any exchange or clearing rulebook. 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-options_payoff_and_settlement-discrete-barrier-monitoring-window","generated_at":"2026-09-29T14:46:55.411727+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Option expiry, exercise and settlement engines move cash and shares; a wrong branch misstates obligations.","repair":"Monitor every observation including the final one.","root_cause":"Monitoring iterates over path[:-1].","sha256":"db90f13e078ffe8a0665eb39a0e00b45c95662dd1585dfcc693892c7f4f82a0b","title":"Discretely monitored barrier option payoff: the final observation is excluded from monitoring · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":39.789,"exit_code":1,"observations":[{"actual":0.0,"check":"regression monitoring window 1","expected":0.0,"passed":true},{"actual":3.0,"check":"regression monitoring window 2","expected":3.0,"passed":true},{"actual":0,"check":"partial repair probe 1","expected":1.5,"passed":false},{"actual":0,"check":"partial repair probe 2","expected":1.5,"passed":false},{"actual":2.0,"check":"boundary control 1","expected":2.0,"passed":true},{"actual":1.0,"check":"boundary control 2","expected":1.0,"passed":true},{"actual":6.65,"check":"normal control 1","expected":6.65,"passed":true},{"actual":1.5,"check":"normal control 2","expected":1.5,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression monitoring window 1\", \"actual\": 0.0, \"expected\": 0.0, \"passed\": true}, {\"check\": \"regression monitoring window 2\", \"actual\": 3.0, \"expected\": 3.0, \"passed\": true}, {\"check\": \"partial repair probe 1\", \"actual\": 0, \"expected\": 1.5, \"passed\": false}, {\"check\": \"partial repair probe 2\", \"actual\": 0, \"expected\": 1.5, \"passed\": false}, {\"check\": \"boundary control 1\", \"actual\": 2.0, \"expected\": 2.0, \"passed\": true}, {\"check\": \"boundary control 2\", \"actual\": 1.0, \"expected\": 1.0, \"passed\": true}, {\"check\": \"normal control 1\", \"actual\": 6.65, \"expected\": 6.65, \"passed\": true}, {\"check\": \"normal control 2\", \"actual\": 1.5, \"expected\": 1.5, \"passed\": true}], \"passed\": false}\n"},"broken":{"elapsed_ms":40.316,"exit_code":1,"observations":[{"actual":20.55,"check":"regression monitoring window 1","expected":0.0,"passed":false},{"actual":26.9,"check":"regression monitoring window 2","expected":3.0,"passed":false},{"actual":1.5,"check":"partial repair probe 1","expected":1.5,"passed":true},{"actual":1.5,"check":"partial repair probe 2","expected":1.5,"passed":true},{"actual":2.0,"check":"boundary control 1","expected":2.0,"passed":true},{"actual":1.0,"check":"boundary control 2","expected":1.0,"passed":true},{"actual":6.65,"check":"normal control 1","expected":6.65,"passed":true},{"actual":1.5,"check":"normal control 2","expected":1.5,"passed":true}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"regression monitoring window 1\", \"actual\": 20.55, \"expected\": 0.0, \"passed\": false}, {\"check\": \"regression monitoring window 2\", \"actual\": 26.9, \"expected\": 3.0, \"passed\": false}, {\"check\": \"partial repair probe 1\", \"actual\": 1.5, \"expected\": 1.5, \"passed\": true}, {\"check\": \"partial repair probe 2\", \"actual\": 1.5, \"expected\": 1.5, \"passed\": true}, {\"check\": \"boundary control 1\", \"actual\": 2.0, \"expected\": 2.0, \"passed\": true}, {\"check\": \"boundary control 2\", \"actual\": 1.0, \"expected\": 1.0, \"passed\": true}, {\"check\": \"normal control 1\", \"actual\": 6.65, \"expected\": 6.65, \"passed\": true}, {\"check\": 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