{"abstract":"Uniform delay level of service returns a wrong result when lOS thresholds are exclusive.","category":"Traffic signal timing plans","checks":8,"contract":"Input {cycle, green, volume, sat_per_lane, lanes}. lam = green/cycle, capacity = sat*lanes*lam, X = volume/capacity, uniform delay d = 0.5*C*(1-lam)^2/(1 - min(1,X)*lam) rounded half up to tenths. LOS thresholds on tenths: <=100 A, <=200 B, <=350 C, <=550 D, <=800 E, else F; any X > 1 is F. Return {vc_milli: floor(1000X), delay_tenths, los}.","evaluation_group":"w2-traffic_signal_timing_plans-uniform-delay-los","failed_approach":"Comparing delay seconds against thresholds in tenths grades almost every movement A.","family":"w2-traffic_signal_timing_plans-uniform-delay-los-threshold-inclusive","id":"FA-68146","implementations":{"attempt":{"sha256":"5a69d1b34f22e501a4cb134eecadf45e7861069209d4b734f66dde99331171a8","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(x):\n    C, g = x['cycle'], x['green']\n    lam = Fraction(g, C)\n    cap = x['sat_per_lane'] * x['lanes'] * lam\n    X = Fraction(x['volume']) / cap\n    d = Fraction(1, 2) * C * (1 - lam) ** 2 / (1 - min(1, X) * lam)\n    tenths = int(d * 10 + Fraction(1, 2))\n    if X > 1:\n        los = 'F'\n    else:\n        los = 'F'\n        for lim, lab in ((100, 'A'), (200, 'B'), (350, 'C'), (550, 'D'), (800, 'E')):\n            if d <= lim:\n                los = lab\n                break\n    return {'vc_milli': int(X * 1000), 'delay_tenths': tenths, 'los': los}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[({'cycle': 60, 'green': 40, 'volume': 800, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 666, 'delay_tenths': 60, 'los': 'A'}), ({'cycle': 150, 'green': 123, 'volume': 3014, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 1021, 'delay_tenths': 135, 'los': 'F'}), ({'cycle': 120, 'green': 23, 'volume': 782, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 1200, 'delay_tenths': 485, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 110, 'green': 84, 'volume': 4598, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 1770, 'delay_tenths': 130, 'los': 'F'}), ({'cycle': 150, 'green': 80, 'volume': 2720, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1000, 'delay_tenths': 350, 'los': 'C'}), ({'cycle': 120, 'green': 50, 'volume': 2125, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1000, 'delay_tenths': 350, 'los': 'C'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'})], [({'cycle': 60, 'green': 40, 'volume': 800, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 666, 'delay_tenths': 60, 'los': 'A'}), ({'cycle': 150, 'green': 19, 'volume': 507, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 784, 'delay_tenths': 635, 'los': 'E'}), ({'cycle': 70, 'green': 47, 'volume': 2082, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 912, 'delay_tenths': 97, 'los': 'A'}), ({'cycle': 100, 'green': 29, 'volume': 1805, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 1728, 'delay_tenths': 355, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'}), ({'cycle': 140, 'green': 76, 'volume': 1466, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1500, 'delay_tenths': 320, 'los': 'F'}), ({'cycle': 80, 'green': 25, 'volume': 1080, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1920, 'delay_tenths': 275, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'})], [({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 60, 'green': 29, 'volume': 1124, 'sat_per_lane': 1900, 'lanes': 3}, {'vc_milli': 407, 'delay_tenths': 100, 'los': 'A'}), ({'cycle': 90, 'green': 71, 'volume': 5771, 'sat_per_lane': 1800, 'lanes': 3}, {'vc_milli': 1354, 'delay_tenths': 95, 'los': 'F'}), ({'cycle': 90, 'green': 66, 'volume': 6108, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1633, 'delay_tenths': 120, 'los': 'F'}), ({'cycle': 90, 'green': 20, 'volume': 2234, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1971, 'delay_tenths': 350, 'los': 'F'}), ({'cycle': 90, 'green': 30, 'volume': 700, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 583, 'delay_tenths': 248, 'los': 'C'}), ({'cycle': 140, 'green': 108, 'volume': 3411, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 1300, 'delay_tenths': 160, 'los': 'F'})], [({'cycle': 110, 'green': 70, 'volume': 6812, 'sat_per_lane': 1800, 'lanes': 3}, {'vc_milli': 1982, 'delay_tenths': 200, 'los': 'F'}), ({'cycle': 80, 'green': 49, 'volume': 625, 'sat_per_lane': 1700, 'lanes': 1}, {'vc_milli': 600, 'delay_tenths': 95, 'los': 'A'}), ({'cycle': 90, 'green': 30, 'volume': 700, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 583, 'delay_tenths': 248, 'los': 'C'}), ({'cycle': 90, 'green': 25, 'volume': 383, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 766, 'delay_tenths': 298, 'los': 'C'}), ({'cycle': 150, 'green': 23, 'volume': 434, 'sat_per_lane': 1900, 'lanes': 1}, {'vc_milli': 1489, 'delay_tenths': 635, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 100, 'green': 81, 'volume': 2684, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 974, 'delay_tenths': 86, 'los': 'A'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'})], [({'cycle': 100, 'green': 82, 'volume': 911, 'sat_per_lane': 1700, 'lanes': 1}, {'vc_milli': 653, 'delay_tenths': 35, 'los': 'A'}), ({'cycle': 120, 'green': 10, 'volume': 475, 'sat_per_lane': 1900, 'lanes': 3}, {'vc_milli': 1000, 'delay_tenths': 550, 'los': 'D'}), ({'cycle': 130, 'green': 85, 'volume': 4393, 'sat_per_lane': 1800, 'lanes': 3}, {'vc_milli': 1244, 'delay_tenths': 225, 'los': 'F'}), ({'cycle': 90, 'green': 55, 'volume': 1084, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 521, 'delay_tenths': 100, 'los': 'A'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'}), ({'cycle': 120, 'green': 40, 'volume': 1300, 'sat_per_lane': 1900, 'lanes': 2}, {'vc_milli': 1026, 'delay_tenths': 400, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 90, 'green': 30, 'volume': 700, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 583, 'delay_tenths': 248, 'los': 'C'})]]\nfor i, (args, expected) in enumerate(fixtures[N-1]):\n    check('timing oracle' + ' %d' % i, 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":"6468f538da819f3b3554d40626beca3cfda2eefbc83ab5057a886df21f101f0d","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(x):\n    C, g = x['cycle'], x['green']\n    lam = Fraction(g, C)\n    cap = x['sat_per_lane'] * x['lanes'] * lam\n    X = Fraction(x['volume']) / cap\n    d = Fraction(1, 2) * C * (1 - lam) ** 2 / (1 - min(1, X) * lam)\n    tenths = int(d * 10 + Fraction(1, 2))\n    if X > 1:\n        los = 'F'\n    else:\n        los = 'F'\n        for lim, lab in ((100, 'A'), (200, 'B'), (350, 'C'), (550, 'D'), (800, 'E')):\n            if tenths < lim:\n                los = lab\n                break\n    return {'vc_milli': int(X * 1000), 'delay_tenths': tenths, 'los': los}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[({'cycle': 60, 'green': 40, 'volume': 800, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 666, 'delay_tenths': 60, 'los': 'A'}), ({'cycle': 150, 'green': 123, 'volume': 3014, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 1021, 'delay_tenths': 135, 'los': 'F'}), ({'cycle': 120, 'green': 23, 'volume': 782, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 1200, 'delay_tenths': 485, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 110, 'green': 84, 'volume': 4598, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 1770, 'delay_tenths': 130, 'los': 'F'}), ({'cycle': 150, 'green': 80, 'volume': 2720, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1000, 'delay_tenths': 350, 'los': 'C'}), ({'cycle': 120, 'green': 50, 'volume': 2125, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1000, 'delay_tenths': 350, 'los': 'C'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'})], [({'cycle': 60, 'green': 40, 'volume': 800, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 666, 'delay_tenths': 60, 'los': 'A'}), ({'cycle': 150, 'green': 19, 'volume': 507, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 784, 'delay_tenths': 635, 'los': 'E'}), ({'cycle': 70, 'green': 47, 'volume': 2082, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 912, 'delay_tenths': 97, 'los': 'A'}), ({'cycle': 100, 'green': 29, 'volume': 1805, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 1728, 'delay_tenths': 355, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'}), ({'cycle': 140, 'green': 76, 'volume': 1466, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1500, 'delay_tenths': 320, 'los': 'F'}), ({'cycle': 80, 'green': 25, 'volume': 1080, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1920, 'delay_tenths': 275, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'})], [({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 60, 'green': 29, 'volume': 1124, 'sat_per_lane': 1900, 'lanes': 3}, {'vc_milli': 407, 'delay_tenths': 100, 'los': 'A'}), ({'cycle': 90, 'green': 71, 'volume': 5771, 'sat_per_lane': 1800, 'lanes': 3}, {'vc_milli': 1354, 'delay_tenths': 95, 'los': 'F'}), ({'cycle': 90, 'green': 66, 'volume': 6108, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1633, 'delay_tenths': 120, 'los': 'F'}), ({'cycle': 90, 'green': 20, 'volume': 2234, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1971, 'delay_tenths': 350, 'los': 'F'}), ({'cycle': 90, 'green': 30, 'volume': 700, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 583, 'delay_tenths': 248, 'los': 'C'}), ({'cycle': 140, 'green': 108, 'volume': 3411, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 1300, 'delay_tenths': 160, 'los': 'F'})], [({'cycle': 110, 'green': 70, 'volume': 6812, 'sat_per_lane': 1800, 'lanes': 3}, {'vc_milli': 1982, 'delay_tenths': 200, 'los': 'F'}), ({'cycle': 80, 'green': 49, 'volume': 625, 'sat_per_lane': 1700, 'lanes': 1}, {'vc_milli': 600, 'delay_tenths': 95, 'los': 'A'}), ({'cycle': 90, 'green': 30, 'volume': 700, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 583, 'delay_tenths': 248, 'los': 'C'}), ({'cycle': 90, 'green': 25, 'volume': 383, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 766, 'delay_tenths': 298, 'los': 'C'}), ({'cycle': 150, 'green': 23, 'volume': 434, 'sat_per_lane': 1900, 'lanes': 1}, {'vc_milli': 1489, 'delay_tenths': 635, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 100, 'green': 81, 'volume': 2684, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 974, 'delay_tenths': 86, 'los': 'A'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'})], [({'cycle': 100, 'green': 82, 'volume': 911, 'sat_per_lane': 1700, 'lanes': 1}, {'vc_milli': 653, 'delay_tenths': 35, 'los': 'A'}), ({'cycle': 120, 'green': 10, 'volume': 475, 'sat_per_lane': 1900, 'lanes': 3}, {'vc_milli': 1000, 'delay_tenths': 550, 'los': 'D'}), ({'cycle': 130, 'green': 85, 'volume': 4393, 'sat_per_lane': 1800, 'lanes': 3}, {'vc_milli': 1244, 'delay_tenths': 225, 'los': 'F'}), ({'cycle': 90, 'green': 55, 'volume': 1084, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 521, 'delay_tenths': 100, 'los': 'A'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'}), ({'cycle': 120, 'green': 40, 'volume': 1300, 'sat_per_lane': 1900, 'lanes': 2}, {'vc_milli': 1026, 'delay_tenths': 400, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 90, 'green': 30, 'volume': 700, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 583, 'delay_tenths': 248, 'los': 'C'})]]\nfor i, (args, expected) in enumerate(fixtures[N-1]):\n    check('timing oracle' + ' %d' % i, 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":"93b5bf9e515250e33b5db817dd4a0b16e5993103ab67ea4fab7b9e1e7536a7f7","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nfrom fractions import Fraction\nimport math\nN = 1\nobservations = []\ndef solve(x):\n    C, g = x['cycle'], x['green']\n    lam = Fraction(g, C)\n    cap = x['sat_per_lane'] * x['lanes'] * lam\n    X = Fraction(x['volume']) / cap\n    d = Fraction(1, 2) * C * (1 - lam) ** 2 / (1 - min(1, X) * lam)\n    tenths = int(d * 10 + Fraction(1, 2))\n    if X > 1:\n        los = 'F'\n    else:\n        los = 'F'\n        for lim, lab in ((100, 'A'), (200, 'B'), (350, 'C'), (550, 'D'), (800, 'E')):\n            if tenths <= lim:\n                los = lab\n                break\n    return {'vc_milli': int(X * 1000), 'delay_tenths': tenths, 'los': los}\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[({'cycle': 60, 'green': 40, 'volume': 800, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 666, 'delay_tenths': 60, 'los': 'A'}), ({'cycle': 150, 'green': 123, 'volume': 3014, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 1021, 'delay_tenths': 135, 'los': 'F'}), ({'cycle': 120, 'green': 23, 'volume': 782, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 1200, 'delay_tenths': 485, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 110, 'green': 84, 'volume': 4598, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 1770, 'delay_tenths': 130, 'los': 'F'}), ({'cycle': 150, 'green': 80, 'volume': 2720, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1000, 'delay_tenths': 350, 'los': 'C'}), ({'cycle': 120, 'green': 50, 'volume': 2125, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1000, 'delay_tenths': 350, 'los': 'C'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'})], [({'cycle': 60, 'green': 40, 'volume': 800, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 666, 'delay_tenths': 60, 'los': 'A'}), ({'cycle': 150, 'green': 19, 'volume': 507, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 784, 'delay_tenths': 635, 'los': 'E'}), ({'cycle': 70, 'green': 47, 'volume': 2082, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 912, 'delay_tenths': 97, 'los': 'A'}), ({'cycle': 100, 'green': 29, 'volume': 1805, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 1728, 'delay_tenths': 355, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'}), ({'cycle': 140, 'green': 76, 'volume': 1466, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1500, 'delay_tenths': 320, 'los': 'F'}), ({'cycle': 80, 'green': 25, 'volume': 1080, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1920, 'delay_tenths': 275, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'})], [({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 60, 'green': 29, 'volume': 1124, 'sat_per_lane': 1900, 'lanes': 3}, {'vc_milli': 407, 'delay_tenths': 100, 'los': 'A'}), ({'cycle': 90, 'green': 71, 'volume': 5771, 'sat_per_lane': 1800, 'lanes': 3}, {'vc_milli': 1354, 'delay_tenths': 95, 'los': 'F'}), ({'cycle': 90, 'green': 66, 'volume': 6108, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1633, 'delay_tenths': 120, 'los': 'F'}), ({'cycle': 90, 'green': 20, 'volume': 2234, 'sat_per_lane': 1700, 'lanes': 3}, {'vc_milli': 1971, 'delay_tenths': 350, 'los': 'F'}), ({'cycle': 90, 'green': 30, 'volume': 700, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 583, 'delay_tenths': 248, 'los': 'C'}), ({'cycle': 140, 'green': 108, 'volume': 3411, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 1300, 'delay_tenths': 160, 'los': 'F'})], [({'cycle': 110, 'green': 70, 'volume': 6812, 'sat_per_lane': 1800, 'lanes': 3}, {'vc_milli': 1982, 'delay_tenths': 200, 'los': 'F'}), ({'cycle': 80, 'green': 49, 'volume': 625, 'sat_per_lane': 1700, 'lanes': 1}, {'vc_milli': 600, 'delay_tenths': 95, 'los': 'A'}), ({'cycle': 90, 'green': 30, 'volume': 700, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 583, 'delay_tenths': 248, 'los': 'C'}), ({'cycle': 90, 'green': 25, 'volume': 383, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 766, 'delay_tenths': 298, 'los': 'C'}), ({'cycle': 150, 'green': 23, 'volume': 434, 'sat_per_lane': 1900, 'lanes': 1}, {'vc_milli': 1489, 'delay_tenths': 635, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 100, 'green': 81, 'volume': 2684, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 974, 'delay_tenths': 86, 'los': 'A'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'})], [({'cycle': 100, 'green': 82, 'volume': 911, 'sat_per_lane': 1700, 'lanes': 1}, {'vc_milli': 653, 'delay_tenths': 35, 'los': 'A'}), ({'cycle': 120, 'green': 10, 'volume': 475, 'sat_per_lane': 1900, 'lanes': 3}, {'vc_milli': 1000, 'delay_tenths': 550, 'los': 'D'}), ({'cycle': 130, 'green': 85, 'volume': 4393, 'sat_per_lane': 1800, 'lanes': 3}, {'vc_milli': 1244, 'delay_tenths': 225, 'los': 'F'}), ({'cycle': 90, 'green': 55, 'volume': 1084, 'sat_per_lane': 1700, 'lanes': 2}, {'vc_milli': 521, 'delay_tenths': 100, 'los': 'A'}), ({'cycle': 100, 'green': 50, 'volume': 675, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 750, 'delay_tenths': 200, 'los': 'B'}), ({'cycle': 120, 'green': 40, 'volume': 1300, 'sat_per_lane': 1900, 'lanes': 2}, {'vc_milli': 1026, 'delay_tenths': 400, 'los': 'F'}), ({'cycle': 100, 'green': 50, 'volume': 900, 'sat_per_lane': 1800, 'lanes': 1}, {'vc_milli': 1000, 'delay_tenths': 250, 'los': 'C'}), ({'cycle': 90, 'green': 30, 'volume': 700, 'sat_per_lane': 1800, 'lanes': 2}, {'vc_milli': 583, 'delay_tenths': 248, 'los': 'C'})]]\nfor i, (args, expected) in enumerate(fixtures[N-1]):\n    check('timing oracle' + ' %d' % i, 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 toy model with a stipulated contract; it makes no claim of conformance to any agency manual or 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-traffic_signal_timing_plans-uniform-delay-los-threshold-inclusive","generated_at":"2026-09-29T14:47:59.527596+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Signal timing arithmetic is exact and integer or rational; a wrong rule silently produces unsafe or inefficient timing plans.","repair":"Restore the LOS threshold comparison rule so that the step reads `if tenths <= lim:`.","root_cause":"A delay exactly at a threshold such as 20.0 s is graded one level worse.","sha256":"25f9ae2659e4cc47afa055a445d9e4b9c2ed2a387baa71a2b4b034fc068be3dc","title":"Uniform delay level of service: LOS thresholds are exclusive · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verification":{"attempt":{"elapsed_ms":47.51,"exit_code":1,"observations":[{"actual":{"delay_tenths":60,"los":"A","vc_milli":666},"check":"timing oracle 0","expected":{"delay_tenths":60,"los":"A","vc_milli":666},"passed":true},{"actual":{"delay_tenths":135,"los":"F","vc_milli":1021},"check":"timing oracle 1","expected":{"delay_tenths":135,"los":"F","vc_milli":1021},"passed":true},{"actual":{"delay_tenths":485,"los":"F","vc_milli":1200},"check":"timing oracle 2","expected":{"delay_tenths":485,"los":"F","vc_milli":1200},"passed":true},{"actual":{"delay_tenths":250,"los":"A","vc_milli":1000},"check":"timing oracle 3","expected":{"delay_tenths":250,"los":"C","vc_milli":1000},"passed":false},{"actual":{"delay_tenths":130,"los":"F","vc_milli":1770},"check":"timing oracle 4","expected":{"delay_tenths":130,"los":"F","vc_milli":1770},"passed":true},{"actual":{"delay_tenths":350,"los":"A","vc_milli":1000},"check":"timing oracle 5","expected":{"delay_tenths":350,"los":"C","vc_milli":1000},"passed":false},{"actual":{"delay_tenths":350,"los":"A","vc_milli":1000},"check":"timing oracle 6","expected":{"delay_tenths":350,"los":"C","vc_milli":1000},"passed":false},{"actual":{"delay_tenths":200,"los":"A","vc_milli":750},"check":"timing oracle 7","expected":{"delay_tenths":200,"los":"B","vc_milli":750},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"timing oracle 0\", \"actual\": {\"vc_milli\": 666, \"delay_tenths\": 60, \"los\": \"A\"}, \"expected\": {\"vc_milli\": 666, \"delay_tenths\": 60, \"los\": \"A\"}, \"passed\": true}, {\"check\": \"timing oracle 1\", \"actual\": {\"vc_milli\": 1021, \"delay_tenths\": 135, \"los\": \"F\"}, \"expected\": {\"vc_milli\": 1021, \"delay_tenths\": 135, \"los\": \"F\"}, \"passed\": true}, {\"check\": \"timing oracle 2\", \"actual\": {\"vc_milli\": 1200, \"delay_tenths\": 485, \"los\": \"F\"}, \"expected\": {\"vc_milli\": 1200, \"delay_tenths\": 485, \"los\": \"F\"}, \"passed\": true}, {\"check\": \"timing oracle 3\", \"actual\": {\"vc_milli\": 1000, \"delay_tenths\": 250, \"los\": \"A\"}, \"expected\": {\"vc_milli\": 1000, \"delay_tenths\": 250, \"los\": \"C\"}, \"passed\": false}, {\"check\": \"timing oracle 4\", \"actual\": {\"vc_milli\": 1770, \"delay_tenths\": 130, \"los\": \"F\"}, \"expected\": {\"vc_milli\": 1770, \"delay_tenths\": 130, \"los\": \"F\"}, \"passed\": true}, {\"check\": \"timing oracle 5\", \"actual\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"A\"}, \"expected\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"C\"}, \"passed\": false}, {\"check\": \"timing oracle 6\", \"actual\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"A\"}, \"expected\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"C\"}, \"passed\": false}, {\"check\": \"timing oracle 7\", \"actual\": {\"vc_milli\": 750, \"delay_tenths\": 200, \"los\": \"A\"}, \"expected\": {\"vc_milli\": 750, \"delay_tenths\": 200, \"los\": \"B\"}, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.706,"exit_code":1,"observations":[{"actual":{"delay_tenths":60,"los":"A","vc_milli":666},"check":"timing oracle 0","expected":{"delay_tenths":60,"los":"A","vc_milli":666},"passed":true},{"actual":{"delay_tenths":135,"los":"F","vc_milli":1021},"check":"timing oracle 1","expected":{"delay_tenths":135,"los":"F","vc_milli":1021},"passed":true},{"actual":{"delay_tenths":485,"los":"F","vc_milli":1200},"check":"timing oracle 2","expected":{"delay_tenths":485,"los":"F","vc_milli":1200},"passed":true},{"actual":{"delay_tenths":250,"los":"C","vc_milli":1000},"check":"timing oracle 3","expected":{"delay_tenths":250,"los":"C","vc_milli":1000},"passed":true},{"actual":{"delay_tenths":130,"los":"F","vc_milli":1770},"check":"timing oracle 4","expected":{"delay_tenths":130,"los":"F","vc_milli":1770},"passed":true},{"actual":{"delay_tenths":350,"los":"D","vc_milli":1000},"check":"timing oracle 5","expected":{"delay_tenths":350,"los":"C","vc_milli":1000},"passed":false},{"actual":{"delay_tenths":350,"los":"D","vc_milli":1000},"check":"timing oracle 6","expected":{"delay_tenths":350,"los":"C","vc_milli":1000},"passed":false},{"actual":{"delay_tenths":200,"los":"C","vc_milli":750},"check":"timing oracle 7","expected":{"delay_tenths":200,"los":"B","vc_milli":750},"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"timing oracle 0\", \"actual\": {\"vc_milli\": 666, \"delay_tenths\": 60, \"los\": \"A\"}, \"expected\": {\"vc_milli\": 666, \"delay_tenths\": 60, \"los\": \"A\"}, \"passed\": true}, {\"check\": \"timing oracle 1\", \"actual\": {\"vc_milli\": 1021, \"delay_tenths\": 135, \"los\": \"F\"}, \"expected\": {\"vc_milli\": 1021, \"delay_tenths\": 135, \"los\": \"F\"}, \"passed\": true}, {\"check\": \"timing oracle 2\", \"actual\": {\"vc_milli\": 1200, \"delay_tenths\": 485, \"los\": \"F\"}, \"expected\": {\"vc_milli\": 1200, \"delay_tenths\": 485, \"los\": \"F\"}, \"passed\": true}, {\"check\": \"timing oracle 3\", \"actual\": {\"vc_milli\": 1000, \"delay_tenths\": 250, \"los\": \"C\"}, \"expected\": {\"vc_milli\": 1000, \"delay_tenths\": 250, \"los\": \"C\"}, \"passed\": true}, {\"check\": \"timing oracle 4\", \"actual\": {\"vc_milli\": 1770, \"delay_tenths\": 130, \"los\": \"F\"}, \"expected\": {\"vc_milli\": 1770, \"delay_tenths\": 130, \"los\": \"F\"}, \"passed\": true}, {\"check\": \"timing oracle 5\", \"actual\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"D\"}, \"expected\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"C\"}, \"passed\": false}, {\"check\": \"timing oracle 6\", \"actual\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"D\"}, \"expected\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"C\"}, \"passed\": false}, {\"check\": \"timing oracle 7\", \"actual\": {\"vc_milli\": 750, \"delay_tenths\": 200, \"los\": \"C\"}, \"expected\": {\"vc_milli\": 750, \"delay_tenths\": 200, \"los\": \"B\"}, \"passed\": false}], \"passed\": false}\n"},"fixed":{"elapsed_ms":43.484,"exit_code":0,"observations":[{"actual":{"delay_tenths":60,"los":"A","vc_milli":666},"check":"timing oracle 0","expected":{"delay_tenths":60,"los":"A","vc_milli":666},"passed":true},{"actual":{"delay_tenths":135,"los":"F","vc_milli":1021},"check":"timing oracle 1","expected":{"delay_tenths":135,"los":"F","vc_milli":1021},"passed":true},{"actual":{"delay_tenths":485,"los":"F","vc_milli":1200},"check":"timing oracle 2","expected":{"delay_tenths":485,"los":"F","vc_milli":1200},"passed":true},{"actual":{"delay_tenths":250,"los":"C","vc_milli":1000},"check":"timing oracle 3","expected":{"delay_tenths":250,"los":"C","vc_milli":1000},"passed":true},{"actual":{"delay_tenths":130,"los":"F","vc_milli":1770},"check":"timing oracle 4","expected":{"delay_tenths":130,"los":"F","vc_milli":1770},"passed":true},{"actual":{"delay_tenths":350,"los":"C","vc_milli":1000},"check":"timing oracle 5","expected":{"delay_tenths":350,"los":"C","vc_milli":1000},"passed":true},{"actual":{"delay_tenths":350,"los":"C","vc_milli":1000},"check":"timing oracle 6","expected":{"delay_tenths":350,"los":"C","vc_milli":1000},"passed":true},{"actual":{"delay_tenths":200,"los":"B","vc_milli":750},"check":"timing oracle 7","expected":{"delay_tenths":200,"los":"B","vc_milli":750},"passed":true}],"passed":true,"stderr":"","stdout":"{\"observations\": [{\"check\": \"timing oracle 0\", \"actual\": {\"vc_milli\": 666, \"delay_tenths\": 60, \"los\": \"A\"}, \"expected\": {\"vc_milli\": 666, \"delay_tenths\": 60, \"los\": \"A\"}, \"passed\": true}, {\"check\": \"timing oracle 1\", \"actual\": {\"vc_milli\": 1021, \"delay_tenths\": 135, \"los\": \"F\"}, \"expected\": {\"vc_milli\": 1021, \"delay_tenths\": 135, \"los\": \"F\"}, \"passed\": true}, {\"check\": \"timing oracle 2\", \"actual\": {\"vc_milli\": 1200, \"delay_tenths\": 485, \"los\": \"F\"}, \"expected\": {\"vc_milli\": 1200, \"delay_tenths\": 485, \"los\": \"F\"}, \"passed\": true}, {\"check\": \"timing oracle 3\", \"actual\": {\"vc_milli\": 1000, \"delay_tenths\": 250, \"los\": \"C\"}, \"expected\": {\"vc_milli\": 1000, \"delay_tenths\": 250, \"los\": \"C\"}, \"passed\": true}, {\"check\": \"timing oracle 4\", \"actual\": {\"vc_milli\": 1770, \"delay_tenths\": 130, \"los\": \"F\"}, \"expected\": {\"vc_milli\": 1770, \"delay_tenths\": 130, \"los\": \"F\"}, \"passed\": true}, {\"check\": \"timing oracle 5\", \"actual\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"C\"}, \"expected\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"C\"}, \"passed\": true}, {\"check\": \"timing oracle 6\", \"actual\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"C\"}, \"expected\": {\"vc_milli\": 1000, \"delay_tenths\": 350, \"los\": \"C\"}, \"passed\": true}, {\"check\": \"timing oracle 7\", \"actual\": {\"vc_milli\": 750, \"delay_tenths\": 200, \"los\": \"B\"}, \"expected\": {\"vc_milli\": 750, \"delay_tenths\": 200, \"los\": \"B\"}, \"passed\": true}], \"passed\": true}\n"}},"verified":true,"visibility":"public"}