age = np.array([18, 20, 17, 43, 53, 19, 23, 31, 39, 32, 23, 54, 25, 27, 23, 24, 21, 17, 27, 30, 57, 19, 26, 24, 22, 30, 25, 29, 31, 33, 29, 51, 33, 24, 24, 24, 25, 35, 30, 31, 26, 23, 23, 23, 40, 39, 17, 37, 33, 23, 27, 25, 31, 28, 29, 28, 23, 23, 42, 35, 26, 20, 24, 25, 49, 27, 26, 26, 54, 22, 20, 20, 21, 25, 33, 31, 30, 37, 21, 38, 36, 22, 18, 19, 35, 26, 23, 29, 32, 27, 28, 24, 33, 50, 30, 24, 39, 25, 19, 46, 32, 26, 27, 29, 24, 48, 20, 27, 28, 37, 45, 20, 28, 21, 27, 27, 26, 23, 22, 22, 30, 31, 37, 27, 25, 26, 39, 52, 27, 39, 30, 31, 40, 48, 23, 28, 28, 28, 39, 23, 22, 29, 19, 22, 20, 21, 36, 22, 27, 27, 26, 37, 27, 24, 30, 23, 28, 21, 27, 24, 25, 25, 29, 22, 32, 29, 25, 26, 25, 42, 39, 23, 23, 29, 33, 39, 33, 23, 44, 24, 30, 29, 27, 36, 24, 28, 19, 34, 40, 30, 42, 28, 25, 29, 31, 30, 27, 45, 25, 25, 35, 50, 27, 26, 18, 30, 32, 24, 27, 28, 27, 25, 22, 29, 27, 34, 35, 22, 34, 30, 30, 24, 23], dtype=np.float64)

income = np.array([2000, 3562.5, 8840, 600, 250, 2800, 3000, 2500, 720, 360, 240, 1428.597194, 2137.5, 900, 2700, 1500, 1890, 750, 150, 9900, 1080, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 2000, 4000, 4500, 800, 5000, 10000, 10000, 10000, 2300, 3000, 2400, 10000, 5000, 6000, 425, 9120, 4000, 4000, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 500, 4750, 5000, 750, 10000, 2500, 2500, 3206.25, 1875, 1250, 1500, 2000, 2137.5, 4500, 900, 2500, 3000, 2850, 1750, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 12000, 2400, 6000, 10800, 14400, 3000, 9000, 6000, 2565, 3750, 4500, 3000, 1200, 59670, 1282.5, 855, 3000, 8100, 10800, 3600, 10800, 1620, 7200, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1400, 5985, 7000, 3500, 1260, 1428.597194, 1428.597194, 1428.597194, 1600, 3840, 7200, 7200, 8000, 3990, 16000, 6800, 3600, 4320, 570, 8000, 2880, 7410, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 6480, 2868.75, 1428.597194, 13500, 900, 3600, 16200, 36000, 7500, 2700, 23400, 500, 7500, 1800, 12000, 3600, 5000, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 1428.597194, 9350, 1980, 1428.597194, 8640, 6000, 12825, 2160, 11880, 5400, 1428.597194, 44100, 5040, 16800, 16800, 1428.597194, 2700, 21375, 11520, 2400, 23040, 11520, 1920, 28800, 4320, 32400, 24300, 13500, 6840, 1428.597194, 4000, 36000, 21600, 18525, 8400, 11400, 15000, 15000, 27000, 9000, 24000, 1428.597194, 1428.597194, 1428.597194, 13200, 48875, 19440, 21600, 11520, 21600, 1428.597194, 6750, 25200, 26880, 36000, 1428.597194, 48000, 9600, 1428.597194, 1428.597194], dtype=np.float64)

bmi = np.array([17.48378028, 12.55093468, 18.30295858, 24.32525952, 36.91451376, 21.52040816, 31.61420118, 25.8244898, 24.32525952, 22.04476644, 28.05503046, 29.68192907, 24.40972222, 25.68279164, 25.74462891, 25.05680552, 14.23900463, 18.28824142, 23.01031541, 17.94813222, 28.69387755, 18.5978836, 27.99342105, 19.57562932, 44.28067523, 21.52040816, 19.73754883, 18.30295858, 20.6721277, 31.61420118, 39.15125863, 20.59570313, 23.17016602, 20.79881657, 20.79881657, 24.20798898, 31.88208617, 26.62878788, 44.28067523, 28.34677419, 18.55945822, 26.62285587, 26.6057526, 20.36911061, 23.05362654, 41.19140625, 16.59861111, 25.60353798, 28.18890622, 21.28460208, 15.66050345, 34.32617188, 24.34210526, 31.92690311, 44.62402344, 33.89118457, 21.25472411, 30.99647266, 25.84015963, 20.34143519, 24.27378035, 26.6027832, 26.62248521, 18.25657895, 25.01492195, 18.55945822, 27.36591696, 21.92470483, 27.45401864, 21.41041798, 23.49075518, 25.05680552, 21.9458897, 20.35865449, 20.35865449, 26.6027832, 18.5978836, 22.70773001, 27.43572084, 24.68912591, 22.46272189, 20.35865449, 16.45941727, 24.20798898, 25.74462891, 23.17016602, 29.95029586, 21.63076923, 18.65102041, 22.14870825, 19.13491124, 28.3190918, 27.31674018, 20.35865449, 20.22118627, 17.75252525, 17.93367347, 19.36639118, 20.35865449, 18.02124023, 46.98151036, 35.50505051, 25.84558824, 24.40514168, 25.74462891, 18.00957897, 30.68042055, 33.90239198, 18.89277076, 21.92470483, 28.33963215, 25.38611111, 39.04780797, 19.19554715, 26.62248521, 18.55945822, 21.25472411, 26.6027832, 24.68912591, 24.68912591, 20.11706556, 37.10277778, 22.45694444, 12.53237005, 19.96686391, 21.52040816, 31.61420118, 26.57844991, 21.25472411, 21.25472411, 22.46272189, 22.59412305, 21.28460208, 22.95510204, 29.26118626, 23.02595112, 27.7031338, 23.17016602, 20.52443772, 17.2265538, 18.28824142, 19.19554715, 24.40487998, 18.28824142, 22.70773001, 17.43205713, 25.84558824, 16.45941727, 21.52040816, 22.86030177, 25.8398307, 25.08542388, 19.12835429, 21.52040816, 34.00698737, 23.29467456, 31.00819156, 23.17016602, 30.66345271, 25.82185491, 15.06428571, 19.004109, 41.19140625, 22.496, 22.46621622, 19.73754883, 20.35865449, 20.35865449, 18.79260414, 20.11706556, 25.8398307, 24.20798898, 20.52443772, 22.95510204, 20.80306122, 23.12088889, 21.9458897, 21.45385742, 21.28460208, 21.14167966, 18.65102041, 18.45725688, 19.52777778, 24.02832031, 21.72668637, 20.79881657, 19.19554715, 22.45694444, 17.93367347, 21.25472411, 22.14033762, 18.5978836, 21.63076923, 27.36591696, 21.9458897, 17.16308594, 22.70773001, 22.8049308, 19.93383743, 17.75252525, 19.4834971, 19.36836735, 18.55945822, 17.71227009, 19.93383743, 19.96686391, 17.75252525, 18.24394464, 17.71227009, 19.004109, 23.17016602, 20.80306122, 24.02832031, 23.02595112, 27.43236212, 20.08571429, 20.52443772, 15.96345156, 18.87939453, 20.11706556, 17.75252525, 22.88699853, 23.42442359])

iswhite = np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], dtype=np.float64)

hourly = np.array([50, 47.5, 34, 37.5, 50, 80, 100, 100, 90, 90, 80, 95, 142.5, 150, 135, 150, 135, 150, 150, 112.5, 135, 142.5, 150, 120, 150, 120, 150, 150, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 170, 190, 200, 200, 200, 180, 200, 160, 200, 180, 190, 200, 250, 250, 250, 250, 250, 250, 250, 237.5, 250, 250, 250, 250, 237.5, 225, 225, 250, 200, 237.5, 250, 250, 250, 225, 250, 300, 300, 300, 300, 240, 300, 300, 300, 285, 300, 300, 300, 300, 204, 285, 285, 300, 270, 270, 300, 270, 270, 225, 300, 225, 300, 300, 300, 300, 240, 240, 350, 332.5, 350, 350, 315, 332.5, 350, 315, 400, 320, 360, 360, 400, 380, 400, 400, 360, 360, 380, 400, 360, 380, 360, 380, 340, 400, 400, 400, 400, 360, 382.5, 405, 450, 450, 450, 450, 400, 500, 450, 450, 500, 500, 450, 375, 450, 500, 475, 450, 475, 500, 450, 350, 475, 450, 450, 475, 467.5, 495, 522.5, 540, 600, 570, 540, 540, 540, 650, 630, 560, 525, 560, 560, 675, 712.5, 640, 800, 480, 720, 640, 640, 720, 810, 810, 675, 855, 712.5, 1000, 900, 900, 950, 700, 950, 750, 750, 900, 900, 800, 800, 900, 892.5, 825, 977.5, 1080, 900, 960, 1080, 1080, 1125, 1260, 1120, 1200, 1125, 1600, 1200, 1600, 1200])