import numpy as np

rslt_binomial_0 = np.array([0,6.618737,0.004032037,0.01433665,0.01265635,0.006173346,0.01067706])

rslt_binomial_1 = np.array([0,1.029661,0.02180239,0.07769613,0.06756466,0.03156418,0.05851878])

rslt_binomial_2 = np.array([0,0.1601819,0.07111087,0.2544921,0.2110318,0.08577924,0.1984383])

rslt_binomial_3 = np.array([0.5,0.05343991,0.004990061,0.2838563,0.2167881,0.02370156,0.2096612])

rslt_binomial_4 = np.array([0.5,0.02313286,0.0708914,0.3791042,0.2938332,0.07506391,0.2982251])

rslt_binomial_5 = np.array([0.5,0.009124078,0.106681,0.4327268,0.3362166,0.1019452,0.3479955])

rslt_binomial_6 = np.array([1,0.02932512,0,0.3085764,0.2300801,0.01143652,0.2291531])

rslt_binomial_7 = np.array([1,0.01269414,0.07022348,0.396642,0.3044255,0.07151663,0.31301])

rslt_binomial_8 = np.array([1,0.005494992,0.1049623,0.4385186,0.3391729,0.09907393,0.3527401])

rslt_poisson_0 = np.array([0,23.5349,0.009251658,0.003730997,0.01266164,0.003439135,0.0141719])

rslt_poisson_1 = np.array([0,3.661269,0.04842557,0.02095708,0.06550316,0.02029514,0.07300782])

rslt_poisson_2 = np.array([0,0.5695749,0.1440462,0.07208017,0.182649,0.07511376,0.2018242])

rslt_poisson_3 = np.array([0.5,0.1577593,0.1247603,0.02857521,0.185693,0.03840622,0.2200925])

rslt_poisson_4 = np.array([0.5,0.05669575,0.187629,0.08842012,0.2348627,0.09736964,0.2628845])

rslt_poisson_5 = np.array([0.5,0.0185653,0.2118078,0.1121067,0.2534181,0.1204543,0.2784761])

rslt_poisson_6 = np.array([1,0.07887965,0.1339927,0.0322772,0.1969884,0.0439019,0.2339252])

rslt_poisson_7 = np.array([1,0.02834788,0.1927163,0.09160406,0.2398164,0.1010126,0.2682158])

rslt_poisson_8 = np.array([1,0.0101877,0.2126847,0.1123439,0.2544153,0.1208601,0.2796794])