import matplotlib.pyplot as plt
import numpy as np
a = [

[1e6, '0.000', '0.000', '0.000', '0.300', '0.200', '0.250', '0.000', '0.000'],
[5e6, '0.200', '0.100', '0.200', '2.000', '1.800', '4.300', '0.200', '3.400'],
[1e7, '1.400', '1.350', '1.500', '4.000', '3.500', '4.750', '0.600', '7.750'],
[5e7, '7.450', '6.700', '8.100', '13.900', '11.950', '37.550', '2.350', '38.200'],
[1e8, '13.900', '13.150', '13.600', '15.300', '13.600', '100.200', '2.900', '75.300'],
[5e8, '81.100', '76.600', '74.350', '82.200', '75.150', '385.000', '14.600', '377.600'],
[1e9, '172.500', '166.250', '163.900', '127.100', '117.100', '686.450', '35.100', '808.800'],
[5e9, '1228.550', '1208.650', '1048.350', '532.850', '508.050', '2317.350', '127.750', '3998.350'],
[1e10,'2577.050', '2533.500', '2415.700', '922.000', '892.750', '3702.750', '298.550', '8060.550'],
[5e10, '15281.650', '15105.350', '12339.050', '4593.650', '4418.700', '16350.150', '1266.350', '40414.250'],
[1e11, '32127.000', '31768.100', '24630.650', '8223.350', '8152.700', '32005.850', '2425.700', '81039.750'],
[5e11, '249427.000', '248249.333', '124935.833', '39844.500', '39466.167', '138008.000', '11864.500', '402842.250']

]

def get_i(x):
    return np.array([(i[0], float(i[x + 1])) for i in a if len(i) > x  + 1])

[1e9,          '172.500',         '166.250',           '163.900',        '127.100',                   '117.100',                   '686.450',                     '35.100', '808.800'],
functions =  ["block_wise_256_f", "block_wise_256_f2", "boost_axpy_mul", "divide_and_conquer_block1", "divide_and_conquer_block2", "divide_and_conquer_naive_r3", "blas",   "naive_reordered"]

for i, f in list(enumerate(functions)):
    xy = get_i(i)
    plt.plot(xy[:,0], xy[:,1] / 1000., label=f)
    print(xy)
plt.legend()
plt.xscale("log")
plt.xlim((5e9, 1e12))
plt.show()


for i, f in list(enumerate(functions)):
    xy = get_i(i)
    xy_l = get_i(len(functions) - 1)
    plt.plot(xy[:,0], xy[:,1] / xy[:, 1], label=f)
    print(xy)
plt.legend()
plt.xscale("log")
plt.xlim((5e9, 1e12))
plt.show()