nn.py

#!/usr/bin/python3

import random;

nodes = [3,3,4,4,4,1,1,1,1]
weights = []

def main():
    for i in nodes:
        for j in range(1, i+2):
            weights.append( random.random() )
    i1 = 1
    i2 = 1
    i3 = 1
    i4 = 1

    s5 = sig(5,[i1])
    s6 = sig(6,[i2])
    s7 = sig(7,[i3])
    s8 = sig(8,[i4])

    s2 = sig(2,[s5,s6,s7,s8])
    s3 = sig(3,[s5,s6,s7,s8])
    s4 = sig(4,[s5,s6,s7,s8])

    left = sig(0,[s2,s3,s4])
    right = sig(1,[s2,s3,s4])

    print( left,right )

def sig(n, attr):
    if 0 == n :
        sw = 0;
    else:
        sw = sum(i for i in nodes[:n]) + n

    ew = sw + nodes[n]
    total = 0;
    for i,w in enumerate(weights[sw:ew-1]) :
        total += w*attr[i]
    total += weights[ew]

    return 1 / ( 1 + len(attr)**total )

if "__main__" == __name__ :
    main()