PGO-HPG-mass-predictor_2

f = open('Digest.txt', 'r' ) data = f.readlines() list_1=[] list_2 = [] list_3 = [] list_4 = [] list_5 = []

f.close()

for line in data: line = line.strip().split() list_1.append(float(line[0])) list_2.append(line[1])

f1 = open('Modifications.txt', 'r' ) data1 = f1.readlines() list_3=[] list_4 = []

for line in data1: line = line.strip().split() list_4.append(float(line[1])) list_3.append(line[0])

f_out = open('After_modification.txt', 'w' ) for i in range(len(list_2)): a = float(list_2[i].count('R'))

if a >= 1.0:
    for j in range(len(list_4)):
        b1 = float(list_1[i] + list_4[j])
        f_out.write("%f\t%s\t%f\t%s\t\n" % (list_1[i], list_2[i], b1, list_3[j]) )
    
if a >= 2.0:
    for j in range(len(list_4)):
        for h in range(len(list_4)):
            b11 = float(list_1[i] + list_4[j] + list_4[h])
            
            f_out.write("%f\t%s\t%f\t%s%s\t\n" % (list_1[i], list_2[i], b11,list_3[j], list_3[h]) )
    
if a >= 3.0:
    for j in range(len(list_4)):
        for h in range(len(list_4)):
            for k in range(len(list_4)):
                b2 = float(list_1[i] + list_4[j] + list_4[h] + list_4[k])
            
                f_out.write("%f\t%s\t%f\t%s%s%s\t\n" % (list_1[i],list_2[i],b2,list_3[j],list_3[h],list_3[k]) )

f_out.close()