from sys import argv
#import os
#import pickle
#import pandas as pd
#import random
#trans = float(argv[1])
#kmeans = pickle.load(open(os.path.abspath(os.curdir) + '/data_tables/clustering_model.sav', 'rb'))
#div = random.randint(1, 10)
#pred = pd.DataFrame([trans], columns=['Transaction Amount'])
#pred['1'] = 0
#pred['2'] = 0
#pred['3'] = 0
##pred['4'] = 0
#pred['5'] = 0
#pred['6'] = 0
#pred['7'] = 0
#pred['8'] = 0
#pred['9'] = 0
#pred[str(div)] = 1
#result = kmeans.predict(pred)
#col = 'clust_' + str(result)
#print(col)
print('cluster_0')