import numpy as np
from sklearn.svm import SVC
import json
import csv
import sys
data = json.loads(sys.argv[1])
ans = json.loads(sys.argv[2])
cl = SVC(kernel='linear')
cl.fit(data, ans)
print(json.dumps({'blocks_coeffs': list(cl.coef_[0]), 'shift_coeff': cl.
    intercept_[0]}))

50f85f3d4f4757572ddd0328f799667f7141d23a
<mask token>

<mask token>
cl.fit(data, ans)
print(json.dumps({'blocks_coeffs': list(cl.coef_[0]), 'shift_coeff': cl.
    intercept_[0]}))

<mask token>
data = json.loads(sys.argv[1])
ans = json.loads(sys.argv[2])
cl = SVC(kernel='linear')
cl.fit(data, ans)
print(json.dumps({'blocks_coeffs': list(cl.coef_[0]), 'shift_coeff': cl.
    intercept_[0]}))

import numpy as np
from sklearn.svm import SVC
import json
import csv
import sys
data = json.loads(sys.argv[1])
ans = json.loads(sys.argv[2])
cl = SVC(kernel='linear')
cl.fit(data, ans)
print(json.dumps({'blocks_coeffs': list(cl.coef_[0]), 'shift_coeff': cl.
    intercept_[0]}))
