import matplotlib.pyplot as mpl
import numpy as np
from scipy import signal
f_sig = list(map(float, input().split(" ")))
f_sig = list(map(float, f_sig))
f_sig = np.fft.fft(f_sig)
b, a = signal.butter(3, 0.05)
zi = signal.lfilter_zi(b, a)
zi = zi * int(f_sig[0])
av_sig, _ = signal.lfilter(b, a,f_sig,-1,zi)
zi=zi*int(av_sig[0])
av_sig2, _ = signal.lfilter(b,a,av_sig,-1,zi)
av_sig2 = list(map(float, av_sig2))
for i in range(len(av_sig2)):
      if (av_sig2[i] < 0):
            av_sig2[i] = 0 - abs(av_sig2[i])
      else:
            av_sig2[i] = abs(av_sig2[i])
mpl.plot(av_sig2)
mpl.show()