import numpy as np
from numpy.fft import fft
from numpy.fft import ifft
from sklearn.cluster import KMeans

g = KMeans(n_clusters=10)
#data = np.random.normal(0,1,1000)
t = np.linspace(0,10,1000)
yt = np.sin(t)
g.fit(yt.reshape(-1,10))

while True:
    y = np.random.normal(0,1,10)
    g.predict(y)