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for t in range(0,stream):
x = x0 + amplitude*np.cos(omega * t)
y = amplitude*np.cos(omega * t)*getobs(x,5,variance)
values = matrixpush(values, np.array([t,x,y]))
if np.all(np.isfinite(values[:,0])):
x0 = x0 + learnrate * sum( values[:,2] ) / inttime
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