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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def smooth_hanning(x, size=11):
 """smooth a 1D array using a hanning window with requested size."""


    if x.ndim != 1:
        raise ValueError, "smooth_hanning only accepts 1-D arrays."
    if x.size < size:
        raise ValueError, "Input vector needs to be bigger than window size."
    if size < 3:
        return x

    s = np.r_[x[size - 1:0:-1], x, x[-1:-size:-1]]
    w = np.hanning(size)
    y = np.convolve(w / w.sum(), s, mode='valid')
    return y