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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 truncate_impulse(impulse, ntaps, window='hanning'):
 """Smoothly truncate a time domain impulse response Parameters impulse : `numpy.ndarray` the impulse response to start from ntaps : `int` number of taps in the final filter window : `str`, `numpy.ndarray`, optional window function to truncate with, default: ``'hanning'`` see :func:`scipy.signal.get_window` for details on acceptable formats Returns ------- out : `numpy.ndarray` the smoothly truncated impulse response """

    out = impulse.copy()
    trunc_start = int(ntaps / 2)
    trunc_stop = out.size - trunc_start
    window = signal.get_window(window, ntaps)
    out[0:trunc_start] *= window[trunc_start:ntaps]
    out[trunc_stop:out.size] *= window[0:trunc_start]
    out[trunc_start:trunc_stop] = 0
    return out