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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 resample_to_delta_t(timeseries, delta_t, method='butterworth'):
 """Resmple the time_series to delta_t Resamples the TimeSeries instance time_series to the given time step, delta_t. Only powers of two and real valued time series are supported at this time. Additional restrictions may apply to particular filter methods. Parameters time_series: TimeSeries The time series to be resampled delta_t: float The desired time step Returns ------- Time Series: TimeSeries A TimeSeries that has been resampled to delta_t. Raises ------ TypeError: time_series is not an instance of TimeSeries. TypeError: time_series is not real valued Examples -------- """

    if not isinstance(timeseries,TimeSeries):
        raise TypeError("Can only resample time series")

    if timeseries.kind is not 'real':
        raise TypeError("Time series must be real")

    if timeseries.delta_t == delta_t:
        return timeseries * 1

    if method == 'butterworth':
        lal_data = timeseries.lal()
        _resample_func[timeseries.dtype](lal_data, delta_t)
        data = lal_data.data.data

    elif method == 'ldas':
        factor = int(delta_t / timeseries.delta_t)
        numtaps = factor * 20 + 1

        # The kaiser window has been testing using the LDAS implementation
        # and is in the same configuration as used in the original lalinspiral
        filter_coefficients = scipy.signal.firwin(numtaps, 1.0 / factor,
                                                  window=('kaiser', 5))

        # apply the filter and decimate
        data = fir_zero_filter(filter_coefficients, timeseries)[::factor]

    else:
        raise ValueError('Invalid resampling method: %s' % method)

    ts = TimeSeries(data, delta_t = delta_t,
                      dtype=timeseries.dtype,
                      epoch=timeseries._epoch)

    # From the construction of the LDAS FIR filter there will be 10 corrupted samples
    # explanation here http://software.ligo.org/docs/lalsuite/lal/group___resample_time_series__c.html
    ts.corrupted_samples = 10
    return ts