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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 missing_any(da, freq, **kwds):
 r"""Return a boolean DataArray indicating whether there are missing days in the resampled array. Parameters da : DataArray Input array at daily frequency. freq : str Resampling frequency. Returns ------- out : DataArray A boolean array set to True if any month or year has missing values. """

    c = da.notnull().resample(time=freq).sum(dim='time')

    if '-' in freq:
        pfreq, anchor = freq.split('-')
    else:
        pfreq = freq

    if pfreq.endswith('S'):
        start_time = c.indexes['time']
        end_time = start_time.shift(1, freq=freq)
    else:
        end_time = c.indexes['time']
        start_time = end_time.shift(-1, freq=freq)

    n = (end_time - start_time).days
    nda = xr.DataArray(n.values, coords={'time': c.time}, dims='time')
    return c != nda