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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 to_netcdf(ds, *args, **kwargs):
 """ Store the given dataset as a netCDF file This functions works essentially the same as the usual :meth:`xarray.Dataset.to_netcdf` method but can also encode absolute time units Parameters ds: xarray.Dataset The dataset to store %(xarray.Dataset.to_netcdf.parameters)s """

    to_update = {}
    for v, obj in six.iteritems(ds.variables):
        units = obj.attrs.get('units', obj.encoding.get('units', None))
        if units == 'day as %Y%m%d.%f' and np.issubdtype(
                obj.dtype, np.datetime64):
            to_update[v] = xr.Variable(
                obj.dims, AbsoluteTimeEncoder(obj), attrs=obj.attrs.copy(),
                encoding=obj.encoding)
            to_update[v].attrs['units'] = units
    if to_update:
        ds = ds.copy()
        ds.update(to_update)
    return xarray_api.to_netcdf(ds, *args, **kwargs)