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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 _preprocess_and_rename_grid_attrs(func, grid_attrs=None, **kwargs):
 """Call a custom preprocessing method first then rename grid attrs. This wrapper is needed to generate a single function to pass to the ``preprocesss`` of xr.open_mfdataset. It makes sure that the user-specified preprocess function is called on the loaded Dataset before aospy's is applied. An example for why this might be needed is output from the WRF model; one needs to add a CF-compliant units attribute to the time coordinate of all input files, because it is not present by default. Parameters func : function An arbitrary function to call before calling ``grid_attrs_to_aospy_names`` in ``_load_data_from_disk``. Must take an xr.Dataset as an argument as well as ``**kwargs``. grid_attrs : dict (optional) Overriding dictionary of grid attributes mapping aospy internal names to names of grid attributes used in a particular model. Returns ------- function A function that calls the provided function ``func`` on the Dataset before calling ``grid_attrs_to_aospy_names``; this is meant to be passed as a ``preprocess`` argument to ``xr.open_mfdataset``. """


    def func_wrapper(ds):
        return grid_attrs_to_aospy_names(func(ds, **kwargs), grid_attrs)
    return func_wrapper