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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_dict(self, data=True):
 """ Convert this dataset to a dictionary following xarray naming conventions. Converts all variables and attributes to native Python objects Useful for coverting to json. To avoid datetime incompatibility use decode_times=False kwarg in xarrray.open_dataset. Parameters data : bool, optional Whether to include the actual data in the dictionary. When set to False, returns just the schema. See also -------- Dataset.from_dict """

        d = {'coords': {}, 'attrs': decode_numpy_dict_values(self.attrs),
             'dims': dict(self.dims), 'data_vars': {}}
        for k in self.coords:
            d['coords'].update({k: self[k].variable.to_dict(data=data)})
        for k in self.data_vars:
            d['data_vars'].update({k: self[k].variable.to_dict(data=data)})
        return d