0ee3c26c470c57bd5516a7f936b2d8991835da26,arviz/data/io_dict.py,DictConverter,predictions_to_xarray,#DictConverter#,98

Before Change

        if not isinstance(data, dict):
            raise TypeError("DictConverter.predictions is not a dictionary")

        return dict_to_dataset(data, library=None, coords=self.coords, dims=self.dims)

    @requires("prior")
    def prior_to_xarray(self):
        Convert prior samples to xarray.

After Change

    def predictions_to_xarray(self):
        Convert predictions to xarray.
        data = self.predictions
        data_warmup = self.warmup_predictions if self.warmup_predictions is not None else {}
        if not isinstance(data, dict):
            raise TypeError("DictConverter.predictions is not a dictionary")
        if not isinstance(data_warmup, dict):
            raise TypeError("DictConverter.warmup_predictions is not a dictionary")

        return (
            dict_to_dataset(
                data, library=None, coords=self.coords, dims=self.pred_dims, attrs=self.attrs
            ),
            dict_to_dataset(
                data_warmup, library=None, coords=self.coords, dims=self.pred_dims, attrs=self.attrs
            ),
        )

    @requires("prior")
    def prior_to_xarray(self):
        Convert prior samples to xarray.

Instances