89a87efd655e08a1e58e7d23eb1fde3400ecf694,arviz/data/io_dict.py,DictConverter,posterior_predictive_to_xarray,#DictConverter#,145

Before Change

    @requires("posterior_predictive")
    def posterior_predictive_to_xarray(self):
        Convert posterior_predictive samples to xarray.
        data = self.posterior_predictive
        data_warmup = (
            self.warmup_posterior_predictive if self.warmup_posterior_predictive is not None else {}
        )
        if not isinstance(data, dict):
            raise TypeError("DictConverter.posterior_predictive is not a dictionary")
        if not isinstance(data_warmup, dict):
            raise TypeError("DictConverter.warmup_posterior_predictive is not a dictionary")

After Change

        )

    @requires(["posterior_predictive", f"{WARMUP_TAG}posterior_predictive"])
    def posterior_predictive_to_xarray(self):
        Convert posterior_predictive samples to xarray.
        data = self._init_dict("posterior_predictive")
        data_warmup = self._init_dict(f"{WARMUP_TAG}posterior_predictive")
        if not isinstance(data, dict):
            raise TypeError("DictConverter.posterior_predictive is not a dictionary")
        if not isinstance(data_warmup, dict):
            raise TypeError("DictConverter.warmup_posterior_predictive is not a dictionary")

Instances