def get_stats_result(self, request):
        """Return the StatsResult object for this statistic"""
        stats_datasets = StatsMakerDataverses(**request.GET.dict())

        pub_state = self.get_pub_state(request)

        if pub_state == self.PUB_STATE_ALL:
            stats_result = stats_datasets.get_dataverse_affiliation_counts()
        elif pub_state == self.PUB_STATE_UNPUBLISHED:
            stats_result = stats_datasets.get_dataverse_affiliation_counts_unpublished()
        else:
            stats_result = stats_datasets.get_dataverse_affiliation_counts_published()

        return stats_result
def __getitem__(self, index):
        """Return example at given index.

        Args:
            index(int): The index of the example to retrieve

        Returns:
            tuple: A 3-tuple with ``(img1, img2, flow)``.
            The flow is a numpy array of shape (2, H, W) and the images are PIL images.
            ``flow`` is None if ``split="test"``.
            If a valid flow mask is generated within the ``transforms`` parameter,
            a 4-tuple with ``(img1, img2, flow, valid_flow_mask)`` is returned.
        """
        return super().__getitem__(index)