def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
def save(self, *args, **kwargs):
        # Get all other primary domains with the same tenant
        domain_list = self.__class__.objects.filter(tenant=self.tenant, is_primary=True).exclude(pk=self.pk)
        # If we have no primary domain yet, set as primary domain by default
        self.is_primary = self.is_primary or (not domain_list.exists())
        if self.is_primary:
            # Remove primary status of existing domains for tenant
            domain_list.update(is_primary=False)
        super().save(*args, **kwargs)