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 paged_search(self, **kwargs):
                self.connection.search(search_base=kwargs.get("search_base"),
                                       search_scope=kwargs.get("search_scope"),
                                       search_filter=kwargs.get(
                                           "search_filter"),
                                       attributes=kwargs.get("attributes"),
                                       paged_size=kwargs.get("page_size"),
                                       size_limit=kwargs.get("size_limit"),
                                       paged_cookie=None)
                result = self.connection.response
                if kwargs.get("generator", False):
                    # If ``generator=True`` is passed, ``paged_search`` should return an iterator.
                    result = iter(result)
                return result