def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
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