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 _prepare_streams(self) -> None:
        if self._write_stream is not None:
            return
        if self.filename:
            filepath = os.path.join(self.dirpath, self._prepare_filename())
            fs = get_filesystem(filepath)
            file = fs.open(filepath, "a")
            self._output_file = file
            self._write_stream = file.write
        else:
            self._write_stream = self._rank_zero_info