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 describe(self) -> None:
        """Logs a profile report after the conclusion of run."""
        # there are pickling issues with open file handles in Python 3.6
        # so to avoid them, we open and close the files within this function
        # by calling `_prepare_streams` and `teardown`
        self._prepare_streams()
        summary = self.summary()
        if summary:
            self._write_stream(summary)
        if self._output_file is not None:
            self._output_file.flush()
        self.teardown(stage=self._stage)