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 signal_handler_mapping(self):
        """A dict mapping (signal number) -> (a method handling the signal)."""
        # Could use an enum here, but we never end up doing any matching on the specific signal value,
        # instead just iterating over the registered signals to set handlers, so a dict is probably
        # better.
        return {
            signal.SIGINT: self._handle_sigint_if_enabled,
            signal.SIGQUIT: self.handle_sigquit,
            signal.SIGTERM: self.handle_sigterm,
        }