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 test_telemetry_run_organizing_init(runner, live_mock_server, parse_ctx):
    with runner.isolated_filesystem():
        wandb.init(name="test_name", tags=["my-tag"], config={"abc": 123}, id="mynewid")
        wandb.finish()

        ctx_util = parse_ctx(live_mock_server.get_ctx())
        telemetry = ctx_util.telemetry

        assert telemetry and 13 in telemetry.get("3", [])  # name
        assert telemetry and 14 in telemetry.get("3", [])  # id
        assert telemetry and 15 in telemetry.get("3", [])  # tags
        assert telemetry and 16 in telemetry.get("3", [])  # config