def test_not_set_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(asarray(sparse.random(20, 20))))
    init_hash = joblib.hash(adata)
    orig_X_val = adata.X.copy()
    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.X.shape[1])), subset.var_names
    )
    assert subset.is_view
    subset.X[:, internal_idx] = 1
    assert not subset.is_view
    assert not np.any(asarray(adata.X != orig_X_val))

    assert init_hash == joblib.hash(adata)
def _format_unhandled_exception_log(cls, exc, tb, add_newline, should_print_backtrace):
        exc_type = type(exc)
        exception_full_name = "{}.{}".format(exc_type.__module__, exc_type.__name__)
        exception_message = str(exc) if exc else "(no message)"
        maybe_newline = "\n" if add_newline else ""
        return cls._UNHANDLED_EXCEPTION_LOG_FORMAT.format(
            exception_type=exception_full_name,
            backtrace=cls._format_traceback(
                traceback_lines=traceback.format_tb(tb),
                should_print_backtrace=should_print_backtrace,
            ),
            exception_message=exception_message,
            maybe_newline=maybe_newline,
        )