def test_view_mixin_copies_data(adata, array_type: type, attr):
    N = 100
    adata = ad.AnnData(
        obs=pd.DataFrame(index=np.arange(N)), var=pd.DataFrame(index=np.arange(N))
    )

    X = array_type(sparse.eye(N, N).multiply(np.arange(1, N + 1)))
    if attr == "X":
        adata.X = X
    else:
        getattr(adata, attr)["arr"] = X

    view = adata[:50]

    if attr == "X":
        arr_view = view.X
    else:
        arr_view = getattr(view, attr)["arr"]

    arr_view_copy = arr_view.copy()

    if sparse.issparse(X):
        assert not np.shares_memory(arr_view.indices, arr_view_copy.indices)
        assert not np.shares_memory(arr_view.indptr, arr_view_copy.indptr)
        assert not np.shares_memory(arr_view.data, arr_view_copy.data)

        arr_view_copy.data[0] = -5
        assert not np.array_equal(arr_view_copy.data, arr_view.data)
    else:
        assert not np.shares_memory(arr_view, arr_view_copy)

        arr_view_copy[0, 0] = -5
        assert not np.array_equal(arr_view_copy, arr_view)
def _execute_rpc_implementor_background(self, context, audit_name, target,
                                           response_queue, args, kwargs):
        """
        Honor a remote procedure call request from a plugin,
        from a background thread. Must only be used as the entry
        point for said background thread!

        :param context: Plugin execution context.
        :type context: PluginContext

        :param audit_name: Name of the audit requesting the call.
        :type audit_name: str

        :param target: RPC implementor function.
        :type target: callable

        :param response_queue: Response queue identity.
        :type response_queue: str

        :param args: Positional arguments to the call.
        :type args: tuple

        :param kwargs: Keyword arguments to the call.
        :type kwargs: dict
        """
        Config._context = context
        self.execute_rpc_implementor(
            audit_name, target, response_queue, args, kwargs)