Visits a node, updating workflow, seen, and fringe..

        :param node_id:
            Node id to visit.
        :type node_id: str

        :param dist:
            Distance from the starting node.
        :type dist: float, int

        :param fringe:
            Heapq of closest available nodes.
        :type fringe: list[(float | int, bool, (str, Dispatcher)]

        :param check_cutoff:
            Check the cutoff limit.
        :type check_cutoff: (int | float) -> bool

        :param no_call:
            If True data node estimation function is not used.
        :type no_call: bool, optional

        :return:
            False if all dispatcher targets have been reached, otherwise True.
        :rtype: bool

def _visit_nodes(self, node_id, dist, fringe, check_cutoff, no_call=False,
                     **kw):
        """
        Visits a node, updating workflow, seen, and fringe..

        :param node_id:
            Node id to visit.
        :type node_id: str

        :param dist:
            Distance from the starting node.
        :type dist: float, int

        :param fringe:
            Heapq of closest available nodes.
        :type fringe: list[(float | int, bool, (str, Dispatcher)]

        :param check_cutoff:
            Check the cutoff limit.
        :type check_cutoff: (int | float) -> bool

        :param no_call:
            If True data node estimation function is not used.
        :type no_call: bool, optional

        :return:
            False if all dispatcher targets have been reached, otherwise True.
        :rtype: bool
        """

        # Namespace shortcuts.
        wf_rm_edge, wf_has_edge = self._wf_remove_edge, self.workflow.has_edge
        edge_weight, nodes = self._edge_length, self.nodes

        self.dist[node_id] = dist  # Set minimum dist.

        self._visited.add(node_id)  # Update visited nodes.

        if not self._set_node_output(node_id, no_call, **kw):  # Set output.
            # Some error occurs or inputs are not in the function domain.
            return True

        if self.check_targets(node_id):  # Check if the targets are satisfied.
            return False  # Stop loop.

        for w, e_data in self.dmap[node_id].items():
            if not wf_has_edge(node_id, w):  # Check wildcard option.
                continue

            node = nodes[w]  # Get node attributes.

            vw_d = dist + edge_weight(e_data, node)  # Evaluate dist.

            if check_cutoff(vw_d):  # Check the cutoff limit.
                wf_rm_edge(node_id, w)  # Remove edge that cannot be see.
                continue

            if node['type'] == 'dispatcher':
                self._set_sub_dsp_node_input(
                    node_id, w, fringe, check_cutoff, no_call, vw_d)

            else:  # See the node.
                self._see_node(w, fringe, vw_d)

        return True