How to use the osmnx.geo_utils.get_largest_component function in osmnx

for key, value in nodes_temp.items():
            nodes[key] = value
        for key, value in paths_temp.items():
            paths[key] = value

    # add each osm node to the graph
    for node, data in nodes.items():
        G.add_node(node, **data)

    # add each osm way (aka, path) to the graph
    G = add_paths(G, paths, bidirectional=bidirectional)

    # retain only the largest connected component, if caller did not
    # set retain_all=True
    if not retain_all:
        G = get_largest_component(G)

    log('Created graph with {:,} nodes and {:,} edges in {:,.2f} seconds'.format(len(list(G.nodes())), len(list(G.edges())), time.time()-start_time))

    # add length (great circle distance between nodes) attribute to each edge to
    # use as weight
    if len(G.edges) > 0:
        G = add_edge_lengths(G)

    return G

"""

    # get the shortest distance between the node and every other node, then
    # remove every node further than max_distance away
    start_time = time.time()
    G = G.copy()
    distances = nx.shortest_path_length(G, source=source_node, weight=weight)
    distant_nodes = {key:value for key, value in dict(distances).items() if value > max_distance}
    G.remove_nodes_from(distant_nodes.keys())
    log('Truncated graph by weighted network distance in {:,.2f} seconds'.format(time.time()-start_time))

    # remove any isolated nodes and retain only the largest component (if
    # retain_all is True)
    if not retain_all:
        G = remove_isolated_nodes(G)
        G = get_largest_component(G)

    return G

gdf_nodes.crs = G.graph['crs']

    # find all the nodes in the graph that lie outside the polygon
    points_within_geometry = intersect_index_quadrats(gdf_nodes, polygon, quadrat_width=quadrat_width, min_num=min_num, buffer_amount=buffer_amount)
    nodes_outside_polygon = gdf_nodes[~gdf_nodes.index.isin(points_within_geometry.index)]

    # now remove from the graph all those nodes that lie outside the place
    # polygon
    start_time = time.time()
    G.remove_nodes_from(nodes_outside_polygon['node'])
    log('Removed {:,} nodes outside polygon in {:,.2f} seconds'.format(len(nodes_outside_polygon), time.time()-start_time))

    # remove any isolated nodes and retain only the largest component (if retain_all is False)
    if not retain_all:
        G = remove_isolated_nodes(G)
        G = get_largest_component(G)

    return G

any_neighbors_in_bbox = True
                        break

                # if none of its neighbors are within the bounding box, add node
                # to list of nodes outside the bounding box
                if not any_neighbors_in_bbox:
                    nodes_outside_bbox.append(node)

    G.remove_nodes_from(nodes_outside_bbox)
    log('Truncated graph by bounding box in {:,.2f} seconds'.format(time.time()-start_time))

    # remove any isolated nodes and retain only the largest component (if
    # retain_all is True)
    if not retain_all:
        G = remove_isolated_nodes(G)
        G = get_largest_component(G)

    return G