code: def expand_objects(
      new_particles: list,
      x_list: list,
      neighborhoods: dict,
      rev_neighborhoods: dict,
      k_dist: dict,
      reach_dist: dict,
      dist_dict: dict,
      local_reach: dict,
      lof: dict,
  ):
      """
      Expand size of dictionaries and lists to take into account new data points.
      """
      n = len(x_list)
      m = len(new_particles)
      x_list.extend(new_particles)
      neighborhoods.update({i: [] for i in range(n + m)})
      rev_neighborhoods.update({i: [] for i in range(n + m)})
      k_dist.update({i: float("inf") for i in range(n + m)})
      reach_dist.update({i + n: {} for i in range(m)})
      dist_dict.update({i + n: {} for i in range(m)})
      local_reach.update({i + n: [] for i in range(m)})
      lof.update({i + n: [] for i in range(m)})
      return (
          (n, m),
          x_list,
          neighborhoods,
          rev_neighborhoods,
          k_dist,
          reach_dist,
          dist_dict,
          local_reach,
          lof,
      )
  
imports: from __future__ import annotations
  import copy
  import functools
  import pandas
  from river import anomaly, utils
  from river.neighbors.base import DistanceFunc
label_desc: Use image node_id 2 for calling a global function with example usage: expand_objects(new_particles, x_list, neighborhoods, rev_neighborhoods, k_dist, reach_dist, dist_dict, local_reach, lof) and returns: n,  m,  x_list,  neighborhoods,  rev_neighborhoods,  k_dist,  reach_dist,  dist_dict,  local_reach,  lof