code: def adjust_width_groups_comp(widths: list, groups: list):
      """Adjusts the compatibility of widths and groups."""
      groups = [min(g, w_bot) for g, w_bot in zip(groups, widths)]
      # Adjust w to an integral multiple of g
      widths = [int(round(w / g) * g) for w, g in zip(widths, groups)]
      return widths, groups
  
imports: from typing import Optional
  import numpy
  import torch
  import torch.nn
  from torch import Tensor
label_desc: Use image node_id 4 for calling a global function with example usage: adjust_width_groups_comp(widths, groups) and returns: widths,  groups