class_docstr: Multiscale radius search for dense graphs
      
docstr: Dense interface of the neighboorhood finder
          
docstr_tok: ["Dense","interface","of","the","neighboorhood","finder"]
code: def __call__(self, x, y, scale_idx=0, **kwargs):
      """Dense interface of the neighboorhood finder"""
      return self.find_neighbours(x, y, scale_idx)
  
imports: from abc import ABC, abstractmethod
  from typing import List, Union, cast
  import torch
  from torch_geometric.nn import knn, radius
  import torch_points_kernels
  from torch_points3d.utils.config import is_list
  from torch_points3d.utils.enums import ConvolutionFormat
  from torch_points3d.utils.debugging_vars import DEBUGGING_VARS, DistributionNeighbour
label_desc: Use image node_id 2 for calling the DenseRadiusNeighbourFinder obj's underlying member method code with example usage: obj.__call__(x, y, scale_idx) and returns: self