class_docstr: Queries low-dimensional euclidean space for approximate occupancy.
  
  
  :param float radius: scaling parameter used in hash function. Determines the size of the bin.
                       See :class:`LSH` for details.
code: def _hash(self, point):
      coords = (point / self._radius).round()
      return tuple(map(int, coords))
  
file_path: pyro/pyro/contrib/tracking/hashing.py
imports: import heapq
  import itertools
  from collections import defaultdict
  from numbers import Number
  import torch
label_desc: Use image node_id 2 for calling the ApproxSet obj's underlying member method code with example usage: obj._hash(point) and returns: tuple