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 __init__(self, radius):
      if not (isinstance(radius, Number) and radius > 0):
          raise ValueError(
              "radius must be float greater than 0, given: {}".format(
                  radius
              )
          )
      self._radius = radius
      self._bins = set()
  
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 1 to create a new ApproxSet object  with example: obj = ApproxSet(radius)