code: def test_aps_try_add(scale):
      k = 10
      aps = ApproxSet(scale)
      a = torch.rand(k) * scale * 0.49
      b = torch.rand(k) * scale * 0.49
      c = scale + torch.rand(k) * scale * 0.49
      d = scale + torch.rand(k) * scale * 0.49
  
      assert_equal(aps.try_add(a), True)
      assert_equal(aps.try_add(b), False)
      assert_equal(aps.try_add(c), True)
      assert_equal(aps.try_add(d), False)
  
file_path: pyro/tests/contrib/tracking/test_hashing.py
imports: import logging
  import pytest
  import torch
  from pyro.contrib.tracking.hashing import LSH, ApproxSet, merge_points
  from tests.common import assert_equal
label_desc: Use image node_id 8 for calling a global function with example usage: test_aps_try_add(scale) without return types