code: def test_weighted_variance_with_close_numbers():
      """
  
      Origin of this test: https://github.com/online-ml/river/issues/732
  
      This test would fail if Var were implemented with a numerically unstable algorithm.
  
      """
  
      D = [
          (99.99999978143265, 6),
          (99.99999989071631, 8),
          (99.99999994535816, 6),
          (99.99999997267908, 9),
          (99.99999998633952, 10),
          (99.99999999316977, 3),
          (99.99999999829245, 5),
          (99.99999999957309, 9),
      ]
  
      var = stats.Var()
  
      for x, w in D:
          var.update(x, w)
  
      assert var.get() > 0 and math.isclose(
          var.get(), 4.648047194845607e-15
      )
  
imports: from __future__ import annotations
  import math
  import random
  from river import stats
label_desc: Use image node_id 1 for calling a global function with example usage: test_weighted_variance_with_close_numbers() without return types