code: def test_random(distributions):
      np.random.seed(1337)
      random = Random()
      all_equals = np.all(
          [
              np.allclose(random(distributions), random(distributions))
              for _ in range(10)
          ]
      )
      assert not all_equals
  
imports: import warnings
  import numpy
  import pytest
  from hypothesis import given
  from torch_hypothesis import class_logits
  from baal.active import get_heuristic
  from baal.active.heuristics import Random, BALD, Margin, Entropy, Certainty, Variance, BatchBALD, AbstractHeuristic, requireprobs, Precomputed, CombineHeuristics
  from tests.test_utils import make_fake_dist, make_3d_fake_dist, make_5d_fake_dist
label_desc: Use image node_id 9 for calling a global function with example usage: test_random(distributions) without return types