code: def test_margin(distributions, reduction):
      np.random.seed(1337)
      margin = Margin(reduction=reduction)
      marg = margin(distributions)
      assert np.all(marg == [1, 2, 0]), "Margin is not right {}".format(
          marg
      )
  
      margin = Margin(shuffle_prop=0.9, reduction=reduction)
      marg = margin(distributions)
      assert np.any(marg != [1, 2, 0])
  
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 6 for calling a global function with example usage: test_margin(distributions, reduction) without return types