code: def test_that_precomputed_passes_back_predictions():
      precomputed = Precomputed()
      ranks = np.arange(10)
      assert (precomputed(ranks) == ranks).all()
  
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 12 for calling a global function with example usage: test_that_precomputed_passes_back_predictions() without return types