code: def test_thresholds_between_0_and_1():
      expected = Tensor([0, 1])
      assert torch_all(thresholds_between_0_and_1(2) == expected)
  
imports: from torch import Tensor, all
  from anomalib.utils.metrics.binning import thresholds_between_min_and_max, thresholds_between_0_and_1
label_desc: Use image node_id 2 for calling a global function with example usage: test_thresholds_between_0_and_1() without return types