code: def test_confidence_measures_zero(
      self, measure_name, alpha, vocab_size
  ):
      measure = self.measure_bank[measure_name]
  
      assert torch.allclose(
          measure(ZERO_VEC_SET[vocab_size], vocab_size, alpha),
          torch.tensor([0.0, 0.0]),
          atol=TOL,
      )
  
file_path: NeMo/tests/collections/asr/confidence/test_asr_confidence_primitives.py
imports: import math
  import pytest
  import torch
  from nemo.collections.asr.parts.utils.asr_confidence_utils import get_confidence_aggregation_bank, get_confidence_measure_bank
label_desc: Use image node_id 3 for calling the TestConfidenceMeasureBank obj's underlying member method code with example usage: obj.test_confidence_measures_zero(measure_name, alpha, vocab_size) without return types