code: def test_score_multi_label(self, weak_multi_labels):
      mj = MajorityVoter(weak_multi_labels)
  
      probabilities = np.array(
          [[0.0, 0.0, 1.0], [1.0, 1.0, 1.0], [np.nan, np.nan, np.nan]]
      )
  
      annotation, prediction = mj._score_multi_label(
          probabilities=probabilities
      )
  
      assert np.allclose(annotation, np.array([[0, 0, 1], [1, 0, 1]]))
      assert np.allclose(prediction, np.array([[0, 0, 1], [1, 1, 1]]))
  
imports: import sys
  import numpy
  import pytest
  from argilla.client.models import TextClassificationRecord
  from argilla.labeling.text_classification import FlyingSquid, Snorkel, WeakLabels, WeakMultiLabels
  from argilla.labeling.text_classification.label_models import LabelModel, MajorityVoter, MissingAnnotationError, NotFittedError, TieBreakPolicy, TooFewRulesError
label_desc: Use image node_id 12 for calling the TestMajorityVoter obj's underlying member method code with example usage: obj.test_score_multi_label(weak_multi_labels) without return types