code: def test_predict(
      self,
      weak_labels,
      monkeypatch,
      policy,
      include_annotated_records,
      include_abstentions,
      expected,
  ):
      def mock_predict(
          self, L, return_probs, tie_break_policy, *args, **kwargs
      ):
          assert tie_break_policy == policy
          assert return_probs is True
          if include_annotated_records:
              assert len(L) == 4
              preds = np.array([-1, -1, 1, 0])
              if policy == "random":
                  preds = np.array([1, 0, 1, 0])
              return preds, np.array(
                  [
                      [0.4, 0.4, 0.2],
                      [1.0 / 3, 1.0 / 3, 1.0 / 3],
                      [0.1, 0.8, 0.1],
                      [0.9, 0.05, 0.05],
                  ]
              )
          else:
              assert len(L) == 1
              return np.array([1]), np.array([[0.1, 0.8, 0.1]])
  
      monkeypatch.setattr(
          "snorkel.labeling.model.LabelModel.predict",
          mock_predict,
      )
  
      label_model = Snorkel(weak_labels)
  
      records = label_model.predict(
          tie_break_policy=policy,
          include_annotated_records=include_annotated_records,
          include_abstentions=include_abstentions,
          prediction_agent="mock_agent",
      )
      assert len(records) == expected[0]
      assert [
          rec.prediction[0][0] if rec.prediction else None
          for rec in records
      ] == expected[1]
      assert [
          rec.prediction[0][1] if rec.prediction else None
          for rec in records
      ] == expected[2]
      assert records[0].prediction_agent == "mock_agent"
  
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 6 for calling the TestSnorkel obj's underlying member method code with example usage: obj.test_predict(weak_labels, monkeypatch, policy, include_annotated_records, include_abstentions, expected) and returns: preds,  np, np,  np