code: def test_predict(
      self,
      weak_labels,
      monkeypatch,
      policy,
      include_annotated_records,
      include_abstentions,
      verbose,
      expected,
  ):
      class MockPredict:
          calls_count = 0
  
          @classmethod
          def __call__(cls, L_matrix, verbose):
              assert verbose is expected["verbose"]
              assert len(L_matrix) == expected["L_matrix_length"]
              cls.calls_count += 1
  
              return expected["return"]
  
      monkeypatch.setattr(
          "flyingsquid.label_model.LabelModel.predict_proba",
          MockPredict(),
      )
  
      label_model = FlyingSquid(weak_labels)
      label_model.fit()
  
      records = label_model.predict(
          tie_break_policy=policy,
          include_annotated_records=include_annotated_records,
          include_abstentions=include_abstentions,
          verbose=verbose,
          prediction_agent="mock_agent",
      )
  
      assert MockPredict.calls_count == 3
      assert len(records) == expected["nr_of_records"]
      if records:
          assert records[0].prediction == expected["prediction"]
          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 5 for calling the TestFlyingSquid obj's underlying member method code with example usage: obj.test_predict(weak_labels, monkeypatch, policy, include_annotated_records, include_abstentions, verbose, expected) and returns: expected