code: def test_fit(
      self, monkeypatch, weak_labels, include_annotated, expected
  ):
      def mock_fit(*args, **kwargs):
          if not include_annotated:
              assert (kwargs["L_train"] == np.array([0, 0, 0])).all()
          assert len(kwargs["L_train"]) == expected
  
      monkeypatch.setattr(
          "flyingsquid.label_model.LabelModel.fit",
          mock_fit,
      )
  
      label_model = FlyingSquid(weak_labels)
      label_model.fit(include_annotated_records=include_annotated)
  
      assert len(label_model._models) == 3
  
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 3 for calling the TestFlyingSquid obj's underlying member method code with example usage: obj.test_fit(monkeypatch, weak_labels, include_annotated, expected) without return types