code: def test_fit(
      self, monkeypatch, weak_labels, include_annotated_records
  ):
      def mock_fit(self, L_train, *args, **kwargs):
          if include_annotated_records:
              assert (L_train == weak_labels.matrix()).all()
          else:
              assert (
                  L_train == weak_labels.matrix(has_annotation=False)
              ).all()
          assert kwargs == {"passed_on": None}
  
      monkeypatch.setattr(
          "snorkel.labeling.model.LabelModel.fit",
          mock_fit,
      )
  
      label_model = Snorkel(weak_labels)
      label_model.fit(
          include_annotated_records=include_annotated_records,
          passed_on=None,
      )
  
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 4 for calling the TestSnorkel obj's underlying member method code with example usage: obj.test_fit(monkeypatch, weak_labels, include_annotated_records) without return types