code: def test_predict_not_fitted_error(self, weak_labels):
      label_model = FlyingSquid(weak_labels)
      with pytest.raises(NotFittedError, match="not fitted yet"):
          label_model.predict()
  
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 8 for calling the TestFlyingSquid obj's underlying member method code with example usage: obj.test_predict_not_fitted_error(weak_labels) without return types