code: def test_score(self, monkeypatch, weak_labels):
      def mock_predict(weak_label_matrix, verbose):
          assert verbose is False
          assert len(weak_label_matrix) == 3
          return np.array(
              [[0.8, 0.1, 0.1], [0.1, 0.8, 0.1], [0.1, 0.1, 0.8]]
          )
  
      label_model = FlyingSquid(weak_labels)
      # We have to monkeypatch the instance rather than the class due to decorators
      # on the class
      monkeypatch.setattr(label_model, "_predict", mock_predict)
      metrics = label_model.score()
  
      assert "accuracy" in metrics
      assert metrics["accuracy"] == pytest.approx(1.0)
      assert list(metrics.keys())[:3] == [
          "negative",
          "positive",
          "neutral",
      ]
  
      assert isinstance(label_model.score(output_str=True), str)
  
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 11 for calling the TestFlyingSquid obj's underlying member method code with example usage: obj.test_score(monkeypatch, weak_labels) and returns: np