code: def test_compute_correct_incorrect(self, monkeypatch):
      def mock_load(*args, **kwargs):
          return [TextClassificationRecord(text="mock")]
  
      monkeypatch.setattr(
          "argilla.labeling.text_classification.weak_labels.load",
          mock_load,
      )
  
      def mock_apply(self, *args, **kwargs):
          weak_label_matrix = np.array(
              [[[1, 0, 1, 0], [0, 1, 0, 1]]], dtype=np.short
          )
          return weak_label_matrix, None, None
  
      monkeypatch.setattr(WeakMultiLabels, "_apply_rules", mock_apply)
  
      weak_labels = WeakMultiLabels(
          rules=[lambda x: "mock"] * 2, dataset="mock"
      )
      correct, incorrect = weak_labels._compute_correct_incorrect(
          annotation=np.array([[1, 0, 1, 0]])
      )
  
      assert np.allclose(correct, np.array([2, 0, 2]))
      assert np.allclose(incorrect, np.array([0, 2, 2]))
  
imports: import sys
  from typing import Callable, List, Optional, Union
  import numpy
  import pandas
  import pytest
  from argilla.client.models import TextClassificationRecord
  from argilla.client.sdk.text_classification.models import CreationTextClassificationRecord, TextClassificationBulkData
  from argilla.labeling.text_classification import WeakLabels, WeakMultiLabels
  from argilla.labeling.text_classification.rule import Rule
  from argilla.labeling.text_classification.weak_labels import DuplicatedRuleNameError, MissingLabelError, MultiLabelError, NoRecordsFoundError, NoRulesFoundError, WeakLabelsBase
  from argilla.server.commons.models import TaskType
  from pandas.testing import assert_frame_equal
  from tests.integration.helpers import SecuredClient
label_desc: Use image node_id 4 for calling the TestWeakMultiLabels obj's underlying member method code with example usage: obj.test_compute_correct_incorrect(monkeypatch) and returns: list, weak_label_matrix,  None,  None