code: def weak_labels(self, monkeypatch, rules):
      def mock_load(*args, **kwargs):
          return [
              TextClassificationRecord(text="test", id=i)
              for i in range(3)
          ]
  
      monkeypatch.setattr(
          "argilla.labeling.text_classification.weak_labels.load",
          mock_load,
      )
  
      def mock_apply(self, *args, **kwargs):
          weak_label_matrix = np.array(
              [[0, -1, -1], [-1, 1, -1], [-1, -1, -1]],
              dtype=np.short,
          )
          annotation_array = np.array([0, 1, -1], dtype=np.short)
          label2int = {None: -1, "negative": 0, "positive": 1}
          return weak_label_matrix, annotation_array, label2int
  
      monkeypatch.setattr(WeakLabels, "_apply_rules", mock_apply)
  
      return WeakLabels(rules=rules, dataset="mock")
  
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 8 for calling the TestWeakLabels obj's underlying member method code with example usage: obj.weak_labels(monkeypatch, rules) and returns: WeakLabels, unknown, weak_label_matrix,  annotation_array,  label2int