code: def test_predicted_ok_for_multilabel_unordered():
      record = ServiceTextClassificationRecord(
          inputs={"text": "The text"},
          prediction=TextClassificationAnnotation(
              agent="test",
              labels=[
                  ClassPrediction(class_label="B"),
                  ClassPrediction(class_label="C", score=0.3),
                  ClassPrediction(class_label="A"),
              ],
          ),
          annotation=TextClassificationAnnotation(
              agent="test",
              labels=[
                  ClassPrediction(class_label="A"),
                  ClassPrediction(class_label="B"),
              ],
          ),
          multi_label=True,
      )
  
      assert record.predicted == PredictionStatus.OK
  
imports: import pytest
  from argilla.server.apis.v0.models.text_classification import TextClassificationAnnotation, TextClassificationQuery, TextClassificationRecord
  from argilla.server.commons.models import PredictionStatus, TaskStatus
  from argilla.server.daos.backend.search.query_builder import EsQueryBuilder
  from argilla.server.services.tasks.text_classification.model import ClassPrediction, ServiceTextClassificationRecord
  from tests.pydantic_v1 import ValidationError
label_desc: Use image node_id 13 for calling a global function with example usage: test_predicted_ok_for_multilabel_unordered() without return types