code: def test_truncate_texts_no_action_needed(self):
      model_args = SetFitModelArguments(
          "sentence-transformers/paraphrase-MiniLM-L3-v2"
      )
      clf = SetFitClassification(model_args, 3)
  
      dataset = TextDataset.from_arrays(
          [
              "This is a very long text",
              "This is another very long text",
              "This is",
          ],
          np.array([0, 1, 2]),
          target_labels=np.arange(3),
      )
      datasets = [dataset]
  
      result_datasets = _truncate_texts(clf.model, 20, *datasets)
      self.assertEqual(1, len(result_datasets))
      self.assertEqual(dataset.x[0], result_datasets[0].x[0])
      self.assertEqual(dataset.x[1], result_datasets[0].x[1])
      self.assertEqual(dataset.x[2], result_datasets[0].x[2])
  
file_path: small-text/tests/integration/small_text/integrations/transformers/utils/test_setfit.py
imports: import unittest
  import pytest
  import numpy
  from small_text.data.datasets import TextDataset
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
label_desc: Use image node_id 2 for calling the SetFitUtilsTest obj's underlying member method code with example usage: obj.test_truncate_texts_no_action_needed() without return types