code: def test_fit_with_misplaced_max_length_kwargs(self):
      setfit_model_args = SetFitModelArguments(
          "sentence-transformers/all-MiniLM-L6-v2"
      )
      num_classes = 5
  
      setfit_train_kwargs = {"max_length": 20}
  
      texts = ["this is a sentence", "another sentence"]
      clf = SetFitClassification(setfit_model_args, num_classes)
      dataset = TextDataset.from_arrays(
          texts, np.array([1, 0]), target_labels=np.array([0, 1])
      )
      with self.assertRaisesRegex(
          ValueError, "Invalid keyword argument in setfit_train_kwargs"
      ):
          clf.fit(dataset, setfit_train_kwargs=setfit_train_kwargs)
  
imports: import unittest
  import pytest
  import numpy
  from unittest.mock import patch
  from scipy.sparse import issparse
  from small_text.data.datasets import TextDataset
  from small_text.exceptions import UnsupportedOperationException
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from sklearn.utils.validation import check_is_fitted
  from tests.utils.datasets import twenty_news_text
label_desc: Use image node_id 1 for calling the _ClassificationTest obj's underlying member method code with example usage: obj.test_fit_with_misplaced_max_length_kwargs() without return types