code: def test_sentencepiece_tokenizer_output():
      """Tests for output for sentencepiece tokenizers to not have '_' in output of masker when passed a mask of ones."""
  
      AutoTokenizer = pytest.importorskip("transformers").AutoTokenizer
      pytest.importorskip("sentencepiece")
  
      tokenizer = AutoTokenizer.from_pretrained(
          "Helsinki-NLP/opus-mt-en-es"
      )
      masker = shap.maskers.Text(tokenizer)
  
      s = "This is a test statement for sentencepiece tokenizer"
      mask = np.ones(masker.shape(s)[1], dtype=bool)
  
      sentencepiece_tokenizer_output_processed = masker(mask, s)
      expected_sentencepiece_tokenizer_output_processed = (
          "This is a test statement for sentencepiece tokenizer"
      )
      # since we expect output wrapped in a tuple hence the indexing [0][0] to extract the string
      assert (
          sentencepiece_tokenizer_output_processed[0][0]
          == expected_sentencepiece_tokenizer_output_processed
      )
  
file_path: shap/tests/maskers/test_text.py
imports: import tempfile
  import numpy
  import pytest
  import shap
label_desc: Use image node_id 5 for calling a global function with example usage: test_sentencepiece_tokenizer_output() without return types