



'''simple docstring'''







import unittest
import warnings
from dataclasses import dataclass

from transformers.convert_slow_tokenizer import SpmConverter
from transformers.testing_utils import get_tests_dir

@dataclass
class      lowerCamelCase__     :






	'''simple docstring'''

	A__		=	42





class      lowerCamelCase__     (     unittest.TestCase				):






	'''simple docstring'''

	def      lowercase__							(  self		:  Optional[Any]					)     ->			str:




								'''simple docstring'''





								lowerCAmelCase__  =   get_tests_dir("""fixtures/test_sentencepiece.model"""					)
								lowerCAmelCase__  =   get_tests_dir("""fixtures/test_sentencepiece_with_bytefallback.model"""					)

								lowerCAmelCase__  =   FakeOriginalTokenizer(vocab_file=_lowerCAmelCase					)

								with warnings.catch_warnings(record=_lowerCAmelCase					) as w:
															lowerCAmelCase__  =   SpmConverter(_lowerCAmelCase					)
								self.assertEqual(len(_lowerCAmelCase					)   ,		0					)

								lowerCAmelCase__  =   FakeOriginalTokenizer(vocab_file=_lowerCAmelCase					)

								with warnings.catch_warnings(record=_lowerCAmelCase					) as w:
															lowerCAmelCase__  =   SpmConverter(_lowerCAmelCase					)
								self.assertEqual(len(_lowerCAmelCase					)   ,		1					)

								self.assertIn(
								    """The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option"""
								    """ which is not implemented in the fast tokenizers."""   ,		str(w[0].message					)   ,		)











def    UpperCAmelCase__	(  lowerCamelCase ):
  lowercase     :Optional[int]   						=    len(lowerCamelCase )
  if n in (0, 1):
    return 0
  return sum(query * (n - i - 1) for i, query in enumerate(sorted(lowerCamelCase ) ) )


if __name__ == "__main__":
     import doctest

     doctest.testmod()



