



'''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      snake_case__       :







						"""simple docstring"""




						__lowerCAmelCase  :str




class      snake_case__       (unittest.TestCase	):







						"""simple docstring"""




						def 							SCREAMING_SNAKE_CASE__(     self						)      ->   Dict:
									"""simple docstring"""




									a__     :		List[Any]		 =						get_tests_dir("""fixtures/test_sentencepiece.model"""						)
									a__     :		Tuple		 =						get_tests_dir("""fixtures/test_sentencepiece_with_bytefallback.model"""						)

									a__     :		List[Any]		 =						FakeOriginalTokenizer(vocab_file=__lowercase						)

									with warnings.catch_warnings(record=__lowercase						) as w:
												a__     :		Optional[int]		 =						SpmConverter(__lowercase						)
									self.assertEqual(len(__lowercase						)      ,     0						)

									a__     :		str		 =						FakeOriginalTokenizer(vocab_file=__lowercase						)

									with warnings.catch_warnings(record=__lowercase						) as w:
												a__     :		Optional[Any]		 =						SpmConverter(__lowercase						)
									self.assertEqual(len(__lowercase						)      ,     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						)      ,     )









from __future__ import annotations

def 			lowerCAmelCase_  (						_lowercase       :     list[int]		,     _lowercase       :     int)							-> list[int]:







			"""simple docstring"""
			a__     :		dict[int, int]		 =						{}
			for index, val in enumerate(_lowercase):
						a__     :		str		 =						target - val
						if compl in chk_map:
									return [chk_map[compl], index]
						a__     :		str		 =						index
			return []


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		print(f'{two_sum([2, 7, 11, 15], 9) = }')




