




import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class      A     (						_lowerCAmelCase     ,  unittest.TestCase						):
     """simple docstring"""

     _snake_case:		str       =MPNetTokenizer
     _snake_case:		Optional[Any]       =MPNetTokenizerFast
     _snake_case:		Optional[int]       =True
     _snake_case:		Any       =True




     def 	__snake_case				(      self					:				Dict     )			->    List[Any]:
           super().setUp()

           lowerCamelCase__ 					=			[
               '[UNK]',
               '[CLS]',
               '[SEP]',
               '[PAD]',
               '[MASK]',
               'want',
               '##want',
               '##ed',
               'wa',
               'un',
               'runn',
               '##ing',
               ',',
               'low',
               'lowest',
           ]
           lowerCamelCase__ 					=			os.path.join(self.tmpdirname		,					VOCAB_FILES_NAMES['vocab_file']     )
           with open(self.vocab_file		,					'w'		,					encoding='utf-8'     ) as vocab_writer:
                 vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]     )     )




     def 	__snake_case				(      self					:				str		,					A__					:				List[Any]     )			->    str:
           lowerCamelCase__ 					=			'UNwant\u00E9d,running'
           lowerCamelCase__ 					=			'unwanted, running'
           return input_text, output_text




     def 	__snake_case				(      self					:				Tuple     )			->    Tuple:
           lowerCamelCase__ 					=			self.tokenizer_class(self.vocab_file     )

           lowerCamelCase__ 					=			tokenizer.tokenize('UNwant\u00E9d,running'     )
           self.assertListEqual(A__		,					['un', '##want', '##ed', ',', 'runn', '##ing']     )
           self.assertListEqual(tokenizer.convert_tokens_to_ids(A__     )		,					[9, 6, 7, 1_2, 1_0, 1_1]     )




     @slow
     def 	__snake_case				(      self					:				str     )			->    List[Any]:
           lowerCamelCase__ 					=			self.tokenizer_class.from_pretrained('microsoft/mpnet-base'     )

           lowerCamelCase__ 					=			tokenizer.encode('sequence builders'		,					add_special_tokens=A__     )
           lowerCamelCase__ 					=			tokenizer.encode('multi-sequence build'		,					add_special_tokens=A__     )

           lowerCamelCase__ 					=			tokenizer.build_inputs_with_special_tokens(A__     )
           lowerCamelCase__ 					=			tokenizer.build_inputs_with_special_tokens(A__		,					A__     )

           assert encoded_sentence == [0] + text + [2]
           assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]





def      lowerCAmelCase_     (					lowerCamelCase:    Optional[int]  )   ->     Union[str, Any]:


      '''simple docstring'''




      lowerCamelCase__ 					=			[7_01, 3_01, 1_32, 57, 23, 10, 4, 1]
      for gap in gaps:
            for i in range(lowerCamelCase       ,			len(lowerCamelCase  )  ):
                  lowerCamelCase__ 					=			collection[i]
                  lowerCamelCase__ 					=			i
                  while j >= gap and collection[j - gap] > insert_value:
                        lowerCamelCase__ 					=			collection[j - gap]
                        j -= gap
                  if j != i:
                        lowerCamelCase__ 					=			insert_value
      return collection


if __name__ == "__main__":
      from doctest import testmod

      testmod()
      __SCREAMING_SNAKE_CASE      :				List[Any]				      =input("""Enter numbers separated by a comma:\n""").strip()
      __SCREAMING_SNAKE_CASE      :				Dict				      =[int(item) for item in user_input.split(""",""")]
      print(shell_sort(unsorted))