"""simple docstring"""




import argparse


_a      :		Dict           =   'docs/source/_static/js/custom.js'





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       int	)       ->      Dict:



  with open(snake_case__			,encoding="""utf-8"""			,newline="""\n"""	) as f:
    _lowerCAmelCase						:       Dict  			=     f.readlines()
  _lowerCAmelCase						:       Dict  			=     0

  # First let's put the right version
  while not lines[index].startswith("""const stableVersion ="""	):
    index += 1
  _lowerCAmelCase						:       Union[str, Any]  			=     f"const stableVersion = \"v{version}\"\n"

  # Then update the dictionary
  while not lines[index].startswith("""const versionMapping = {"""	):
    index += 1

  # We go until the end
  while not lines[index].startswith("""}"""	):
    index += 1
  # We add the new version at the end
  lines[index - 1] += f"    \"v{version}\": \"v{version}\",\n"

  with open(snake_case__			,"""w"""			,encoding="""utf-8"""			,newline="""\n"""	) as f:
    f.writelines(snake_case__	)


if __name__ == "__main__":
     _a      :		Union[str, Any]           =   argparse.ArgumentParser()
     parser.add_argument('--version', help='Release version.')
     _a      :		List[str]           =   parser.parse_args()
     update_custom_js(args.version)






'''simple docstring'''




from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest





@require_tokenizers
class  A				(							__snake_case						):
     __magic_name__						=		DistilBertTokenizer
     __magic_name__						=		DistilBertTokenizerFast
     __magic_name__						=		True





     @slow
     def 				__lowerCAmelCase							(							self	) ->				Any:






         """simple docstring"""






         A       :   List[Any]					=						DistilBertTokenizer.from_pretrained('''distilbert-base-uncased'''	)

         A       :   Dict					=						tokenizer.encode('''sequence builders'''						,			add_special_tokens=SCREAMING_SNAKE_CASE	)
         A       :   List[str]					=						tokenizer.encode('''multi-sequence build'''						,			add_special_tokens=SCREAMING_SNAKE_CASE	)

         A       :   Optional[Any]					=						tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE	)
         A       :   Tuple					=						tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE	)

         assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
         assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
             tokenizer.sep_token_id
         ]




