

from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest







@require_tokenizers
class  __lowerCamelCase				(	__snake_case	):
      lowerCamelCase_	:      Dict          =					SqueezeBertTokenizer
      lowerCamelCase_	:      List[str]          =					SqueezeBertTokenizerFast
      lowerCamelCase_	:      Dict          =					True







      def 	lowerCAmelCase_    (     self							,  **lowerCamelCase   )						->       int:
        return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname							,  **lowerCamelCase   )







      @slow
      def 	lowerCAmelCase_    (     self   )						->       Union[str, Any]:
        snake_case_       						=      SqueezeBertTokenizer.from_pretrained("""squeezebert/squeezebert-mnli-headless"""   )

        snake_case_       						=      tokenizer.encode("""sequence builders"""							,  add_special_tokens=lowerCamelCase   )
        snake_case_       						=      tokenizer.encode("""multi-sequence build"""							,  add_special_tokens=lowerCamelCase   )

        snake_case_       						=      tokenizer.build_inputs_with_special_tokens(lowerCamelCase   )
        snake_case_       						=      tokenizer.build_inputs_with_special_tokens(lowerCamelCase							,  lowerCamelCase   )

        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
        ]


def    UpperCamelCase(					lowercase_							)	->				int:





  '''simple docstring'''





  return int(lowercase_							) if x - int(lowercase_							) <= 0 else int(lowercase_							) + 1


if __name__ == "__main__":
    import doctest

    doctest.testmod()