



'''simple docstring'''






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

from ..bert.test_tokenization_bert import BertTokenizationTest



@require_tokenizers
class 				lowercase			(    _lowerCamelCase							):


 """simple docstring"""


 UpperCAmelCase		      =    SqueezeBertTokenizer
 UpperCAmelCase		      =    SqueezeBertTokenizerFast
 UpperCAmelCase		      =    True







 def _snake_case					(				self    ,**a_				)						->  Any:
        return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname    ,**a_				)







 @slow
 def _snake_case					(				self				)						->  int:
        _UpperCAmelCase    :		List[Any]     	=					SqueezeBertTokenizer.from_pretrained("""squeezebert/squeezebert-mnli-headless"""				)

        _UpperCAmelCase    :		Dict     	=					tokenizer.encode("""sequence builders"""    ,add_special_tokens=a_				)
        _UpperCAmelCase    :		Tuple     	=					tokenizer.encode("""multi-sequence build"""    ,add_special_tokens=a_				)

        _UpperCAmelCase    :		Any     	=					tokenizer.build_inputs_with_special_tokens(a_				)
        _UpperCAmelCase    :		Union[str, Any]     	=					tokenizer.build_inputs_with_special_tokens(a_    ,a_				)

        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
        ]






"""simple docstring"""
def       UpperCamelCase_					(     lowerCamelCase							:					str   )						->     str:



       """simple docstring"""







       return " ".join([word[::-1] for word in input_str.split()]   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
