





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 					__magic_name__  (							lowerCamelCase__    ,				unittest.TestCase							):





     """simple docstring"""



     __UpperCamelCase					    =     MPNetTokenizer
     __UpperCamelCase					    =     MPNetTokenizerFast
     __UpperCamelCase					    =     True
     __UpperCamelCase					    =     True



     def 						SCREAMING_SNAKE_CASE		(							self       :List[str]  ):





        '''simple docstring'''




        super().setUp()

        A_					:				int          =			[
            "[UNK]",
            "[CLS]",
            "[SEP]",
            "[PAD]",
            "[MASK]",
            "want",
            "##want",
            "##ed",
            "wa",
            "un",
            "runn",
            "##ing",
            ",",
            "low",
            "lowest",
        ]
        A_					:				List[str]          =			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 						SCREAMING_SNAKE_CASE		(							self       :List[Any]			,      snake_case       :Union[str, Any]  ):





        '''simple docstring'''




        A_					:				str          =			"UNwant\u00E9d,running"
        A_					:				Union[str, Any]          =			"unwanted, running"
        return input_text, output_text



     def 						SCREAMING_SNAKE_CASE		(							self       :List[str]  ):





        '''simple docstring'''




        A_					:				Union[str, Any]          =			self.tokenizer_class(self.vocab_file  )

        A_					:				Union[str, Any]          =			tokenizer.tokenize("UNwant\u00E9d,running"  )
        self.assertListEqual(snake_case			,      ["un", "##want", "##ed", ",", "runn", "##ing"]  )
        self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case  )			,      [9, 6, 7, 12, 10, 11]  )





     @slow
     def 						SCREAMING_SNAKE_CASE		(							self       :List[str]  ):





        '''simple docstring'''




        A_					:				Optional[int]          =			self.tokenizer_class.from_pretrained("microsoft/mpnet-base"  )

        A_					:				Optional[int]          =			tokenizer.encode("sequence builders"			,      add_special_tokens=snake_case  )
        A_					:				Union[str, Any]          =			tokenizer.encode("multi-sequence build"			,      add_special_tokens=snake_case  )

        A_					:				Union[str, Any]          =			tokenizer.build_inputs_with_special_tokens(snake_case  )
        A_					:				Dict          =			tokenizer.build_inputs_with_special_tokens(snake_case			,      snake_case  )

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







from __future__ import annotations

def      __snake_case						(					_lowerCAmelCase : int	) ->						list[int]:
   assert (
       isinstance(_lowerCAmelCase				,				_lowerCAmelCase	) and mask > 0
   ), f"mask needs to be positive integer, your input {mask}"
   A_					:				Optional[Any]          =			[]
   A_					:				Optional[int]          =			mask

   while submask:
      all_submasks.append(_lowerCAmelCase	)
      A_					:				List[str]          =			(submask - 1) & mask

   return all_submasks


if __name__ == "__main__":
 import doctest

 doctest.testmod()
