





'''simple docstring'''

import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


a        =						get_tests_dir("fixtures/test_sentencepiece_bpe.model")







class __a (   _snake_case,   unittest.TestCase			):
   __UpperCamelCase   : Union[str, Any]	      =	BartphoTokenizer
   __UpperCamelCase   : List[Any]	      =	False
   __UpperCamelCase   : Union[str, Any]	      =	True





   def      UpperCAmelCase__     (					self				:			int    ):

      '''simple docstring'''

      super().setUp()

      __SCREAMING_SNAKE_CASE      							=       ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]
      __SCREAMING_SNAKE_CASE      							=       dict(zip(lowerCamelCase				,range(len(lowerCamelCase    )    )    )    )
      __SCREAMING_SNAKE_CASE      							=       {"""unk_token""": """<unk>"""}

      __SCREAMING_SNAKE_CASE      							=       os.path.join(self.tmpdirname				,VOCAB_FILES_NAMES["""monolingual_vocab_file"""]    )
      with open(self.monolingual_vocab_file				,"""w"""				,encoding="""utf-8"""    ) as fp:
         for token in vocab_tokens:
            fp.write(f"""{token} {vocab_tokens[token]}\n"""    )

      __SCREAMING_SNAKE_CASE      							=       BartphoTokenizer(lowerCamelCase				,self.monolingual_vocab_file				,**self.special_tokens_map    )
      tokenizer.save_pretrained(self.tmpdirname    )





   def      UpperCAmelCase__     (					self				:			str				,**lowerCamelCase				:			List[Any]    ):

      '''simple docstring'''

      kwargs.update(self.special_tokens_map    )
      return BartphoTokenizer.from_pretrained(self.tmpdirname				,**lowerCamelCase    )





   def      UpperCAmelCase__     (					self				:			Optional[Any]				,lowerCamelCase				:			int    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       """This is a là test"""
      __SCREAMING_SNAKE_CASE      							=       """This is a<unk><unk> test"""
      return input_text, output_text





   def      UpperCAmelCase__     (					self				:			Optional[int]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       BartphoTokenizer(lowerCamelCase				,self.monolingual_vocab_file				,**self.special_tokens_map    )
      __SCREAMING_SNAKE_CASE      							=       """This is a là test"""
      __SCREAMING_SNAKE_CASE      							=       """▁This ▁is ▁a ▁l à ▁t est""".split()
      __SCREAMING_SNAKE_CASE      							=       tokenizer.tokenize(lowerCamelCase    )
      self.assertListEqual(lowerCamelCase				,lowerCamelCase    )

      __SCREAMING_SNAKE_CASE      							=       tokens + [tokenizer.unk_token]
      __SCREAMING_SNAKE_CASE      							=       [4, 5, 6, 3, 3, 7, 8, 3]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase    )				,lowerCamelCase    )












'''simple docstring'''

def 						__magic_name__       (							__UpperCAmelCase = 1							,	__UpperCAmelCase = 1000      )						->					int:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       1
   __SCREAMING_SNAKE_CASE      							=       0

   for divide_by_number in range(__UpperCAmelCase							,	digit + 1      ):
      __SCREAMING_SNAKE_CASE      							=       []
      __SCREAMING_SNAKE_CASE      							=       numerator
      for _ in range(1							,	digit + 1      ):
         if now_divide in has_been_divided:
            if longest_list_length < len(__UpperCAmelCase      ):
               __SCREAMING_SNAKE_CASE      							=       len(__UpperCAmelCase      )
               __SCREAMING_SNAKE_CASE      							=       divide_by_number
         else:
            has_been_divided.append(__UpperCAmelCase      )
            __SCREAMING_SNAKE_CASE      							=       now_divide * 10 % divide_by_number

   return the_digit


# Tests
if __name__ == "__main__":
    import doctest

    doctest.testmod()





