




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


lowerCAmelCase_						=			get_tests_dir('fixtures/test_sentencepiece_bpe.model')
class 						_A (  _lowerCamelCase      ,       unittest.TestCase				):
  _UpperCamelCase       :      Any			=      BartphoTokenizer
  _UpperCamelCase       :      str			=      False
  _UpperCamelCase       :      Tuple			=      True






  def  __a      (  self		:     Optional[Any]				)		->   List[str]:






       """simple docstring"""







       super().setUp()

       lowercase :       List[str]       =			['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']
       lowercase :       Tuple       =			dict(zip(_A				,						range(len(_A				)				)				)				)
       lowercase :       Optional[Any]       =			{'''unk_token''': '''<unk>'''}

       lowercase :       List[Any]       =			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"""				)

       lowercase :       Optional[int]       =			BartphoTokenizer(_A				,						self.monolingual_vocab_file				,						**self.special_tokens_map				)
       tokenizer.save_pretrained(self.tmpdirname				)






  def  __a      (  self		:     List[Any]				,						**_A		:     Union[str, Any]				)		->   Tuple:






       """simple docstring"""







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






  def  __a      (  self		:     str				,						_A		:     Tuple				)		->   Optional[Any]:






       """simple docstring"""







       lowercase :       Union[str, Any]       =			'''This is a là test'''
       lowercase :       Any       =			'''This is a<unk><unk> test'''
       return input_text, output_text






  def  __a      (  self		:     Dict				)		->   Dict:






       """simple docstring"""







       lowercase :       int       =			BartphoTokenizer(_A				,						self.monolingual_vocab_file				,						**self.special_tokens_map				)
       lowercase :       int       =			'''This is a là test'''
       lowercase :       str       =			'''▁This ▁is ▁a ▁l à ▁t est'''.split()
       lowercase :       str       =			tokenizer.tokenize(_A				)
       self.assertListEqual(_A				,						_A				)

       lowercase :       Optional[Any]       =			tokens + [tokenizer.unk_token]
       lowercase :       Optional[Any]       =			[4, 5, 6, 3, 3, 7, 8, 3]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_A				)				,						_A				)





def  snake_case(    __magic_name__			,		__magic_name__   )			->							bool:





     '''simple docstring'''


     lowercase :       List[Any]       =			len(__magic_name__   )
     lowercase :       str       =			[[False] * (required_sum + 1) for _ in range(arr_len + 1   )]

     # for each arr value, a sum of zero(0) can be formed by not taking any element
     # hence True/1
     for i in range(arr_len + 1   ):
          lowercase :       List[str]       =			True

     # sum is not zero and set is empty then false
     for i in range(1			,		required_sum + 1   ):
          lowercase :       str       =			False

     for i in range(1			,		arr_len + 1   ):
          for j in range(1			,		required_sum + 1   ):
               if arr[i - 1] > j:
                    lowercase :       Optional[Any]       =			subset[i - 1][j]
               if arr[i - 1] <= j:
                    lowercase :       Dict       =			subset[i - 1][j] or subset[i - 1][j - arr[i - 1]]

     return subset[arr_len][required_sum]


if __name__ == "__main__":
 import doctest

 doctest.testmod()