

'''simple docstring'''



import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class 				_snake_case					(   a_     , unittest.TestCase			):
  SCREAMING_SNAKE_CASE			:       str				=     PhobertTokenizer
  SCREAMING_SNAKE_CASE			:       List[str]				=     False

  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      lowerCAmelCase 						=							['T@@', 'i', 'I', 'R@@', 'r', 'e@@']
      lowerCAmelCase 						=							dict(zip(_SCREAMING_SNAKE_CASE      , range(len(_SCREAMING_SNAKE_CASE	)	)	)	)
      lowerCAmelCase 						=							['#version: 0.2', 'l à</w>']
      lowerCAmelCase 						=							{'unk_token': '<unk>'}

      lowerCAmelCase 						=							os.path.join(self.tmpdirname      , VOCAB_FILES_NAMES['vocab_file']	)
      lowerCAmelCase 						=							os.path.join(self.tmpdirname      , VOCAB_FILES_NAMES['merges_file']	)

      with open(self.vocab_file      , 'w'      , encoding='utf-8'	) as fp:
          for token in vocab_tokens:
              fp.write(F'{token} {vocab_tokens[token]}\n'	)
      with open(self.merges_file      , 'w'      , encoding='utf-8'	) as fp:
          fp.write('\n'.join(_SCREAMING_SNAKE_CASE	)	)

  def   _SCREAMING_SNAKE_CASE				(				self      , **_SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

      kwargs.update(self.special_tokens_map	)
      return PhobertTokenizer.from_pretrained(self.tmpdirname      , **_SCREAMING_SNAKE_CASE	)

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

      lowerCAmelCase 						=							'Tôi là VinAI Research'
      lowerCAmelCase 						=							'T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'
      return input_text, output_text


  def   _SCREAMING_SNAKE_CASE				(				self	):





      '''simple docstring'''

      lowerCAmelCase 						=							PhobertTokenizer(self.vocab_file      , self.merges_file      , **self.special_tokens_map	)
      lowerCAmelCase 						=							'Tôi là VinAI Research'
      lowerCAmelCase 						=							'T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'.split()
      lowerCAmelCase 						=							tokenizer.tokenize(_SCREAMING_SNAKE_CASE	)
      print(_SCREAMING_SNAKE_CASE	)
      self.assertListEqual(_SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE	)

      lowerCAmelCase 						=							tokens + [tokenizer.unk_token]

      lowerCAmelCase 						=							[4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE	)      , _SCREAMING_SNAKE_CASE	)








'''simple docstring'''



def       snake_case   (	snake_case      : list					,		snake_case      : list					,		snake_case      : int					,		snake_case      : int					,		snake_case      : int			) ->  int:


    """simple docstring"""


    if index == number_of_items:
        return 0
    lowerCAmelCase 						=							0
    lowerCAmelCase 						=							0
    lowerCAmelCase 						=							knapsack(snake_case					,		snake_case					,		snake_case					,		snake_case					,		index + 1			)
    if weights[index] <= max_weight:
        lowerCAmelCase 						=							values[index] + knapsack(
            snake_case					,		snake_case					,		snake_case					,		max_weight - weights[index]					,		index + 1			)
    return max(snake_case					,		snake_case			)


if __name__ == "__main__":
     import doctest

     doctest.testmod()





