

'''simple docstring'''



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


_UpperCamelCase						:  Optional[int]							       =				logging.get_logger(__name__)

_UpperCamelCase						:  str							       =				{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

_UpperCamelCase						:  Tuple							       =				{
    "vocab_file": {
        "junnyu/roformer_chinese_small": "https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt",
        "junnyu/roformer_chinese_base": "https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt",
        "junnyu/roformer_chinese_char_small": (
            "https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt"
        ),
        "junnyu/roformer_chinese_char_base": (
            "https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt"
        ),
        "junnyu/roformer_small_discriminator": (
            "https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt"
        ),
        "junnyu/roformer_small_generator": (
            "https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt"
        ),
    }
}

_UpperCamelCase						:  int							       =				{
    "junnyu/roformer_chinese_small": 1536,
    "junnyu/roformer_chinese_base": 1536,
    "junnyu/roformer_chinese_char_small": 512,
    "junnyu/roformer_chinese_char_base": 512,
    "junnyu/roformer_small_discriminator": 128,
    "junnyu/roformer_small_generator": 128,
}


_UpperCamelCase						:  Optional[Any]							       =				{
    "junnyu/roformer_chinese_small": {"do_lower_case": True},
    "junnyu/roformer_chinese_base": {"do_lower_case": True},
    "junnyu/roformer_chinese_char_small": {"do_lower_case": True},
    "junnyu/roformer_chinese_char_base": {"do_lower_case": True},
    "junnyu/roformer_small_discriminator": {"do_lower_case": True},
    "junnyu/roformer_small_generator": {"do_lower_case": True},
}



class 				_snake_case					(   a_			):
  SCREAMING_SNAKE_CASE			:       int				=     VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE			:       Dict				=     PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE			:       List[str]				=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE			:       List[str]				=     PRETRAINED_INIT_CONFIGURATION
  SCREAMING_SNAKE_CASE			:       str				=     RoFormerTokenizer

  def __init__(				self      , _SCREAMING_SNAKE_CASE=None      , _SCREAMING_SNAKE_CASE=None      , _SCREAMING_SNAKE_CASE=True      , _SCREAMING_SNAKE_CASE="[UNK]"      , _SCREAMING_SNAKE_CASE="[SEP]"      , _SCREAMING_SNAKE_CASE="[PAD]"      , _SCREAMING_SNAKE_CASE="[CLS]"      , _SCREAMING_SNAKE_CASE="[MASK]"      , _SCREAMING_SNAKE_CASE=True      , _SCREAMING_SNAKE_CASE=None      , **_SCREAMING_SNAKE_CASE      , ):





      '''simple docstring'''

      super().__init__(
          _SCREAMING_SNAKE_CASE      , tokenizer_file=_SCREAMING_SNAKE_CASE      , do_lower_case=_SCREAMING_SNAKE_CASE      , unk_token=_SCREAMING_SNAKE_CASE      , sep_token=_SCREAMING_SNAKE_CASE      , pad_token=_SCREAMING_SNAKE_CASE      , cls_token=_SCREAMING_SNAKE_CASE      , mask_token=_SCREAMING_SNAKE_CASE      , tokenize_chinese_chars=_SCREAMING_SNAKE_CASE      , strip_accents=_SCREAMING_SNAKE_CASE      , **_SCREAMING_SNAKE_CASE      , )

      lowerCAmelCase 						=							json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
      if (
          pre_tok_state.get('lowercase'      , _SCREAMING_SNAKE_CASE	) != do_lower_case
          or pre_tok_state.get('strip_accents'      , _SCREAMING_SNAKE_CASE	) != strip_accents
      ):
          lowerCAmelCase 						=							getattr(_SCREAMING_SNAKE_CASE      , pre_tok_state.pop('type'	)	)
          lowerCAmelCase 						=							do_lower_case
          lowerCAmelCase 						=							strip_accents
          lowerCAmelCase 						=							pre_tok_class(**_SCREAMING_SNAKE_CASE	)

      lowerCAmelCase 						=							do_lower_case

  def __getstate__(				self	):





      '''simple docstring'''

      lowerCAmelCase 						=							self.__dict__.copy()
      lowerCAmelCase 						=							BertPreTokenizer()
      return state

  def __setstate__(				self      , _SCREAMING_SNAKE_CASE	):





      '''simple docstring'''

      lowerCAmelCase 						=							d
      lowerCAmelCase 						=							self.__dict__['_tokenizer'].get_vocab()
      lowerCAmelCase 						=							PreTokenizer.custom(JiebaPreTokenizer(_SCREAMING_SNAKE_CASE	)	)

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE=None	):





      '''simple docstring'''

      lowerCAmelCase 						=							[self.cls_token_id] + token_ids_a + [self.sep_token_id]

      if token_ids_a:
          output += token_ids_a + [self.sep_token_id]

      return output

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE = None	):





      '''simple docstring'''

      lowerCAmelCase 						=							[self.sep_token_id]
      lowerCAmelCase 						=							[self.cls_token_id]
      if token_ids_a is None:
          return len(cls + token_ids_a + sep	) * [0]
      return len(cls + token_ids_a + sep	) * [0] + len(token_ids_a + sep	) * [1]

  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE = None	):





      '''simple docstring'''

      lowerCAmelCase 						=							self._tokenizer.model.save(_SCREAMING_SNAKE_CASE      , name=_SCREAMING_SNAKE_CASE	)
      return tuple(_SCREAMING_SNAKE_CASE	)


  def   _SCREAMING_SNAKE_CASE				(				self      , _SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE=None      , _SCREAMING_SNAKE_CASE=None      , _SCREAMING_SNAKE_CASE=False      , **_SCREAMING_SNAKE_CASE      , ):





      '''simple docstring'''

      lowerCAmelCase 						=							BertPreTokenizer()
      return super().save_pretrained(_SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE      , _SCREAMING_SNAKE_CASE      , _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()





