



import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
    from transformers.pipelines.conversational import Conversation


__UpperCAmelCase          =       logging.get_logger(__name__)

__UpperCAmelCase          =       {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__UpperCAmelCase          =       {
    '''tokenizer_file''': {
        '''EleutherAI/gpt-neox-20b''': '''https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json''',
    },
}

__UpperCAmelCase          =       {
    '''gpt-neox-20b''': 2_048,
}



class 				lowerCAmelCase_		(  a__							):
       UpperCAmelCase__				:					Union[str, Any]        =  VOCAB_FILES_NAMES
       UpperCAmelCase__				:					List[Any]        =  PRETRAINED_VOCAB_FILES_MAP
       UpperCAmelCase__				:					List[Any]        =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCAmelCase__				:					Optional[int]        =  ["input_ids", "attention_mask"]
       def __init__(			self,			SCREAMING_SNAKE_CASE_=None,			SCREAMING_SNAKE_CASE_=None,			SCREAMING_SNAKE_CASE_=None,			SCREAMING_SNAKE_CASE_="<|endoftext|>",			SCREAMING_SNAKE_CASE_="<|endoftext|>",			SCREAMING_SNAKE_CASE_="<|endoftext|>",			SCREAMING_SNAKE_CASE_=False,			**SCREAMING_SNAKE_CASE_,			)     ->		int:
          super().__init__(
              SCREAMING_SNAKE_CASE_,			SCREAMING_SNAKE_CASE_,			tokenizer_file=SCREAMING_SNAKE_CASE_,			unk_token=SCREAMING_SNAKE_CASE_,			bos_token=SCREAMING_SNAKE_CASE_,			eos_token=SCREAMING_SNAKE_CASE_,			add_prefix_space=SCREAMING_SNAKE_CASE_,			**SCREAMING_SNAKE_CASE_,			)

          UpperCamelCase    :  Tuple							=	json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
          if pre_tok_state.get('add_prefix_space',			SCREAMING_SNAKE_CASE_       ) != add_prefix_space:
             UpperCamelCase    :  str							=	getattr(SCREAMING_SNAKE_CASE_,			pre_tok_state.pop('type'       )       )
             UpperCamelCase    :  Union[str, Any]							=	add_prefix_space
             UpperCamelCase    :  Tuple							=	pre_tok_class(**SCREAMING_SNAKE_CASE_       )

          UpperCamelCase    :  Optional[int]							=	add_prefix_space
       def 					snake_case_       (			self,			SCREAMING_SNAKE_CASE_,			SCREAMING_SNAKE_CASE_ = None       )     ->		Tuple[str]:
          UpperCamelCase    :  int							=	self._tokenizer.model.save(SCREAMING_SNAKE_CASE_,			name=SCREAMING_SNAKE_CASE_       )
          return tuple(SCREAMING_SNAKE_CASE_       )






       def 					snake_case_       (			self,			SCREAMING_SNAKE_CASE_       )     ->		List[int]:
          UpperCamelCase    :  Tuple							=	[]
          for is_user, text in conversation.iter_texts():
             input_ids.extend(self.encode(SCREAMING_SNAKE_CASE_,			add_special_tokens=SCREAMING_SNAKE_CASE_       ) + [self.eos_token_id]       )

          if len(SCREAMING_SNAKE_CASE_       ) > self.model_max_length:
             UpperCamelCase    :  List[str]							=	input_ids[-self.model_max_length :]
          return input_ids








import functools
from typing import Any
def 		UpperCamelCase	(   snake_case__       :    str       ,     snake_case__       :    list[str]	)	->     bool:

   # Validation
   if not isinstance(snake_case__       ,     snake_case__	) or len(snake_case__	) == 0:
      raise ValueError('the string should be not empty string'	)

   if not isinstance(snake_case__       ,     snake_case__	) or not all(
       isinstance(snake_case__       ,     snake_case__	) and len(snake_case__	) > 0 for item in words	):
      raise ValueError('the words should be a list of non-empty strings'	)

   # Build trie
   UpperCamelCase    :  dict[str, Any]							=	{}
   UpperCamelCase    :  List[str]							=	'WORD_KEEPER'

   for word in words:
      UpperCamelCase    :  List[str]							=	trie
      for c in word:
         if c not in trie_node:
            UpperCamelCase    :  int							=	{}

         UpperCamelCase    :  str							=	trie_node[c]

      UpperCamelCase    :  Tuple							=	True

   UpperCamelCase    :  List[Any]							=	len(snake_case__	)

   # Dynamic programming method
   @functools.cache
   def is_breakable(snake_case__       :    int	) -> bool:
      if index == len_string:
         return True

      UpperCamelCase    :  Dict							=	trie
      for i in range(snake_case__       ,     snake_case__	):
         UpperCamelCase    :  List[Any]							=	trie_node.get(string[i]       ,     snake_case__	)

         if trie_node is None:
            return False

         if trie_node.get(snake_case__       ,     snake_case__	) and is_breakable(i + 1	):
            return True

      return False

   return is_breakable(0	)


if __name__ == "__main__":
    import doctest

    doctest.testmod()



