
"""simple docstring"""
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


lowercase_       :						str     					=	logging.get_logger(__name__)

lowercase_       :						Optional[Any]     					=	{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

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

lowercase_       :						Optional[int]     					=	{
    '''gpt-neox-20b''': 20_48,
}
class 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE  ):
     A__      =			VOCAB_FILES_NAMES
     A__      =			PRETRAINED_VOCAB_FILES_MAP
     A__      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A__      =			["""input_ids""", """attention_mask"""]
     def __init__(     self  ,     snake_case__=None  ,     snake_case__=None  ,     snake_case__=None  ,     snake_case__="<|endoftext|>"  ,     snake_case__="<|endoftext|>"  ,     snake_case__="<|endoftext|>"  ,     snake_case__=False  ,     **snake_case__  ,     ):




       """simple docstring"""


       super().__init__(
           snake_case__  ,     snake_case__  ,     tokenizer_file=snake_case__  ,     unk_token=snake_case__  ,     bos_token=snake_case__  ,     eos_token=snake_case__  ,     add_prefix_space=snake_case__  ,     **snake_case__  ,     )

       _SCREAMING_SNAKE_CASE   :				List[Any]							    = json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
       if pre_tok_state.get("add_prefix_space"  ,     snake_case__				) != add_prefix_space:
         _SCREAMING_SNAKE_CASE   :				Optional[int]							    = getattr(snake_case__  ,     pre_tok_state.pop("type"				)				)
         _SCREAMING_SNAKE_CASE   :				int							    = add_prefix_space
         _SCREAMING_SNAKE_CASE   :				Any							    = pre_tok_class(**snake_case__				)

       _SCREAMING_SNAKE_CASE   :				List[str]							    = add_prefix_space
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__  ,     snake_case__ = None				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Any							    = self._tokenizer.model.save(snake_case__  ,     name=snake_case__				)
       return tuple(snake_case__				)




     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = []
       for is_user, text in conversation.iter_texts():
         input_ids.extend(self.encode(snake_case__  ,     add_special_tokens=snake_case__				) + [self.eos_token_id]				)

       if len(snake_case__				) > self.model_max_length:
         _SCREAMING_SNAKE_CASE   :				str							    = input_ids[-self.model_max_length :]
       return input_ids





"""simple docstring"""
from __future__ import annotations

lowercase_       :						List[str]     					=	'''#'''
class 			UpperCamelCase      :
     def __init__(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				dict							    = {}
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = self._trie
       for char in text:
         if char not in trie:
           _SCREAMING_SNAKE_CASE   :				List[str]							    = {}
         _SCREAMING_SNAKE_CASE   :				List[str]							    = trie[char]
       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = True
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = self._trie
       for char in prefix:
         if char in trie:
           _SCREAMING_SNAKE_CASE   :				str							    = trie[char]
         else:
           return []
       return self._elements(snake_case__				)




     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = []
       for c, v in d.items():
         _SCREAMING_SNAKE_CASE   :				int							    = [" "] if c == END else [(c + s) for s in self._elements(snake_case__				)]
         result.extend(snake_case__				)
       return tuple(snake_case__				)
lowercase_       :						Union[str, Any]     					=	Trie()
lowercase_       :						Optional[Any]     					=	('''depart''', '''detergent''', '''daring''', '''dog''', '''deer''', '''deal''')
for word in words:
      trie.insert_word(word)





def    _lowerCAmelCase    (     lowerCamelCase__							:							str				)  ->    tuple:
  _SCREAMING_SNAKE_CASE   :				Dict							    = trie.find_word(lowerCamelCase__				)
  return tuple(string + word for word in suffixes				)





def    _lowerCAmelCase    (     )  ->    None:
  print(autocomplete_using_trie("de"				)				)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()



