



'''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_	 =						logging.get_logger(__name__)

lowercase_	 =						{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

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

lowercase_	 =						{
    "gpt-neox-20b": 2_048,
}






class __A    (						UpperCamelCase__		):



	'''simple docstring'''







	__lowerCamelCase					: Optional[Any]    = VOCAB_FILES_NAMES
	__lowerCamelCase					: Dict    = PRETRAINED_VOCAB_FILES_MAP
	__lowerCamelCase					: int    = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__lowerCamelCase					: Dict    = ['input_ids', 'attention_mask']



	def __init__(self				,     A=None				,     A=None				,     A=None				,     A="<|endoftext|>"				,     A="<|endoftext|>"				,     A="<|endoftext|>"				,     A=False				,     **A				,     )					->  Tuple:


						"""simple docstring"""



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

						_a											=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
						if pre_tok_state.get('''add_prefix_space'''				,     __A ) != add_prefix_space:
											_a											=						getattr(__A				,     pre_tok_state.pop('''type''' ) )
											_a											=						add_prefix_space
											_a											=						pre_tok_class(**__A )

						_a											=						add_prefix_space



	def       a__						(self				,     A				,     A = None )					->  Tuple[str]:


						"""simple docstring"""



						_a											=						self._tokenizer.model.save(__A				,     name=__A )
						return tuple(__A )



	def       a__						(self				,     A )					->  List[int]:


						"""simple docstring"""



						_a											=						[]
						for is_user, text in conversation.iter_texts():
											input_ids.extend(self.encode(__A				,     add_special_tokens=__A ) + [self.eos_token_id] )

						if len(__A ) > self.model_max_length:
											_a											=						input_ids[-self.model_max_length :]
						return input_ids








'''simple docstring'''





def lowerCAmelCase						(__A):



     """simple docstring"""



     _a											=						set()
     # To detect a back edge, keep track of vertices currently in the recursion stack
     _a											=						set()
     return any(
         node not in visited and depth_first_search(__A						,			__A						,			__A						,			__A)
         for node in graph)




def lowerCAmelCase						(__A						,			__A						,			__A						,			__A):



     """simple docstring"""



     visited.add(__A)
     rec_stk.add(__A)

     for node in graph[vertex]:
          if node not in visited:
               if depth_first_search(__A						,			__A						,			__A						,			__A):
                    return True
          elif node in rec_stk:
               return True

    # The node needs to be removed from recursion stack before function ends
     rec_stk.remove(__A)
     return False


if __name__ == "__main__":
  from doctest import testmod

  testmod()



