





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				:	List[Any]      						=  logging.get_logger(__name__)

lowercase				:	List[Any]      						=  {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

lowercase				:	Optional[Any]      						=  {
    """tokenizer_file""": {
        """EleutherAI/gpt-neox-20b""": """https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json""",
    },
}

lowercase				:	str      						=  {
    """gpt-neox-20b""": 2_0_4_8,
}





class 			A__   (							__UpperCAmelCase     ):




   """simple docstring"""



   __A       :    Optional[Any]	  =  VOCAB_FILES_NAMES
   __A       :    str	  =  PRETRAINED_VOCAB_FILES_MAP
   __A       :    Union[str, Any]	  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __A       :    Any	  =  ['''input_ids''', '''attention_mask''']

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







          '''simple docstring'''

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

          a__						:     Dict			=    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
          if pre_tok_state.get('add_prefix_space' ,  lowercase) != add_prefix_space:
                 a__						:     int			=    getattr(lowercase ,  pre_tok_state.pop('type'))
                 a__						:     Union[str, Any]			=    add_prefix_space
                 a__						:     Optional[Any]			=    pre_tok_class(**lowercase)

          a__						:     Tuple			=    add_prefix_space

   def 							__lowercase		( self ,  lowercase ,  lowercase = None)      ->						Tuple[str]:







          '''simple docstring'''

          a__						:     Optional[Any]			=    self._tokenizer.model.save(lowercase ,  name=lowercase)
          return tuple(lowercase)

   def 							__lowercase		( self ,  lowercase)      ->						List[int]:







          '''simple docstring'''

          a__						:     Optional[Any]			=    []
          for is_user, text in conversation.iter_texts():
                 input_ids.extend(self.encode(lowercase ,  add_special_tokens=lowercase) + [self.eos_token_id])

          if len(lowercase) > self.model_max_length:
                 a__						:     List[Any]			=    input_ids[-self.model_max_length :]
          return input_ids









import re

from filelock import FileLock


try:
    import nltk

    lowercase				:	List[str]      						=  True
except (ImportError, ModuleNotFoundError):
    lowercase				:	Tuple      						=  False

if NLTK_AVAILABLE:
    with FileLock(""".lock""") as lock:
        nltk.download("""punkt""", quiet=True)



def A_     (		A__    )  ->		str:
       re.sub('<n>'		,				''		,				A__    )  # remove pegasus newline char
       assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
       return "\n".join(nltk.sent_tokenize(A__    )    )


