
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


lowerCamelCase__    :		Dict          =   logging.get_logger(__name__)

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

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

lowerCamelCase__    :		List[Any]          =   {
    """gpt-neox-20b""": 2_0_4_8,
}



class       _snake_case   (	UpperCAmelCase_							):
 __lowerCAmelCase  :     Any        =			VOCAB_FILES_NAMES
 __lowerCAmelCase  :     Tuple        =			PRETRAINED_VOCAB_FILES_MAP
 __lowerCAmelCase  :     Optional[int]        =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCAmelCase  :     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_					,  ):


   '''simple docstring'''




   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_					,  )

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

   lowercase__  :   int    		=      add_prefix_space


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_ = None):


   '''simple docstring'''




   lowercase__  :   Optional[int]    		=      self._tokenizer.model.save(SCREAMING_SNAKE_CASE_					,  name=SCREAMING_SNAKE_CASE_)
   return tuple(SCREAMING_SNAKE_CASE_)



 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   lowercase__  :   List[Any]    		=      []
   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:
     lowercase__  :   List[Any]    		=      input_ids[-self.model_max_length :]
   return input_ids








from abc import ABC, abstractmethod
from argparse import ArgumentParser



class       _snake_case   (	UpperCAmelCase_							):


 @staticmethod
 @abstractmethod
 def      lowercase__     (					SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   raise NotImplementedError()



 @abstractmethod
 def      lowercase__     (					self):


   '''simple docstring'''




   raise NotImplementedError()






