





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


__A									=				logging.get_logger(__name__)

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

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

__A									=				{
    "gpt-neox-20b": 2048,
}



class    _SCREAMING_SNAKE_CASE						(	__SCREAMING_SNAKE_CASE    ):







 '''simple docstring'''
 lowercase_		=			VOCAB_FILES_NAMES
 lowercase_		=			PRETRAINED_VOCAB_FILES_MAP
 lowercase_		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_		=			["input_ids", "attention_mask"]

 def __init__(self				:   Dict       , UpperCAmelCase_				:   Tuple=None       , UpperCAmelCase_				:   Optional[int]=None       , UpperCAmelCase_				:   str=None       , UpperCAmelCase_				:   Union[str, Any]="<|endoftext|>"       , UpperCAmelCase_				:   Dict="<|endoftext|>"       , UpperCAmelCase_				:   Any="<|endoftext|>"       , UpperCAmelCase_				:   str=False       , **UpperCAmelCase_				:   Dict       , )       ->Any:



   '''simple docstring'''



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

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

   lowerCamelCase__:      Optional[int]			  =add_prefix_space

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[int]       , UpperCAmelCase_				:   str       , UpperCAmelCase_				:   Optional[str] = None)       ->Tuple[str]:



   '''simple docstring'''



   lowerCamelCase__:      List[Any]			  =self._tokenizer.model.save(UpperCAmelCase_       , name=UpperCAmelCase_)
   return tuple(UpperCAmelCase_)







 def 							SCREAMING_SNAKE_CASE_					(self				:   Dict       , UpperCAmelCase_				:   "Conversation")       ->List[int]:



   '''simple docstring'''



   lowerCamelCase__:      Optional[int]			  =[]
   for is_user, text in conversation.iter_texts():
     input_ids.extend(self.encode(UpperCAmelCase_       , add_special_tokens=UpperCAmelCase_) + [self.eos_token_id])

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








class    _SCREAMING_SNAKE_CASE						:







 '''simple docstring'''

 def __init__(self				:   Optional[Any]       , UpperCAmelCase_				:   int)       ->Optional[int]:



   '''simple docstring'''



   lowerCamelCase__:      Any			  =n
   lowerCamelCase__:      Tuple			  =[None] * self.n
   lowerCamelCase__:      str			  =0  # index of the first element
   lowerCamelCase__:      Tuple			  =0
   lowerCamelCase__:      Optional[Any]			  =0

 def __len__(self				:   str)       ->int:



   '''simple docstring'''



   return self.size

 def 							SCREAMING_SNAKE_CASE_					(self				:   int)       ->bool:



   '''simple docstring'''



   return self.size == 0

 def 							SCREAMING_SNAKE_CASE_					(self				:   List[str])       ->str:



   '''simple docstring'''



   return False if self.is_empty() else self.array[self.front]

 def 							SCREAMING_SNAKE_CASE_					(self				:   int       , UpperCAmelCase_				:   Optional[int])       ->str:



   '''simple docstring'''



   if self.size >= self.n:
     raise Exception("QUEUE IS FULL")

   lowerCamelCase__:      List[Any]			  =data
   lowerCamelCase__:      Dict			  =(self.rear + 1) % self.n
   self.size += 1
   return self







 def 							SCREAMING_SNAKE_CASE_					(self				:   Tuple)       ->Tuple:



   '''simple docstring'''



   if self.size == 0:
     raise Exception("UNDERFLOW")

   lowerCamelCase__:      Optional[Any]			  =self.array[self.front]
   lowerCamelCase__:      Optional[int]			  =None
   lowerCamelCase__:      Dict			  =(self.front + 1) % self.n
   self.size -= 1
   return temp

