
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__     :		Union[str, Any]        = logging.get_logger(__name__)

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



class    _snake_case (						UpperCAmelCase_				):
 __lowerCAmelCase	:  Tuple	   =      VOCAB_FILES_NAMES
 __lowerCAmelCase	:  List[str]	   =      PRETRAINED_VOCAB_FILES_MAP
 __lowerCAmelCase	:  Optional[int]	   =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCAmelCase	:  Dict	   =      ['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__	: List[str]     		=   json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
   if pre_tok_state.get("""add_prefix_space"""       ,	SCREAMING_SNAKE_CASE_) != add_prefix_space:
     lowercase__	: Optional[Any]     		=   getattr(SCREAMING_SNAKE_CASE_       ,	pre_tok_state.pop("""type"""))
     lowercase__	: List[Any]     		=   add_prefix_space
     lowercase__	: Union[str, Any]     		=   pre_tok_class(**SCREAMING_SNAKE_CASE_)

   lowercase__	: Union[str, Any]     		=   add_prefix_space


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


   '''simple docstring'''




   lowercase__	: Union[str, Any]     		=   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__	: Dict     		=   []
   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__	: Any     		=   input_ids[-self.model_max_length :]
   return input_ids














"""simple docstring"""



from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCAmelCase	:	Any				=      logging.get_logger(__name__)

_lowerCAmelCase	:	Union[str, Any]				=      {
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}




class 			lowerCAmelCase__			(    __magic_name__   ):
   SCREAMING_SNAKE_CASE_    ='''megatron-bert'''
   def __init__(		self      :	Tuple							,			snake_case__      :	List[Any]=2_9_0_5_6							,			snake_case__      :	Any=1_0_2_4							,			snake_case__      :	Tuple=2_4							,			snake_case__      :	Optional[Any]=1_6							,			snake_case__      :	List[str]=4_0_9_6							,			snake_case__      :	Union[str, Any]="gelu"							,			snake_case__      :	int=0.1							,			snake_case__      :	Dict=0.1							,			snake_case__      :	str=5_1_2							,			snake_case__      :	Optional[Any]=2							,			snake_case__      :	Any=0.02							,			snake_case__      :	Optional[Any]=1e-12							,			snake_case__      :	str=0							,			snake_case__      :	Optional[Any]="absolute"							,			snake_case__      :	Optional[Any]=True							,			**snake_case__      :	Any							,			):


        '''simple docstring'''
        super().__init__(pad_token_id=snake_case__							,			**snake_case__							)

        UpperCAmelCase__						:    Union[str, Any]							=							vocab_size
        UpperCAmelCase__						:    Union[str, Any]							=							hidden_size
        UpperCAmelCase__						:    Optional[Any]							=							num_hidden_layers
        UpperCAmelCase__						:    Tuple							=							num_attention_heads
        UpperCAmelCase__						:    List[Any]							=							hidden_act
        UpperCAmelCase__						:    Optional[int]							=							intermediate_size
        UpperCAmelCase__						:    Dict							=							hidden_dropout_prob
        UpperCAmelCase__						:    str							=							attention_probs_dropout_prob
        UpperCAmelCase__						:    str							=							max_position_embeddings
        UpperCAmelCase__						:    List[str]							=							type_vocab_size
        UpperCAmelCase__						:    Tuple							=							initializer_range
        UpperCAmelCase__						:    str							=							layer_norm_eps
        UpperCAmelCase__						:    List[Any]							=							position_embedding_type
        UpperCAmelCase__						:    Dict							=							use_cache


