





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_				= logging.get_logger(__name__)

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

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

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

class 					A     (UpperCAmelCase__					):
      _SCREAMING_SNAKE_CASE       =				VOCAB_FILES_NAMES
      _SCREAMING_SNAKE_CASE       =				PRETRAINED_VOCAB_FILES_MAP
      _SCREAMING_SNAKE_CASE       =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _SCREAMING_SNAKE_CASE       =				["""input_ids""", """attention_mask"""]



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



             '''simple docstring'''

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

             _snake_case   :				int  					=    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
             if pre_tok_state.get('''add_prefix_space'''  ,	_UpperCAmelCase       ) != add_prefix_space:
                    _snake_case   :				str  					=    getattr(_UpperCAmelCase  ,	pre_tok_state.pop('''type'''       )       )
                    _snake_case   :				Any  					=    add_prefix_space
                    _snake_case   :				List[str]  					=    pre_tok_class(**_UpperCAmelCase       )

             _snake_case   :				Any  					=    add_prefix_space



      def  __a			(       self  ,	lowercase_  ,	lowercase_ = None       )   -> Tuple[str]:



             '''simple docstring'''

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



      def  __a			(       self  ,	lowercase_       )   -> List[int]:



             '''simple docstring'''

             _snake_case   :				Tuple  					=    []
             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:
                    _snake_case   :				List[str]  					=    input_ids[-self.model_max_length :]
             return input_ids














import numpy as np






def      _snake_case     (__lowercase):
   return 1 / (1 + np.exp(-vector))






def      _snake_case     (__lowercase):
   return vector * sigmoid(__lowercase)


if __name__ == "__main__":
 import doctest

 doctest.testmod()





