



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


UpperCamelCase__ =						logging.get_logger(__name__)

UpperCamelCase__ =						{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

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

UpperCamelCase__ =						{
    'gpt-neox-20b': 20_48,
}
class 			_lowerCAmelCase   ( UpperCamelCase_			):






   """simple docstring"""





   lowercase__      :  Union[str, Any]      =			VOCAB_FILES_NAMES
   lowercase__      :  List[str]      =			PRETRAINED_VOCAB_FILES_MAP
   lowercase__      :  List[Any]      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowercase__      :  str      =			["""input_ids""", """attention_mask"""]





   def __init__(				self	:       Dict			,     lowercase	:       Any=None			,     lowercase	:       Union[str, Any]=None			,     lowercase	:       Optional[Any]=None			,     lowercase	:       List[Any]="<|endoftext|>"			,     lowercase	:       Any="<|endoftext|>"			,     lowercase	:       Optional[Any]="<|endoftext|>"			,     lowercase	:       Union[str, Any]=False			,     **lowercase	:       Optional[Any]			,     )						->					List[Any]:
         """simple docstring"""







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

         __lowercase					=				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()   )
         if pre_tok_state.get("""add_prefix_space"""			,     UpperCamelCase__   ) != add_prefix_space:
               __lowercase					=				getattr(UpperCamelCase__			,     pre_tok_state.pop("""type"""   )   )
               __lowercase					=				add_prefix_space
               __lowercase					=				pre_tok_class(**UpperCamelCase__   )

         __lowercase					=				add_prefix_space





   def 		snake_case__			(				self	:       Optional[int]			,     lowercase	:       str			,     lowercase	:       Optional[str] = None   )						->					List[str]:
         """simple docstring"""







         __lowercase					=				self._tokenizer.model.save(UpperCamelCase__			,     name=UpperCamelCase__   )
         return tuple(UpperCamelCase__   )







   def 		snake_case__			(				self	:       Optional[Any]			,     lowercase	:       "Conversation"   )						->					Dict:
         """simple docstring"""







         __lowercase					=				[]
         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:
               __lowercase					=				input_ids[-self.model_max_length :]
         return input_ids










def  UpperCAmelCase__    (    lowercase__						,       lowercase__						,       lowercase__   ) ->      float:
						__lowercase					=				(num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
						# formula for sum of series
						return total






def  UpperCAmelCase__    (    ) ->      List[str]:
						print(sum_of_series(1						,       1						,       10   )   )


if __name__ == "__main__":
			import doctest

			doctest.testmod()





