






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


SCREAMING_SNAKE_CASE__      :			str							=		logging.get_logger(__name__)

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

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

SCREAMING_SNAKE_CASE__      :			List[Any]							=		{
    "gpt-neox-20b": 20_48,
}
class 						lowerCamelCase_				(      _lowerCamelCase ):
    a__					       =  VOCAB_FILES_NAMES
    a__					       =  PRETRAINED_VOCAB_FILES_MAP
    a__					       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a__					       =  ['''input_ids''', '''attention_mask''']







    def __init__(						self       ,					__lowerCAmelCase=None       ,					__lowerCAmelCase=None       ,					__lowerCAmelCase=None       ,					__lowerCAmelCase="<|endoftext|>"       ,					__lowerCAmelCase="<|endoftext|>"       ,					__lowerCAmelCase="<|endoftext|>"       ,					__lowerCAmelCase=False       ,					**__lowerCAmelCase       ,					):
        """simple docstring"""
        super().__init__(
            A__       ,					A__       ,					tokenizer_file=A__       ,					unk_token=A__       ,					bos_token=A__       ,					eos_token=A__       ,					add_prefix_space=A__       ,					**A__       ,					)

        __magic_name__		:List[Any]        =      json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
        if pre_tok_state.get('''add_prefix_space'''       ,					A__     ) != add_prefix_space:
            __magic_name__		:Tuple        =      getattr(A__       ,					pre_tok_state.pop('''type'''     )     )
            __magic_name__		:Any        =      add_prefix_space
            __magic_name__		:Optional[Any]        =      pre_tok_class(**A__     )

        __magic_name__		:Union[str, Any]        =      add_prefix_space







    def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase = None     ):
        """simple docstring"""
        __magic_name__		:Optional[int]        =      self._tokenizer.model.save(A__       ,					name=A__     )
        return tuple(A__     )







    def 			A	(						self       ,					__lowerCAmelCase     ):
        """simple docstring"""
        __magic_name__		:int        =      []
        for is_user, text in conversation.iter_texts():
            input_ids.extend(self.encode(A__       ,					add_special_tokens=A__     ) + [self.eos_token_id]     )

        if len(A__     ) > self.model_max_length:
            __magic_name__		:str        =      input_ids[-self.model_max_length :]
        return input_ids














from __future__ import annotations

from math import pi, sqrt

def      __lowercase					( snake_case,  snake_case ):







				"""simple docstring"""






				if inductance <= 0:
								raise ValueError('''Inductance cannot be 0 or negative''' )

				elif capacitance <= 0:
								raise ValueError('''Capacitance cannot be 0 or negative''' )

				else:
								return (
								    "Resonant frequency",
								    float(1 / (2 * pi * (sqrt(inductance * capacitance ))) ),
								)


if __name__ == "__main__":
					import doctest

					doctest.testmod()






