





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


__UpperCAmelCase			:  str										=				logging.get_logger(__name__)

__UpperCAmelCase			:  Dict										=				{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

__UpperCAmelCase			:  Optional[int]										=				{
    'vocab_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
    },
}

__UpperCAmelCase			:  Optional[Any]										=				{
    'microsoft/mpnet-base': 512,
}

__UpperCAmelCase			:  Any										=				{
    'microsoft/mpnet-base': {'do_lower_case': True},
}







class        __snake_case			(				UpperCAmelCase__     ):





       '''simple docstring'''







       lowerCAmelCase__ 						=	VOCAB_FILES_NAMES
       lowerCAmelCase__ 						=	PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase__ 						=	PRETRAINED_INIT_CONFIGURATION
       lowerCAmelCase__ 						=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase__ 						=	MPNetTokenizer
       lowerCAmelCase__ 						=	["""input_ids""", """attention_mask"""]




       def __init__(    self					:       Tuple				,							A					:       int=None				,							A					:       Optional[int]=None				,							A					:       Dict=True				,							A					:       Optional[int]="<s>"				,							A					:       Any="</s>"				,							A					:       List[Any]="</s>"				,							A					:       Union[str, Any]="<s>"				,							A					:       Any="[UNK]"				,							A					:       Any="<pad>"				,							A					:       Union[str, Any]="<mask>"				,							A					:       Optional[int]=True				,							A					:       str=None				,							**A					:       Optional[Any]				,							):
         super().__init__(
             A				,							tokenizer_file=A				,							do_lower_case=A				,							bos_token=A				,							eos_token=A				,							sep_token=A				,							cls_token=A				,							unk_token=A				,							pad_token=A				,							mask_token=A				,							tokenize_chinese_chars=A				,							strip_accents=A				,							**A				,							)

         __snake_case:		Dict					    =		json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
         if (
             pre_tok_state.get("""lowercase"""				,							A						) != do_lower_case
             or pre_tok_state.get("""strip_accents"""				,							A						) != strip_accents
         ):
           __snake_case:		Optional[int]					    =		getattr(A				,							pre_tok_state.pop("""type"""						)						)
           __snake_case:		int					    =		do_lower_case
           __snake_case:		Any					    =		strip_accents
           __snake_case:		int					    =		pre_tok_class(**A						)

         __snake_case:		List[str]					    =		do_lower_case




       @property
       def 				UpperCAmelCase__					(    self					:       Tuple						):
         if self._mask_token is None:
           if self.verbose:
             logger.error("""Using mask_token, but it is not set yet."""						)
           return None
         return str(self._mask_token						)




       @mask_token.setter
       def 				UpperCAmelCase__					(    self					:       str				,							A					:       str						):
         __snake_case:		Optional[int]					    =		AddedToken(A				,							lstrip=A				,							rstrip=A						) if isinstance(A				,							A						) else value
         __snake_case:		List[Any]					    =		value




       def 				UpperCAmelCase__					(    self					:       List[str]				,							A					:       Union[str, Any]				,							A					:       int=None						):
         __snake_case:		List[Any]					    =		[self.bos_token_id] + token_ids_a + [self.eos_token_id]
         if token_ids_a is None:
           return output

         return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]




       def 				UpperCAmelCase__					(    self					:       int				,							A					:       str				,							A					:       Optional[Any] = None						):
         __snake_case:		str					    =		[self.sep_token_id]
         __snake_case:		List[Any]					    =		[self.cls_token_id]

         if token_ids_a is None:
           return len(cls + token_ids_a + sep						) * [0]
         return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]






       def 				UpperCAmelCase__					(    self					:       Union[str, Any]				,							A					:       Tuple				,							A					:       List[Any] = None						):
         __snake_case:		Optional[Any]					    =		self._tokenizer.model.save(A				,							name=A						)
         return tuple(A						)








from __future__ import annotations




def 		A						(  SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE     ,						):




			"""simple docstring"""


			if not all((nth_term, start_term_a, common_ratio_r)							):
						return []
			UpperCAmelCase__		:list[float | int] 		=    []
			UpperCAmelCase__		:str 		=    1
			UpperCAmelCase__		:Any 		=    common_ratio_r
			for _ in range(int(SCREAMING_SNAKE_CASE							)							):
						if not series:
									series.append(SCREAMING_SNAKE_CASE							)
						else:
									power += 1
									series.append(float(start_term_a * multiple							)							)
									UpperCAmelCase__		:str 		=    pow(float(SCREAMING_SNAKE_CASE							)     ,						SCREAMING_SNAKE_CASE							)
			return series


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						__snake_case					:							Optional[int]           =							float(input('Enter the last number (n term) of the Geometric Series'))
						__snake_case					:							List[str]           =							float(input('Enter the starting term (a) of the Geometric Series'))
						__snake_case					:							Optional[int]           =							float(
						    input('Enter the common ratio between two terms (r) of the Geometric Series')
						)
						print('Formula of Geometric Series => a + ar + ar^2 ... +ar^n')
						print(geometric_series(nth_term, start_term_a, common_ratio_r))





