



"""simple docstring"""







from __future__ import annotations


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase   ,				__UpperCAmelCase   ,				__UpperCAmelCase   ,				):
		if not all((nth_term, start_term_a, common_ratio_r)      ):
				return []
		_lowercase				: list[float | int]     =   []
		_lowercase				: Optional[int]     =   1
		_lowercase				: int     =   common_ratio_r
		for _ in range(int(__UpperCAmelCase      )      ):
				if not series:
						series.append(__UpperCAmelCase      )
				else:
						power += 1
						series.append(float(start_term_a * multiple      )      )
						_lowercase				: Optional[int]     =   pow(float(__UpperCAmelCase      )   ,				__UpperCAmelCase      )
		return series


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		UpperCAmelCase:  Any			     =				float(input("""Enter the last number (n term) of the Geometric Series"""))
		UpperCAmelCase:  Optional[Any]			     =				float(input("""Enter the starting term (a) of the Geometric Series"""))
		UpperCAmelCase:  Dict			     =				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))





'''simple docstring'''







from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers
class  SCREAMING_SNAKE_CASE__       :
	def __init__(				self  ,    __UpperCamelCase			):



					'''simple docstring'''






					__a       :     Union[str, Any]								=	vocab
					__a       :     int								=	normalizers.BertNormalizer(
					    clean_text=__UpperCamelCase  ,    handle_chinese_chars=__UpperCamelCase  ,    strip_accents=__UpperCamelCase  ,    lowercase=__UpperCamelCase  ,    )
					try:
									import rjieba
					except ImportError:
									raise ImportError(
									    """You need to install rjieba to use RoFormerTokenizer. """
									    """See https://pypi.org/project/rjieba/ for installation."""			)
					__a       :     Optional[Any]								=	rjieba
	def __lowerCamelCase    (				self  ,    __UpperCamelCase  ,    __UpperCamelCase			):



					'''simple docstring'''






					__a       :     Union[str, Any]								=	[]

					# this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
					for token, start, end in self.jieba.tokenize(str(__UpperCamelCase			)  ,    hmm=__UpperCamelCase			):
									if token in self.vocab:
													splits.append(normalized_string[start:end]			)
									else:
													__a       :     str								=	self.normalizers.normalize_str(__UpperCamelCase			).split()
													for token in token_list:
																	if token:
																					__a       :     str								=	start + len(__UpperCamelCase			)
																					splits.append(normalized_string[start:end]			)
																					__a       :     Union[str, Any]								=	end

        # this code test_alignement_methods can't pass but fast (300ms)
        # for token in self.jieba.cut(str(normalized_string), False):
        #     if token in self.vocab:
        #         splits.append(NormalizedString(token))
        #     else:
        #         token_list = self.normalizers.normalize_str(token).split()
        #         for token in token_list:
        #             if token:
        #                 splits.append(NormalizedString(token))

					return splits

	def __lowerCamelCase    (				self  ,    __UpperCamelCase			):



					'''simple docstring'''






					pretok.split(self.jieba_split			)