


'''simple docstring'''

from __future__ import annotations

def _SCREAMING_SNAKE_CASE				(A  ,			A  ,			A  ,			)	->	list[float | int]:






       """simple docstring"""







       if not all((nth_term, start_term_a, common_ratio_r)	):
              return []
       lowercase__				      =			[]
       lowercase__				      =			1
       lowercase__				      =			common_ratio_r
       for _ in range(int(A	)	):
              if not series:
                     series.append(A	)
              else:
                     power += 1
                     series.append(float(start_term_a * multiple	)	)
                     lowercase__				      =			pow(float(A	)  ,			A	)
       return series


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 lowerCamelCase							:       int  						=     float(input('Enter the last number (n term) of the Geometric Series'))
 lowerCamelCase							:       List[str]  						=     float(input('Enter the starting term (a) of the Geometric Series'))
 lowerCamelCase							:       str  						=     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 TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


lowerCamelCase							:       Tuple  						=     {'configuration_bert_generation': ['BertGenerationConfig']}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase							:       Union[str, Any]  						=     ['BertGenerationTokenizer']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase							:       Dict  						=     [
     'BertGenerationDecoder',
     'BertGenerationEncoder',
     'BertGenerationPreTrainedModel',
     'load_tf_weights_in_bert_generation',
 ]


if TYPE_CHECKING:
 from .configuration_bert_generation import BertGenerationConfig

 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_bert_generation import BertGenerationTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_bert_generation import (
      BertGenerationDecoder,
      BertGenerationEncoder,
      BertGenerationPreTrainedModel,
      load_tf_weights_in_bert_generation,
  )

else:
 import sys

 lowerCamelCase							:       int  						=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




