





'''simple docstring'''

from __future__ import annotations







def       a__       (       lowercase      :  float | int,      lowercase      :  float | int,      lowercase      :  float | int,      )	->	list[float | int]:





     """simple docstring"""

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


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   lowercase__		:    str =       float(input('Enter the last number (n term) of the Geometric Series'))
   lowercase__		:    Union[str, Any] =       float(input('Enter the starting term (a) of the Geometric Series'))
   lowercase__		:    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))










'''simple docstring'''

from typing import TYPE_CHECKING

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


lowercase__		:    Union[str, Any] =       {
    'configuration_retribert': ['RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RetriBertConfig'],
    'tokenization_retribert': ['RetriBertTokenizer'],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__		:    Dict =       ['RetriBertTokenizerFast']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__		:    Tuple =       [
       'RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
       'RetriBertModel',
       'RetriBertPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_retribert import RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RetriBertConfig
   from .tokenization_retribert import RetriBertTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_retribert_fast import RetriBertTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_retribert import (
          RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          RetriBertModel,
          RetriBertPreTrainedModel,
      )

else:
   import sys

   lowercase__		:    Optional[Any] =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



