



from __future__ import annotations






def        a( A			:       float | int					,	A			:       float | int					,	A			:       float | int					,	)						->			Optional[int]:
					"""simple docstring"""





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


if __name__ == "__main__":
				import doctest

				doctest.testmod()

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





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


A_		:  Any										=  {
    '''configuration_align''': [
        '''ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''AlignConfig''',
        '''AlignTextConfig''',
        '''AlignVisionConfig''',
    ],
    '''processing_align''': ['''AlignProcessor'''],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A_		:  Optional[int]										=  [
         '''ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''AlignModel''',
         '''AlignPreTrainedModel''',
         '''AlignTextModel''',
         '''AlignVisionModel''',
     ]

if TYPE_CHECKING:
     from .configuration_align import (
         ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
         AlignConfig,
         AlignTextConfig,
         AlignVisionConfig,
     )
     from .processing_align import AlignProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_align import (
              ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
              AlignModel,
              AlignPreTrainedModel,
              AlignTextModel,
              AlignVisionModel,
          )

else:
     import sys

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

