




from __future__ import annotations


def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_     ,   snake_case_     ,   ):

						'''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(snake_case_						)						):
												if not series:
																		series.append(snake_case_						)
												else:
																		power += 1
																		series.append(float(start_term_a * multiple						)						)
																		_UpperCAmelCase													=					pow(float(snake_case_						)     ,   snake_case_						)
						return series


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				lowercase_     :    Dict      =			float(input('Enter the last number (n term) of the Geometric Series'))
				lowercase_     :    List[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, is_vision_available


lowercase_     :    int      =			{
    'configuration_videomae': ['VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VideoMAEConfig'],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase_     :    List[str]      =			[
				    'VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'VideoMAEForPreTraining',
				    'VideoMAEModel',
				    'VideoMAEPreTrainedModel',
				    'VideoMAEForVideoClassification',
				]

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase_     :    Any      =			['VideoMAEFeatureExtractor']
				lowercase_     :    Dict      =			['VideoMAEImageProcessor']

if TYPE_CHECKING:
				from .configuration_videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_videomae import (
								    VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
								    VideoMAEForPreTraining,
								    VideoMAEForVideoClassification,
								    VideoMAEModel,
								    VideoMAEPreTrainedModel,
								)

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_videomae import VideoMAEFeatureExtractor
								from .image_processing_videomae import VideoMAEImageProcessor

else:
				import sys

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




