


def 		snake_case_   (				lowercase__     :    list     ):






				'''simple docstring'''






				if not isinstance(lowercase__       ,     lowercase__     ):
								raise ValueError("""Input series is not valid, valid series - [2, 4, 8]"""     )
				if len(lowercase__     ) == 0:
								raise ValueError("""Input list must be a non empty list"""     )
				if len(lowercase__     ) == 1:
								return True
				try:
								_lowerCAmelCase  						=series[1] / series[0]
								for index in range(len(lowercase__     ) - 1     ):
												if series[index + 1] / series[index] != common_ratio:
																return False
				except ZeroDivisionError:
								return False
				return True

def 		snake_case_   (				lowercase__     :    list     ):






				'''simple docstring'''






				if not isinstance(lowercase__       ,     lowercase__     ):
								raise ValueError("""Input series is not valid, valid series - [2, 4, 8]"""     )
				if len(lowercase__     ) == 0:
								raise ValueError("""Input list must be a non empty list"""     )
				_lowerCAmelCase  						=1
				for value in series:
								answer *= value
				return pow(lowercase__       ,     1 / len(lowercase__     )     )


if __name__ == "__main__":
		import doctest

		doctest.testmod()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__SCREAMING_SNAKE_CASE	:							Optional[int]           =  {'''configuration_sew_d''': ['''SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SEWDConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE	:							Dict           =  [
		    '''SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''SEWDForCTC''',
		    '''SEWDForSequenceClassification''',
		    '''SEWDModel''',
		    '''SEWDPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_sew_d import (
				    SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SEWDForCTC,
				    SEWDForSequenceClassification,
				    SEWDModel,
				    SEWDPreTrainedModel,
				)


else:
		import sys

		__SCREAMING_SNAKE_CASE	:							Tuple           =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

