




"""simple docstring"""

def    snake_case__						(							lowerCAmelCase :		str		):







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




def    snake_case__						(							lowerCAmelCase :		Optional[Any]		):







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


if __name__ == "__main__":
		import doctest

		doctest.testmod()










"""simple docstring"""


from typing import TYPE_CHECKING

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


lowercase_								=	{
    'configuration_gptsan_japanese': ['GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTSanJapaneseConfig'],
    'tokenization_gptsan_japanese': ['GPTSanJapaneseTokenizer'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowercase_								=	[
           'GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
           'GPTSanJapaneseForConditionalGeneration',
           'GPTSanJapaneseModel',
           'GPTSanJapanesePreTrainedModel',
       ]
       lowercase_								=	[
           'GPTSanJapaneseTokenizer',
       ]


if TYPE_CHECKING:
       from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
       from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_gptsan_japanese import (
                  GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GPTSanJapaneseForConditionalGeneration,
                  GPTSanJapaneseModel,
                  GPTSanJapanesePreTrainedModel,
              )
              from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
       import sys

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




