"""simple docstring"""





def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    List[str]:
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    0
							while num > 0:
														digit_sum += num % 10
														num //= 10
							return digit_sum


def      lowerCamelCase_(__SCREAMING_SNAKE_CASE = 100  )->    Any:
							_SCREAMING_SNAKE_CASE		:						str			  =    1
							_SCREAMING_SNAKE_CASE		:						Dict			  =    2

							for i in range(2     ,	max_n + 1  ):
														_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    pre_numerator
														_SCREAMING_SNAKE_CASE		:						List[Any]			  =    2 * i // 3 if i % 3 == 0 else 1
														_SCREAMING_SNAKE_CASE		:						str			  =    cur_numerator
														_SCREAMING_SNAKE_CASE		:						Any			  =    e_cont * pre_numerator + temp

							return sum_digits(_lowerCamelCase  )


if __name__ == "__main__":
			print(F"{solution() = }")



"""simple docstring"""





from typing import TYPE_CHECKING

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


lowerCAmelCase_     =	{'''configuration_unispeech''': ['''UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''UniSpeechConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase_     =	[
			    '''UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''UniSpeechForCTC''',
			    '''UniSpeechForPreTraining''',
			    '''UniSpeechForSequenceClassification''',
			    '''UniSpeechModel''',
			    '''UniSpeechPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_unispeech import (
						    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
						    UniSpeechForCTC,
						    UniSpeechForPreTraining,
						    UniSpeechForSequenceClassification,
						    UniSpeechModel,
						    UniSpeechPreTrainedModel,
						)

else:
			import sys

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


