






"""simple docstring"""



def 			_snake_case    (					lowerCamelCase__     :   int = 10**12  )    ->     int:
							lowerCamelCase_	:							Optional[int]									=1
							lowerCamelCase_	:							Union[str, Any]									=0

							lowerCamelCase_	:							List[Any]									=1
							lowerCamelCase_	:							Union[str, Any]									=1

							while numerator <= 2 * min_total - 1:
														prev_numerator += 2 * numerator
														numerator += 2 * prev_numerator

														prev_denominator += 2 * denominator
														denominator += 2 * prev_denominator

							return (denominator + 1) // 2


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












"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A__	:    List[Any]			 = {
    'configuration_lilt': ['LILT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LiltConfig'],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A__	:    List[str]			 = [
						    'LILT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'LiltForQuestionAnswering',
						    'LiltForSequenceClassification',
						    'LiltForTokenClassification',
						    'LiltModel',
						    'LiltPreTrainedModel',
						]

if TYPE_CHECKING:
						from .configuration_lilt import LILT_PRETRAINED_CONFIG_ARCHIVE_MAP, LiltConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_lilt import (
												    LILT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    LiltForQuestionAnswering,
												    LiltForSequenceClassification,
												    LiltForTokenClassification,
												    LiltModel,
												    LiltPreTrainedModel,
												)

else:
						import sys

						A__	:    Optional[Any]			 = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



