


'''simple docstring'''
import math
from decimal import Decimal, getcontext




def      __snake_case       (       lowerCamelCase_ :				int = 400_0000						):







				try:
								__magic_name__	  = int(_A						)
				except (TypeError, ValueError):
								raise TypeError("Parameter n must be int or castable to int."						)
				if n <= 0:
								raise ValueError("Parameter n must be greater than or equal to one."						)
				__magic_name__	  = 100
				__magic_name__	  = (Decimal(5						) ** Decimal(0.5						) + 1) / Decimal(2						)

				__magic_name__	  = (math.floor(math.log(n * (phi + 2)	,  _A						) - 1						) // 3) * 3 + 2
				__magic_name__	  = Decimal(round(phi ** Decimal(index + 1						)						)						) / (phi + 2)
				__magic_name__	  = num // 2
				return int(_A						)


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







'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__magic_name__   :   List[Any]  							={'configuration_yoso': ['YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP', 'YosoConfig']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__magic_name__   :   Union[str, Any]  							=[
						    'YOSO_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'YosoForMaskedLM',
						    'YosoForMultipleChoice',
						    'YosoForQuestionAnswering',
						    'YosoForSequenceClassification',
						    'YosoForTokenClassification',
						    'YosoLayer',
						    'YosoModel',
						    'YosoPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_yoso import (
												    YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
												    YosoForMaskedLM,
												    YosoForMultipleChoice,
												    YosoForQuestionAnswering,
												    YosoForSequenceClassification,
												    YosoForTokenClassification,
												    YosoLayer,
												    YosoModel,
												    YosoPreTrainedModel,
												)


else:
						import sys

						__magic_name__   :   Optional[int]  							=_LazyModule(__name__, globals()['__file__'], _import_structure)



