





'''simple docstring'''






import math
from decimal import Decimal, getcontext







def 				_a	(					_lowerCamelCase = 400_0000   )   ->							int:



			"""simple docstring"""


			try:
						__snake_case				:			Optional[int]       			=    int(_lowerCamelCase   )
			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."""   )
			__snake_case				:			Union[str, Any]       			=    100
			__snake_case				:			Optional[int]       			=    (Decimal(5   ) ** Decimal(0.5   ) + 1) / Decimal(2   )

			__snake_case				:			Dict       			=    (math.floor(math.log(n * (phi + 2)						,  _lowerCamelCase   ) - 1   ) // 3) * 3 + 2
			__snake_case				:			Dict       			=    Decimal(round(phi ** Decimal(index + 1   )   )   ) / (phi + 2)
			__snake_case				:			Optional[Any]       			=    num // 2
			return int(_lowerCamelCase   )


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









'''simple docstring'''






from typing import TYPE_CHECKING

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


__UpperCamelCase										=  {
    "configuration_swin2sr": ["SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swin2SRConfig"],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__UpperCamelCase										=  [
	    "SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "Swin2SRForImageSuperResolution",
	    "Swin2SRModel",
	    "Swin2SRPreTrainedModel",
	]


try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__UpperCamelCase										=  ["Swin2SRImageProcessor"]


if TYPE_CHECKING:
	from .configuration_swinasr import SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinaSRConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_swinasr import (
		    SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST,
		    SwinaSRForImageSuperResolution,
		    SwinaSRModel,
		    SwinaSRPreTrainedModel,
		)

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .image_processing_swinasr import SwinaSRImageProcessor


else:
	import sys

	__UpperCamelCase										=  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


