import decimal
def 							lowerCAmelCase(	):
					__a							=   0
					__a							=   decimal.Context(prec=105						)
					for i in range(2      ,				100						):
										__a							=   decimal.Decimal(__lowerCamelCase						)
										__a							=   number.sqrt(__lowerCamelCase						)
										if len(str(__lowerCamelCase						)						) > 1:
															answer += int(str(__lowerCamelCase						)[0]						)
															__a							=   str(__lowerCamelCase						)[2:101]
															answer += sum(int(__lowerCamelCase						) for x in sqrt_number_str						)
					return answer


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	print(F'''{solution() = }''')





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase_				:		int       						=       {
    """configuration_fsmt""": ["""FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """FSMTConfig"""],
    """tokenization_fsmt""": ["""FSMTTokenizer"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_				:		Dict       						=       ["""FSMTForConditionalGeneration""", """FSMTModel""", """PretrainedFSMTModel"""]


if TYPE_CHECKING:
	from .configuration_fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig
	from .tokenization_fsmt import FSMTTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel

else:
	import sys

	lowerCamelCase_				:		Dict       						=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




