


"""simple docstring"""
import decimal







def     _a					(   )     ->					Any:
							snake_case_     							=		0
							snake_case_     							=		decimal.Context(prec=105					)
							for i in range(2					,			100					):
														snake_case_     							=		decimal.Decimal(_lowerCamelCase					)
														snake_case_     							=		number.sqrt(_lowerCamelCase					)
														if len(str(_lowerCamelCase					)					) > 1:
																					answer += int(str(_lowerCamelCase					)[0]					)
																					snake_case_     							=		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


UpperCamelCase    				=		{'''configuration_dinat''': ['''DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DinatConfig''']}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase    				=		[
          '''DINAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''DinatForImageClassification''',
          '''DinatModel''',
          '''DinatPreTrainedModel''',
          '''DinatBackbone''',
      ]

if TYPE_CHECKING:
      from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_dinat import (
                DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                DinatBackbone,
                DinatForImageClassification,
                DinatModel,
                DinatPreTrainedModel,
            )

else:
      import sys

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



