
import decimal







def 							UpperCAmelCase				(     )->		List[str]:







					'''simple docstring'''



					SCREAMING_SNAKE_CASE_	      =       0
					SCREAMING_SNAKE_CASE_	      =       decimal.Context(prec=105      )
					for i in range(2				,100      ):
										SCREAMING_SNAKE_CASE_	      =       decimal.Decimal(lowercase_      )
										SCREAMING_SNAKE_CASE_	      =       number.sqrt(lowercase_      )
										if len(str(lowercase_      )      ) > 1:
															answer += int(str(lowercase_      )[0]      )
															SCREAMING_SNAKE_CASE_	      =       str(lowercase_      )[2:101]
															answer += sum(int(lowercase_      ) 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_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


A_														=      {
    "configuration_switch_transformers": [
        "SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SwitchTransformersConfig",
        "SwitchTransformersOnnxConfig",
    ]
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A_														=      [
		    "SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "SwitchTransformersEncoderModel",
		    "SwitchTransformersForConditionalGeneration",
		    "SwitchTransformersModel",
		    "SwitchTransformersPreTrainedModel",
		    "SwitchTransformersTop1Router",
		    "SwitchTransformersSparseMLP",
		]


if TYPE_CHECKING:
		from .configuration_switch_transformers import (
		    SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    SwitchTransformersConfig,
		    SwitchTransformersOnnxConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_switch_transformers import (
				    SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SwitchTransformersEncoderModel,
				    SwitchTransformersForConditionalGeneration,
				    SwitchTransformersModel,
				    SwitchTransformersPreTrainedModel,
				    SwitchTransformersSparseMLP,
				    SwitchTransformersTopaRouter,
				)


else:
		import sys

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


