



'''simple docstring'''
import os






def A__       (	):
						with open(os.path.dirname(UpperCAmelCase_				) + '/p022_names.txt'				) as file:
												_UpperCamelCase   :						Optional[int]												=  str(file.readlines()[0]				)
												_UpperCamelCase   :						str												=  names.replace('"'    ,    ''				).split(','				)

						names.sort()

						_UpperCamelCase   :						Dict												=  0
						_UpperCamelCase   :						Any												=  0

						for i, name in enumerate(UpperCAmelCase_				):
												for letter in name:
																		name_score += ord(UpperCAmelCase_				) - 6_4

												total_score += (i + 1) * name_score
												_UpperCamelCase   :						Union[str, Any]												=  0
						return total_score


if __name__ == "__main__":
					print(solution())







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

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


snake_case_					:      List[Any]    			=    {'configuration_van': ['VAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VanConfig']}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_					:      str    			=    [
					    'VAN_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'VanForImageClassification',
					    'VanModel',
					    'VanPreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_van import (
										    VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    VanForImageClassification,
										    VanModel,
										    VanPreTrainedModel,
										)

else:
					import sys

					snake_case_					:      List[Any]    			=    _LazyModule(__name__, globals()['__file__'], _import_structure)


