






'''simple docstring'''







import os





def 				SCREAMING_SNAKE_CASE_ ()   -> Tuple:
							with open(os.path.dirname(UpperCamelCase   ) + """/p022_names.txt"""   ) as file:
														lowerCamelCase__      :			Optional[Any] 						= str(file.readlines()[0]   )
														lowerCamelCase__      :			Dict 						= names.replace("""\""""       ,    """"""   ).split(""","""   )

							names.sort()

							lowerCamelCase__      :			Any 						= 0
							lowerCamelCase__      :			Optional[Any] 						= 0

							for i, name in enumerate(UpperCamelCase   ):
														for letter in name:
																					name_score += ord(UpperCamelCase   ) - 64

														total_score += (i + 1) * name_score
														lowerCamelCase__      :			Dict 						= 0
							return total_score


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









'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


_A			:    Any					  ={
    '''configuration_trocr''': ['''TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TrOCRConfig'''],
    '''processing_trocr''': ['''TrOCRProcessor'''],
}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A			:    str					  =[
			    '''TROCR_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''TrOCRForCausalLM''',
			    '''TrOCRPreTrainedModel''',
			]


if TYPE_CHECKING:
			from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
			from .processing_trocr import TrOCRProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
			import sys

			_A			:    Dict					  =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

