


"""simple docstring"""
from typing import TYPE_CHECKING

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


__SCREAMING_SNAKE_CASE				:     str		=     {
    'configuration_realm': ['REALM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RealmConfig'],
    'tokenization_realm': ['RealmTokenizer'],
}

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__SCREAMING_SNAKE_CASE				:     Optional[Any]		=     ['RealmTokenizerFast']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__SCREAMING_SNAKE_CASE				:     Any		=     [
				    'REALM_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'RealmEmbedder',
				    'RealmForOpenQA',
				    'RealmKnowledgeAugEncoder',
				    'RealmPreTrainedModel',
				    'RealmReader',
				    'RealmScorer',
				    'load_tf_weights_in_realm',
				]
				__SCREAMING_SNAKE_CASE				:     int		=     ['RealmRetriever']


if TYPE_CHECKING:
				from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
				from .tokenization_realm import RealmTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_realm import RealmTokenizerFast

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_realm import (
								    REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
								    RealmEmbedder,
								    RealmForOpenQA,
								    RealmKnowledgeAugEncoder,
								    RealmPreTrainedModel,
								    RealmReader,
								    RealmScorer,
								    load_tf_weights_in_realm,
								)
								from .retrieval_realm import RealmRetriever


else:
				import sys

				__SCREAMING_SNAKE_CASE				:     str		=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)







import os






def  _UpperCAmelCase						( )		->Tuple:


 '''simple docstring'''
 snake_case :			Dict							=   0
 snake_case :			int							=   0
 with open(os.path.dirname(__lowerCamelCase							) + '''/p022_names.txt'''							) as file:
  snake_case :			int							=   str(file.readlines()[0]							)
  snake_case :			Any							=   name.replace('''"'''			,  ''''''							).split(''','''							)

 name.sort()
 for i in range(len(__lowerCamelCase							)							):
  for j in name[i]:
   temp_sum += ord(__lowerCamelCase							) - ord('''A'''							) + 1
  total_sum += (i + 1) * temp_sum
  snake_case :			List[Any]							=   0
 return total_sum


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






