


"""simple docstring"""





import os





def     lowercase__	(  )					->     Union[str, Any]:
  lowerCAmelCase__    :    Optional[int]								=					0
  lowerCAmelCase__    :    Any								=					0
  with open(os.path.dirname(lowerCamelCase				) + "/p022_names.txt"				) as file:
    lowerCAmelCase__    :    int								=					str(file.readlines()[0]				)
    lowerCAmelCase__    :    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
    lowerCAmelCase__    :    Optional[Any]								=					0
  return total_sum


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




"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase    				=      {"configuration_sew_d": ["SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWDConfig"]}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __UpperCAmelCase    				=      [
       "SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST",
       "SEWDForCTC",
       "SEWDForSequenceClassification",
       "SEWDModel",
       "SEWDPreTrainedModel",
   ]

if TYPE_CHECKING:
   from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_sew_d import (
          SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
          SEWDForCTC,
          SEWDForSequenceClassification,
          SEWDModel,
          SEWDPreTrainedModel,
      )


else:
   import sys

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