

'''simple docstring'''





from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_torch_available, is_torch_tpu_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_torch_available():
							import torch

if is_torch_tpu_available(check_device=False):
							import torch_xla.core.xla_model as xm


__snake_case	: Optional[int]       				=							logging.get_logger(__name__)
@dataclass
class        A  (	a ):
						__UpperCAmelCase				:	Optional[Any]   =   [
						    """no_inference""",
						    """no_cuda""",
						    """no_tpu""",
						    """no_speed""",
						    """no_memory""",
						    """no_env_print""",
						    """no_multi_process""",
						]





						def __init__(	self	,    **snake_case_			)			->							Optional[Any]:
										for deprecated_arg in self.deprecated_args:
														if deprecated_arg in kwargs:
																		_a        =   deprecated_arg[3:]
																		setattr(self	,    snake_case__	,    not kwargs.pop(snake_case__			)			)
																		logger.warning(
																		    F'''{deprecated_arg} is depreciated. Please use --no_{positive_arg} or'''
																		    F''' {positive_arg}={kwargs[positive_arg]}'''			)

										_a        =   kwargs.pop("torchscript"	,    self.torchscript			)
										_a        =   kwargs.pop("torch_xla_tpu_print_metrics"	,    self.torch_xla_tpu_print_metrics			)
										_a        =   kwargs.pop("fp16_opt_level"	,    self.fpaa_opt_level			)
										super().__init__(**snake_case__			)

						__UpperCAmelCase				:	Tuple   =   field(default=a  ,    metadata={"""help""": """Trace the models using torchscript"""} )
						__UpperCAmelCase				:	Tuple   =   field(default=a  ,    metadata={"""help""": """Print Xla/PyTorch tpu metrics"""} )
						__UpperCAmelCase				:	List[Any]   =   field(
						    default="""O1"""  ,    metadata={
						        """help""": (
						            """For fp16: Apex AMP optimization level selected in [\'O0\', \'O1\', \'O2\', and \'O3\']. """
						            """See details at https://nvidia.github.io/apex/amp.html"""
						        )
						    }  ,    )





						@cached_property
						def __lowerCAmelCase   (	self			)			->							Optional[Any]:
										requires_backends(self	,    ["torch"]			)
										logger.info("PyTorch: setting up devices"			)
										if not self.cuda:
														_a        =   torch.device("cpu"			)
														_a        =   0
										elif is_torch_tpu_available():
														_a        =   xm.xla_device()
														_a        =   0
										else:
														_a        =   torch.device("cuda" if torch.cuda.is_available() else "cpu"			)
														_a        =   torch.cuda.device_count()
										return device, n_gpu





						@property
						def __lowerCAmelCase   (	self			)			->							Union[str, Any]:
										return is_torch_tpu_available() and self.tpu





						@property
						def __lowerCAmelCase   (	self			)			->							List[Any]:
										requires_backends(self	,    ["torch"]			)
										# TODO(PVP): currently only single GPU is supported
										return torch.cuda.current_device()





						@property
						def __lowerCAmelCase   (	self			)			->							Dict:
										requires_backends(self	,    ["torch"]			)
										return self._setup_devices[0]





						@property
						def __lowerCAmelCase   (	self			)			->							Optional[int]:
										requires_backends(self	,    ["torch"]			)
										return self._setup_devices[1]





						@property
						def __lowerCAmelCase   (	self			)			->							Union[str, Any]:
										return self.n_gpu > 0













"""simple docstring"""



import os


def 	SCREAMING_SNAKE_CASE__       (  )->		Optional[Any]:






     '''simple docstring'''



     with open(os.path.dirname(snake_case				) + "/p022_names.txt"				) as file:
          UpperCAmelCase__						:    Tuple							=							str(file.readlines()[0]				)
          UpperCAmelCase__						:    str							=							names.replace("\""			,					""				).split(","				)

     names.sort()

     UpperCAmelCase__						:    Optional[int]							=							0
     UpperCAmelCase__						:    List[str]							=							0

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

          total_score += (i + 1) * name_score
          UpperCAmelCase__						:    Optional[int]							=							0
     return total_score


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


