

"""simple docstring"""


import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
			from transformers import AutoModelForSeqaSeqLM, AutoTokenizer





@require_torch
@require_sentencepiece
@require_tokenizers
class     snake_case	(				unittest.TestCase  ):

				@slow
				def 							lowercase_     (	self							:				int)->   Any:



						'''simple docstring'''


						__lowerCAmelCase:       Tuple          =			AutoModelForSeqaSeqLM.from_pretrained("google/mt5-small"     ,  return_dict=_snake_case).to(_snake_case)
						__lowerCAmelCase:       int          =			AutoTokenizer.from_pretrained("google/mt5-small")

						__lowerCAmelCase:       Optional[Any]          =			tokenizer("Hello there"     ,  return_tensors="pt").input_ids
						__lowerCAmelCase:       List[Any]          =			tokenizer("Hi I am"     ,  return_tensors="pt").input_ids

						__lowerCAmelCase:       Optional[Any]          =			model(input_ids.to(_snake_case)     ,  labels=labels.to(_snake_case)).loss
						__lowerCAmelCase:       Tuple          =			-(labels.shape[-1] * loss.item())

						__lowerCAmelCase:       List[str]          =			-84.9127
						self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 1e-4)







"""simple docstring"""







import os



def      __UpperCAmelCase      (    )							->      int:
		with open(os.path.dirname(__lowerCamelCase	) + '''/p022_names.txt'''	) as file:
				lowercase__   :    List[Any]				=			str(file.readlines()[0]	)
				lowercase__   :    Dict				=			names.replace('''"'''						,     ''''''	).split(''','''	)

		names.sort()

		lowercase__   :    int				=			0
		lowercase__   :    Optional[Any]				=			0

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

				total_score += (i + 1) * name_score
				lowercase__   :    List[str]				=			0
		return total_score


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