
import re
from pathlib import Path
from unittest import TestCase

import pytest



@pytest.mark.integration
class    _snake_case (						UpperCAmelCase_				):


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   with open(SCREAMING_SNAKE_CASE_       ,	encoding="""utf-8""") as input_file:
     lowercase__	: Any     		=   re.compile(R"""(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)""")
     lowercase__	: Any     		=   input_file.read()
     lowercase__	: Any     		=   regexp.search(SCREAMING_SNAKE_CASE_)

   return match


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   with open(SCREAMING_SNAKE_CASE_       ,	encoding="""utf-8""") as input_file:
     lowercase__	: Any     		=   re.compile(R"""#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"""       ,	re.DOTALL)
     lowercase__	: Union[str, Any]     		=   input_file.read()
     # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
     lowercase__	: List[Any]     		=   regexp.finditer(SCREAMING_SNAKE_CASE_)

   lowercase__	: List[Any]     		=   [match for match in matches if match is not None and match.group(1) is not None]
   return matches[0] if matches else None


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Any     		=   Path("""./datasets""")
   lowercase__	: List[Any]     		=   list(dataset_paths.absolute().glob("""**/*.py"""))

   for dataset in dataset_files:
     if self._no_encoding_on_file_open(str(SCREAMING_SNAKE_CASE_)):
       raise AssertionError(f'open(...) must use utf-8 encoding in {dataset}')



 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Any     		=   Path("""./datasets""")
   lowercase__	: int     		=   list(dataset_paths.absolute().glob("""**/*.py"""))

   for dataset in dataset_files:
     if self._no_print_statements(str(SCREAMING_SNAKE_CASE_)):
       raise AssertionError(f'print statement found in {dataset}. Use datasets.logger/logging instead.')












import os





def 						__A						(      ) ->			Dict:
	with open(os.path.dirname(__lowerCamelCase       ) + """/p022_names.txt"""       ) as file:
		a									=				str(file.readlines()[0]       )
		a									=				names.replace("""\""""				,     """"""       ).split(""","""       )

	names.sort()

	a									=				0
	a									=				0

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

		total_score += (i + 1) * name_score
		a									=				0
	return total_score


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

