


import re
from pathlib import Path
from unittest import TestCase

import pytest






@pytest.mark.integration
class   _lowerCamelCase (					UpperCamelCase			):




       """simple docstring"""



       def        _snake_case       (      self				,       _SCREAMING_SNAKE_CASE		)->List[str]:




         '''simple docstring'''





         with open(_SCREAMING_SNAKE_CASE				,       encoding='''utf-8'''		) as input_file:
           A_      :				Union[str, Any]		     =					re.compile(R'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''		)
           A_      :				List[Any]		     =					input_file.read()
           A_      :				Optional[Any]		     =					regexp.search(_SCREAMING_SNAKE_CASE		)

         return match



       def        _snake_case       (      self				,       _SCREAMING_SNAKE_CASE		)->Union[str, Any]:




         '''simple docstring'''





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

         A_      :				Optional[int]		     =					[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        _snake_case       (      self		)->Optional[Any]:




         '''simple docstring'''





         A_      :				str		     =					Path('''./datasets'''		)
         A_      :				str		     =					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        _snake_case       (      self		)->Optional[Any]:




         '''simple docstring'''





         A_      :				Optional[int]		     =					Path('''./datasets'''		)
         A_      :				Optional[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.'''		)








def   _SCREAMING_SNAKE_CASE	( SCREAMING_SNAKE_CASE       ):
  if not nums:  # Makes sure that the list is not empty
    raise ValueError('''List is empty'''       )

  A_      :				Optional[int]		     =					sum(SCREAMING_SNAKE_CASE       ) / len(SCREAMING_SNAKE_CASE       )  # Calculate the average
  return sum(abs(x - average       ) for x in nums       ) / len(SCREAMING_SNAKE_CASE       )


if __name__ == "__main__":
     import doctest

     doctest.testmod()




