import re
from pathlib import Path
from unittest import TestCase

import pytest







@pytest.mark.integration
class __snake_case       (		lowerCamelCase_	):




   def 			__a		(					self    :       Optional[Any] ,			_lowercase    :       str   ):



     """simple docstring"""






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

     return match




   def 			__a		(					self    :       Any ,			_lowercase    :       str   ):



     """simple docstring"""






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

     SCREAMING_SNAKE_CASE__    							=   [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 			__a		(					self    :       int   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   Path("""./datasets"""   )
     SCREAMING_SNAKE_CASE__    							=   list(dataset_paths.absolute().glob("""**/*.py"""   )   )

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




   def 			__a		(					self    :       Any   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   Path("""./datasets"""   )
     SCREAMING_SNAKE_CASE__    							=   list(dataset_paths.absolute().glob("""**/*.py"""   )   )

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

from __future__ import annotations



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: list			)							->      float:







  """simple docstring"""





  if not nums:
    raise ValueError("""List is empty"""			)
  return sum(__UpperCamelCase			) / len(__UpperCamelCase			)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
