import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand


def SCREAMING_SNAKE_CASE			(       lowercase_:		List[Any]			):
       return EnvironmentCommand()





class 				__lowerCAmelCase					(      a_  ):



 '''simple docstring'''

 @staticmethod
 def    __snake_case   (     lowerCamelCase    :						ArgumentParser					)	->							int:
        _UpperCamelCase       :    str					  =					parser.add_parser('env'    ,     help='Print relevant system environment info.'					)
        download_parser.set_defaults(func=lowerCamelCase					)

 def    __snake_case   (     self    :						Optional[Any]					)	->							Dict:
        _UpperCamelCase       :    Optional[Any]					  =					{
            '`datasets` version': version,
            'Platform': platform.platform(),
            'Python version': platform.python_version(),
            'Huggingface_hub version': huggingface_hub.__version__,
            'PyArrow version': pyarrow.__version__,
            'Pandas version': pandas.__version__,
        }

        print('\nCopy-and-paste the text below in your GitHub issue.\n'					)
        print(self.format_dict(lowerCamelCase					)					)

        return info

 @staticmethod
 def    __snake_case   (     lowerCamelCase    :						List[str]					)	->							Tuple:
        return "\n".join([f"- {prop}: {val}" for prop, val in d.items()]					) + "\n"




def SCREAMING_SNAKE_CASE			(       lowercase_:		int = 4000000			):
       _UpperCamelCase       :    str					  =					1
       _UpperCamelCase       :    str					  =					2
       _UpperCamelCase       :    Tuple					  =					0
       while j <= n:
              if j % 2 == 0:
                     total += j
              _UpperCamelCase  , _UpperCamelCase       :    int					  =					j, i + j

       return total


if __name__ == "__main__":
 print(f'''{solution() = }''')



