



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       UpperCAmelCase__	(							__snake_case							)				->	Dict:
  return EnvironmentCommand()



class 						_snake_case (     SCREAMING_SNAKE_CASE_			):





 """simple docstring"""



 @staticmethod
 def lowercase_						(  a   )		->							str:




   """simple docstring"""







   _A          =      parser.add_parser('''env'''		,      help='''Print relevant system environment info.'''   )
   download_parser.set_defaults(func=SCREAMING_SNAKE_CASE_   )
 def lowercase_						(  self   )		->							Any:




   """simple docstring"""







   _A          =      {
       '''`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(SCREAMING_SNAKE_CASE_   )   )

   return info



 @staticmethod
 def lowercase_						(  a   )		->							Tuple:




   """simple docstring"""







   return "\n".join([f'''- {prop}: {val}''' for prop, val in d.items()]   ) + "\n"




from __future__ import annotations




def       UpperCAmelCase__	(							__snake_case  ,			__snake_case  ,			__snake_case  ,			__snake_case							)				->	int:

  # Base Case
  if counter == 0 or capacity == 0:
    return 0

  # If weight of the nth item is more than Knapsack of capacity,
  #   then this item cannot be included in the optimal solution,
  # else return the maximum of two cases:
  #   (1) nth item included
  #   (2) not included
  if weights[counter - 1] > capacity:
    return knapsack(__snake_case  ,			__snake_case  ,			__snake_case  ,			counter - 1							)
  else:
    _A          =      capacity - weights[counter - 1]
    _A          =      values[counter - 1] + knapsack(
        __snake_case  ,			__snake_case  ,			__snake_case  ,			counter - 1							)
    _A          =      knapsack(__snake_case  ,			__snake_case  ,			__snake_case  ,			counter - 1							)
    return max(__snake_case  ,			__snake_case							)


if __name__ == "__main__":
    import doctest

    doctest.testmod()