

def        __lowercase   (  _A    ,     _A      )  ->    Optional[int]:
      SCREAMING_SNAKE_CASE			:   Optional[int]	  = sorted(_A    ,     key=lambda _A      : value[2]    ,     reverse=_A      )

      # Create a list of size equal to the maximum deadline
      # and initialize it with -1
      SCREAMING_SNAKE_CASE			:   Any	  = max(_A    ,     key=lambda _A      : value[1]      )[1]
      SCREAMING_SNAKE_CASE			:   Union[str, Any]	  = [-1] * max_deadline

      # Finding the maximum profit and the count of jobs
      SCREAMING_SNAKE_CASE			:   List[Any]	  = 0
      SCREAMING_SNAKE_CASE			:   int	  = 0
      for job in jobs:
            # Find a free time slot for this job
            # (Note that we start from the last possible slot)
            for i in range(job[1] - 1    ,     -1    ,     -1      ):
                  if time_slots[i] == -1:
                        SCREAMING_SNAKE_CASE			:   Optional[int]	  = job[0]
                        count += 1
                        max_profit += job[2]
                        break
      return [count, max_profit]


if __name__ == "__main__":
  import doctest

  doctest.testmod()





"""simple docstring"""


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        __a (		A   ):






     '''simple docstring'''



     return EnvironmentCommand()






class  a__     ( _a						):


   @staticmethod
   def 						snake_case__						(  _UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				parser.add_parser("env",					help="Print relevant system environment info."	)
        download_parser.set_defaults(func=_UpperCAmelCase	)


   def 						snake_case__						(  self	):
        '''simple docstring'''



        lowercase__								=				{
            "`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(_UpperCAmelCase	)	)

        return info


   @staticmethod
   def 						snake_case__						(  _UpperCAmelCase	):
        '''simple docstring'''



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




