



'''simple docstring'''






from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info


def  snake_case_     (					_lowerCAmelCase  :						List[str]  )      ->   Dict:
							return {key.lstrip('''-'''  ): value for key, value in zip(unknown_args[::2]   ,      unknown_args[1::2]  )}


def  snake_case_     (					)      ->   Union[str, Any]:
							UpperCAmelCase :       Dict 							=		ArgumentParser(
							    '''HuggingFace Datasets CLI tool'''   ,      usage='''datasets-cli <command> [<args>]'''   ,      allow_abbrev=a_  )
							UpperCAmelCase :       Dict 							=		parser.add_subparsers(help='''datasets-cli command helpers'''  )
							set_verbosity_info()

							# Register commands
							ConvertCommand.register_subcommand(a_  )
							EnvironmentCommand.register_subcommand(a_  )
							TestCommand.register_subcommand(a_  )
							RunBeamCommand.register_subcommand(a_  )
							DummyDataCommand.register_subcommand(a_  )

							# Parse args
							UpperCAmelCase							,		UpperCAmelCase :       List[str] 							=		parser.parse_known_args()
							if not hasattr(a_   ,      '''func'''  ):
														parser.print_help()
														exit(1  )
							UpperCAmelCase :       List[str] 							=		parse_unknown_args(a_  )

							# Run
							UpperCAmelCase :       int 							=		args.func(a_   ,      **a_  )
							service.run()


if __name__ == "__main__":
						main()













import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowercase  							=					logging.get_logger(__name__)




class  UpperCamelCase_      (			snake_case_				):



	'''simple docstring'''




	def __init__(       self       ,			*a       ,			**a					)       ->    None:
								warnings.warn(
								    'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
								    ' Please use PerceiverImageProcessor instead.'       ,			a       ,			)
								super().__init__(*a       ,			**a					)





