


'''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   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   Optional[Any]   ):
					return {key.lstrip('-'   ): value for key, value in zip(unknown_args[::2]						,      unknown_args[1::2]   )}






def   lowerCamelCase							():
					__a			:       Optional[int]					    =  ArgumentParser(
					    'HuggingFace Datasets CLI tool'						,      usage='datasets-cli <command> [<args>]'						,      allow_abbrev=_SCREAMING_SNAKE_CASE   )
					__a			:       Any					    =  parser.add_subparsers(help='datasets-cli command helpers'   )
					set_verbosity_info()

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

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

					# Run
					__a			:       Optional[Any]					    =  args.func(_SCREAMING_SNAKE_CASE						,      **_SCREAMING_SNAKE_CASE   )
					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					)





