



"""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_(   lowercase_     :							int							)	->       str:
				return {key.lstrip('''-'''							): value for key, value in zip(unknown_args[::2]						,   unknown_args[1::2]							)}



def        lowerCAmelCase_(   )	->       Tuple:
				_lowerCamelCase        =				ArgumentParser(
				    '''HuggingFace Datasets CLI tool'''						,   usage='''datasets-cli <command> [<args>]'''						,   allow_abbrev=lowercase_							)
				_lowerCamelCase        =				parser.add_subparsers(help='''datasets-cli command helpers'''							)
				set_verbosity_info()

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

				# Parse args
				_lowerCamelCase  ,     _lowerCamelCase        =				parser.parse_known_args()
				if not hasattr(lowercase_						,   '''func'''							):
								parser.print_help()
								exit(1							)
				_lowerCamelCase        =				parse_unknown_args(lowercase_							)

				# Run
				_lowerCamelCase        =				args.func(lowercase_						,   **lowercase_							)
				service.run()


if __name__ == "__main__":
			main()





"""simple docstring"""
import warnings

from ..trainer import Trainer
from ..utils import logging


__SCREAMING_SNAKE_CASE  :						Dict    							=      logging.get_logger(__name__)


class 							lowerCamelCase_(   A__    ):





					'''simple docstring'''



					def __init__(    self				,       lowerCamelCase__=None				,       **lowerCamelCase__   ):
									warnings.warn(
									    '''`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` '''
									    '''instead.'''				,       lowerCamelCase__				,       )
									super().__init__(args=lowerCamelCase__				,       **lowerCamelCase__   )
