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


def     __lowerCAmelCase			(			)       ->  Union[str, Any]:
				__a										=    ArgumentParser(
				    '''HuggingFace Datasets CLI tool'''						,    usage='''datasets-cli <command> [<args>]'''						,    allow_abbrev=a__  )
				__a										=    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
				__a							,     __a										=    parser.parse_known_args()
				if not hasattr(a__						,    '''func'''  ):
								parser.print_help()
								exit(1  )
				__a										=    parse_unknown_args(a__  )

				# Run
				__a										=    args.func(a__						,    **a__  )
				service.run()


if __name__ == "__main__":
					main()

from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate







@dataclass(frozen=a			)
class 			__A( a			):
				snake_case_						   =    field(default='''language-modeling'''  ,   metadata={'''include_in_asdict_even_if_is_default''': True}			)

				snake_case_						   =    Features({'''text''': Value('''string'''			)}			)
				snake_case_						   =    Features({}			)
				snake_case_						   =    "text"




				@property
				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Dict[str, str]:


								'''simple docstring'''




								return {self.text_column: "text"}