




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




def  SCREAMING_SNAKE_CASE     (	)  ->							Dict:
    UpperCAmelCase_										=					ArgumentParser(
        '''HuggingFace Datasets CLI tool'''	,					usage='''datasets-cli <command> [<args>]'''	,					allow_abbrev=__UpperCamelCase				)
    UpperCAmelCase_										=					parser.add_subparsers(help='''datasets-cli command helpers'''				)
    set_verbosity_info()

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

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

    # Run
    UpperCAmelCase_										=					args.func(__UpperCamelCase	,					**__UpperCamelCase				)
    service.run()


if __name__ == "__main__":
 main()











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

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate



@dataclass(frozen=_A      )
class       a					(       _A      ):

     '''simple docstring'''





     lowerCAmelCase    :	str       		=  field(default='audio-classification'     ,       metadata={'include_in_asdict_even_if_is_default': True}      )
     lowerCAmelCase    :	ClassVar[Features]       		=  Features({'audio': Audio()}      )
     lowerCAmelCase    :	ClassVar[Features]       		=  Features({'labels': ClassLabel}      )
     lowerCAmelCase    :	str       		=  "audio"
     lowerCAmelCase    :	str       		=  "labels"
     def   lowerCamelCase_       (     self       :      Optional[Any] ,   __snake_case       :      List[Any]    ):
         if self.label_column not in features:
             raise ValueError(F'Column {self.label_column} is not present in features.'    )
         if not isinstance(features[self.label_column] ,   __snake_case    ):
             raise ValueError(F'Column {self.label_column} is not a ClassLabel.'    )
         UpperCAmelCase_										=					copy.deepcopy(self    )
         UpperCAmelCase_										=					self.label_schema.copy()
         UpperCAmelCase_										=					features[self.label_column]
         UpperCAmelCase_										=					label_schema
         return task_template




     @property
     def   lowerCamelCase_       (     self       :      Tuple    ):
         return {
             self.audio_column: "audio",
             self.label_column: "labels",
         }





