





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



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

       # Run
       a__						:	Union[str, Any] =				args.func(A__		,      **A__				)
       service.run()


if __name__ == "__main__":
    main()









"""simple docstring"""
import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict



@pytest.mark.parametrize(
    '''split_dict''' ,   [
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train''' ,   num_bytes=13_37 ,   num_examples=42 ,   dataset_name='''my_dataset'''							)}							),
        SplitDict({'''train''': SplitInfo(name='''train''' ,   num_bytes=13_37 ,   num_examples=42							)}							),
        SplitDict({'''train''': SplitInfo()}							),
    ] ,   )
def      __lowerCamelCase   (							a_     :		SplitDict							)			->      Optional[int]:
      __SCREAMING_SNAKE_CASE   :Tuple						=  split_dict._to_yaml_list()
      assert len(a_							) == len(a_							)
      __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  SplitDict._from_yaml_list(a_							)
      for split_name, split_info in split_dict.items():
            # dataset_name field is deprecated, and is therefore not part of the YAML dump
            __SCREAMING_SNAKE_CASE   :int						=  None
            # the split name of split_dict takes over the name of the split info object
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  split_name
      assert split_dict == reloaded







@pytest.mark.parametrize(
    '''split_info''' ,   [SplitInfo(), SplitInfo(dataset_name=a_							), SplitInfo(dataset_name='''my_dataset'''							)]							)
def      __lowerCamelCase   (							a_     :		Dict							)			->      Any:
      # For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
      # field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
      __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  asdict(SplitDict({'''train''': split_info}							)							)
      assert "dataset_name" in split_dict_asdict["train"]
      assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name