





"""simple docstring"""




import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile
from typing import List

from datasets import config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.info_utils import VerificationMode





def  a_       (							_lowercase ,		**_lowercase     ):
						return RunBeamCommand(
						    args.dataset ,		args.name ,		args.cache_dir ,		args.beam_pipeline_options ,		args.data_dir ,		args.all_configs ,		args.save_info or args.save_infos ,		args.ignore_verifications ,		args.force_redownload ,		**_SCREAMING_SNAKE_CASE ,		)






class 				_a		(   lowerCAmelCase_       ):






				@staticmethod
				def        snake_case			(				lowerCAmelCase__	:					Any							)			->   Any:




										'''simple docstring'''



										_UpperCamelCase    :      Any						     =					parser.add_parser('''run_beam''',				help='''Run a Beam dataset processing pipeline'''							)
										run_beam_parser.add_argument('''dataset''',				type=__a,				help='''Name of the dataset to download'''							)
										run_beam_parser.add_argument('''--name''',				type=__a,				default=__a,				help='''Dataset config name'''							)
										run_beam_parser.add_argument(
										    '''--cache_dir''',				type=__a,				default=__a,				help='''Cache directory where the datasets are stored''',				)
										run_beam_parser.add_argument(
										    '''--beam_pipeline_options''',				type=__a,				default='''''',				help='''Beam pipeline options, separated by commas. Example:: `--beam_pipeline_options=job_name=my-job,project=my-project`''',				)
										run_beam_parser.add_argument(
										    '''--data_dir''',				type=__a,				default=__a,				help='''Can be used to specify a manual directory to get the files from''',				)
										run_beam_parser.add_argument('''--all_configs''',				action='''store_true''',				help='''Test all dataset configurations'''							)
										run_beam_parser.add_argument('''--save_info''',				action='''store_true''',				help='''Save the dataset infos file'''							)
										run_beam_parser.add_argument(
										    '''--ignore_verifications''',				action='''store_true''',				help='''Run the test without checksums and splits checks'''							)
										run_beam_parser.add_argument('''--force_redownload''',				action='''store_true''',				help='''Force dataset redownload'''							)
										# aliases
										run_beam_parser.add_argument('''--save_infos''',				action='''store_true''',				help='''alias for save_info'''							)
										run_beam_parser.set_defaults(func=__a							)






				def __init__(				self	:					str,				lowerCAmelCase__	:					Any,				lowerCAmelCase__	:					Dict,				lowerCAmelCase__	:					Optional[Any],				lowerCAmelCase__	:					Union[str, Any],				lowerCAmelCase__	:					Tuple,				lowerCAmelCase__	:					Optional[Any],				lowerCAmelCase__	:					List[str],				lowerCAmelCase__	:					Tuple,				lowerCAmelCase__	:					Any,				**lowerCAmelCase__	:					Dict,				)			->   Union[str, Any]:




										'''simple docstring'''



										_UpperCamelCase    :      Optional[int]						     =					dataset
										_UpperCamelCase    :      str						     =					name
										_UpperCamelCase    :      Any						     =					cache_dir
										_UpperCamelCase    :      Tuple						     =					beam_pipeline_options
										_UpperCamelCase    :      str						     =					data_dir
										_UpperCamelCase    :      Optional[Any]						     =					all_configs
										_UpperCamelCase    :      List[Any]						     =					save_infos
										_UpperCamelCase    :      List[str]						     =					ignore_verifications
										_UpperCamelCase    :      Dict						     =					force_redownload
										_UpperCamelCase    :      List[Any]						     =					config_kwargs






				def        snake_case			(				self	:					Optional[Any]							)			->   Tuple:




										'''simple docstring'''



										import apache_beam as beam

										if self._name is not None and self._all_configs:
																print('''Both parameters `name` and `all_configs` can\'t be used at once.'''							)
																exit(1							)
										_UpperCamelCase    :      Any						     =					self._dataset, self._name
										_UpperCamelCase    :      Union[str, Any]						     =					dataset_module_factory(__a							)
										_UpperCamelCase    :      str						     =					import_main_class(dataset_module.module_path							)
										_UpperCamelCase    :      List[DatasetBuilder]						     =					[]
										if self._beam_pipeline_options:
																_UpperCamelCase    :      Any						     =					beam.options.pipeline_options.PipelineOptions(
																    flags=[f"""--{opt.strip()}""" for opt in self._beam_pipeline_options.split(''','''							) if opt]							)
										else:
																_UpperCamelCase    :      Dict						     =					None
										if self._all_configs and len(builder_cls.BUILDER_CONFIGS							) > 0:
																for builder_config in builder_cls.BUILDER_CONFIGS:
																						builders.append(
																						    builder_cls(
																						        config_name=builder_config.name,				data_dir=self._data_dir,				hash=dataset_module.hash,				beam_options=__a,				cache_dir=self._cache_dir,				base_path=dataset_module.builder_kwargs.get('''base_path'''							),				)							)
										else:
																builders.append(
																    builder_cls(
																        config_name=__a,				data_dir=self._data_dir,				beam_options=__a,				cache_dir=self._cache_dir,				base_path=dataset_module.builder_kwargs.get('''base_path'''							),				**self._config_kwargs,				)							)

										for builder in builders:
																builder.download_and_prepare(
																    download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
																    if not self._force_redownload
																    else DownloadMode.FORCE_REDOWNLOAD,				download_config=DownloadConfig(cache_dir=config.DOWNLOADED_DATASETS_PATH							),				verification_mode=VerificationMode.NO_CHECKS
																    if self._ignore_verifications
																    else VerificationMode.ALL_CHECKS,				try_from_hf_gcs=__a,				)
																if self._save_infos:
																						builder._save_infos()

										print('''Apache beam run successful.'''							)

										# If save_infos=True, the dataset infos file is created next to the loaded module file.
										# Let's move it to the original directory of the dataset script, to allow the user to
										# upload them on S3 at the same time afterwards.
										if self._save_infos:
																_UpperCamelCase    :      Tuple						     =					os.path.join(builder_cls.get_imported_module_dir(),				config.DATASETDICT_INFOS_FILENAME							)

																_UpperCamelCase    :      Optional[int]						     =					Path(__a							).name + '.py'

																_UpperCamelCase    :      Dict						     =					os.path.join(__a,				__a							)
																if os.path.isfile(__a							):
																						_UpperCamelCase    :      int						     =					os.path.dirname(__a							)
																elif os.path.isfile(__a							):
																						_UpperCamelCase    :      List[Any]						     =					path
																else:  # in case of a remote dataset
																						print(f"""Dataset Infos file saved at {dataset_infos_path}"""							)
																						exit(1							)

																# Move datasetinfo back to the user
																_UpperCamelCase    :      str						     =					os.path.join(__a,				config.DATASETDICT_INFOS_FILENAME							)
																copyfile(__a,				__a							)
																print(f"""Dataset Infos file saved at {user_dataset_infos_path}"""							)










"""simple docstring"""




def  a_       (							_lowercase     ):
						return 1 if input_a == 0 else 0





def  a_       (							):
						assert not_gate(0     ) == 1
						assert not_gate(1     ) == 0


if __name__ == "__main__":
						print(not_gate(0))
						print(not_gate(1))



