

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 					__lowerCAmelCase			(  _A ,**_A					):



							"""simple docstring"""


							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 ,**_A ,)







class _lowercase					(       _UpperCAmelCase						):





							"""simple docstring"""




							@staticmethod
							def     _UpperCAmelCase       (    UpperCAmelCase  ):







														'''simple docstring'''






														_lowercase				=	parser.add_parser("""run_beam"""     ,   help="""Run a Beam dataset processing pipeline"""  )
														run_beam_parser.add_argument("""dataset"""     ,   type=UpperCAmelCase     ,   help="""Name of the dataset to download"""  )
														run_beam_parser.add_argument("""--name"""     ,   type=UpperCAmelCase     ,   default=UpperCAmelCase     ,   help="""Dataset config name"""  )
														run_beam_parser.add_argument(
														    """--cache_dir"""     ,   type=UpperCAmelCase     ,   default=UpperCAmelCase     ,   help="""Cache directory where the datasets are stored"""     ,   )
														run_beam_parser.add_argument(
														    """--beam_pipeline_options"""     ,   type=UpperCAmelCase     ,   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=UpperCAmelCase     ,   default=UpperCAmelCase     ,   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=UpperCAmelCase  )



							def __init__(    self     ,   UpperCAmelCase     ,   UpperCAmelCase     ,   UpperCAmelCase     ,   UpperCAmelCase     ,   UpperCAmelCase     ,   UpperCAmelCase     ,   UpperCAmelCase     ,   UpperCAmelCase     ,   UpperCAmelCase     ,   **UpperCAmelCase     ,   ):







														'''simple docstring'''






														_lowercase				=	dataset
														_lowercase				=	name
														_lowercase				=	cache_dir
														_lowercase				=	beam_pipeline_options
														_lowercase				=	data_dir
														_lowercase				=	all_configs
														_lowercase				=	save_infos
														_lowercase				=	ignore_verifications
														_lowercase				=	force_redownload
														_lowercase				=	config_kwargs



							def     _UpperCAmelCase       (    self  ):







														'''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  )
														_lowercase				,       _lowercase				=	self._dataset, self._name
														_lowercase				=	dataset_module_factory(UpperCAmelCase  )
														_lowercase				=	import_main_class(dataset_module.module_path  )
														_lowercase				=	[]
														if self._beam_pipeline_options:
																					_lowercase				=	beam.options.pipeline_options.PipelineOptions(
																					    flags=[F'''--{opt.strip()}''' for opt in self._beam_pipeline_options.split(""","""  ) if opt]  )
														else:
																					_lowercase				=	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=UpperCAmelCase     ,   cache_dir=self._cache_dir     ,   base_path=dataset_module.builder_kwargs.get("""base_path"""  )     ,   )  )
														else:
																					builders.append(
																					    builder_cls(
																					        config_name=UpperCAmelCase     ,   data_dir=self._data_dir     ,   beam_options=UpperCAmelCase     ,   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=UpperCAmelCase     ,   )
																					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:
																					_lowercase				=	os.path.join(builder_cls.get_imported_module_dir()     ,   config.DATASETDICT_INFOS_FILENAME  )

																					_lowercase				=	Path(UpperCAmelCase  ).name + """.py"""

																					_lowercase				=	os.path.join(UpperCAmelCase     ,   UpperCAmelCase  )
																					if os.path.isfile(UpperCAmelCase  ):
																												_lowercase				=	os.path.dirname(UpperCAmelCase  )
																					elif os.path.isfile(UpperCAmelCase  ):
																												_lowercase				=	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
																					_lowercase				=	os.path.join(UpperCAmelCase     ,   config.DATASETDICT_INFOS_FILENAME  )
																					copyfile(UpperCAmelCase     ,   UpperCAmelCase  )
																					print(F'''Dataset Infos file saved at {user_dataset_infos_path}'''  )



def 					__lowerCAmelCase			(  _A = 998_001					):



							"""simple docstring"""


							_lowercase				=	0
							for i in range(999 ,99 ,-1					):  # 3 digit numbers range from 999 down to 100
														for j in range(999 ,99 ,-1					):
																					_lowercase				=	str(i * j					)
																					if product_string == product_string[::-1] and i * j < n:
																												_lowercase				=	max(_A ,i * j					)
							return answer


if __name__ == "__main__":
				print(F'''{solution() = }''')


