




'''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    snake_case__     (  a       ,      **a	)			->       Optional[int]:





			'''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       ,      **__lowercase       ,      )





class __magic_name__(						_UpperCamelCase      ):






						@staticmethod
						def       __lowerCAmelCase(   __UpperCamelCase						:						ArgumentParser       ):



									'''simple docstring'''






									snake_case__          =						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						:						Dict					,   __UpperCamelCase						:						str					,   __UpperCamelCase						:						str					,   __UpperCamelCase						:						str					,   __UpperCamelCase						:						str					,   __UpperCamelCase						:						str					,   __UpperCamelCase						:						bool					,   __UpperCamelCase						:						bool					,   __UpperCamelCase						:						bool					,   __UpperCamelCase						:						bool					,   **__UpperCamelCase						:						int					,   ):



									'''simple docstring'''






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







						def       __lowerCAmelCase(   self						:						List[str]       ):



									'''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       )
									snake_case__    ,			snake_case__          =						self._dataset, self._name
									snake_case__          =						dataset_module_factory(a__       )
									snake_case__          =						import_main_class(dataset_module.module_path       )
									snake_case__          =						[]
									if self._beam_pipeline_options:
												snake_case__          =						beam.options.pipeline_options.PipelineOptions(
												    flags=[f"""--{opt.strip()}""" for opt in self._beam_pipeline_options.split(""","""       ) if opt]       )
									else:
												snake_case__          =						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:
												snake_case__          =						os.path.join(builder_cls.get_imported_module_dir()					,   config.DATASETDICT_INFOS_FILENAME       )

												snake_case__          =						Path(a__       ).name + """.py"""

												snake_case__          =						os.path.join(a__					,   a__       )
												if os.path.isfile(a__       ):
															snake_case__          =						os.path.dirname(a__       )
												elif os.path.isfile(a__       ):
															snake_case__          =						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
												snake_case__          =						os.path.join(a__					,   config.DATASETDICT_INFOS_FILENAME       )
												copyfile(a__					,   a__       )
												print(f"""Dataset Infos file saved at {user_dataset_infos_path}"""       )



"""simple docstring"""


from math import factorial






def   a__			(					__lowercase  ,      __lowercase )						->						List[Any]:
				return factorial(__lowercase ) / (factorial(__lowercase ) * factorial(n - r ))






def   a__			(					)						->						List[str]:
				_A       	=      0

				for i in range(1  ,      101 ):
								for j in range(1  ,      i + 1 ):
												if combinations(__lowercase  ,      __lowercase ) > 1E6:
																total += 1
				return total


if __name__ == "__main__":
		print(solution())