






import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator

import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.filelock import logger as fl_logger
from datasets.utils.info_utils import VerificationMode
from datasets.utils.logging import ERROR, get_logger


lowerCamelCase_						     =  get_logger(__name__)
def      lowerCamelCase					(						a_	)	->			Union[str, Any]:
							return TestCommand(
							    args.dataset ,						args.name ,						args.cache_dir ,						args.data_dir ,						args.all_configs ,						args.save_info or args.save_infos ,						args.ignore_verifications ,						args.force_redownload ,						args.clear_cache ,						)




class 							a_ (						a_		):


							'''simple docstring'''






							__a:	Any     =    False  # to tell pytest it's not a test class

							@staticmethod
							def      _lowercase       (		lowercase_   )					->					Union[str, Any]:
														'''simple docstring'''

														lowerCAmelCase_										=     parser.add_parser('test'			,			help='Test dataset implementation.'   )
														test_parser.add_argument('--name'			,			type=lowercase_			,			default=lowercase_			,			help='Dataset processing name'   )
														test_parser.add_argument(
														    '--cache_dir'			,			type=lowercase_			,			default=lowercase_			,			help='Cache directory where the datasets are stored.'			,			)
														test_parser.add_argument(
														    '--data_dir'			,			type=lowercase_			,			default=lowercase_			,			help='Can be used to specify a manual directory to get the files from.'			,			)
														test_parser.add_argument('--all_configs'			,			action='store_true'			,			help='Test all dataset configurations'   )
														test_parser.add_argument(
														    '--save_info'			,			action='store_true'			,			help='Save the dataset infos in the dataset card (README.md)'   )
														test_parser.add_argument(
														    '--ignore_verifications'			,			action='store_true'			,			help='Run the test without checksums and splits checks.'			,			)
														test_parser.add_argument('--force_redownload'			,			action='store_true'			,			help='Force dataset redownload'   )
														test_parser.add_argument(
														    '--clear_cache'			,			action='store_true'			,			help='Remove downloaded files and cached datasets after each config test'			,			)
														# aliases
														test_parser.add_argument('--save_infos'			,			action='store_true'			,			help='alias to save_info'   )
														test_parser.add_argument('dataset'			,			type=lowercase_			,			help='Name of the dataset to download'   )
														test_parser.set_defaults(func=_test_command_factory   )

							def __init__(		self			,			lowercase_			,			lowercase_			,			lowercase_			,			lowercase_			,			lowercase_			,			lowercase_			,			lowercase_			,			lowercase_			,			lowercase_			,			)					->					str:
														'''simple docstring'''

														lowerCAmelCase_										=     dataset
														lowerCAmelCase_										=     name
														lowerCAmelCase_										=     cache_dir
														lowerCAmelCase_										=     data_dir
														lowerCAmelCase_										=     all_configs
														lowerCAmelCase_										=     save_infos
														lowerCAmelCase_										=     ignore_verifications
														lowerCAmelCase_										=     force_redownload
														lowerCAmelCase_										=     clear_cache
														if clear_cache and not cache_dir:
																					print(
																					    'When --clear_cache is used, specifying a cache directory is mandatory.\n'
																					    'The \'download\' folder of the cache directory and the dataset builder cache will be deleted after each configuration test.\n'
																					    'Please provide a --cache_dir that will be used to test the dataset script.'   )
																					exit(1   )
														if save_infos:
																					lowerCAmelCase_										=     True






							def      _lowercase       (		self   )					->					Optional[Any]:
														'''simple docstring'''

														fl_logger().setLevel(lowercase_   )
														if self._name is not None and self._all_configs:
																					print('Both parameters `config` and `all_configs` can\'t be used at once.'   )
																					exit(1   )
														lowerCAmelCase_						,   lowerCAmelCase_										=     self._dataset, self._name
														lowerCAmelCase_										=     dataset_module_factory(lowercase_   )
														lowerCAmelCase_										=     import_main_class(module.module_path   )
														lowerCAmelCase_										=     len(builder_cls.BUILDER_CONFIGS   ) if self._all_configs and builder_cls.BUILDER_CONFIGS else 1

														def get_builders() -> Generator[DatasetBuilder, None, None]:
																					if self._all_configs and builder_cls.BUILDER_CONFIGS:
																												for i, config in enumerate(builder_cls.BUILDER_CONFIGS   ):
																																			if "config_name" in module.builder_kwargs:
																																										yield builder_cls(
																																										    cache_dir=self._cache_dir			,			data_dir=self._data_dir			,			**module.builder_kwargs			,			)
																																			else:
																																										yield builder_cls(
																																										    config_name=config.name			,			cache_dir=self._cache_dir			,			data_dir=self._data_dir			,			**module.builder_kwargs			,			)
																					else:
																												if "config_name" in module.builder_kwargs:
																																			yield builder_cls(cache_dir=self._cache_dir			,			data_dir=self._data_dir			,			**module.builder_kwargs   )
																												else:
																																			yield builder_cls(
																																			    config_name=lowercase_			,			cache_dir=self._cache_dir			,			data_dir=self._data_dir			,			**module.builder_kwargs			,			)

														for j, builder in enumerate(get_builders()   ):
																					print(f'''Testing builder \'{builder.config.name}\' ({j + 1}/{n_builders})'''   )
																					lowerCAmelCase_										=     os.path.exists(
																					    os.path.join(builder.get_imported_module_dir()			,			datasets.config.DATASETDICT_INFOS_FILENAME   )   )  # record checksums only if we need to update a (deprecated) dataset_infos.json
																					builder.download_and_prepare(
																					    download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
																					    if not self._force_redownload
																					    else DownloadMode.FORCE_REDOWNLOAD			,			verification_mode=VerificationMode.NO_CHECKS
																					    if self._ignore_verifications
																					    else VerificationMode.ALL_CHECKS			,			try_from_hf_gcs=lowercase_			,			)
																					builder.as_dataset()
																					if self._save_infos:
																												builder._save_infos()

																					# If save_infos=True, the dataset card (README.md) is created next to the loaded module file.
																					# The dataset_infos are saved in the YAML part of the README.md

																					# 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:
																												lowerCAmelCase_										=     os.path.join(builder_cls.get_imported_module_dir()			,			'README.md'   )
																												lowerCAmelCase_										=     Path(lowercase_   ).name + '.py'
																												lowerCAmelCase_										=     os.path.join(lowercase_			,			lowercase_   )
																												if os.path.isfile(lowercase_   ):
																																			lowerCAmelCase_										=     os.path.dirname(lowercase_   )
																												elif os.path.isfile(lowercase_   ):
																																			lowerCAmelCase_										=     path
																												elif os.path.isdir(lowercase_   ):  # for local directories containing only data files
																																			lowerCAmelCase_										=     path
																												else:  # in case of a remote dataset
																																			lowerCAmelCase_										=     None
																																			print(f'''Dataset card saved at {dataset_readme_path}'''   )

																												# Move dataset_info back to the user
																												if dataset_dir is not None:
																																			lowerCAmelCase_										=     os.path.join(lowercase_			,			'README.md'   )
																																			copyfile(lowercase_			,			lowercase_   )
																																			print(f'''Dataset card saved at {user_dataset_readme_path}'''   )

            # If clear_cache=True, the download folder and the dataset builder cache directory are deleted
																					if self._clear_cache:
																												if os.path.isdir(builder._cache_dir   ):
																																			logger.warning(f'''Clearing cache at {builder._cache_dir}'''   )
																																			rmtree(builder._cache_dir   )
																												lowerCAmelCase_										=     os.path.join(self._cache_dir			,			datasets.config.DOWNLOADED_DATASETS_DIR   )
																												if os.path.isdir(lowercase_   ):
																																			logger.warning(f'''Clearing cache at {download_dir}'''   )
																																			rmtree(lowercase_   )

														print('Test successful.'   )











import math
def      lowerCamelCase					(						a_	)	->			Dict:
							lowerCAmelCase_										=     0
							if n % 2 == 0:
														count += 1
														while n % 2 == 0:
																					lowerCAmelCase_										=     int(n / 2	)
    # the n input value must be odd so that
    # we can skip one element (ie i += 2)

							lowerCAmelCase_										=     3

							while i <= int(math.sqrt(a_	)	):
														if n % i == 0:
																					count += 1
																					while n % i == 0:
																												lowerCAmelCase_										=     int(n / i	)
														lowerCAmelCase_										=     i + 2

							# this condition checks the prime
							# number n is greater than 2

							if n > 2:
														count += 1
							return count


if __name__ == "__main__":
		lowerCamelCase_						     =  5_1_2_4_2_1_8_3
		print(f'''The number of distinct prime factors is/are {exact_prime_factor_count(n)}''')
		print(f'''The value of log(log(n)) is {math.log(math.log(n)):.4f}''')



