code: 
  
  
  
  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
  
  
  __A       					=		get_logger(__name__)
  
  
  
  def  __a  (					lowerCAmelCase_     :      str       )   ->				str:
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						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 	lowercase		(				snake_case__):
  
  
  
  
  
  
  	"""simple docstring"""
  
  
  	a__   :      List[str]	     =							False  # to tell pytest it's not a test class
  
  
  
  
  	@staticmethod
  	def 						_SCREAMING_SNAKE_CASE	(			__UpperCAmelCase			:		ArgumentParser  )    ->				Optional[Any]:
  							UpperCAmelCase_=     parser.add_parser("""test"""		,						help="""Test dataset implementation."""  )
  							test_parser.add_argument("""--name"""		,						type=__UpperCAmelCase		,						default=__UpperCAmelCase		,						help="""Dataset processing name"""  )
  							test_parser.add_argument(
  							    """--cache_dir"""		,						type=__UpperCAmelCase		,						default=__UpperCAmelCase		,						help="""Cache directory where the datasets are stored."""		,						)
  							test_parser.add_argument(
  							    """--data_dir"""		,						type=__UpperCAmelCase		,						default=__UpperCAmelCase		,						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=__UpperCAmelCase		,						help="""Name of the dataset to download"""  )
  							test_parser.set_defaults(func=_test_command_factory  )
  
  
  
  
  	def __init__(			self			:		int		,						__UpperCAmelCase			:		str		,						__UpperCAmelCase			:		str		,						__UpperCAmelCase			:		str		,						__UpperCAmelCase			:		str		,						__UpperCAmelCase			:		bool		,						__UpperCAmelCase			:		bool		,						__UpperCAmelCase			:		bool		,						__UpperCAmelCase			:		bool		,						__UpperCAmelCase			:		bool		,						)    ->				Dict:
  							UpperCAmelCase_=     dataset
  							UpperCAmelCase_=     name
  							UpperCAmelCase_=     cache_dir
  							UpperCAmelCase_=     data_dir
  							UpperCAmelCase_=     all_configs
  							UpperCAmelCase_=     save_infos
  							UpperCAmelCase_=     ignore_verifications
  							UpperCAmelCase_=     force_redownload
  							UpperCAmelCase_=     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:
  													UpperCAmelCase_=     True
  
  
  
  
  	def 						_SCREAMING_SNAKE_CASE	(			self			:		List[str]  )    ->				str:
  							fl_logger().setLevel(__UpperCAmelCase  )
  							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  )
  							UpperCAmelCase_,     UpperCAmelCase_=     self._dataset, self._name
  							UpperCAmelCase_=     dataset_module_factory(__UpperCAmelCase  )
  							UpperCAmelCase_=     import_main_class(module.module_path  )
  							UpperCAmelCase_=     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=__UpperCAmelCase		,						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})"""  )
  													UpperCAmelCase_=     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=__UpperCAmelCase		,						)
  													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:
  																			UpperCAmelCase_=     os.path.join(builder_cls.get_imported_module_dir()		,						"""README.md"""  )
  																			UpperCAmelCase_=     Path(__UpperCAmelCase  ).name + """.py"""
  																			UpperCAmelCase_=     os.path.join(__UpperCAmelCase		,						__UpperCAmelCase  )
  																			if os.path.isfile(__UpperCAmelCase  ):
  																									UpperCAmelCase_=     os.path.dirname(__UpperCAmelCase  )
  																			elif os.path.isfile(__UpperCAmelCase  ):
  																									UpperCAmelCase_=     path
  																			elif os.path.isdir(__UpperCAmelCase  ):  # for local directories containing only data files
  																									UpperCAmelCase_=     path
  																			else:  # in case of a remote dataset
  																									UpperCAmelCase_=     None
  																									print(F"""Dataset card saved at {dataset_readme_path}"""  )
  
  																			# Move dataset_info back to the user
  																			if dataset_dir is not None:
  																									UpperCAmelCase_=     os.path.join(__UpperCAmelCase		,						"""README.md"""  )
  																									copyfile(__UpperCAmelCase		,						__UpperCAmelCase  )
  																									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  )
  																			UpperCAmelCase_=     os.path.join(self._cache_dir		,						datasets.config.DOWNLOADED_DATASETS_DIR  )
  																			if os.path.isdir(__UpperCAmelCase  ):
  																									logger.warning(F"""Clearing cache at {download_dir}"""  )
  																									rmtree(__UpperCAmelCase  )
  
  							print("""Test successful."""  )
  
  
  
  
  
style_context: 
  
  
  
  from .prime_check import Test
  
  Test()
  
  
  
  
  