code: 
  '''simple docstring'''
  
  
  
  
  
  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   snake_case_       (							_a     :							str			):
        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  lowerCAmelCase__   (       _SCREAMING_SNAKE_CASE       ):
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    _UpperCamelCase						= False  # to tell pytest it's not a test class
  
    @staticmethod
    def 		_lowerCamelCase	(lowerCAmelCase_  : Dict    )   ->       Tuple:
          snake_case_						       =							parser.add_parser("test"	, help="Test dataset implementation."    )
          test_parser.add_argument("--name"	, type=__A	, default=__A	, help="Dataset processing name"    )
          test_parser.add_argument(
              "--cache_dir"	, type=__A	, default=__A	, help="Cache directory where the datasets are stored."	, )
          test_parser.add_argument(
              "--data_dir"	, type=__A	, default=__A	, 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=__A	, help="Name of the dataset to download"    )
          test_parser.set_defaults(func=_test_command_factory    )
  
    def __init__(self  : Optional[int]	, lowerCAmelCase_  : str	, lowerCAmelCase_  : Dict	, lowerCAmelCase_  : List[str]	, lowerCAmelCase_  : int	, lowerCAmelCase_  : Tuple	, lowerCAmelCase_  : Optional[Any]	, lowerCAmelCase_  : int	, lowerCAmelCase_  : Union[str, Any]	, lowerCAmelCase_  : Any	, )   ->       Dict:
          snake_case_						       =							dataset
          snake_case_						       =							name
          snake_case_						       =							cache_dir
          snake_case_						       =							data_dir
          snake_case_						       =							all_configs
          snake_case_						       =							save_infos
          snake_case_						       =							ignore_verifications
          snake_case_						       =							force_redownload
          snake_case_						       =							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:
                snake_case_						       =							True
  
  
    def 		_lowerCamelCase	(self  : int    )   ->       List[Any]:
          fl_logger().setLevel(__A    )
          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    )
          snake_case_       ,	snake_case_						       =							self._dataset, self._name
          snake_case_						       =							dataset_module_factory(__A    )
          snake_case_						       =							import_main_class(module.module_path    )
          snake_case_						       =							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=__A	, 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})'''    )
                snake_case_						       =							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=__A	, )
                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:
                      snake_case_						       =							os.path.join(builder_cls.get_imported_module_dir()	, "README.md"    )
                      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
                      elif os.path.isdir(__A    ):  # for local directories containing only data files
                            snake_case_						       =							path
                      else:  # in case of a remote dataset
                            snake_case_						       =							None
                            print(f'''Dataset card saved at {dataset_readme_path}'''    )
  
                      # Move dataset_info back to the user
                      if dataset_dir is not None:
                            snake_case_						       =							os.path.join(__A	, "README.md"    )
                            copyfile(__A	, __A    )
                            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    )
                      snake_case_						       =							os.path.join(self._cache_dir	, datasets.config.DOWNLOADED_DATASETS_DIR    )
                      if os.path.isdir(__A    ):
                            logger.warning(f'''Clearing cache at {download_dir}'''    )
                            rmtree(__A    )
  
          print("Test successful."    )
  
  
style_context: 
  '''simple docstring'''
  
  
  
  
  
  def   snake_case_       (							_a     :							List[str] ,					_a     :							List[str]			):
        snake_case_						       =							1
        while b > 0:
              if b & 1:
                    res *= a
  
              a *= a
              b >>= 1
  
        return res
  def   snake_case_       (							_a     :							Union[str, Any] ,					_a     :							Tuple ,					_a     :							Optional[Any]			):
        snake_case_						       =							1
        while b > 0:
              if b & 1:
                    snake_case_						       =							((res % c) * (a % c)) % c
  
              a *= a
              b >>= 1
  
        return res
  
  