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 			__lowercase	(						_UpperCamelCase     )    ->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 				__SCREAMING_SNAKE_CASE   (			a_   ):
        A				:							Union[str, Any]    							=     False  # to tell pytest it's not a test class
  
  
        @staticmethod
        def        __lowerCamelCase			(							SCREAMING_SNAKE_CASE__		):
              lowercase			:   Dict					   =		parser.add_parser('''test'''							,						help='''Test dataset implementation.'''		)
              test_parser.add_argument('''--name'''							,						type=_snake_case							,						default=_snake_case							,						help='''Dataset processing name'''		)
              test_parser.add_argument(
                  '''--cache_dir'''							,						type=_snake_case							,						default=_snake_case							,						help='''Cache directory where the datasets are stored.'''							,						)
              test_parser.add_argument(
                  '''--data_dir'''							,						type=_snake_case							,						default=_snake_case							,						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=_snake_case							,						help='''Name of the dataset to download'''		)
              test_parser.set_defaults(func=_test_command_factory		)
  
  
        def __init__(							self							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						):
              lowercase			:   Tuple					   =		dataset
              lowercase			:   List[Any]					   =		name
              lowercase			:   Optional[Any]					   =		cache_dir
              lowercase			:   str					   =		data_dir
              lowercase			:   int					   =		all_configs
              lowercase			:   int					   =		save_infos
              lowercase			:   str					   =		ignore_verifications
              lowercase			:   str					   =		force_redownload
              lowercase			:   Union[str, Any]					   =		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:
                    lowercase			:   Optional[Any]					   =		True
  
  
  
  
  
  
        def        __lowerCamelCase			(							self		):
              fl_logger().setLevel(_snake_case		)
              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		)
              lowercase			:   List[Any]					   =		self._dataset, self._name
              lowercase			:   Tuple					   =		dataset_module_factory(_snake_case		)
              lowercase			:   Optional[int]					   =		import_main_class(module.module_path		)
              lowercase			:   int					   =		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=_snake_case							,						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})"""		)
                    lowercase			:   Any					   =		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=_snake_case							,						)
                    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:
                          lowercase			:   Union[str, Any]					   =		os.path.join(builder_cls.get_imported_module_dir()							,						'''README.md'''		)
                          lowercase			:   Tuple					   =		Path(_snake_case		).name + '''.py'''
                          lowercase			:   Any					   =		os.path.join(_snake_case							,						_snake_case		)
                          if os.path.isfile(_snake_case		):
                                lowercase			:   List[Any]					   =		os.path.dirname(_snake_case		)
                          elif os.path.isfile(_snake_case		):
                                lowercase			:   Tuple					   =		path
                          elif os.path.isdir(_snake_case		):  # for local directories containing only data files
                                lowercase			:   Dict					   =		path
                          else:  # in case of a remote dataset
                                lowercase			:   List[str]					   =		None
                                print(f"""Dataset card saved at {dataset_readme_path}"""		)
  
                          # Move dataset_info back to the user
                          if dataset_dir is not None:
                                lowercase			:   Union[str, Any]					   =		os.path.join(_snake_case							,						'''README.md'''		)
                                copyfile(_snake_case							,						_snake_case		)
                                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		)
                          lowercase			:   Optional[Any]					   =		os.path.join(self._cache_dir							,						datasets.config.DOWNLOADED_DATASETS_DIR		)
                          if os.path.isdir(_snake_case		):
                                logger.warning(f"""Clearing cache at {download_dir}"""		)
                                rmtree(_snake_case		)
  
              print('''Test successful.'''		)
  
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  __a   				=      {'''configuration_yoso''': ['''YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''YosoConfig''']}
  
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      [
        '''YOSO_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''YosoForMaskedLM''',
        '''YosoForMultipleChoice''',
        '''YosoForQuestionAnswering''',
        '''YosoForSequenceClassification''',
        '''YosoForTokenClassification''',
        '''YosoLayer''',
        '''YosoModel''',
        '''YosoPreTrainedModel''',
    ]
  
  
  if TYPE_CHECKING:
    from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig
  
    try:
      if not is_torch_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .modeling_yoso import (
          YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
          YosoForMaskedLM,
          YosoForMultipleChoice,
          YosoForQuestionAnswering,
          YosoForSequenceClassification,
          YosoForTokenClassification,
          YosoLayer,
          YosoModel,
          YosoPreTrainedModel,
      )
  
  
  else:
    import sys
  
    __a   				=      _LazyModule(__name__, globals()['''__file__'''], _import_structure)
  
  