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
  
  
  _UpperCamelCase       = get_logger(__name__)
  
  
  
  
  
  
  
  def       lowerCAmelCase__(	lowercase       :    Optional[int]				) ->    Dict:
    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 (    a    ):
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        UpperCAmelCase_						:      Any       =False  # to tell pytest it's not a test class
  
  
  
  
  
  
  
        @staticmethod
        def 						UpperCAmelCase		( UpperCAmelCase   )       ->   str:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Optional[Any]        =       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				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase				,						)       ->   Tuple:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				List[str]        =       dataset
          __snake_case   :				List[Any]        =       name
          __snake_case   :				Tuple        =       cache_dir
          __snake_case   :				str        =       data_dir
          __snake_case   :				Optional[Any]        =       all_configs
          __snake_case   :				int        =       save_infos
          __snake_case   :				int        =       ignore_verifications
          __snake_case   :				str        =       force_redownload
          __snake_case   :				Optional[int]        =       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   :				Optional[Any]        =       True
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self   )       ->   Optional[int]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          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   )
          __snake_case    ,   __snake_case   :				List[Any]        =       self._dataset, self._name
          __snake_case   :				Optional[Any]        =       dataset_module_factory(UpperCAmelCase   )
          __snake_case   :				Union[str, Any]        =       import_main_class(module.module_path   )
          __snake_case   :				str        =       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})"""   )
            __snake_case   :				int        =       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:
              __snake_case   :				Union[str, Any]        =       os.path.join(builder_cls.get_imported_module_dir()				,						"README.md"   )
              __snake_case   :				List[str]        =       Path(UpperCAmelCase   ).name + ".py"
              __snake_case   :				Dict        =       os.path.join(UpperCAmelCase				,						UpperCAmelCase   )
              if os.path.isfile(UpperCAmelCase   ):
                __snake_case   :				str        =       os.path.dirname(UpperCAmelCase   )
              elif os.path.isfile(UpperCAmelCase   ):
                __snake_case   :				Union[str, Any]        =       path
              elif os.path.isdir(UpperCAmelCase   ):  # for local directories containing only data files
                __snake_case   :				Union[str, Any]        =       path
              else:  # in case of a remote dataset
                __snake_case   :				Dict        =       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   :				List[Any]        =       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   )
              __snake_case   :				Tuple        =       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 typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  _UpperCamelCase       = {
      '''configuration_deta''': ['''DETA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetaConfig'''],
  }
  
  try:
       if not is_vision_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       _UpperCamelCase       = ['''DetaImageProcessor''']
  
  try:
       if not is_torch_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       _UpperCamelCase       = [
           '''DETA_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''DetaForObjectDetection''',
           '''DetaModel''',
           '''DetaPreTrainedModel''',
       ]
  
  
  if TYPE_CHECKING:
       from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
  
       try:
            if not is_vision_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .image_processing_deta import DetaImageProcessor
  
       try:
            if not is_torch_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .modeling_deta import (
                DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
                DetaForObjectDetection,
                DetaModel,
                DetaPreTrainedModel,
            )
  
  else:
       import sys
  
       _UpperCamelCase       = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  