


'''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.'''		)





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)

