





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    :   List[Any]          =       get_logger(__name__)





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__			)  ->    Dict:







			'''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      A_	(a_      ):
	UpperCAmelCase__ =      False  # to tell pytest it's not a test class
	@staticmethod
	def 					_lowercase    (   _A		):






				'''simple docstring'''







				UpperCAmelCase       		=    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							, _A							, _A							, _A							, _A							, _A							, _A							, _A							, _A							, _A							, ):






				'''simple docstring'''







				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 					_lowercase    (   self		):






				'''simple docstring'''







				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		)
				UpperCAmelCase		,      UpperCAmelCase       		=    self._dataset, self._name
				UpperCAmelCase       		=    dataset_module_factory(_A		)
				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=_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})"""		)
							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=_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:
										UpperCAmelCase       		=    os.path.join(builder_cls.get_imported_module_dir()							, '''README.md'''		)
										UpperCAmelCase       		=    Path(_A		).name + '''.py'''
										UpperCAmelCase       		=    os.path.join(_A							, _A		)
										if os.path.isfile(_A		):
													UpperCAmelCase       		=    os.path.dirname(_A		)
										elif os.path.isfile(_A		):
													UpperCAmelCase       		=    path
										elif os.path.isdir(_A		):  # 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(_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		)
										UpperCAmelCase       		=    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.'''		)










def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__			)  ->    float:







			'''simple docstring'''

			if mass < 0:
						raise ValueError('''The mass of the body cannot be negative'''			)
			if radius <= 0:
						raise ValueError('''The radius is always a positive non zero integer'''			)
			return (mass * (velocity) ** 2) / radius


if __name__ == "__main__":
				import doctest

				doctest.testmod(verbose=True)



