






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


SCREAMING_SNAKE_CASE								=  get_logger(__name__)

def        _lowerCamelCase		(  __A      :							int	) ->   Optional[Any]:
    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_      (  UpperCamelCase_     ):






 '''simple docstring'''




 _SCREAMING_SNAKE_CASE							:     List[Any]	=   False  # to tell pytest it's not a test class


 @staticmethod
 def 	snake_case__			(		_A)	->						Dict:

     """simple docstring"""



     _UpperCAmelCase			: Optional[Any]     					=			parser.add_parser('''test'''							,					help='''Test dataset implementation.''')
     test_parser.add_argument('''--name'''							,					type=__SCREAMING_SNAKE_CASE							,					default=__SCREAMING_SNAKE_CASE							,					help='''Dataset processing name''')
     test_parser.add_argument(
         '''--cache_dir'''							,					type=__SCREAMING_SNAKE_CASE							,					default=__SCREAMING_SNAKE_CASE							,					help='''Cache directory where the datasets are stored.'''							,					)
     test_parser.add_argument(
         '''--data_dir'''							,					type=__SCREAMING_SNAKE_CASE							,					default=__SCREAMING_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=__SCREAMING_SNAKE_CASE							,					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							,					)	->						Optional[int]:

     """simple docstring"""



     _UpperCAmelCase			: str     					=			dataset
     _UpperCAmelCase			: str     					=			name
     _UpperCAmelCase			: Any     					=			cache_dir
     _UpperCAmelCase			: Tuple     					=			data_dir
     _UpperCAmelCase			: Optional[int]     					=			all_configs
     _UpperCAmelCase			: List[str]     					=			save_infos
     _UpperCAmelCase			: int     					=			ignore_verifications
     _UpperCAmelCase			: Union[str, Any]     					=			force_redownload
     _UpperCAmelCase			: Optional[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:
         _UpperCAmelCase			: List[str]     					=			True


 def 	snake_case__			(		self)	->						str:

     """simple docstring"""



     fl_logger().setLevel(__SCREAMING_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)
     _UpperCAmelCase					,	_UpperCAmelCase			: int     					=			self._dataset, self._name
     _UpperCAmelCase			: Any     					=			dataset_module_factory(__SCREAMING_SNAKE_CASE)
     _UpperCAmelCase			: int     					=			import_main_class(module.module_path)
     _UpperCAmelCase			: Optional[Any]     					=			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=__SCREAMING_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})''')
         _UpperCAmelCase			: 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=__SCREAMING_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:
             _UpperCAmelCase			: Optional[Any]     					=			os.path.join(builder_cls.get_imported_module_dir()							,					'''README.md''')
             _UpperCAmelCase			: str     					=			Path(__SCREAMING_SNAKE_CASE).name + '''.py'''
             _UpperCAmelCase			: Any     					=			os.path.join(__SCREAMING_SNAKE_CASE							,					__SCREAMING_SNAKE_CASE)
             if os.path.isfile(__SCREAMING_SNAKE_CASE):
                 _UpperCAmelCase			: List[Any]     					=			os.path.dirname(__SCREAMING_SNAKE_CASE)
             elif os.path.isfile(__SCREAMING_SNAKE_CASE):
                 _UpperCAmelCase			: Tuple     					=			path
             elif os.path.isdir(__SCREAMING_SNAKE_CASE):  # for local directories containing only data files
                 _UpperCAmelCase			: int     					=			path
             else:  # in case of a remote dataset
                 _UpperCAmelCase			: Union[str, Any]     					=			None
                 print(f'''Dataset card saved at {dataset_readme_path}''')

             # Move dataset_info back to the user
             if dataset_dir is not None:
                 _UpperCAmelCase			: Tuple     					=			os.path.join(__SCREAMING_SNAKE_CASE							,					'''README.md''')
                 copyfile(__SCREAMING_SNAKE_CASE							,					__SCREAMING_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)
             _UpperCAmelCase			: List[Any]     					=			os.path.join(self._cache_dir							,					datasets.config.DOWNLOADED_DATASETS_DIR)
             if os.path.isdir(__SCREAMING_SNAKE_CASE):
                 logger.warning(f'''Clearing cache at {download_dir}''')
                 rmtree(__SCREAMING_SNAKE_CASE)

     print('''Test successful.''')












from unittest.mock import patch

import datasets
from datasets import Dataset

def        _lowerCamelCase		(  ) ->   Tuple:
    _UpperCAmelCase			: Union[str, Any]     					=			Dataset.from_dict({'''col_1''': [3, 2, 0, 1]}	)

    with patch('''tqdm.auto.tqdm'''	) as mock_tqdm:
        datasets.disable_progress_bar()
        dset.map(lambda __A	: {"col_2": x["col_1"] + 1}	)
        mock_tqdm.assert_not_called()

        mock_tqdm.reset_mock()

        datasets.enable_progress_bar()
        dset.map(lambda __A	: {"col_2": x["col_1"] + 1}	)
        mock_tqdm.assert_called()




