


"""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


UpperCamelCase__							:List[str]       =  get_logger(__name__)





def 							A_					(   snake_case__		)				->     str:
			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(     lowerCamelCase__		):

		"""simple docstring"""





		A         =       False  # to tell pytest it's not a test class
		@staticmethod
		def      _UpperCamelCase(   SCREAMING_SNAKE_CASE__      )			->  Optional[Any]:

					"""simple docstring"""



					_UpperCamelCase				:List[str]				    =  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				,							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__				,							)			->  Optional[int]:

					"""simple docstring"""



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





		def      _UpperCamelCase(   self      )			->  List[Any]:

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

											# Move dataset_info back to the user
											if dataset_dir is not None:
														_UpperCamelCase				:Union[str, Any]				    =  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[str]				    =  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.'''      )





"""simple docstring"""






import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Value
from datasets.packaged_modules.json.json import Json





@pytest.fixture
def 							A_					(   snake_case__		)				->     Union[str, Any]:
			_UpperCamelCase				:int				    =  tmp_path / '''file.jsonl'''
			_UpperCamelCase				:Dict				    =  textwrap.dedent(
			    '''\
        {"col_1": -1}
        {"col_1": 1, "col_2": 2}
        {"col_1": 10, "col_2": 20}
        '''		)
			with open(snake_case__					,				'''w'''		) as f:
						f.write(snake_case__		)
			return str(snake_case__		)





@pytest.fixture
def 							A_					(   snake_case__		)				->     Optional[int]:
			_UpperCamelCase				:Dict				    =  tmp_path / '''file_utf16_encoded.jsonl'''
			_UpperCamelCase				:Dict				    =  textwrap.dedent(
			    '''\
        {"col_1": -1}
        {"col_1": 1, "col_2": 2}
        {"col_1": 10, "col_2": 20}
        '''		)
			with open(snake_case__					,				'''w'''					,				encoding='''utf-16'''		) as f:
						f.write(snake_case__		)
			return str(snake_case__		)





@pytest.fixture
def 							A_					(   snake_case__		)				->     Optional[int]:
			_UpperCamelCase				:Optional[Any]				    =  tmp_path / '''file_with_list_of_dicts.json'''
			_UpperCamelCase				:str				    =  textwrap.dedent(
			    '''\
        [
            {"col_1": -1},
            {"col_1": 1, "col_2": 2},
            {"col_1": 10, "col_2": 20}
        ]
        '''		)
			with open(snake_case__					,				'''w'''		) as f:
						f.write(snake_case__		)
			return str(snake_case__		)





@pytest.fixture
def 							A_					(   snake_case__		)				->     Union[str, Any]:
			_UpperCamelCase				:Dict				    =  tmp_path / '''file_with_list_of_dicts_field.json'''
			_UpperCamelCase				:Optional[int]				    =  textwrap.dedent(
			    '''\
        {
            "field1": 1,
            "field2": "aabb",
            "field3": [
                {"col_1": -1},
                {"col_1": 1, "col_2": 2},
                {"col_1": 10, "col_2": 20}
            ]
        }
        '''		)
			with open(snake_case__					,				'''w'''		) as f:
						f.write(snake_case__		)
			return str(snake_case__		)





@pytest.mark.parametrize(
    '''file_fixture, config_kwargs'''					,				[
        ('''jsonl_file''', {}),
        ('''jsonl_file_utf16_encoded''', {'''encoding''': '''utf-16'''}),
        ('''json_file_with_list_of_dicts''', {}),
        ('''json_file_with_list_of_dicts_field''', {'''field''': '''field3'''}),
    ]					,				)
def 							A_					(   snake_case__					,				snake_case__					,				snake_case__		)				->     int:
			_UpperCamelCase				:Any				    =  Json(**snake_case__		)
			_UpperCamelCase				:str				    =  json._generate_tables([[request.getfixturevalue(snake_case__		)]]		)
			_UpperCamelCase				:List[Any]				    =  pa.concat_tables([table for _, table in generator]		)
			assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20]}





@pytest.mark.parametrize(
    '''file_fixture, config_kwargs'''					,				[
        (
            '''jsonl_file''',
            {'''features''': Features({'''col_1''': Value('''int64'''		), '''col_2''': Value('''int64'''		), '''missing_col''': Value('''string'''		)}		)},
        ),
        (
            '''json_file_with_list_of_dicts''',
            {'''features''': Features({'''col_1''': Value('''int64'''		), '''col_2''': Value('''int64'''		), '''missing_col''': Value('''string'''		)}		)},
        ),
        (
            '''json_file_with_list_of_dicts_field''',
            {
                '''field''': '''field3''',
                '''features''': Features(
                    {'''col_1''': Value('''int64'''		), '''col_2''': Value('''int64'''		), '''missing_col''': Value('''string'''		)}		),
            },
        ),
    ]					,				)
def 							A_					(   snake_case__					,				snake_case__					,				snake_case__		)				->     Optional[int]:
			_UpperCamelCase				:Union[str, Any]				    =  Json(**snake_case__		)
			_UpperCamelCase				:List[str]				    =  json._generate_tables([[request.getfixturevalue(snake_case__		)]]		)
			_UpperCamelCase				:str				    =  pa.concat_tables([table for _, table in generator]		)
			assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20], "missing_col": [None, None, None]}

