






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__     :      Optional[Any]             =			get_logger(__name__)






def   a      (						lowerCamelCase_    ):






				'''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 				_UpperCAmelCase (	A__     ):

				"""simple docstring"""




				lowercase__    							=	False  # to tell pytest it's not a test class




				@staticmethod
				def     lowercase__       (					lowerCamelCase						:   ArgumentParser  ):

								'''simple docstring'''
								lowercase__       			=      parser.add_parser('''test''',  help='''Test dataset implementation.'''  )
								test_parser.add_argument('''--name''',  type=lowerCamelCase,  default=lowerCamelCase,  help='''Dataset processing name'''  )
								test_parser.add_argument(
								    '''--cache_dir''',  type=lowerCamelCase,  default=lowerCamelCase,  help='''Cache directory where the datasets are stored.''',  )
								test_parser.add_argument(
								    '''--data_dir''',  type=lowerCamelCase,  default=lowerCamelCase,  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=lowerCamelCase,  help='''Name of the dataset to download'''  )
								test_parser.set_defaults(func=_test_command_factory  )




				def __init__(					self						:   int,  lowerCamelCase						:   str,  lowerCamelCase						:   str,  lowerCamelCase						:   str,  lowerCamelCase						:   str,  lowerCamelCase						:   bool,  lowerCamelCase						:   bool,  lowerCamelCase						:   bool,  lowerCamelCase						:   bool,  lowerCamelCase						:   bool,  ):

								'''simple docstring'''
								lowercase__       			=      dataset
								lowercase__       			=      name
								lowercase__       			=      cache_dir
								lowercase__       			=      data_dir
								lowercase__       			=      all_configs
								lowercase__       			=      save_infos
								lowercase__       			=      ignore_verifications
								lowercase__       			=      force_redownload
								lowercase__       			=      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__       			=      True




				def     lowercase__       (					self						:   str  ):

								'''simple docstring'''
								fl_logger().setLevel(lowerCamelCase  )
								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__			,						lowercase__       			=      self._dataset, self._name
								lowercase__       			=      dataset_module_factory(lowerCamelCase  )
								lowercase__       			=      import_main_class(module.module_path  )
								lowercase__       			=      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=lowerCamelCase,  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__       			=      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=lowerCamelCase,  )
												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__       			=      os.path.join(builder_cls.get_imported_module_dir(),  '''README.md'''  )
																lowercase__       			=      Path(lowerCamelCase  ).name + '''.py'''
																lowercase__       			=      os.path.join(lowerCamelCase,  lowerCamelCase  )
																if os.path.isfile(lowerCamelCase  ):
																				lowercase__       			=      os.path.dirname(lowerCamelCase  )
																elif os.path.isfile(lowerCamelCase  ):
																				lowercase__       			=      path
																elif os.path.isdir(lowerCamelCase  ):  # for local directories containing only data files
																				lowercase__       			=      path
																else:  # in case of a remote dataset
																				lowercase__       			=      None
																				print(F"""Dataset card saved at {dataset_readme_path}"""  )

																# Move dataset_info back to the user
																if dataset_dir is not None:
																				lowercase__       			=      os.path.join(lowerCamelCase,  '''README.md'''  )
																				copyfile(lowerCamelCase,  lowerCamelCase  )
																				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__       			=      os.path.join(self._cache_dir,  datasets.config.DOWNLOADED_DATASETS_DIR  )
																if os.path.isdir(lowerCamelCase  ):
																				logger.warning(F"""Clearing cache at {download_dir}"""  )
																				rmtree(lowerCamelCase  )

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












import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Image
from datasets.packaged_modules.text.text import Text

from ..utils import require_pil






@pytest.fixture
def   a      (						lowerCamelCase_    ):






				'''simple docstring'''
				lowercase__       			=      tmp_path / '''text.txt'''
				lowercase__       			=      textwrap.dedent(
				    '''\
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

        Second paragraph:
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
        '''    )
				with open(lowerCamelCase_		,       '''w'''		,       encoding='''utf-8'''    ) as f:
								f.write(lowerCamelCase_    )
				return str(lowerCamelCase_    )






@pytest.fixture
def   a      (						lowerCamelCase_		,       lowerCamelCase_    ):






				'''simple docstring'''
				lowercase__       			=      tmp_path / '''text_with_image.txt'''
				with open(lowerCamelCase_		,       '''w'''		,       encoding='''utf-8'''    ) as f:
								f.write(lowerCamelCase_    )
				return str(lowerCamelCase_    )






@pytest.mark.parametrize('''keep_linebreaks'''		,       [True, False]    )
def   a      (						lowerCamelCase_		,       lowerCamelCase_    ):






				'''simple docstring'''
				with open(lowerCamelCase_		,       encoding='''utf-8'''    ) as f:
								lowercase__       			=      f.read().splitlines(keepends=lowerCamelCase_    )
				lowercase__       			=      Text(keep_linebreaks=lowerCamelCase_		,       encoding='''utf-8'''    )
				lowercase__       			=      text._generate_tables([[text_file]]    )
				lowercase__       			=      pa.concat_tables([table for _, table in generator]    ).to_pydict()['''text''']
				assert generated_content == expected_content






@require_pil
def   a      (						lowerCamelCase_    ):






				'''simple docstring'''
				with open(lowerCamelCase_		,       encoding='''utf-8'''    ) as f:
								lowercase__       			=      f.read().splitlines()[0]
				lowercase__       			=      Text(encoding='''utf-8'''		,       features=Features({'''image''': Image()}    )    )
				lowercase__       			=      text._generate_tables([[text_file_with_image]]    )
				lowercase__       			=      pa.concat_tables([table for _, table in generator]    )
				assert pa_table.schema.field('''image'''    ).type == Image()()
				lowercase__       			=      pa_table.to_pydict()['''image''']
				assert generated_content == [{"path": image_file, "bytes": None}]






@pytest.mark.parametrize('''sample_by'''		,       ['''line''', '''paragraph''', '''document''']    )
def   a      (						lowerCamelCase_		,       lowerCamelCase_    ):






				'''simple docstring'''
				with open(lowerCamelCase_		,       encoding='''utf-8'''    ) as f:
								lowercase__       			=      f.read()
				if sample_by == "line":
								lowercase__       			=      expected_content.splitlines()
				elif sample_by == "paragraph":
								lowercase__       			=      expected_content.split('''\n\n'''    )
				elif sample_by == "document":
								lowercase__       			=      [expected_content]
				lowercase__       			=      Text(sample_by=lowerCamelCase_		,       encoding='''utf-8'''		,       chunksize=100    )
				lowercase__       			=      text._generate_tables([[text_file]]    )
				lowercase__       			=      pa.concat_tables([table for _, table in generator]    ).to_pydict()['''text''']
				assert generated_content == expected_content




