
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


lowercase__						:Optional[Any]					    =       get_logger(__name__)



def 			UpperCamelCase       (				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 							lowercase						(   lowerCamelCase_						):
							lowercase_			:			Tuple			   =False  # to tell pytest it's not a test class




							@staticmethod
							def 					A__ (							A__):
												lowercase		      =		parser.add_parser('''test'''  ,help='''Test dataset implementation.''')
												test_parser.add_argument('''--name'''  ,type=_lowercase  ,default=_lowercase  ,help='''Dataset processing name''')
												test_parser.add_argument(
												    '''--cache_dir'''  ,type=_lowercase  ,default=_lowercase  ,help='''Cache directory where the datasets are stored.'''  ,)
												test_parser.add_argument(
												    '''--data_dir'''  ,type=_lowercase  ,default=_lowercase  ,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=_lowercase  ,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__  ,):
												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 					A__ (							self):
												fl_logger().setLevel(_lowercase)
												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(_lowercase)
												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=_lowercase  ,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=_lowercase  ,)
																	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(_lowercase).name + '''.py'''
																						lowercase		      =		os.path.join(_lowercase  ,_lowercase)
																						if os.path.isfile(_lowercase):
																											lowercase		      =		os.path.dirname(_lowercase)
																						elif os.path.isfile(_lowercase):
																											lowercase		      =		path
																						elif os.path.isdir(_lowercase):  # 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(_lowercase  ,'''README.md''')
																											copyfile(_lowercase  ,_lowercase)
																											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(_lowercase):
																											logger.warning(f'Clearing cache at {download_dir}')
																											rmtree(_lowercase)

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





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowerCamelCase     :					Optional[int]				  =						{'''configuration_vilt''': ['''VILT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViltConfig''']}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase     :					Dict				  =						['''ViltFeatureExtractor''']
   __lowerCamelCase     :					Dict				  =						['''ViltImageProcessor''']
   __lowerCamelCase     :					str				  =						['''ViltProcessor''']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase     :					Any				  =						[
       '''VILT_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''ViltForImageAndTextRetrieval''',
       '''ViltForImagesAndTextClassification''',
       '''ViltForTokenClassification''',
       '''ViltForMaskedLM''',
       '''ViltForQuestionAnswering''',
       '''ViltLayer''',
       '''ViltModel''',
       '''ViltPreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_vilt import ViltFeatureExtractor
      from .image_processing_vilt import ViltImageProcessor
      from .processing_vilt import ViltProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vilt import (
          VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
          ViltForImageAndTextRetrieval,
          ViltForImagesAndTextClassification,
          ViltForMaskedLM,
          ViltForQuestionAnswering,
          ViltForTokenClassification,
          ViltLayer,
          ViltModel,
          ViltPreTrainedModel,
      )


else:
   import sys

   __lowerCamelCase     :					List[str]				  =						_LazyModule(__name__, globals()['''__file__'''], _import_structure)
