




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			:      Union[str, Any]      			=get_logger(__name__)

def 	lowerCAmelCase_	(     lowerCamelCase:				Tuple  )    ->	Union[str, Any]:


      '''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	(						_lowerCAmelCase						):
     """simple docstring"""

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




     @staticmethod
     def        __snake_case      (			A__     :      ArgumentParser	) ->				Any:
           lowerCamelCase__					     = 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     :      int		,     A__     :      str		,     A__     :      str		,     A__     :      str		,     A__     :      str		,     A__     :      bool		,     A__     :      bool		,     A__     :      bool		,     A__     :      bool		,     A__     :      bool		,     ) ->				str:
           lowerCamelCase__					     = dataset
           lowerCamelCase__					     = name
           lowerCamelCase__					     = cache_dir
           lowerCamelCase__					     = data_dir
           lowerCamelCase__					     = all_configs
           lowerCamelCase__					     = save_infos
           lowerCamelCase__					     = ignore_verifications
           lowerCamelCase__					     = force_redownload
           lowerCamelCase__					     = 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:
                 lowerCamelCase__					     = True




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

                       # Move dataset_info back to the user
                       if dataset_dir is not None:
                             lowerCamelCase__					     = 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	)
                       lowerCamelCase__					     = 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.'	)





'''simple docstring'''



import os

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
     from .testing_utils import (
         floats_tensor,
         load_hf_numpy,
         load_image,
         load_numpy,
         load_pt,
         nightly,
         parse_flag_from_env,
         print_tensor_test,
         require_torch_a,
         require_torch_gpu,
         skip_mps,
         slow,
         torch_all_close,
         torch_device,
     )
     from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


UpperCAmelCase_				:     int     			=						get_logger(__name__)







def 	_UpperCamelCase       (_lowerCamelCase							:   Union[str, Any]		)->      Tuple:




     '''simple docstring'''





     if version.parse(_lowerCamelCase		) < version.parse(_lowerCamelCase		):
          if "dev" in min_version:
               __snake_case			    =     (
                   '''This example requires a source install from HuggingFace diffusers (see '''
                   '''`https://huggingface.co/docs/diffusers/installation#install-from-source`),'''
               )
          else:
               __snake_case			    =     f'''This example requires a minimum version of {min_version},'''
          error_message += f''' but the version found is {__version__}.\n'''
          raise ImportError(_lowerCamelCase		)






