




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__	:				Optional[Any]  =       get_logger(__name__)

def 					A				(				_SCREAMING_SNAKE_CASE   )     ->			Tuple:
       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__     (__lowerCAmelCase					):

    '''simple docstring'''



    lowerCamelCase_				:     int     					=				False  # to tell pytest it's not a test class







    @staticmethod
    def    _lowercase					(   UpperCamelCase__					)					->				Optional[int]:
           lowerCamelCase       :				Union[str, 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					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  UpperCamelCase__					,  )					->				Any:
           lowerCamelCase       :				Dict      			= dataset
           lowerCamelCase       :				Any      			= name
           lowerCamelCase       :				List[str]      			= cache_dir
           lowerCamelCase       :				Optional[int]      			= data_dir
           lowerCamelCase       :				int      			= all_configs
           lowerCamelCase       :				Tuple      			= save_infos
           lowerCamelCase       :				List[Any]      			= ignore_verifications
           lowerCamelCase       :				Any      			= force_redownload
           lowerCamelCase       :				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:
                  lowerCamelCase       :				Dict      			= True







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

                         # Move dataset_info back to the user
                         if dataset_dir is not None:
                                lowerCamelCase       :				Optional[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					)
                         lowerCamelCase       :				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 typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__	:				Dict  =       {
    'configuration_oneformer': ['ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OneFormerConfig'],
    'processing_oneformer': ['OneFormerProcessor'],
}

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       SCREAMING_SNAKE_CASE__	:				Optional[Any]  =       ['OneFormerImageProcessor']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       SCREAMING_SNAKE_CASE__	:				Optional[int]  =       [
           'ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
           'OneFormerForUniversalSegmentation',
           'OneFormerModel',
           'OneFormerPreTrainedModel',
       ]

if TYPE_CHECKING:
       from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
       from .processing_oneformer import OneFormerProcessor

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .image_processing_oneformer import OneFormerImageProcessor
       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_oneformer import (
                  ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  OneFormerForUniversalSegmentation,
                  OneFormerModel,
                  OneFormerPreTrainedModel,
              )


else:
       import sys

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






