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


lowerCAmelCase      :				List[Any]     			=get_logger(__name__)







def     A__	(       __A						):







    '''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 						__snake_case						(			__UpperCamelCase		):





      '''simple docstring'''






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



      @staticmethod
      def 						_SCREAMING_SNAKE_CASE     (       _UpperCamelCase  :					ArgumentParser)					->int:


          """simple docstring"""


          _lowerCamelCase  :		Optional[Any]			    =    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  :					Tuple     ,	_UpperCamelCase  :					str     ,	_UpperCamelCase  :					str     ,	_UpperCamelCase  :					str     ,	_UpperCamelCase  :					str     ,	_UpperCamelCase  :					bool     ,	_UpperCamelCase  :					bool     ,	_UpperCamelCase  :					bool     ,	_UpperCamelCase  :					bool     ,	_UpperCamelCase  :					bool     ,	)					->Union[str, Any]:


          """simple docstring"""


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




      def 						_SCREAMING_SNAKE_CASE     (       self  :					Optional[int])					->int:


          """simple docstring"""


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

                  # Move dataset_info back to the user
                  if dataset_dir is not None:
                      _lowerCamelCase  :		Dict			    =    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  :		int			    =    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.""")









class 						UpperCAmelCase__     :




			'''simple docstring'''






			def __init__(  self				:					List[Any]			,			a_				:					int					):
					'''simple docstring'''





					__UpperCAmelCase       :	List[Any]						=      data
					__UpperCAmelCase       :	BinaryTreeNode | None						=      None
					__UpperCAmelCase       :	BinaryTreeNode | None						=      None

def 			a		( _UpperCAmelCase				:   BinaryTreeNode | None					,  _UpperCAmelCase				:   int		):







		'''simple docstring'''





		if node is None:
				__UpperCAmelCase       :	List[Any]						=      BinaryTreeNode(_UpperCAmelCase		)
				return node

		# binary search tree is not empty,
		# so we will insert it into the tree
		# if new_value is less than value of data in node,
		#  add it to left subtree and proceed recursively
		if new_value < node.data:
				__UpperCAmelCase       :	int						=      insert(node.left_child					,  _UpperCAmelCase		)
		else:
				# if new_value is greater than value of data in node,
				#  add it to right subtree and proceed recursively
				__UpperCAmelCase       :	str						=      insert(node.right_child					,  _UpperCAmelCase		)
		return node

def 			a		( _UpperCAmelCase				:   None | BinaryTreeNode		):  # if node is None,return







		'''simple docstring'''





		if node:
				__UpperCAmelCase       :	Optional[int]						=      inorder(node.left_child		)
				__UpperCAmelCase       :	int						=      [*inorder_array, node.data]
				__UpperCAmelCase       :	Optional[Any]						=      inorder_array + inorder(node.right_child		)
		else:
				__UpperCAmelCase       :	List[Any]						=      []
		return inorder_array

def 			a		( ):







		'''simple docstring'''





		__UpperCAmelCase       :	Any						=      insert(_UpperCAmelCase					,  15		)
		insert(_UpperCAmelCase					,  10		)
		insert(_UpperCAmelCase					,  25		)
		insert(_UpperCAmelCase					,  6		)
		insert(_UpperCAmelCase					,  14		)
		insert(_UpperCAmelCase					,  20		)
		insert(_UpperCAmelCase					,  60		)
		return root

def 			a		( ):







		'''simple docstring'''





		__UpperCAmelCase       :	List[Any]						=      make_tree()
		print('''Printing values of binary search tree in Inorder Traversal.'''		)
		inorder(_UpperCAmelCase		)


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				main()





