






"""simple docstring"""





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	:		Union[str, Any]			)				->    Optional[int]:
  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						( __snake_case		):
    SCREAMING_SNAKE_CASE						:					Tuple						=			False  # to tell pytest it's not a test class






    @staticmethod
    def        UpperCamelCase	(	__SCREAMING_SNAKE_CASE					:							ArgumentParser )					->		List[str]:
      lowerCamelCase_   					=						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					:							Union[str, Any]	,						__SCREAMING_SNAKE_CASE					:							str	,						__SCREAMING_SNAKE_CASE					:							str	,						__SCREAMING_SNAKE_CASE					:							str	,						__SCREAMING_SNAKE_CASE					:							str	,						__SCREAMING_SNAKE_CASE					:							bool	,						__SCREAMING_SNAKE_CASE					:							bool	,						__SCREAMING_SNAKE_CASE					:							bool	,						__SCREAMING_SNAKE_CASE					:							bool	,						__SCREAMING_SNAKE_CASE					:							bool	,						)					->		Optional[int]:
      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        UpperCamelCase	(	self					:							Tuple )					->		Optional[Any]:
      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_   					=						self._dataset, self._name
      lowerCamelCase_   					=						dataset_module_factory(__SCREAMING_SNAKE_CASE )
      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=__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_   					=						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_   					=						os.path.join(builder_cls.get_imported_module_dir()	,						'README.md' )
          lowerCamelCase_   					=						Path(__SCREAMING_SNAKE_CASE ).name + '.py'
          lowerCamelCase_   					=						os.path.join(__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE )
          if os.path.isfile(__SCREAMING_SNAKE_CASE ):
            lowerCamelCase_   					=						os.path.dirname(__SCREAMING_SNAKE_CASE )
          elif os.path.isfile(__SCREAMING_SNAKE_CASE ):
            lowerCamelCase_   					=						path
          elif os.path.isdir(__SCREAMING_SNAKE_CASE ):  # 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(__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_   					=						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.' )












"""simple docstring"""





def 					lowerCamelCase__	(							_lowerCamelCase	:		dict		,    _lowerCamelCase	:		int			)				->    int:
  if not root or root not in binary_tree_mirror_dictionary:
    return
  lowerCamelCase_					,     lowerCamelCase_   					=						binary_tree_mirror_dictionary[root][:2]
  lowerCamelCase_   					=						[right_child, left_child]
  binary_tree_mirror_dict(_lowerCamelCase		,    _lowerCamelCase			)
  binary_tree_mirror_dict(_lowerCamelCase		,    _lowerCamelCase			)







def 					lowerCamelCase__	(							_lowerCamelCase	:		dict		,    _lowerCamelCase	:		int = 1			)				->    dict:
  if not binary_tree:
    raise ValueError('binary tree cannot be empty'			)
  if root not in binary_tree:
    lowerCamelCase_   					=						F'''root {root} is not present in the binary_tree'''
    raise ValueError(_lowerCamelCase			)
  lowerCamelCase_   					=						dict(_lowerCamelCase			)
  binary_tree_mirror_dict(_lowerCamelCase		,    _lowerCamelCase			)
  return binary_tree_mirror_dictionary


if __name__ == "__main__":
  _SCREAMING_SNAKE_CASE :    Tuple    =						{1: [2, 3], 2: [4, 5], 3: [6, 7], 7: [8, 9]}
  print(F'''Binary tree: {binary_tree}''')
  _SCREAMING_SNAKE_CASE :    Dict    =						binary_tree_mirror(binary_tree, 5)
  print(F'''Binary tree mirror: {binary_tree_mirror_dictionary}''')




