

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


__A     						=      get_logger(__name__)



def  snake_case_(_UpperCamelCase	)				->      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     lowercase_       (    __lowercase	):
      UpperCamelCase_     :						int		 =							False  # to tell pytest it's not a test class



      @staticmethod
      def 		UpperCamelCase_						(     A__ :							ArgumentParser						)       ->	Optional[Any]:
        _snake_case		=				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 :							List[Any]     ,   A__ :							str     ,   A__ :							str     ,   A__ :							str     ,   A__ :							str     ,   A__ :							bool     ,   A__ :							bool     ,   A__ :							bool     ,   A__ :							bool     ,   A__ :							bool     ,   )       ->	int:
        _snake_case		=				dataset
        _snake_case		=				name
        _snake_case		=				cache_dir
        _snake_case		=				data_dir
        _snake_case		=				all_configs
        _snake_case		=				save_infos
        _snake_case		=				ignore_verifications
        _snake_case		=				force_redownload
        _snake_case		=				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:
          _snake_case		=				True







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

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




from __future__ import annotations

from collections import Counter



def  snake_case_(_UpperCamelCase	)				->      list[int]:



  """simple docstring"""






  _snake_case		=				[True] * n
  _snake_case		=				False
  _snake_case		=				False
  _snake_case		=				True

  for i in range(3					,			int(n**0.5 + 1	)					,			2	):
    _snake_case		=				i * 2
    while index < n:
      _snake_case		=				False
      _snake_case		=				index + i

  _snake_case		=				[2]

  for i in range(3					,			_UpperCamelCase					,			2	):
    if is_prime[i]:
      primes.append(_UpperCamelCase	)

  return primes



def  snake_case_(_UpperCamelCase	)				->      list[list[int]]:



  """simple docstring"""






  _snake_case		=				str(_UpperCamelCase	)
  _snake_case		=				[]
  _snake_case		=				['''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''']

  for duplicate in Counter(_UpperCamelCase	) - Counter(set(_UpperCamelCase	)	):
    _snake_case		=				[int(number_str.replace(_UpperCamelCase					,			_UpperCamelCase	)	) for digit in digits]
    replacements.append(_UpperCamelCase	)

  return replacements



def  snake_case_(_UpperCamelCase = 8	)				->      int:



  """simple docstring"""






  _snake_case		=				set()

  # Filter primes with less than 3 replaceable digits
  _snake_case		=				{
      x for x in set(prime_sieve(1_000_000	)	) if len(str(_UpperCamelCase	)	) - len(set(str(_UpperCamelCase	)	)	) >= 3
  }

  for prime in primes:
    if prime in numbers_checked:
      continue

    _snake_case		=				digit_replacements(_UpperCamelCase	)

    for family in replacements:
      numbers_checked.update(_UpperCamelCase	)
      _snake_case		=				primes.intersection(_UpperCamelCase	)

      if len(_UpperCamelCase	) != family_length:
        continue

      return min(_UpperCamelCase	)

  return -1


if __name__ == "__main__":
 print(solution())

