




'''simple docstring'''



from __future__ import annotations

from random import randrange







def      _UpperCamelCase	(_lowerCamelCase							:       list		)->				list:




     '''simple docstring'''





     if len(_lowerCamelCase		) < 2:
          return collection
     __snake_case         =					randrange(len(_lowerCamelCase		)		)  # Use random element as pivot
     __snake_case         =					collection[pivot_index]
     __snake_case         =					[]  # All elements greater than pivot
     __snake_case         =					[]  # All elements less than or equal to pivot

     for element in collection[:pivot_index]:
          (greater if element > pivot else lesser).append(_lowerCamelCase		)

     for element in collection[pivot_index + 1 :]:
          (greater if element > pivot else lesser).append(_lowerCamelCase		)

     return [*quick_sort(_lowerCamelCase		), pivot, *quick_sort(_lowerCamelCase		)]


if __name__ == "__main__":
     UpperCAmelCase_    :					List[Any]					      =						input('''Enter numbers separated by a comma:\n''').strip()
     UpperCAmelCase_    :					Optional[int]					      =						[int(item) for item in user_input.split(''',''')]
     print(quick_sort(unsorted))












'''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


UpperCAmelCase_    :					Optional[Any]					      =						get_logger(__name__)







def      _UpperCamelCase	(_lowerCamelCase							:       Dict		)->				Tuple:




     '''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       lowerCAmelCase				(	__lowerCAmelCase):
       __lowercase					: int	    =     False  # to tell pytest it's not a test class


       @staticmethod
       def  lowerCAmelCase (				__SCREAMING_SNAKE_CASE					) ->					Optional[int]:



            '''simple docstring'''




            __snake_case         =					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      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					) ->					Any:



            '''simple docstring'''




            __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  lowerCAmelCase (				self					) ->					Dict:



            '''simple docstring'''




            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					)
            __snake_case   ,      __snake_case         =					self._dataset, self._name
            __snake_case         =					dataset_module_factory(__SCREAMING_SNAKE_CASE					)
            __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=__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})'''					)
                 __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=__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:
                      __snake_case         =					os.path.join(builder_cls.get_imported_module_dir()      ,					'''README.md'''					)
                      __snake_case         =					Path(__SCREAMING_SNAKE_CASE					).name + '''.py'''
                      __snake_case         =					os.path.join(__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE					)
                      if os.path.isfile(__SCREAMING_SNAKE_CASE					):
                           __snake_case         =					os.path.dirname(__SCREAMING_SNAKE_CASE					)
                      elif os.path.isfile(__SCREAMING_SNAKE_CASE					):
                           __snake_case         =					path
                      elif os.path.isdir(__SCREAMING_SNAKE_CASE					):  # 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(__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					)
                      __snake_case         =					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.'''					)






