
"""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


lowercase		:    Any			=       get_logger(__name__)


def      lowerCamelCase_     (						lowerCamelCase_			)  ->      List[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  _snake_case	(    __UpperCAmelCase							):
							SCREAMING_SNAKE_CASE		  =    False  # to tell pytest it's not a test class






							@staticmethod
							def 				__lowercase	(       snake_case__    :      ArgumentParser     ):






												"""simple docstring"""



												__a:    Any		     =       parser.add_parser("""test"""    ,			help="""Test dataset implementation."""     )
												test_parser.add_argument("""--name"""    ,			type=__snake_case    ,			default=__snake_case    ,			help="""Dataset processing name"""     )
												test_parser.add_argument(
												    """--cache_dir"""    ,			type=__snake_case    ,			default=__snake_case    ,			help="""Cache directory where the datasets are stored."""    ,			)
												test_parser.add_argument(
												    """--data_dir"""    ,			type=__snake_case    ,			default=__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=__snake_case    ,			help="""Name of the dataset to download"""     )
												test_parser.set_defaults(func=_test_command_factory     )






							def __init__(       self    :      str    ,			snake_case__    :      str    ,			snake_case__    :      str    ,			snake_case__    :      str    ,			snake_case__    :      str    ,			snake_case__    :      bool    ,			snake_case__    :      bool    ,			snake_case__    :      bool    ,			snake_case__    :      bool    ,			snake_case__    :      bool    ,			):






												"""simple docstring"""



												__a:    Union[str, Any]		     =       dataset
												__a:    Any		     =       name
												__a:    Tuple		     =       cache_dir
												__a:    Dict		     =       data_dir
												__a:    Optional[int]		     =       all_configs
												__a:    Union[str, Any]		     =       save_infos
												__a:    Dict		     =       ignore_verifications
												__a:    int		     =       force_redownload
												__a:    Dict		     =       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:
																	__a:    Tuple		     =       True






							def 				__lowercase	(       self    :      Optional[Any]     ):






												"""simple docstring"""



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

																						# Move dataset_info back to the user
																						if dataset_dir is not None:
																											__a:    Optional[int]		     =       os.path.join(__snake_case    ,			"""README.md"""     )
																											copyfile(__snake_case    ,			__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     )
																						__a:    Union[str, Any]		     =       os.path.join(self._cache_dir    ,			datasets.config.DOWNLOADED_DATASETS_DIR     )
																						if os.path.isdir(__snake_case     ):
																											logger.warning(f"""Clearing cache at {download_dir}"""     )
																											rmtree(__snake_case     )

												print("""Test successful."""     )







'''simple docstring'''






import math
from collections.abc import Generator





def    lowercase_   (		lowercase__    ) ->Generator[int, None, None]:
						_snake_case: Generator	       =		(i for i in range(1					,	(max_n + 1)    ))
						for i in (n for n in numbers if n > 1):
												for j in range(2					,	lowercase__    ):
																		if (i % j) == 0:
																								break
												else:
																		yield i





def    lowercase_   (		lowercase__    ) ->Generator[int, None, None]:
						_snake_case: Generator	       =		(i for i in range(1					,	(max_n + 1)    ))
						for i in (n for n in numbers if n > 1):
												# only need to check for factors up to sqrt(i)
												_snake_case: int	       =		int(math.sqrt(lowercase__    )    ) + 1
												for j in range(2					,	lowercase__    ):
																		if (i % j) == 0:
																								break
												else:
																		yield i





def    lowercase_   (		lowercase__    ) ->Generator[int, None, None]:
						_snake_case: Generator	       =		(i for i in range(1					,	(max_n + 1)					,	2    ))
						# It's useless to test even numbers as they will not be prime
						if max_n > 2:
												yield 2  # Because 2 will not be tested, it's necessary to yield it now
						for i in (n for n in numbers if n > 1):
												_snake_case: List[str]	       =		int(math.sqrt(lowercase__    )    ) + 1
												for j in range(3					,	lowercase__					,	2    ):
																		# As we removed the even numbers, we don't need them now
																		if (i % j) == 0:
																								break
												else:
																		yield i





def    lowercase_   (		) ->Optional[int]:
						from timeit import timeit

						_snake_case: Dict	       =		'from __main__ import slow_primes, primes, fast_primes'
						print(timeit('slow_primes(1_000_000_000_000)'					,	setup=lowercase__					,	number=100_0000    )    )
						print(timeit('primes(1_000_000_000_000)'					,	setup=lowercase__					,	number=100_0000    )    )
						print(timeit('fast_primes(1_000_000_000_000)'					,	setup=lowercase__					,	number=100_0000    )    )


if __name__ == "__main__":
		A :			List[str]							   =      int(input('Calculate primes up to:\n>> ').strip())
		for ret in primes(number):
				print(ret)
		benchmark()





