

'''simple docstring'''





import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


UpperCamelCase_							=					namedtuple(
    """_TestCommandArgs""",
    [
        """dataset""",
        """name""",
        """cache_dir""",
        """data_dir""",
        """all_configs""",
        """save_infos""",
        """ignore_verifications""",
        """force_redownload""",
        """clear_cache""",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)






def 							_lowerCAmelCase (      __magic_name__	:    Any      ,   __magic_name__	:    Optional[int]	)							->     Tuple:
						return (abs(source - target	) / target) < 0.0_1







@pytest.mark.integration
def 							_lowerCAmelCase (      __magic_name__	:    List[str]	)							->     int:
						lowercase   :       str								=_TestCommandArgs(dataset=__magic_name__      ,   all_configs=__magic_name__      ,   save_infos=__magic_name__	)
						lowercase   :       Any								=TestCommand(*__magic_name__	)
						test_command.run()
						lowercase   :       Any								=os.path.join(__magic_name__      ,   '''README.md'''	)
						assert os.path.exists(__magic_name__	)
						lowercase   :       List[str]								=DatasetInfosDict.from_directory(__magic_name__	)
						lowercase   :       Tuple								=DatasetInfosDict(
						    {
						        '''default''': DatasetInfo(
						            features=Features(
						                {
						                    '''tokens''': Sequence(Value('''string'''	)	),
						                    '''ner_tags''': Sequence(
						                        ClassLabel(names=['''O''', '''B-PER''', '''I-PER''', '''B-ORG''', '''I-ORG''', '''B-LOC''', '''I-LOC''']	)	),
						                    '''langs''': Sequence(Value('''string'''	)	),
						                    '''spans''': Sequence(Value('''string'''	)	),
						                }	)      ,   splits=[
						                {
						                    '''name''': '''train''',
						                    '''num_bytes''': 2351563,
						                    '''num_examples''': 10000,
						                },
						                {
						                    '''name''': '''validation''',
						                    '''num_bytes''': 238418,
						                    '''num_examples''': 1000,
						                },
						            ]      ,   download_size=3940680      ,   dataset_size=2589981      ,   )
						    }	)
						assert dataset_infos.keys() == expected_dataset_infos.keys()
						for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
												lowercase		,  lowercase   :       int								=getattr(dataset_infos['''default''']      ,   __magic_name__	), getattr(expected_dataset_infos['''default''']      ,   __magic_name__	)
												if key == "num_bytes":
																		assert is_apercent_close(__magic_name__      ,   __magic_name__	)
												elif key == "splits":
																		assert list(__magic_name__	) == list(__magic_name__	)
																		for split in result:
																								assert result[split].name == expected[split].name
																								assert result[split].num_examples == expected[split].num_examples
																								assert is_apercent_close(result[split].num_bytes      ,   expected[split].num_bytes	)
												else:
																		result == expected








'''simple docstring'''





def 							_lowerCAmelCase (      __magic_name__	:    int = 1000000	)							->     int:
						lowercase   :       Dict								=set(range(3      ,   __magic_name__      ,   2	)	)
						primes.add(2	)
						for p in range(3      ,   __magic_name__      ,   2	):
												if p not in primes:
																		continue
												primes.difference_update(set(range(p * p      ,   __magic_name__      ,   __magic_name__	)	)	)

						lowercase   :       List[Any]								=[float(__magic_name__	) for n in range(limit + 1	)]

						for p in primes:
												for n in range(__magic_name__      ,   limit + 1      ,   __magic_name__	):
																		phi[n] *= 1 - 1 / p

						return int(sum(phi[2:]	)	)


if __name__ == "__main__":
							print(f'''{solution() = }''')





