



import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


__snake_case						:List[Any]      		=     pytest.mark.integration





@pytest.mark.parametrize('''path'''   , ['''paws''', '''csv''']				)
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase				):
    inspect_dataset(_lowerCAmelCase   , _lowerCAmelCase				)
    __a						       =				path + '''.py'''
    assert script_name in os.listdir(_lowerCAmelCase				)
    assert "__pycache__" not in os.listdir(_lowerCAmelCase				)





@pytest.mark.filterwarnings('''ignore:inspect_metric is deprecated:FutureWarning'''				)
@pytest.mark.filterwarnings('''ignore:metric_module_factory is deprecated:FutureWarning'''				)
@pytest.mark.parametrize('''path'''   , ['''accuracy''']				)
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase				):
    inspect_metric(_lowerCAmelCase   , _lowerCAmelCase				)
    __a						       =				path + '''.py'''
    assert script_name in os.listdir(_lowerCAmelCase				)
    assert "__pycache__" not in os.listdir(_lowerCAmelCase				)





@pytest.mark.parametrize(
    '''path, config_name, expected_splits'''   , [
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]   , )
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				get_dataset_config_info(_lowerCAmelCase   , config_name=_lowerCAmelCase				)
    assert info.config_name == config_name
    assert list(info.splits.keys()				) == expected_splits





@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''   , [
        ('''paws''', None, ValueError),
    ]   , )
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    with pytest.raises(_lowerCAmelCase				):
        get_dataset_config_info(_lowerCAmelCase   , config_name=_lowerCAmelCase				)





@pytest.mark.parametrize(
    '''path, expected'''   , [
        ('''squad''', '''plain_text'''),
        ('''acronym_identification''', '''default'''),
        ('''lhoestq/squad''', '''plain_text'''),
        ('''lhoestq/test''', '''default'''),
        ('''lhoestq/demo1''', '''lhoestq--demo1'''),
        ('''dalle-mini/wit''', '''dalle-mini--wit'''),
    ]   , )
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				get_dataset_config_names(_lowerCAmelCase				)
    assert expected in config_names





@pytest.mark.parametrize(
    '''path, expected_configs, expected_splits_in_first_config'''   , [
        ('''squad''', ['''plain_text'''], ['''train''', '''validation''']),
        ('''dalle-mini/wit''', ['''dalle-mini--wit'''], ['''train''']),
        ('''paws''', ['''labeled_final''', '''labeled_swap''', '''unlabeled_final'''], ['''train''', '''test''', '''validation''']),
    ]   , )
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				get_dataset_infos(_lowerCAmelCase				)
    assert list(infos.keys()				) == expected_configs
    __a						       =				expected_configs[0]
    assert expected_config in infos
    __a						       =				infos[expected_config]
    assert info.config_name == expected_config
    assert list(info.splits.keys()				) == expected_splits_in_first_config





@pytest.mark.parametrize(
    '''path, expected_config, expected_splits'''   , [
        ('''squad''', '''plain_text''', ['''train''', '''validation''']),
        ('''dalle-mini/wit''', '''dalle-mini--wit''', ['''train''']),
        ('''paws''', '''labeled_final''', ['''train''', '''test''', '''validation''']),
    ]   , )
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				get_dataset_infos(_lowerCAmelCase				)
    assert expected_config in infos
    __a						       =				infos[expected_config]
    assert info.config_name == expected_config
    assert list(info.splits.keys()				) == expected_splits





@pytest.mark.parametrize(
    '''path, config_name, expected_exception'''   , [
        ('''paws''', None, ValueError),
    ]   , )
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    with pytest.raises(_lowerCAmelCase				):
        get_dataset_split_names(_lowerCAmelCase   , config_name=_lowerCAmelCase				)










'''simple docstring'''






import random

from .binary_exp_mod import bin_exp_mod


def  snake_case_     (					_lowerCAmelCase  :						Tuple   ,      _lowerCAmelCase  :						Optional[Any]=1000  )      ->   int:
							if n < 2:
														return False

							if n % 2 == 0:
														return n == 2

							# this means n is odd
							UpperCAmelCase :       str 							=		n - 1
							UpperCAmelCase :       List[Any] 							=		0
							while d % 2 == 0:
														d /= 2
														exp += 1

							# n - 1=d*(2**exp)
							UpperCAmelCase :       List[str] 							=		0
							while count < prec:
														UpperCAmelCase :       int 							=		random.randint(2   ,      n - 1  )
														UpperCAmelCase :       List[str] 							=		bin_exp_mod(_lowerCAmelCase   ,      _lowerCAmelCase   ,      _lowerCAmelCase  )
														if b != 1:
																					UpperCAmelCase :       int 							=		True
																					for _ in range(_lowerCAmelCase  ):
																												if b == n - 1:
																																			UpperCAmelCase :       Dict 							=		False
																																			break
																												UpperCAmelCase :       str 							=		b * b
																												b %= n
																					if flag:
																												return False
																					count += 1
							return True


if __name__ == "__main__":
						UpperCamelCase__:   Optional[int]								=			abs(int(input("Enter bound : ").strip()))
						print("Here's the list of primes:")
						print(", ".join(str(i) for i in range(n + 1) if is_prime_big(i)))





