

"""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  :      int							      =		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   __SCREAMING_SNAKE_CASE  (      A_						,     A_ ):
	return (abs(source - target ) / target) < 0.01





@pytest.mark.integration
def   __SCREAMING_SNAKE_CASE  (      A_ ):
	lowerCAmelCase__	:						Tuple  				=	_TestCommandArgs(dataset=A_						,     all_configs=A_						,     save_infos=A_ )
	lowerCAmelCase__	:						str  				=	TestCommand(*A_ )
	test_command.run()
	lowerCAmelCase__	:						Any  				=	os.path.join(A_						,     '''README.md''' )
	assert os.path.exists(A_ )
	lowerCAmelCase__	:						Optional[int]  				=	DatasetInfosDict.from_directory(A_ )
	lowerCAmelCase__	:						List[Any]  				=	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''': 2_35_15_63,
	                    '''num_examples''': 1_00_00,
	                },
	                {
	                    '''name''': '''validation''',
	                    '''num_bytes''': 23_84_18,
	                    '''num_examples''': 10_00,
	                },
	            ]						,     download_size=3_94_06_80						,     dataset_size=2_58_99_81						,     )
	    } )
	assert dataset_infos.keys() == expected_dataset_infos.keys()
	for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
		lowerCAmelCase__				,lowerCAmelCase__	:						List[str]  				=	getattr(dataset_infos['''default''']						,     A_ ), getattr(expected_dataset_infos['''default''']						,     A_ )
		if key == "num_bytes":
			assert is_apercent_close(A_						,     A_ )
		elif key == "splits":
			assert list(A_ ) == list(A_ )
			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   __SCREAMING_SNAKE_CASE  (      A_						,     A_ ):
	return numa ^ numa < 0


if __name__ == "__main__":
							import doctest

							doctest.testmod()




