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


A_      =      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        __UpperCAmelCase    (       UpperCAmelCase,		UpperCAmelCase       )->       Tuple:



			"""simple docstring"""







			return (abs(source - target       ) / target) < 0.01






@pytest.mark.integration
def        __UpperCAmelCase    (       UpperCAmelCase       )->       Optional[int]:



			"""simple docstring"""







			lowercase							=		_TestCommandArgs(dataset=UpperCAmelCase,		all_configs=UpperCAmelCase,		save_infos=UpperCAmelCase       )
			lowercase							=		TestCommand(*UpperCAmelCase       )
			test_command.run()
			lowercase							=		os.path.join(UpperCAmelCase,		'''README.md'''       )
			assert os.path.exists(UpperCAmelCase       )
			lowercase							=		DatasetInfosDict.from_directory(UpperCAmelCase       )
			lowercase							=		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							=		getattr(dataset_infos['''default'''],		UpperCAmelCase       ), getattr(expected_dataset_infos['''default'''],		UpperCAmelCase       )
						if key == "num_bytes":
									assert is_apercent_close(UpperCAmelCase,		UpperCAmelCase       )
						elif key == "splits":
									assert list(UpperCAmelCase       ) == list(UpperCAmelCase       )
									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






import cmath
import math






def        __UpperCAmelCase    (       UpperCAmelCase,		UpperCAmelCase,		UpperCAmelCase,		UpperCAmelCase       )->       complex:



			"""simple docstring"""







			lowercase							=		math.radians(UpperCAmelCase       )
			lowercase							=		math.radians(UpperCAmelCase       )

			# Convert voltage and current to rectangular form
			lowercase							=		cmath.rect(UpperCAmelCase,		UpperCAmelCase       )
			lowercase							=		cmath.rect(UpperCAmelCase,		UpperCAmelCase       )

			# Calculate apparent power
			return voltage_rect * current_rect


if __name__ == "__main__":
						import doctest

						doctest.testmod()





