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


_lowercase:	Optional[Any]       			=		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  (		snake_case     , snake_case  ):
							return (abs(source - target  ) / target) < 0.01






@pytest.mark.integration
def _lowerCamelCase  (		snake_case  ):
							_lowerCAmelCase							=							_TestCommandArgs(dataset=snake_case     , all_configs=snake_case     , save_infos=snake_case  )
							_lowerCAmelCase							=							TestCommand(*snake_case  )
							test_command.run()
							_lowerCAmelCase							=							os.path.join(snake_case     , 'README.md'  )
							assert os.path.exists(snake_case  )
							_lowerCAmelCase							=							DatasetInfosDict.from_directory(snake_case  )
							_lowerCAmelCase							=							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_351_563,
							                    'num_examples': 10_000,
							                },
							                {
							                    'name': 'validation',
							                    'num_bytes': 238_418,
							                    'num_examples': 1_000,
							                },
							            ]     , download_size=3_940_680     , dataset_size=2_589_981     , )
							    }  )
							assert dataset_infos.keys() == expected_dataset_infos.keys()
							for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
														_lowerCAmelCase			,		_lowerCAmelCase							=							getattr(dataset_infos['default']     , snake_case  ), getattr(expected_dataset_infos['default']     , snake_case  )
														if key == "num_bytes":
																					assert is_apercent_close(snake_case     , snake_case  )
														elif key == "splits":
																					assert list(snake_case  ) == list(snake_case  )
																					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







def _lowerCamelCase  (		snake_case  ):
							assert (
							    isinstance(snake_case     , snake_case  ) and number_of_steps > 0
							), F'number_of_steps needs to be positive integer, your input {number_of_steps}'
							if number_of_steps == 1:
														return 1
							_lowerCAmelCase			,		_lowerCAmelCase							=							1, 1
							for _ in range(number_of_steps - 1  ):
														_lowerCAmelCase			,		_lowerCAmelCase							=							current + previous, current
							return current


if __name__ == "__main__":
				import doctest

				doctest.testmod()






