"""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


_a  :  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 						__UpperCAmelCase       (					UpperCAmelCase_					:       Optional[Any]    ,							UpperCAmelCase_					:       Tuple						)							->    List[Any]:

	'''simple docstring'''





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

@pytest.mark.integration
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       int						)							->    int:

	'''simple docstring'''





	__snake_case    :							Any   	=				_TestCommandArgs(dataset=UpperCAmelCase_    ,							all_configs=UpperCAmelCase_    ,							save_infos=UpperCAmelCase_						)
	__snake_case    :							str   	=				TestCommand(*UpperCAmelCase_						)
	test_command.run()
	__snake_case    :							Union[str, Any]   	=				os.path.join(UpperCAmelCase_    ,							'README.md'						)
	assert os.path.exists(UpperCAmelCase_						)
	__snake_case    :							List[str]   	=				DatasetInfosDict.from_directory(UpperCAmelCase_						)
	__snake_case    :							Dict   	=				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:
		__snake_case	,       __snake_case    :							int   	=				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






"""simple docstring"""







from abc import ABC, abstractmethod
from argparse import ArgumentParser

class 	UpperCamelCase    (					lowercase		):



				@staticmethod
				@abstractmethod
				def       _lowercase  (_A       :   ArgumentParser)					->			Tuple:
					raise NotImplementedError()






				@abstractmethod
				def       _lowercase  (self       :   Any)					->			Optional[Any]:
					raise NotImplementedError()





