





from __future__ import annotations

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

_a						=   (3, 9, -11, 0, 7, 5, 1, -1)
_a						=   (4, 6, 2, 0, 8, 10, 3, -2)






@dataclass
class       __A					:

			'''simple docstring'''







			lowerCAmelCase_							  =		42
			lowerCAmelCase_							  =		42






class       __A					:

			'''simple docstring'''







			def __init__(					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__              =	None
				for i in sorted(__lowerCAmelCase ,						reverse=__lowerCAmelCase							):
					lowerCamelCase__              =	Node(__lowerCAmelCase ,						self.head							)





			def __iter__(					self							):



				'''simple docstring'''







				lowerCamelCase__              =	self.head
				while node:
					yield node.data
					lowerCamelCase__              =	node.next_node





			def __len__(					self							):



				'''simple docstring'''







				return sum(1 for _ in self							)





			def __str__(					self							):



				'''simple docstring'''







				return " -> ".join([str(__lowerCAmelCase							) for node in self]							)





def lowerCAmelCase__(__snake_case ,__snake_case							)       ->   SortedLinkedList:







	'''simple docstring'''







	return SortedLinkedList(list(__snake_case							) + list(__snake_case							)							)


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				_a						=   SortedLinkedList
				print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))










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 lowerCAmelCase__(__snake_case ,__snake_case							)       ->   List[str]:







	'''simple docstring'''







	return (abs(source - target							) / target) < 0.0_1





@pytest.mark.integration
def lowerCAmelCase__(__snake_case							)       ->   Tuple:







	'''simple docstring'''







	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''': 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:
		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



