





from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
				from .features import FeatureType






@dataclass
class       __A					:

			'''simple docstring'''







			lowerCAmelCase_							  =		42
			lowerCAmelCase_							  =		None
			# Automatically constructed
			lowerCAmelCase_							  =		"""dict"""
			lowerCAmelCase_							  =		None
			lowerCAmelCase_							  =		field(default="""Translation"""    ,       init=lowerCAmelCase    ,       repr=lowerCAmelCase				)





			def __call__(					self							):



				'''simple docstring'''







				return pa.struct({lang: pa.string() for lang in sorted(self.languages							)}							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				from .features import Value

				return {k: Value('''string'''							) for k in sorted(self.languages							)}






@dataclass
class       __A					:

			'''simple docstring'''







			lowerCAmelCase_							  =		None
			lowerCAmelCase_							  =		None
			lowerCAmelCase_							  =		None
			# Automatically constructed
			lowerCAmelCase_							  =		"""dict"""
			lowerCAmelCase_							  =		None
			lowerCAmelCase_							  =		field(default="""TranslationVariableLanguages"""    ,       init=lowerCAmelCase    ,       repr=lowerCAmelCase				)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	sorted(set(self.languages							)							) if self.languages else None
				lowerCamelCase__              =	len(self.languages							) if self.languages else None





			def __call__(					self							):



				'''simple docstring'''







				return pa.struct({'''language''': pa.list_(pa.string()							), '''translation''': pa.list_(pa.string()							)}							)





			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__              =	set(self.languages							)
				if self.languages and set(__lowerCAmelCase							) - lang_set:
					raise ValueError(
					    F'Some languages in example ({", ".join(sorted(set(__lowerCAmelCase							) - lang_set							)							)}) are not in valid set ({", ".join(__lowerCAmelCase							)}).'							)

				# Convert dictionary into tuples, splitting out cases where there are
				# multiple translations for a single language.
				lowerCamelCase__              =	[]
				for lang, text in translation_dict.items():
					if isinstance(__lowerCAmelCase ,						__lowerCAmelCase							):
						translation_tuples.append((lang, text)							)
					else:
						translation_tuples.extend([(lang, el) for el in text]							)

        # Ensure translations are in ascending order by language code.
				lowerCamelCase__       ,			lowerCamelCase__              =	zip(*sorted(__lowerCAmelCase							)							)

				return {"language": languages, "translation": translations}





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				from .features import Sequence, Value

				return {
				    "language": Sequence(Value('''string'''							)							),
				    "translation": Sequence(Value('''string'''							)							),
				}










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



