





"""simple docstring"""





import os
from tempfile import TemporaryDirectory
from unittest import TestCase

import pytest
from absl.testing import parameterized

from datasets import config
from datasets.arrow_reader import HF_GCP_BASE_URL
from datasets.builder import DatasetBuilder
from datasets.dataset_dict import IterableDatasetDict
from datasets.iterable_dataset import IterableDataset
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.file_utils import cached_path


lowerCAmelCase__     			=			[
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.de'''},
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.en'''},
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.fr'''},
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.frr'''},
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.it'''},
    {'''dataset''': '''wikipedia''', '''config_name''': '''20220301.simple'''},
    {'''dataset''': '''snli''', '''config_name''': '''plain_text'''},
    {'''dataset''': '''eli5''', '''config_name''': '''LFQA_reddit'''},
    {'''dataset''': '''wiki40b''', '''config_name''': '''en'''},
    {'''dataset''': '''wiki_dpr''', '''config_name''': '''psgs_w100.nq.compressed'''},
    {'''dataset''': '''wiki_dpr''', '''config_name''': '''psgs_w100.nq.no_index'''},
    {'''dataset''': '''wiki_dpr''', '''config_name''': '''psgs_w100.multiset.no_index'''},
    {'''dataset''': '''natural_questions''', '''config_name''': '''default'''},
]


def       a__					(					_SCREAMING_SNAKE_CASE=True    ):




		"""simple docstring"""


		if with_config:
				return [
				    {
				        "testcase_name": d["dataset"] + "/" + d["config_name"],
				        "dataset": d["dataset"],
				        "config_name": d["config_name"],
				    }
				    for d in DATASETS_ON_HF_GCP
				]
		else:
				return [
				    {"testcase_name": dataset, "dataset": dataset} for dataset in {d["dataset"] for d in DATASETS_ON_HF_GCP}
				]





@parameterized.named_parameters(list_datasets_on_hf_gcp_parameters(with_config=_lowercase ) )
class        _lowerCamelCase      (       _lowercase ):
						UpperCAmelCase_ =			None
						UpperCAmelCase_ =			None


						def     snake_case_   (self   ,							__a   ,							__a		) ->   List[Any]:
								with TemporaryDirectory() as tmp_dir:
										UpperCamelCase   =	dataset_module_factory(__a   ,							cache_dir=__a		)

										UpperCamelCase   =	import_main_class(dataset_module.module_path   ,							dataset=__a		)

										UpperCamelCase   =	builder_cls(
										    cache_dir=__a   ,							config_name=__a   ,							hash=dataset_module.hash   ,							)

										UpperCamelCase   =	"/".join(
										    [
										        HF_GCP_BASE_URL,
										        builder_instance._relative_data_dir(with_hash=__a		).replace(os.sep   ,							"/"		),
										        config.DATASET_INFO_FILENAME,
										    ]		)
										UpperCamelCase   =	cached_path(__a   ,							cache_dir=__a		)
										self.assertTrue(os.path.exists(__a		)		)



@pytest.mark.integration
def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	tmp_path_factory.mktemp("test_hf_gcp"    ) / "test_wikipedia_simple"
		UpperCamelCase   =	dataset_module_factory("wikipedia"  ,	cache_dir=_SCREAMING_SNAKE_CASE    )
		UpperCamelCase   =	import_main_class(dataset_module.module_path    )
		UpperCamelCase   =	builder_cls(
		    cache_dir=_SCREAMING_SNAKE_CASE  ,	config_name="20220301.frr"  ,	hash=dataset_module.hash  ,	)
		# use the HF cloud storage, not the original download_and_prepare that uses apache-beam
		UpperCamelCase   =	None
		builder_instance.download_and_prepare()
		UpperCamelCase   =	builder_instance.as_dataset()
		assert ds






@pytest.mark.integration
def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	dataset_module_factory("wikipedia"  ,	cache_dir=_SCREAMING_SNAKE_CASE    )
		UpperCamelCase   =	import_main_class(dataset_module.module_path  ,	dataset=_SCREAMING_SNAKE_CASE    )
		UpperCamelCase   =	builder_cls(
		    cache_dir=_SCREAMING_SNAKE_CASE  ,	config_name="20220301.frr"  ,	hash=dataset_module.hash  ,	)
		UpperCamelCase   =	builder_instance.as_streaming_dataset()
		assert ds
		assert isinstance(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE    )
		assert "train" in ds
		assert isinstance(ds["train"]  ,	_SCREAMING_SNAKE_CASE    )
		assert next(iter(ds["train"]    )    )













"""simple docstring"""





def       a__					(					_SCREAMING_SNAKE_CASE    ):




		"""simple docstring"""


		UpperCamelCase   =	0
		for ch in input_str:
				UpperCamelCase   =	ord(_SCREAMING_SNAKE_CASE    )
				UpperCamelCase   =	pow(2  ,	_SCREAMING_SNAKE_CASE    )

				# If we already turned on bit for current character's unicode
				if bitmap >> ch_unicode & 1 == 1:
						return False
				bitmap |= ch_bit_index_on
		return True


if __name__ == "__main__":
						import doctest

						doctest.testmod()






