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					:	Union[str, Any]       =  [
    {'''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       _snake_case	(   lowerCAmelCase							:   Any=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=A__					)					)
class 		a__						(					A__					):
					A	       =							None
					A	       =							None

					def 				__UpperCamelCase   (    self      :       Optional[int],_A      :       List[Any],_A      :       List[str]    ):







							"""simple docstring"""






							with TemporaryDirectory() as tmp_dir:
									SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    dataset_module_factory(_A,cache_dir=_A    )

									SCREAMING_SNAKE_CASE_  :		List[Any]				      =    import_main_class(dataset_module.module_path,dataset=_A    )

									SCREAMING_SNAKE_CASE_  :		DatasetBuilder				      =    builder_cls(
									    cache_dir=_A,config_name=_A,hash=dataset_module.hash,)

									SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    "/".join(
									    [
									        HF_GCP_BASE_URL,
									        builder_instance._relative_data_dir(with_hash=_A    ).replace(os.sep,"/"    ),
									        config.DATASET_INFO_FILENAME,
									    ]    )
									SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    cached_path(_A,cache_dir=_A    )
									self.assertTrue(os.path.exists(_A    )    )







@pytest.mark.integration
def       _snake_case	(   lowerCAmelCase							:   Optional[int]	):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		int				      =    tmp_path_factory.mktemp("test_hf_gcp"	) / "test_wikipedia_simple"
		SCREAMING_SNAKE_CASE_  :		List[str]				      =    dataset_module_factory("wikipedia"   , cache_dir=lowerCAmelCase	)
		SCREAMING_SNAKE_CASE_  :		int				      =    import_main_class(dataset_module.module_path	)
		SCREAMING_SNAKE_CASE_  :		DatasetBuilder				      =    builder_cls(
		    cache_dir=lowerCAmelCase   , config_name="20220301.frr"   , hash=dataset_module.hash   , )
		# use the HF cloud storage, not the original download_and_prepare that uses apache-beam
		SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    None
		builder_instance.download_and_prepare()
		SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    builder_instance.as_dataset()
		assert ds







@pytest.mark.integration
def       _snake_case	(   lowerCAmelCase							:   List[str]	):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    dataset_module_factory("wikipedia"   , cache_dir=lowerCAmelCase	)
		SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    import_main_class(dataset_module.module_path   , dataset=lowerCAmelCase	)
		SCREAMING_SNAKE_CASE_  :		DatasetBuilder				      =    builder_cls(
		    cache_dir=lowerCAmelCase   , config_name="20220301.frr"   , hash=dataset_module.hash   , )
		SCREAMING_SNAKE_CASE_  :		List[Any]				      =    builder_instance.as_streaming_dataset()
		assert ds
		assert isinstance(lowerCAmelCase   , lowerCAmelCase	)
		assert "train" in ds
		assert isinstance(ds["train"]   , lowerCAmelCase	)
		assert next(iter(ds["train"]	)	)

def       _snake_case	(   lowerCAmelCase							:   int   , lowerCAmelCase							:   int	):
		"""simple docstring"""







		while b:
				SCREAMING_SNAKE_CASE_      ,    SCREAMING_SNAKE_CASE_  :		int				      =    b, a % b
		return a




def       _snake_case	(   lowerCAmelCase							:   int   , lowerCAmelCase							:   int	):
		"""simple docstring"""







		return a if b == 0 else euclidean_gcd_recursive(lowerCAmelCase   , a % b	)




def       _snake_case	(   ):
		"""simple docstring"""







		print(f'euclidean_gcd(3, 5) = {euclidean_gcd(3   , 5	)}'	)
		print(f'euclidean_gcd(5, 3) = {euclidean_gcd(5   , 3	)}'	)
		print(f'euclidean_gcd(1, 3) = {euclidean_gcd(1   , 3	)}'	)
		print(f'euclidean_gcd(3, 6) = {euclidean_gcd(3   , 6	)}'	)
		print(f'euclidean_gcd(6, 3) = {euclidean_gcd(6   , 3	)}'	)

		print(f'euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3   , 5	)}'	)
		print(f'euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5   , 3	)}'	)
		print(f'euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1   , 3	)}'	)
		print(f'euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3   , 6	)}'	)
		print(f'euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6   , 3	)}'	)


if __name__ == "__main__":
		main()
