



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


__SCREAMING_SNAKE_CASE           =  [
    {"""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 	UpperCAmelCase   (						_lowerCamelCase=True    ):
			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 	lowerCamelCase_    ( _A						):






						'''simple docstring'''
						a__   =  None
						a__   =  None







						def 			SCREAMING_SNAKE_CASE__		(	self      :			Optional[int]	,	__lowerCamelCase      :			Union[str, Any]	,	__lowerCamelCase      :			List[Any] )      ->				List[str]:
									with TemporaryDirectory() as tmp_dir:
												A							:					int              =						dataset_module_factory(__lowerCamelCase	,	cache_dir=__lowerCamelCase )

												A							:					Optional[int]              =						import_main_class(dataset_module.module_path	,	dataset=__lowerCamelCase )

												A							:					DatasetBuilder              =						builder_cls(
												    cache_dir=__lowerCamelCase	,	config_name=__lowerCamelCase	,	hash=dataset_module.hash	,	)

												A							:					List[Any]              =						"/".join(
												    [
												        HF_GCP_BASE_URL,
												        builder_instance._relative_data_dir(with_hash=__lowerCamelCase ).replace(os.sep	,	"/" ),
												        config.DATASET_INFO_FILENAME,
												    ] )
												A							:					Dict              =						cached_path(__lowerCamelCase	,	cache_dir=__lowerCamelCase )
												self.assertTrue(os.path.exists(__lowerCamelCase ) )







@pytest.mark.integration
def 	UpperCAmelCase   (						_lowerCamelCase    ):
			A							:					Tuple              =						tmp_path_factory.mktemp("test_hf_gcp"    ) / "test_wikipedia_simple"
			A							:					Union[str, Any]              =						dataset_module_factory("wikipedia" ,    cache_dir=_lowerCamelCase    )
			A							:					Union[str, Any]              =						import_main_class(dataset_module.module_path    )
			A							:					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
			A							:					Dict              =						None
			builder_instance.download_and_prepare()
			A							:					List[Any]              =						builder_instance.as_dataset()
			assert ds






@pytest.mark.integration
def 	UpperCAmelCase   (						_lowerCamelCase    ):
			A							:					Tuple              =						dataset_module_factory("wikipedia" ,    cache_dir=_lowerCamelCase    )
			A							:					List[Any]              =						import_main_class(dataset_module.module_path ,    dataset=_lowerCamelCase    )
			A							:					DatasetBuilder              =						builder_cls(
			    cache_dir=_lowerCamelCase ,    config_name="20220301.frr" ,    hash=dataset_module.hash ,    )
			A							:					Union[str, 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"]    )    )




import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
__SCREAMING_SNAKE_CASE           =  """."""


if __name__ == "__main__":
							__SCREAMING_SNAKE_CASE           =  os.path.join(REPO_PATH, """utils/documentation_tests.txt""")
							__SCREAMING_SNAKE_CASE           =  []
							__SCREAMING_SNAKE_CASE           =  []
							with open(doctest_file_path) as fp:
														for line in fp:
																					__SCREAMING_SNAKE_CASE           =  line.strip()
																					__SCREAMING_SNAKE_CASE           =  os.path.join(REPO_PATH, line)
																					if not (os.path.isfile(path) or os.path.isdir(path)):
																												non_existent_paths.append(line)
																					all_paths.append(path)
							if len(non_existent_paths) > 0:
														__SCREAMING_SNAKE_CASE           =  """\n""".join(non_existent_paths)
														raise ValueError(F"""`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}""")
							if all_paths != sorted(all_paths):
														raise ValueError("""Files in `utils/documentation_tests.txt` are not in alphabetical order.""")