





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


_a 						=      [
    {'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 lowerCAmelCase__(__snake_case=True							)				->      int:







	'''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=UpperCAmelCase__ ) )
class 					__A    (    UpperCAmelCase__ ):

			'''simple docstring'''







			lowerCAmelCase_							     =						None
			lowerCAmelCase_							     =						None





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase							):



				'''simple docstring'''







				with TemporaryDirectory() as tmp_dir:
					lowerCamelCase__								=		dataset_module_factory(snake_case_       ,  cache_dir=snake_case_							)

					lowerCamelCase__								=		import_main_class(dataset_module.module_path       ,  dataset=snake_case_							)

					lowerCamelCase__								=		builder_cls(
					    cache_dir=snake_case_       ,  config_name=snake_case_       ,  hash=dataset_module.hash       ,  )

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





@pytest.mark.integration
def lowerCAmelCase__(__snake_case							)				->      Union[str, Any]:







	'''simple docstring'''







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





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







	'''simple docstring'''







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










"""simple docstring"""




import os





def 						UpperCAmelCase__		(     ):






  """simple docstring"""





  A_  :       Any										=  os.path.join(os.path.dirname(_UpperCAmelCase					) ,					'num.txt'					)
  with open(_UpperCAmelCase					) as file_hand:
    return str(sum(int(_UpperCAmelCase					) for line in file_hand					)					)[:10]


if __name__ == "__main__":
   print(solution())