


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        _lowerCamelCase(	lowercase__=True	)						->	Any:

		'''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_ ):
							UpperCamelCase_   :							Optional[int]       =None
							UpperCamelCase_   :							str       =None


							def 			_A       (self      ,				lowerCAmelCase      ,				lowerCAmelCase					):
									with TemporaryDirectory() as tmp_dir:
											__lowercase=			dataset_module_factory(lowerCAmelCase      ,				cache_dir=lowerCAmelCase					)

											__lowercase=			import_main_class(dataset_module.module_path      ,				dataset=lowerCAmelCase					)

											__lowercase=			builder_cls(
											    cache_dir=lowerCAmelCase      ,				config_name=lowerCAmelCase      ,				hash=dataset_module.hash      ,				)

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







@pytest.mark.integration
def        _lowerCamelCase(	lowercase__	)						->	Optional[Any]:

		'''simple docstring'''







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







@pytest.mark.integration
def        _lowerCamelCase(	lowercase__	)						->	Any:

		'''simple docstring'''







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










def        _lowerCamelCase(	lowercase__   , lowercase__   , lowercase__   , lowercase__	)						->	Union[str, Any]:

		'''simple docstring'''







		__lowercase=			[False] * len(lowercase__	)
		__lowercase=			[]
		queue.append(lowercase__	)
		__lowercase=			True

		while queue:
				__lowercase=			queue.pop(0	)
				for ind in range(len(graph[u]	)	):
						if visited[ind] is False and graph[u][ind] > 0:
								queue.append(lowercase__	)
								__lowercase=			True
								__lowercase=			u

		return visited[t]







def        _lowerCamelCase(	lowercase__   , lowercase__   , lowercase__	)						->	int:

		'''simple docstring'''







		__lowercase=			[-1] * (len(lowercase__	))
		__lowercase=			0
		while bfs(lowercase__   , lowercase__   , lowercase__   , lowercase__	):
				__lowercase=			float('Inf'	)
				__lowercase=			sink

				while s != source:
						# Find the minimum value in select path
						__lowercase=			min(lowercase__   , graph[parent[s]][s]	)
						__lowercase=			parent[s]

				max_flow += path_flow
				__lowercase=			sink

				while v != source:
						__lowercase=			parent[v]
						graph[u][v] -= path_flow
						graph[v][u] += path_flow
						__lowercase=			parent[v]
		return max_flow


lowerCAmelCase           =		[
    [0, 1_6, 1_3, 0, 0, 0],
    [0, 0, 1_0, 1_2, 0, 0],
    [0, 4, 0, 0, 1_4, 0],
    [0, 0, 9, 0, 0, 2_0],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

lowerCAmelCase       ,lowerCAmelCase           =		0, 5
print(ford_fulkerson(graph, source, sink))






