'''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


__a:			Dict	       =       [
    {"""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	(       UpperCAmelCase=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       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   None
       SCREAMING_SNAKE_CASE 		=   None

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase			)  ->  Optional[int]:
        with TemporaryDirectory() as tmp_dir:
         lowercase__    :   List[Any]						= dataset_module_factory(__lowerCAmelCase     ,       cache_dir=__lowerCAmelCase			)

         lowercase__    :   Dict						= import_main_class(dataset_module.module_path     ,       dataset=__lowerCAmelCase			)

         lowercase__    :   DatasetBuilder						= builder_cls(
             cache_dir=__lowerCAmelCase     ,       config_name=__lowerCAmelCase     ,       hash=dataset_module.hash     ,       )

         lowercase__    :   Dict						= '''/'''.join(
             [
                 HF_GCP_BASE_URL,
                 builder_instance._relative_data_dir(with_hash=__lowerCAmelCase			).replace(os.sep     ,       '''/'''			),
                 config.DATASET_INFO_FILENAME,
             ]			)
         lowercase__    :   Union[str, Any]						= cached_path(__lowerCAmelCase     ,       cache_dir=__lowerCAmelCase			)
         self.assertTrue(os.path.exists(__lowerCAmelCase			)			)


@pytest.mark.integration
def       __UpperCamelCase	(       UpperCAmelCase					):
 lowercase__    :   List[str]						= tmp_path_factory.mktemp('''test_hf_gcp'''					) / '''test_wikipedia_simple'''
 lowercase__    :   int						= dataset_module_factory('''wikipedia'''		,					cache_dir=UpperCAmelCase					)
 lowercase__    :   List[Any]						= import_main_class(dataset_module.module_path					)
 lowercase__    :   DatasetBuilder						= 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
 lowercase__    :   Tuple						= None
 builder_instance.download_and_prepare()
 lowercase__    :   List[str]						= builder_instance.as_dataset()
 assert ds





@pytest.mark.integration
def       __UpperCamelCase	(       UpperCAmelCase					):
 lowercase__    :   Union[str, Any]						= dataset_module_factory('''wikipedia'''		,					cache_dir=UpperCAmelCase					)
 lowercase__    :   str						= import_main_class(dataset_module.module_path		,					dataset=UpperCAmelCase					)
 lowercase__    :   DatasetBuilder						= builder_cls(
     cache_dir=UpperCAmelCase		,					config_name='''20220301.frr'''		,					hash=dataset_module.hash		,					)
 lowercase__    :   int						= 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'''

class       UpperCAmelCase  :





       '''simple docstring'''



       def __init__(						self			)  ->  List[str]:
        lowercase__    :   Dict						= {}

       def _lowerCAmelCase(						self			)  ->  None:
        print(self.vertex			)
        for i in self.vertex:
         print(__lowerCAmelCase     ,       ''' -> '''     ,       ''' -> '''.join([str(__lowerCAmelCase			) for j in self.vertex[i]]			)			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase			)  ->  None:
        # check if vertex is already present,
        if from_vertex in self.vertex:
         self.vertex[from_vertex].append(__lowerCAmelCase			)
        else:
         # else make a new vertex
         lowercase__    :   Union[str, Any]						= [to_vertex]

       def _lowerCAmelCase(						self			)  ->  None:
        # visited array for storing already visited nodes
        lowercase__    :   str						= [False] * len(self.vertex			)

        # call the recursive helper function
        for i in range(len(self.vertex			)			):
         if not visited[i]:
          self.dfs_recursive(__lowerCAmelCase     ,       __lowerCAmelCase			)


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase			)  ->  None:
        # mark start vertex as visited
        lowercase__    :   List[str]						= True

        print(__lowerCAmelCase     ,       end=''' '''			)

        # Recur for all the vertices that are adjacent to this node
        for i in self.vertex:
         if not visited[i]:
          self.dfs_recursive(__lowerCAmelCase     ,       __lowerCAmelCase			)


if __name__ == "__main__":
  __a:			Optional[Any]	       =       Graph()
  g.add_edge(0, 1)
  g.add_edge(0, 2)
  g.add_edge(1, 2)
  g.add_edge(2, 0)
  g.add_edge(2, 3)
  g.add_edge(3, 3)

  g.print_graph()
  print("""DFS:""")
  g.dfs()

  # OUTPUT:
  # 0  ->  1 -> 2
  # 1  ->  2
  # 2  ->  0 -> 3
  # 3  ->  3
  # DFS:
  #  0 1 2 3

