



"""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


UpperCAmelCase						:		str			= [
    {"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 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase=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=__UpperCAmelCase   )   )
class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase   ):
    lowercase__      =   None
    lowercase__      =   None

    def 					_UpperCAmelCase	(				self			:				Any ,  lowerCAmelCase_			:				Tuple ,  lowerCAmelCase_			:				int):







      """simple docstring"""







      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 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase							) ->						str:







  '''simple docstring'''


  lowercase_								= tmp_path_factory.mktemp("""test_hf_gcp"""							) / """test_wikipedia_simple"""
  lowercase_								= dataset_module_factory("""wikipedia""" ,  cache_dir=__lowerCAmelCase							)
  lowercase_								= import_main_class(dataset_module.module_path							)
  lowercase_								= 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
  lowercase_								= None
  builder_instance.download_and_prepare()
  lowercase_								= builder_instance.as_dataset()
  assert ds


@pytest.mark.integration
def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase							) ->						List[str]:







  '''simple docstring'''


  lowercase_								= dataset_module_factory("""wikipedia""" ,  cache_dir=__lowerCAmelCase							)
  lowercase_								= import_main_class(dataset_module.module_path ,  dataset=__lowerCAmelCase							)
  lowercase_								= builder_cls(
      cache_dir=__lowerCAmelCase ,  config_name="""20220301.frr""" ,  hash=dataset_module.hash ,  )
  lowercase_								= 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"""]							)							)





"""simple docstring"""
def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase							) ->						list[list[int]]:







  '''simple docstring'''


  lowercase_								= []
  if len(__lowerCAmelCase							) == 1:
    return [nums.copy()]
  for _ in range(len(__lowerCAmelCase							)							):
    lowercase_								= nums.pop(0							)
    lowercase_								= permute(__lowerCAmelCase							)
    for perm in permutations:
      perm.append(__lowerCAmelCase							)
    result.extend(__lowerCAmelCase							)
    nums.append(__lowerCAmelCase							)
  return result


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase							) ->						Tuple:







  '''simple docstring'''


  def backtrack(__lowerCAmelCase							):
    if start == len(__lowerCAmelCase							) - 1:
      output.append(nums[:]							)
    else:
      for i in range(__lowerCAmelCase ,  len(__lowerCAmelCase							)							):
        lowercase_					,    lowercase_								= nums[i], nums[start]
        backtrack(start + 1							)
        lowercase_					,    lowercase_								= nums[i], nums[start]  # backtrack

  lowercase_								= []
  backtrack(0							)
  return output


if __name__ == "__main__":
       import doctest

       # use res to print the data in permute2 function
       UpperCAmelCase						:		Optional[Any]			= permutea([1, 2, 3])
       print(res)
       doctest.testmod()

