





"""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


lowercase__				: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       lowerCamelCase_       (   UpperCAmelCase_=True  )						->Dict:





  """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 							snake_case							(			__UpperCAmelCase ):

      '''simple docstring'''



      _A     :       int         =       None
      _A     :       str         =       None

      def       A_					(							self       :      List[str]						,				__lowercase       :      Tuple						,				__lowercase       :      Optional[Any] ):


        '''simple docstring'''




        with TemporaryDirectory() as tmp_dir:
          __UpperCAmelCase    :						Union[str, Any]       =						dataset_module_factory(__lowercase						,				cache_dir=__lowercase )

          __UpperCAmelCase    :						Optional[int]       =						import_main_class(dataset_module.module_path						,				dataset=__lowercase )

          __UpperCAmelCase    :						DatasetBuilder       =						builder_cls(
              cache_dir=__lowercase						,				config_name=__lowercase						,				hash=dataset_module.hash						,				)

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


@pytest.mark.integration
def       lowerCamelCase_       (   UpperCAmelCase_  )						->List[str]:





  """simple docstring"""


  __UpperCAmelCase    :						Tuple       =						tmp_path_factory.mktemp('''test_hf_gcp'''  ) / '''test_wikipedia_simple'''
  __UpperCAmelCase    :						Union[str, Any]       =						dataset_module_factory('''wikipedia'''  ,			cache_dir=UpperCAmelCase_  )
  __UpperCAmelCase    :						Dict       =						import_main_class(dataset_module.module_path  )
  __UpperCAmelCase    :						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
  __UpperCAmelCase    :						Tuple       =						None
  builder_instance.download_and_prepare()
  __UpperCAmelCase    :						List[Any]       =						builder_instance.as_dataset()
  assert ds







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





  """simple docstring"""


  __UpperCAmelCase    :						Optional[Any]       =						dataset_module_factory('''wikipedia'''  ,			cache_dir=UpperCAmelCase_  )
  __UpperCAmelCase    :						Any       =						import_main_class(dataset_module.module_path  ,			dataset=UpperCAmelCase_  )
  __UpperCAmelCase    :						DatasetBuilder       =						builder_cls(
      cache_dir=UpperCAmelCase_  ,			config_name='''20220301.frr'''  ,			hash=dataset_module.hash  ,			)
  __UpperCAmelCase    :						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"""





from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

lowercase__				:str				   =       (
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
lowercase__				:list[int]				   =       [ord(letter) for letter in string.ascii_lowercase]
lowercase__				:set[int]				   =       {ord(char) for char in VALID_CHARS}

lowercase__				:list[str]				   =       ["the", "be", "to", "of", "and", "in", "that", "have"]


def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->str | None:





  """simple docstring"""


  __UpperCAmelCase    :						str       =						""
  __UpperCAmelCase    :						int
  __UpperCAmelCase    :						int
  __UpperCAmelCase    :						int

  for keychar, cipherchar in zip(cycle(UpperCAmelCase_  )  ,			UpperCAmelCase_  ):
    __UpperCAmelCase    :						Optional[Any]       =						cipherchar ^ keychar
    if decodedchar not in VALID_INTS:
      return None
    decoded += chr(UpperCAmelCase_  )

  return decoded


def       lowerCamelCase_       (   UpperCAmelCase_  )						->list[str]:





  """simple docstring"""


  __UpperCAmelCase    :						list[str]       =						[]
  for key in product(UpperCAmelCase_  ,			repeat=3  ):
    __UpperCAmelCase    :						List[Any]       =						try_key(UpperCAmelCase_  ,			UpperCAmelCase_  )
    if encoded is not None:
      possibles.append(UpperCAmelCase_  )
  return possibles


def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->list[str]:





  """simple docstring"""


  return [possible for possible in possibles if common_word in possible.lower()]


def       lowerCamelCase_       (   UpperCAmelCase_ = "p059_cipher.txt"  )						->int:





  """simple docstring"""


  __UpperCAmelCase    :						list[int]
  __UpperCAmelCase    :						list[str]
  __UpperCAmelCase    :						str
  __UpperCAmelCase    :						str
  __UpperCAmelCase    :						str       =						Path(UpperCAmelCase_  ).parent.joinpath(UpperCAmelCase_  ).read_text(encoding='''utf-8'''  )

  __UpperCAmelCase    :						List[str]       =						[int(UpperCAmelCase_  ) for number in data.strip().split(''','''  )]

  __UpperCAmelCase    :						List[Any]       =						filter_valid_chars(UpperCAmelCase_  )
  for common_word in COMMON_WORDS:
    __UpperCAmelCase    :						Optional[int]       =						filter_common_word(UpperCAmelCase_  ,			UpperCAmelCase_  )
    if len(UpperCAmelCase_  ) == 1:
      break

  __UpperCAmelCase    :						Optional[Any]       =						possibles[0]
  return sum(ord(UpperCAmelCase_  ) for char in decoded_text  )


if __name__ == "__main__":
  print(f"""{solution() = }""")