


'''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


__snake_case    						=[
    {"""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 	a_					( lowerCamelCase	:     Optional[Any]=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=__lowercase		)		)
class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	Union[str, Any]		=     None
     lowerCamelCase				:	Dict		=     None





     def 							__UpperCAmelCase      ( self       :      str    ,      UpperCAmelCase__       :      int    ,      UpperCAmelCase__       :      List[Any]    )				->  int:
        with TemporaryDirectory() as tmp_dir:
           lowerCAmelCase     =			dataset_module_factory(UpperCAmelCase__    ,      cache_dir=UpperCAmelCase__    )

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

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

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





@pytest.mark.integration
def 	a_					( lowerCamelCase	:     Tuple				):
   lowerCAmelCase     =			tmp_path_factory.mktemp('test_hf_gcp'				) / 'test_wikipedia_simple'
   lowerCAmelCase     =			dataset_module_factory('wikipedia'	, cache_dir=lowerCamelCase				)
   lowerCAmelCase     =			import_main_class(dataset_module.module_path				)
   lowerCAmelCase     =			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
   lowerCAmelCase     =			None
   builder_instance.download_and_prepare()
   lowerCAmelCase     =			builder_instance.as_dataset()
   assert ds





@pytest.mark.integration
def 	a_					( lowerCamelCase	:     Optional[int]				):
   lowerCAmelCase     =			dataset_module_factory('wikipedia'	, cache_dir=lowerCamelCase				)
   lowerCAmelCase     =			import_main_class(dataset_module.module_path	, dataset=lowerCamelCase				)
   lowerCAmelCase     =			builder_cls(
       cache_dir=lowerCamelCase	, config_name='20220301.frr'	, hash=dataset_module.hash	, )
   lowerCAmelCase     =			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'''




import os

__snake_case    						={"""I""": 1, """V""": 5, """X""": 10, """L""": 50, """C""": 100, """D""": 500, """M""": 1_000}





def 	a_					( lowerCamelCase	:     str				):
   lowerCAmelCase     =			0

   lowerCAmelCase     =			0
   while index < len(lowerCamelCase				) - 1:
      lowerCAmelCase     =			SYMBOLS[numerals[index]]
      lowerCAmelCase     =			SYMBOLS[numerals[index + 1]]
      if current_value < next_value:
         total_value -= current_value
      else:
         total_value += current_value
      index += 1
   total_value += SYMBOLS[numerals[index]]

   return total_value





def 	a_					( lowerCamelCase	:     int				):
   lowerCAmelCase     =			''

   lowerCAmelCase     =			num // 1000
   numerals += m_count * "M"
   num %= 1000

   lowerCAmelCase     =			num // 100
   if c_count == 9:
      numerals += "CM"
      c_count -= 9
   elif c_count == 4:
      numerals += "CD"
      c_count -= 4
   if c_count >= 5:
      numerals += "D"
      c_count -= 5
   numerals += c_count * "C"
   num %= 100

   lowerCAmelCase     =			num // 10
   if x_count == 9:
      numerals += "XC"
      x_count -= 9
   elif x_count == 4:
      numerals += "XL"
      x_count -= 4
   if x_count >= 5:
      numerals += "L"
      x_count -= 5
   numerals += x_count * "X"
   num %= 10

   if num == 9:
      numerals += "IX"
      num -= 9
   elif num == 4:
      numerals += "IV"
      num -= 4
   if num >= 5:
      numerals += "V"
      num -= 5
   numerals += num * "I"

   return numerals





def 	a_					( lowerCamelCase	:     str = "/p089_roman.txt"				):
   lowerCAmelCase     =			0

   with open(os.path.dirname(lowerCamelCase				) + roman_numerals_filename				) as filea:
      lowerCAmelCase     =			filea.readlines()

   for line in lines:
      lowerCAmelCase     =			line.strip()
      lowerCAmelCase     =			parse_roman_numerals(lowerCamelCase				)
      lowerCAmelCase     =			generate_roman_numerals(lowerCamelCase				)
      savings += len(lowerCamelCase				) - len(lowerCamelCase				)

   return savings


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





