'''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_     :						Any    							=[
    {'''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 snake_case_      (					__snake_case  :							Dict=True)			->					Dict:
   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		):
  __A :				int											= None
  __A :				str											= None





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase    ,     _lowerCamelCase ):
     with TemporaryDirectory() as tmp_dir:
        lowerCAmelCase_			=      dataset_module_factory(_lowerCamelCase    ,     cache_dir=_lowerCamelCase )

        lowerCAmelCase_			=      import_main_class(dataset_module.module_path    ,     dataset=_lowerCamelCase )

        lowerCAmelCase_			=      builder_cls(
            cache_dir=_lowerCamelCase    ,     config_name=_lowerCamelCase    ,     hash=dataset_module.hash    ,     )

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






@pytest.mark.integration
def snake_case_      (					__snake_case  :							Tuple)			->					Dict:
   lowerCAmelCase_			=      tmp_path_factory.mktemp('''test_hf_gcp''') / '''test_wikipedia_simple'''
   lowerCAmelCase_			=      dataset_module_factory('''wikipedia'''	,   cache_dir=__snake_case)
   lowerCAmelCase_			=      import_main_class(dataset_module.module_path)
   lowerCAmelCase_			=      builder_cls(
       cache_dir=__snake_case	,   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 snake_case_      (					__snake_case  :							Dict)			->					List[str]:
   lowerCAmelCase_			=      dataset_module_factory('''wikipedia'''	,   cache_dir=__snake_case)
   lowerCAmelCase_			=      import_main_class(dataset_module.module_path	,   dataset=__snake_case)
   lowerCAmelCase_			=      builder_cls(
       cache_dir=__snake_case	,   config_name='''20220301.frr'''	,   hash=dataset_module.hash	,   )
   lowerCAmelCase_			=      builder_instance.as_streaming_dataset()
   assert ds
   assert isinstance(__snake_case	,   __snake_case)
   assert "train" in ds
   assert isinstance(ds['''train''']	,   __snake_case)
   assert next(iter(ds['''train''']))






'''simple docstring'''

import math
import sys



def snake_case_      (					__snake_case  :							str)			->					str:
   lowerCAmelCase_			=      ''''''
   try:
      with open(__snake_case	,   '''rb''') as binary_file:
         lowerCAmelCase_			=      binary_file.read()
      for dat in data:
         lowerCAmelCase_			=      F'''{dat:08b}'''
         result += curr_byte
      return result
   except OSError:
      print('''File not accessible''')
      sys.exit()



def snake_case_      (					__snake_case  :							str)			->					str:
   lowerCAmelCase_			=      {'''0''': '''0''', '''1''': '''1'''}
   lowerCAmelCase_	,lowerCAmelCase_			=      '''''', ''''''
   lowerCAmelCase_			=      len(__snake_case)

   for i in range(len(__snake_case)):
      curr_string += data_bits[i]
      if curr_string not in lexicon:
         continue

      lowerCAmelCase_			=      lexicon[curr_string]
      result += last_match_id
      lowerCAmelCase_			=      last_match_id + '''0'''

      if math.loga(__snake_case).is_integer():
         lowerCAmelCase_			=      {}
         for curr_key in list(__snake_case):
            lowerCAmelCase_			=      lexicon.pop(__snake_case)
         lowerCAmelCase_			=      new_lex

      lowerCAmelCase_			=      last_match_id + '''1'''
      index += 1
      lowerCAmelCase_			=      ''''''
   return result



def snake_case_      (					__snake_case  :							str	,   __snake_case  :							str)			->					None:
   lowerCAmelCase_			=      8
   try:
      with open(__snake_case	,   '''wb''') as opened_file:
         lowerCAmelCase_			=      [
             to_write[i : i + byte_length]
             for i in range(0	,   len(__snake_case)	,   __snake_case)
         ]

         if len(result_byte_array[-1]) % byte_length == 0:
            result_byte_array.append('''10000000''')
         else:
            result_byte_array[-1] += "1" + "0" * (
                byte_length - len(result_byte_array[-1]) - 1
            )

         for elem in result_byte_array[:-1]:
            opened_file.write(int(__snake_case	,   2).to_bytes(1	,   byteorder='''big'''))
   except OSError:
      print('''File not accessible''')
      sys.exit()



def snake_case_      (					__snake_case  :							str)			->					str:
   lowerCAmelCase_			=      0
   for letter in data_bits:
      if letter == "1":
         break
      counter += 1

   lowerCAmelCase_			=      data_bits[counter:]
   lowerCAmelCase_			=      data_bits[counter + 1 :]
   return data_bits



def snake_case_      (					__snake_case  :							str	,   __snake_case  :							str)			->					None:
   lowerCAmelCase_			=      read_file_binary(__snake_case)
   lowerCAmelCase_			=      remove_prefix(__snake_case)
   lowerCAmelCase_			=      decompress_data(__snake_case)
   write_file_binary(__snake_case	,   __snake_case)


if __name__ == "__main__":
 compress(sys.argv[1], sys.argv[2])





