"""simple docstring"""




import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


_a				:		int	   =       '__DUMMY_TRANSFORMERS_USER__'
_a				:		List[Any]	   =       'Dummy User'
_a				:		str	   =       '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'

_a				:		Optional[Any]	   =       'https://hub-ci.huggingface.co'
_a				:		Tuple	   =       CI_HUB_ENDPOINT + '/datasets/{repo_id}/resolve/{revision}/{path}'
_a				:		Any	   =       CI_HUB_ENDPOINT + '/{repo_id}/resolve/{revision}/{filename}'
_a				:		Tuple	   =       Path('~/.huggingface/hub_ci_token').expanduser()





@pytest.fixture
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	Optional[Any]     )	->				Union[str, Any]:
  monkeypatch.setattr(
      """huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"""      ,_lowerCamelCase     )





@pytest.fixture
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	Union[str, Any]     )	->				Tuple:
  monkeypatch.setattr("""datasets.config.HF_ENDPOINT"""      ,_lowerCamelCase     )
  monkeypatch.setattr("""datasets.config.HUB_DATASETS_URL"""      ,_lowerCamelCase     )





@pytest.fixture
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	Optional[Any]     )	->				Optional[int]:
  monkeypatch.setattr("""huggingface_hub.hf_api.HfFolder.path_token"""      ,_lowerCamelCase     )





@pytest.fixture
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	Any      ,_lowerCamelCase						:	str     )	->				Optional[int]:
  HfFolder.save_token(_lowerCamelCase     )
  yield
  HfFolder.delete_token()





@pytest.fixture(scope="""session"""     )
def 							SCREAMING_SNAKE_CASE					(      )	->				Any:
  return HfApi(endpoint=_lowerCamelCase     )





@pytest.fixture(scope="""session"""     )
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	HfApi     )	->				Optional[int]:
  _lowerCAmelCase						:	int        =					HfFolder.get_token()
  HfFolder.save_token(_lowerCamelCase     )
  yield CI_HUB_USER_TOKEN
  if previous_token is not None:
    HfFolder.save_token(_lowerCamelCase     )





@pytest.fixture
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	Optional[int]     )	->				Any:
  def _cleanup_repo(_lowerCamelCase						:	Tuple     ):
    hf_api.delete_repo(_lowerCamelCase      ,token=_lowerCamelCase      ,repo_type="""dataset"""     )

  return _cleanup_repo





@pytest.fixture
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	Optional[int]     )	->				Union[str, Any]:
  @contextmanager
  def _temporary_repo(_lowerCamelCase						:	Optional[int]     ):
    try:
      yield repo_id
    finally:
      cleanup_repo(_lowerCamelCase     )

  return _temporary_repo





@pytest.fixture(scope="""session"""     )
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	HfApi      ,_lowerCamelCase						:	str      ,_lowerCamelCase						:	int     )	->				Optional[int]:
  _lowerCAmelCase						:	Any        =					f"repo_txt_data-{int(time.time() * 10e3     )}"
  _lowerCAmelCase						:	str        =					f"{CI_HUB_USER}/{repo_name}"
  hf_api.create_repo(_lowerCamelCase      ,token=_lowerCamelCase      ,repo_type="""dataset"""      ,private=_lowerCamelCase     )
  hf_api.upload_file(
      token=_lowerCamelCase      ,path_or_fileobj=str(_lowerCamelCase     )      ,path_in_repo="""data/text_data.txt"""      ,repo_id=_lowerCamelCase      ,repo_type="""dataset"""      ,)
  yield repo_id
  try:
    hf_api.delete_repo(_lowerCamelCase      ,token=_lowerCamelCase      ,repo_type="""dataset"""     )
  except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
    pass





@pytest.fixture()
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	int      ,_lowerCamelCase						:	Optional[int]      ,_lowerCamelCase						:	Optional[Any]     )	->				int:
  return hf_private_dataset_repo_txt_data_





@pytest.fixture(scope="""session"""     )
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	HfApi      ,_lowerCamelCase						:	Tuple      ,_lowerCamelCase						:	Optional[Any]     )	->				int:
  _lowerCAmelCase						:	Tuple        =					f"repo_zipped_txt_data-{int(time.time() * 10e3     )}"
  _lowerCAmelCase						:	Optional[Any]        =					f"{CI_HUB_USER}/{repo_name}"
  hf_api.create_repo(_lowerCamelCase      ,token=_lowerCamelCase      ,repo_type="""dataset"""      ,private=_lowerCamelCase     )
  hf_api.upload_file(
      token=_lowerCamelCase      ,path_or_fileobj=str(_lowerCamelCase     )      ,path_in_repo="""data.zip"""      ,repo_id=_lowerCamelCase      ,repo_type="""dataset"""      ,)
  yield repo_id
  try:
    hf_api.delete_repo(_lowerCamelCase      ,token=_lowerCamelCase      ,repo_type="""dataset"""     )
  except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
    pass





@pytest.fixture()
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	Union[str, Any]      ,_lowerCamelCase						:	Tuple      ,_lowerCamelCase						:	Any     )	->				List[str]:
  return hf_private_dataset_repo_zipped_txt_data_





@pytest.fixture(scope="""session"""     )
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	HfApi      ,_lowerCamelCase						:	Any      ,_lowerCamelCase						:	str     )	->				Any:
  _lowerCAmelCase						:	Tuple        =					f"repo_zipped_img_data-{int(time.time() * 10e3     )}"
  _lowerCAmelCase						:	Optional[int]        =					f"{CI_HUB_USER}/{repo_name}"
  hf_api.create_repo(_lowerCamelCase      ,token=_lowerCamelCase      ,repo_type="""dataset"""      ,private=_lowerCamelCase     )
  hf_api.upload_file(
      token=_lowerCamelCase      ,path_or_fileobj=str(_lowerCamelCase     )      ,path_in_repo="""data.zip"""      ,repo_id=_lowerCamelCase      ,repo_type="""dataset"""      ,)
  yield repo_id
  try:
    hf_api.delete_repo(_lowerCamelCase      ,token=_lowerCamelCase      ,repo_type="""dataset"""     )
  except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
    pass






@pytest.fixture()
def 							SCREAMING_SNAKE_CASE					(      _lowerCamelCase						:	Any      ,_lowerCamelCase						:	List[Any]      ,_lowerCamelCase						:	Dict     )	->				List[str]:
  return hf_private_dataset_repo_zipped_img_data_





"""simple docstring"""




from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class 						__A							(			SCREAMING_SNAKE_CASE_		):






     def __init__(		self    ,					a__    ,					a__ = None    ,					a__ = None    ,					a__ = True    ,					a__ = None    ,					a__ = False    ,					a__ = None    ,					a__ = True    ,					a__ = "arrow"    ,					**a__    ,					):
       super().__init__(
           split=a__    ,					features=a__    ,					cache_dir=a__    ,					keep_in_memory=a__    ,					streaming=a__    ,					**a__    ,					)
       _lowerCAmelCase						:	List[Any]        =					load_from_cache_file
       _lowerCAmelCase						:	str        =					file_format
       _lowerCAmelCase						:	Dict        =					Spark(
           df=a__    ,					features=a__    ,					cache_dir=a__    ,					working_dir=a__    ,					**a__    ,					)






     def    __A  (		self  ):
       if self.streaming:
         return self.builder.as_streaming_dataset(split=self.split  )
       _lowerCAmelCase						:	Dict        =					None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
       self.builder.download_and_prepare(
           download_mode=a__    ,					file_format=self._file_format    ,					)
       return self.builder.as_dataset(split=self.split  )




