


"""simple docstring"""






import time
from contextlib import contextmanager
from pathlib import Path

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


__lowerCamelCase										=		'''__DUMMY_TRANSFORMERS_USER__'''
__lowerCamelCase										=		'''Dummy User'''
__lowerCamelCase										=		'''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'''

__lowerCamelCase										=		'''https://hub-ci.huggingface.co'''
__lowerCamelCase										=		CI_HUB_ENDPOINT + '''/datasets/{repo_id}/resolve/{revision}/{path}'''
__lowerCamelCase										=		CI_HUB_ENDPOINT + '''/{repo_id}/resolve/{revision}/{filename}'''
__lowerCamelCase										=		Path("~/.huggingface/hub_ci_token").expanduser()





@pytest.fixture
def 	lowercase      (   __UpperCamelCase						) ->      str:
 monkeypatch.setattr(
     '''huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'''      ,   __UpperCamelCase						)





@pytest.fixture
def 	lowercase      (   __UpperCamelCase						) ->      List[str]:
 monkeypatch.setattr('''datasets.config.HF_ENDPOINT'''      ,   __UpperCamelCase						)
 monkeypatch.setattr('''datasets.config.HUB_DATASETS_URL'''      ,   __UpperCamelCase						)





@pytest.fixture
def 	lowercase      (   __UpperCamelCase						) ->      Dict:
 monkeypatch.setattr('''huggingface_hub.hf_api.HfFolder.path_token'''      ,   __UpperCamelCase						)





@pytest.fixture
def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase						) ->      Tuple:
 HfFolder.save_token(__UpperCamelCase						)
 yield
 HfFolder.delete_token()





@pytest.fixture(scope='''session'''						)
def 	lowercase      (   ) ->      List[Any]:
 return HfApi(endpoint=__UpperCamelCase						)





@pytest.fixture(scope='''session'''						)
def 	lowercase      (   __UpperCamelCase						) ->      int:
 __magic_name__     =      HfFolder.get_token()
 HfFolder.save_token(__UpperCamelCase						)
 yield CI_HUB_USER_TOKEN
 if previous_token is not None:
  HfFolder.save_token(__UpperCamelCase						)





@pytest.fixture
def 	lowercase      (   __UpperCamelCase						) ->      str:
 def _cleanup_repo(__UpperCamelCase						):
  hf_api.delete_repo(__UpperCamelCase      ,   token=__UpperCamelCase      ,   repo_type='''dataset'''						)

 return _cleanup_repo





@pytest.fixture
def 	lowercase      (   __UpperCamelCase						) ->      str:
 @contextmanager
 def _temporary_repo(__UpperCamelCase						):
  try:
   yield repo_id
  finally:
   cleanup_repo(__UpperCamelCase						)

 return _temporary_repo





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





@pytest.fixture()
def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase      ,   __UpperCamelCase						) ->      Optional[int]:
 return hf_private_dataset_repo_txt_data_





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





@pytest.fixture()
def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase      ,   __UpperCamelCase						) ->      Any:
 return hf_private_dataset_repo_zipped_txt_data_





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





@pytest.fixture()
def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase      ,   __UpperCamelCase						) ->      Tuple:
 return hf_private_dataset_repo_zipped_img_data_




"""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


__lowerCamelCase										=		[
    {"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 	lowercase      (   __UpperCamelCase=True						) ->      List[Any]:
 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        _lowercase					(     __UpperCAmelCase     ):
     _lowerCamelCase     =       None
     _lowerCamelCase     =       None







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      with TemporaryDirectory() as tmp_dir:
       __magic_name__     =      dataset_module_factory(UpperCamelCase_ ,						cache_dir=UpperCamelCase_       )

       __magic_name__     =      import_main_class(dataset_module.module_path ,						dataset=UpperCamelCase_       )

       __magic_name__     =      builder_cls(
           cache_dir=UpperCamelCase_ ,						config_name=UpperCamelCase_ ,						hash=dataset_module.hash ,						)

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





@pytest.mark.integration
def 	lowercase      (   __UpperCamelCase						) ->      Tuple:
 __magic_name__     =      tmp_path_factory.mktemp('''test_hf_gcp'''						) / '''test_wikipedia_simple'''
 __magic_name__     =      dataset_module_factory('''wikipedia'''      ,   cache_dir=__UpperCamelCase						)
 __magic_name__     =      import_main_class(dataset_module.module_path						)
 __magic_name__     =      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
 __magic_name__     =      None
 builder_instance.download_and_prepare()
 __magic_name__     =      builder_instance.as_dataset()
 assert ds





@pytest.mark.integration
def 	lowercase      (   __UpperCamelCase						) ->      Tuple:
 __magic_name__     =      dataset_module_factory('''wikipedia'''      ,   cache_dir=__UpperCamelCase						)
 __magic_name__     =      import_main_class(dataset_module.module_path      ,   dataset=__UpperCamelCase						)
 __magic_name__     =      builder_cls(
     cache_dir=__UpperCamelCase      ,   config_name='''20220301.frr'''      ,   hash=dataset_module.hash      ,   )
 __magic_name__     =      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''']						)						)

