






'''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							:							Tuple  							=		[
    {"""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_     (    lowercase__=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=_lowerCamelCase      )      )
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							None
    lowerCAmelCase__      				=							None

    def    a__				(					self     :     Optional[int]				,     __lowerCamelCase     :     Optional[Any]				,     __lowerCamelCase     :     Any     )							->							str:

     '''simple docstring'''




     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    lowerCamelCase_     (    lowercase__):
 lowerCamelCase__  =     tmp_path_factory.mktemp("test_hf_gcp") / "test_wikipedia_simple"
 lowerCamelCase__  =     dataset_module_factory("wikipedia"				,     cache_dir=lowercase__)
 lowerCamelCase__  =     import_main_class(dataset_module.module_path)
 lowerCamelCase__  =     builder_cls(
     cache_dir=lowercase__				,     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    lowerCamelCase_     (    lowercase__):
 lowerCamelCase__  =     dataset_module_factory("wikipedia"				,     cache_dir=lowercase__)
 lowerCamelCase__  =     import_main_class(dataset_module.module_path				,     dataset=lowercase__)
 lowerCamelCase__  =     builder_cls(
     cache_dir=lowercase__				,     config_name="20220301.frr"				,     hash=dataset_module.hash				,     )
 lowerCamelCase__  =     builder_instance.as_streaming_dataset()
 assert ds
 assert isinstance(lowercase__				,     lowercase__)
 assert "train" in ds
 assert isinstance(ds["train"]				,     lowercase__)
 assert next(iter(ds["train"]))









'''simple docstring'''





from ..utils import DummyObject, requires_backends
class 				lowercase       (							metaclass=_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							["flax", "transformers"]

    def __init__(					self     :     List[str]				,     *__lowerCamelCase     :     int				,     **__lowerCamelCase     :     Any     )							->							Optional[int]:

     '''simple docstring'''




     requires_backends(self				,     ["flax", "transformers"]     )

    @classmethod
    def    a__				(					cls     :     Any				,     *__lowerCamelCase     :     Optional[int]				,     **__lowerCamelCase     :     Dict     )							->							str:

     '''simple docstring'''




     requires_backends(cls				,     ["flax", "transformers"]     )




    @classmethod
    def    a__				(					cls     :     str				,     *__lowerCamelCase     :     str				,     **__lowerCamelCase     :     Any     )							->							str:

     '''simple docstring'''




     requires_backends(cls				,     ["flax", "transformers"]     )
class 				lowercase       (							metaclass=_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							["flax", "transformers"]

    def __init__(					self     :     str				,     *__lowerCamelCase     :     List[Any]				,     **__lowerCamelCase     :     int     )							->							List[str]:

     '''simple docstring'''




     requires_backends(self				,     ["flax", "transformers"]     )

    @classmethod
    def    a__				(					cls     :     Dict				,     *__lowerCamelCase     :     Any				,     **__lowerCamelCase     :     str     )							->							Optional[int]:

     '''simple docstring'''




     requires_backends(cls				,     ["flax", "transformers"]     )




    @classmethod
    def    a__				(					cls     :     Any				,     *__lowerCamelCase     :     int				,     **__lowerCamelCase     :     Dict     )							->							int:

     '''simple docstring'''




     requires_backends(cls				,     ["flax", "transformers"]     )
class 				lowercase       (							metaclass=_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							["flax", "transformers"]

    def __init__(					self     :     Dict				,     *__lowerCamelCase     :     str				,     **__lowerCamelCase     :     List[Any]     )							->							str:

     '''simple docstring'''




     requires_backends(self				,     ["flax", "transformers"]     )

    @classmethod
    def    a__				(					cls     :     Optional[int]				,     *__lowerCamelCase     :     Optional[int]				,     **__lowerCamelCase     :     Optional[Any]     )							->							Dict:

     '''simple docstring'''




     requires_backends(cls				,     ["flax", "transformers"]     )




    @classmethod
    def    a__				(					cls     :     Optional[int]				,     *__lowerCamelCase     :     Dict				,     **__lowerCamelCase     :     List[str]     )							->							Dict:

     '''simple docstring'''




     requires_backends(cls				,     ["flax", "transformers"]     )
class 				lowercase       (							metaclass=_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							["flax", "transformers"]

    def __init__(					self     :     int				,     *__lowerCamelCase     :     List[str]				,     **__lowerCamelCase     :     int     )							->							Optional[int]:

     '''simple docstring'''




     requires_backends(self				,     ["flax", "transformers"]     )

    @classmethod
    def    a__				(					cls     :     Any				,     *__lowerCamelCase     :     Tuple				,     **__lowerCamelCase     :     str     )							->							List[str]:

     '''simple docstring'''




     requires_backends(cls				,     ["flax", "transformers"]     )




    @classmethod
    def    a__				(					cls     :     List[Any]				,     *__lowerCamelCase     :     List[str]				,     **__lowerCamelCase     :     List[Any]     )							->							int:

     '''simple docstring'''




     requires_backends(cls				,     ["flax", "transformers"]     )

