'''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


_lowercase						: str						=						[
    {'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	(      UpperCAmelCase__       :					Union[str, Any]=True )			->      Union[str, 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     __magic_name__						(    UpperCamelCase__):
			UpperCamelCase__				=       None
			UpperCamelCase__				=       None







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[int]				,			lowercase_				:  Optional[int]				,			lowercase_				:  Optional[Any]    ):
										with TemporaryDirectory() as tmp_dir:
																	lowercase_					:			Dict										=       dataset_module_factory(__a				,			cache_dir=__a    )

																	lowercase_					:			List[str]										=       import_main_class(dataset_module.module_path				,			dataset=__a    )

																	lowercase_					:			Tuple										=       builder_cls(
																	    cache_dir=__a				,			config_name=__a				,			hash=dataset_module.hash				,			)

																	lowercase_					:			Optional[Any]										=       """/""".join(
																	    [
																	        HF_GCP_BASE_URL,
																	        builder_instance._relative_data_dir(with_hash=__a    ).replace(os.sep				,			"""/"""    ),
																	        config.DATASET_INFO_FILENAME,
																	    ]    )
																	lowercase_					:			int										=       cached_path(__a				,			cache_dir=__a    )
																	self.assertTrue(os.path.exists(__a    )    )




@pytest.mark.integration
def 							lowerCamelCase	(      UpperCAmelCase__       :					Any )			->      List[Any]:
							lowercase_					:			Any										=       tmp_path_factory.mktemp("""test_hf_gcp""" ) / """test_wikipedia_simple"""
							lowercase_					:			Any										=       dataset_module_factory("""wikipedia"""      ,      cache_dir=snake_case_ )
							lowercase_					:			Optional[Any]										=       import_main_class(dataset_module.module_path )
							lowercase_					:			Optional[Any]										=       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
							lowercase_					:			Optional[int]										=       None
							builder_instance.download_and_prepare()
							lowercase_					:			Any										=       builder_instance.as_dataset()
							assert ds




@pytest.mark.integration
def 							lowerCamelCase	(      UpperCAmelCase__       :					List[Any] )			->      Dict:
							lowercase_					:			Optional[int]										=       dataset_module_factory("""wikipedia"""      ,      cache_dir=snake_case_ )
							lowercase_					:			str										=       import_main_class(dataset_module.module_path      ,      dataset=snake_case_ )
							lowercase_					:			List[Any]										=       builder_cls(
							    cache_dir=snake_case_      ,      config_name="""20220301.frr"""      ,      hash=dataset_module.hash      ,      )
							lowercase_					:			Optional[int]										=       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 warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


SCREAMING_SNAKE_CASE_:     Union[str, Any]  =logging.get_logger(__name__)




class        __A      ( UpperCamelCase__	):



    def __init__(self    :    int   ,			*__a    :    Dict   ,			**__a    :    str ):
         warnings.warn(
             "The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
             " use CLIPImageProcessor instead."   ,			__a   ,			)
         super().__init__(*__a   ,			**__a )




