

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									=  [
    {'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 a(lowercase__=True						):





	'''simple docstring'''
	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=__snake_case				)				)
class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	None
			__A    	=	None


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase			,					__UpperCamelCase				):

				"""simple docstring"""


				with TemporaryDirectory() as tmp_dir:
					snake_case_   		=			dataset_module_factory(__UpperCamelCase			,					cache_dir=__UpperCamelCase				)

					snake_case_   		=			import_main_class(dataset_module.module_path			,					dataset=__UpperCamelCase				)

					snake_case_   		=			builder_cls(
					    cache_dir=__UpperCamelCase			,					config_name=__UpperCamelCase			,					hash=dataset_module.hash			,					)

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







@pytest.mark.integration
def a(lowercase__						):





	'''simple docstring'''
	snake_case_   		=			tmp_path_factory.mktemp('test_hf_gcp'						) / 'test_wikipedia_simple'
	snake_case_   		=			dataset_module_factory('wikipedia'      ,			cache_dir=lowercase__						)
	snake_case_   		=			import_main_class(dataset_module.module_path						)
	snake_case_   		=			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
	snake_case_   		=			None
	builder_instance.download_and_prepare()
	snake_case_   		=			builder_instance.as_dataset()
	assert ds






@pytest.mark.integration
def a(lowercase__						):





	'''simple docstring'''
	snake_case_   		=			dataset_module_factory('wikipedia'      ,			cache_dir=lowercase__						)
	snake_case_   		=			import_main_class(dataset_module.module_path      ,			dataset=lowercase__						)
	snake_case_   		=			builder_cls(
	    cache_dir=lowercase__      ,			config_name='20220301.frr'      ,			hash=dataset_module.hash      ,			)
	snake_case_   		=			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']						)						)



A									=  [
    'Audio',
    'Array2D',
    'Array3D',
    'Array4D',
    'Array5D',
    'ClassLabel',
    'Features',
    'Sequence',
    'Value',
    'Image',
    'Translation',
    'TranslationVariableLanguages',
]
from .audio import Audio
from .features import ArrayaD, ArrayaD, ArrayaD, ArrayaD, ClassLabel, Features, Sequence, Value
from .image import Image
from .translation import Translation, TranslationVariableLanguages
