

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


_UpperCAmelCase	:     List[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__=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=lowercase_    )    )
class 				lowercase       ( lowercase_    ):
				__SCREAMING_SNAKE_CASE      :				Union[str, Any]     =    None
				__SCREAMING_SNAKE_CASE      :				str     =    None




				def 					a							(      self   ,     snake_case   ,     snake_case ):
											with TemporaryDirectory() as tmp_dir:
																		snake_case_           =					dataset_module_factory(snake_case   ,     cache_dir=snake_case )

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

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

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





@pytest.mark.integration
def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






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





@pytest.mark.integration
def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






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







import os

try:
					from .build_directory_md import good_file_paths
except ImportError:
					from build_directory_md import good_file_paths  # type: ignore

_UpperCAmelCase	:     Optional[int]		       = list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

_UpperCAmelCase	:     Dict		       = [file for file in filepaths if file != file.lower()]
if upper_files:
					print(F'''{len(upper_files)} files contain uppercase characters:''')
					print("""\n""".join(upper_files) + """\n""")

_UpperCAmelCase	:     Tuple		       = [file for file in filepaths if """ """ in file]
if space_files:
					print(F'''{len(space_files)} files contain space characters:''')
					print("""\n""".join(space_files) + """\n""")

_UpperCAmelCase	:     Union[str, Any]		       = [file for file in filepaths if """-""" in file]
if hyphen_files:
					print(F'''{len(hyphen_files)} files contain hyphen characters:''')
					print("""\n""".join(hyphen_files) + """\n""")

_UpperCAmelCase	:     List[Any]		       = [file for file in filepaths if os.sep not in file]
if nodir_files:
					print(F'''{len(nodir_files)} files are not in a directory:''')
					print("""\n""".join(nodir_files) + """\n""")

_UpperCAmelCase	:     List[str]		       = len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
					import sys

					sys.exit(bad_files)




