





import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard






def 	lowerCamelCase_		(							_UpperCamelCase					)						->		Any:






				"""simple docstring"""


				assert "mock" in _fsspec_registry
				assert "bz2" in _fsspec_registry






def 	lowerCamelCase_		(							)						->		Union[str, Any]:






				"""simple docstring"""


				assert "mock" not in _fsspec_registry
				assert "bz2" in _fsspec_registry






def 	lowerCamelCase_		(							)						->		Tuple:






				"""simple docstring"""


				snake_case_		:       str           =    '''mock-s3-bucket'''
				snake_case_		:       str           =    f'''s3://{mock_bucket}'''
				snake_case_		:       Any           =    extract_path_from_uri(_UpperCamelCase					)
				assert dataset_path.startswith('''s3://'''					) is False

				snake_case_		:       Optional[Any]           =    '''./local/path'''
				snake_case_		:       List[str]           =    extract_path_from_uri(_UpperCamelCase					)
				assert dataset_path == new_dataset_path






def 	lowerCamelCase_		(							_UpperCamelCase					)						->		str:






				"""simple docstring"""


				snake_case_		:       Union[str, Any]           =    is_remote_filesystem(_UpperCamelCase					)
				assert is_remote is True

				snake_case_		:       Union[str, Any]           =    fsspec.filesystem('''file'''					)

				snake_case_		:       int           =    is_remote_filesystem(_UpperCamelCase					)
				assert is_remote is False






@pytest.mark.parametrize('''compression_fs_class'''					,							_UpperCamelCase					)
def 	lowerCamelCase_		(							_UpperCamelCase					,							_UpperCamelCase					,							_UpperCamelCase					,							_UpperCamelCase					,							_UpperCamelCase					,							_UpperCamelCase					,							_UpperCamelCase					)						->		Tuple:






				"""simple docstring"""


				snake_case_		:       Optional[Any]           =    {'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_file, '''bz2''': bza_file, '''lz4''': lza_file}
				snake_case_		:       Optional[Any]           =    input_paths[compression_fs_class.protocol]
				if input_path is None:
								snake_case_		:       List[Any]           =    f'''for \'{compression_fs_class.protocol}\' compression protocol, '''
								if compression_fs_class.protocol == "lz4":
												reason += require_lza.kwargs["reason"]
								elif compression_fs_class.protocol == "zstd":
												reason += require_zstandard.kwargs["reason"]
								pytest.skip(_UpperCamelCase					)
				snake_case_		:       Dict           =    fsspec.filesystem(compression_fs_class.protocol					,							fo=_UpperCamelCase					)
				assert isinstance(_UpperCamelCase					,							_UpperCamelCase					)
				snake_case_		:       int           =    os.path.basename(_UpperCamelCase					)
				snake_case_		:       Any           =    expected_filename[: expected_filename.rindex('''.'''					)]
				assert fs.glob('''*'''					) == [expected_filename]
				with fs.open(_UpperCamelCase					,							'''r'''					,							encoding='''utf-8'''					) as f, open(_UpperCamelCase					,							encoding='''utf-8'''					) as expected_file:
								assert f.read() == expected_file.read()






@pytest.mark.parametrize('''protocol'''					,							['''zip''', '''gzip''']					)
def 	lowerCamelCase_		(							_UpperCamelCase					,							_UpperCamelCase					,							_UpperCamelCase					)						->		Optional[int]:






				"""simple docstring"""


				snake_case_		:       Union[str, Any]           =    {'''zip''': zip_jsonl_path, '''gzip''': jsonl_gz_path}
				snake_case_		:       Any           =    compressed_file_paths[protocol]
				snake_case_		:       Any           =    '''dataset.jsonl'''
				snake_case_		:       Dict           =    f'''{protocol}://{member_file_path}::{compressed_file_path}'''
				snake_case_     ,				*snake_case_		:       Optional[Any]           =    fsspec.get_fs_token_paths(_UpperCamelCase					)
				assert fs.isfile(_UpperCamelCase					)
				assert not fs.isfile('''non_existing_''' + member_file_path					)






@pytest.mark.integration
def 	lowerCamelCase_		(							_UpperCamelCase					,							_UpperCamelCase					,							_UpperCamelCase					,							_UpperCamelCase					)						->		Dict:






				"""simple docstring"""


				snake_case_		:       Optional[int]           =    hf_api.dataset_info(_UpperCamelCase					,							token=_UpperCamelCase					)
				snake_case_		:       List[str]           =    HfFileSystem(repo_info=_UpperCamelCase					,							token=_UpperCamelCase					)
				assert sorted(hffs.glob('''*'''					)					) == [".gitattributes", "data"]
				assert hffs.isdir('''data'''					)
				assert hffs.isfile('''.gitattributes'''					) and hffs.isfile('''data/text_data.txt'''					)
				with open(_UpperCamelCase					) as f:
								assert hffs.open('''data/text_data.txt'''					,							'''r'''					).read() == f.read()






def 	lowerCamelCase_		(							)						->		Any:






				"""simple docstring"""


				snake_case_		:       Tuple           =    '''bz2'''

				# Import module
				import datasets.filesystems

				# Overwrite protocol and reload
				register_implementation(_UpperCamelCase					,							_UpperCamelCase					,							clobber=_UpperCamelCase					)
				with pytest.warns(_UpperCamelCase					) as warning_info:
								importlib.reload(datasets.filesystems					)

				assert len(_UpperCamelCase					) == 1
				assert (
				    str(warning_info[0].message					)
				    == f'''A filesystem protocol was already set for {protocol} and will be overwritten.'''
				)


"""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							=				[
    {'''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__			(		__magic_name__=True      )						->int:
			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=__a       )       )
class 					__a     ( __a       ):



							'''simple docstring'''







							_lowerCamelCase					:			int          =   None
							_lowerCamelCase					:			int          =   None
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase       )			->							Optional[Any]:




										'''simple docstring'''
										with TemporaryDirectory() as tmp_dir:
													__lowercase       =       dataset_module_factory(_lowerCamelCase  ,    cache_dir=_lowerCamelCase       )

													__lowercase       =       import_main_class(dataset_module.module_path  ,    dataset=_lowerCamelCase       )

													__lowercase       =       builder_cls(
													    cache_dir=_lowerCamelCase  ,    config_name=_lowerCamelCase  ,    hash=dataset_module.hash  ,    )

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





@pytest.mark.integration
def      lowerCAmelCase__			(		__magic_name__      )						->str:
			__lowercase       =       tmp_path_factory.mktemp("test_hf_gcp"      ) / "test_wikipedia_simple"
			__lowercase       =       dataset_module_factory("wikipedia"			,   cache_dir=__magic_name__      )
			__lowercase       =       import_main_class(dataset_module.module_path      )
			__lowercase       =       builder_cls(
			    cache_dir=__magic_name__			,   config_name="20220301.frr"			,   hash=dataset_module.hash			,   )
			# use the HF cloud storage, not the original download_and_prepare that uses apache-beam
			__lowercase       =       None
			builder_instance.download_and_prepare()
			__lowercase       =       builder_instance.as_dataset()
			assert ds







@pytest.mark.integration
def      lowerCAmelCase__			(		__magic_name__      )						->Any:
			__lowercase       =       dataset_module_factory("wikipedia"			,   cache_dir=__magic_name__      )
			__lowercase       =       import_main_class(dataset_module.module_path			,   dataset=__magic_name__      )
			__lowercase       =       builder_cls(
			    cache_dir=__magic_name__			,   config_name="20220301.frr"			,   hash=dataset_module.hash			,   )
			__lowercase       =       builder_instance.as_streaming_dataset()
			assert ds
			assert isinstance(__magic_name__			,   __magic_name__      )
			assert "train" in ds
			assert isinstance(ds["train"]			,   __magic_name__      )
			assert next(iter(ds["train"]      )      )





