





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      :       Optional[int]									=  [
    {"""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_	(		A__=True				)  ->		List[str]:
       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  A__    (							__UpperCAmelCase	):




   """simple docstring"""



   __A   :				Tuple         =  None
   __A   :				Union[str, Any]         =  None

   def 							__lowercase		(					self					,  lowercase					,  lowercase)			->						Union[str, Any]:







          '''simple docstring'''

          with TemporaryDirectory() as tmp_dir:
                 a__						:	Dict =				dataset_module_factory(lowercase					,  cache_dir=lowercase)

                 a__						:	str =				import_main_class(dataset_module.module_path					,  dataset=lowercase)

                 a__						:	DatasetBuilder =				builder_cls(
                     cache_dir=lowercase					,  config_name=lowercase					,  hash=dataset_module.hash					,  )

                 a__						:	Dict =				'/'.join(
                     [
                         HF_GCP_BASE_URL,
                         builder_instance._relative_data_dir(with_hash=lowercase).replace(os.sep					,  '/'),
                         config.DATASET_INFO_FILENAME,
                     ])
                 a__						:	List[Any] =				cached_path(lowercase					,  cache_dir=lowercase)
                 self.assertTrue(os.path.exists(lowercase))



@pytest.mark.integration
def A_	(		A__				)  ->		Any:
       a__						:	List[str] =				tmp_path_factory.mktemp('test_hf_gcp'				) / 'test_wikipedia_simple'
       a__						:	List[Any] =				dataset_module_factory('wikipedia'		,      cache_dir=A__				)
       a__						:	Optional[int] =				import_main_class(dataset_module.module_path				)
       a__						:	DatasetBuilder =				builder_cls(
           cache_dir=A__		,      config_name='20220301.frr'		,      hash=dataset_module.hash		,      )
       # use the HF cloud storage, not the original download_and_prepare that uses apache-beam
       a__						:	List[Any] =				None
       builder_instance.download_and_prepare()
       a__						:	str =				builder_instance.as_dataset()
       assert ds



@pytest.mark.integration
def A_	(		A__				)  ->		int:
       a__						:	Dict =				dataset_module_factory('wikipedia'		,      cache_dir=A__				)
       a__						:	Union[str, Any] =				import_main_class(dataset_module.module_path		,      dataset=A__				)
       a__						:	DatasetBuilder =				builder_cls(
           cache_dir=A__		,      config_name='20220301.frr'		,      hash=dataset_module.hash		,      )
       a__						:	str =				builder_instance.as_streaming_dataset()
       assert ds
       assert isinstance(A__		,      A__				)
       assert "train" in ds
       assert isinstance(ds['train']		,      A__				)
       assert next(iter(ds['train']				)				)




import os
import zipfile

import pytest

from datasets.utils.extract import (
    BzipaExtractor,
    Extractor,
    GzipExtractor,
    LzaExtractor,
    SevenZipExtractor,
    TarExtractor,
    XzExtractor,
    ZipExtractor,
    ZstdExtractor,
)

from .utils import require_lza, require_pyazr, require_zstandard







@pytest.mark.parametrize(
    """compression_format, is_archive"""					,	[
        ("""7z""", True),
        ("""bz2""", False),
        ("""gzip""", False),
        ("""lz4""", False),
        ("""tar""", True),
        ("""xz""", False),
        ("""zip""", True),
        ("""zstd""", False),
    ]					,	)
def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	) ->    Any:
       lowercase							:     Dict       	=      {
           """7z""": (seven_zip_file, SevenZipExtractor),
           """bz2""": (bza_file, BzipaExtractor),
           """gzip""": (gz_file, GzipExtractor),
           """lz4""": (lza_file, LzaExtractor),
           """tar""": (tar_file, TarExtractor),
           """xz""": (xz_file, XzExtractor),
           """zip""": (zip_file, ZipExtractor),
           """zstd""": (zstd_file, ZstdExtractor),
       }
       lowercase	,			lowercase							:     Optional[Any]       	=      input_paths_and_base_extractors[compression_format]
       if input_path is None:
              lowercase							:     Dict       	=      f"for '{compression_format}' compression_format, "
              if compression_format == "7z":
                     reason += require_pyazr.kwargs["reason"]
              elif compression_format == "lz4":
                     reason += require_lza.kwargs["reason"]
              elif compression_format == "zstd":
                     reason += require_zstandard.kwargs["reason"]
              pytest.skip(SCREAMING_SNAKE_CASE__				)
       assert base_extractor.is_extractable(SCREAMING_SNAKE_CASE__				)
       lowercase							:     Any       	=      tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
       base_extractor.extract(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)
       if is_archive:
              assert output_path.is_dir()
              for file_path in output_path.iterdir():
                     assert file_path.name == text_file.name
                     lowercase							:     str       	=      file_path.read_text(encoding="""utf-8"""				)
       else:
              lowercase							:     Optional[Any]       	=      output_path.read_text(encoding="""utf-8"""				)
       lowercase							:     Tuple       	=      text_file.read_text(encoding="""utf-8"""				)
       assert extracted_file_content == expected_file_content







@pytest.mark.parametrize(
    """compression_format, is_archive"""					,	[
        ("""7z""", True),
        ("""bz2""", False),
        ("""gzip""", False),
        ("""lz4""", False),
        ("""tar""", True),
        ("""xz""", False),
        ("""zip""", True),
        ("""zstd""", False),
    ]					,	)
def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	) ->    Dict:
       lowercase							:     str       	=      {
           """7z""": seven_zip_file,
           """bz2""": bza_file,
           """gzip""": gz_file,
           """lz4""": lza_file,
           """tar""": tar_file,
           """xz""": xz_file,
           """zip""": zip_file,
           """zstd""": zstd_file,
       }
       lowercase							:     Optional[Any]       	=      input_paths[compression_format]
       if input_path is None:
              lowercase							:     int       	=      f"for '{compression_format}' compression_format, "
              if compression_format == "7z":
                     reason += require_pyazr.kwargs["reason"]
              elif compression_format == "lz4":
                     reason += require_lza.kwargs["reason"]
              elif compression_format == "zstd":
                     reason += require_zstandard.kwargs["reason"]
              pytest.skip(SCREAMING_SNAKE_CASE__				)
       lowercase							:     Union[str, Any]       	=      Extractor.infer_extractor_format(SCREAMING_SNAKE_CASE__				)
       assert extractor_format is not None
       lowercase							:     Any       	=      tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
       Extractor.extract(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)
       if is_archive:
              assert output_path.is_dir()
              for file_path in output_path.iterdir():
                     assert file_path.name == text_file.name
                     lowercase							:     Dict       	=      file_path.read_text(encoding="""utf-8"""				)
       else:
              lowercase							:     int       	=      output_path.read_text(encoding="""utf-8"""				)
       lowercase							:     Optional[Any]       	=      text_file.read_text(encoding="""utf-8"""				)
       assert extracted_file_content == expected_file_content







@pytest.fixture
def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    Dict:
       import tarfile

       lowercase							:     Tuple       	=      tmp_path / """data_dot_dot"""
       directory.mkdir()
       lowercase							:     str       	=      directory / """tar_file_with_dot_dot.tar"""
       with tarfile.TarFile(SCREAMING_SNAKE_CASE__					,	"""w"""				) as f:
              f.add(SCREAMING_SNAKE_CASE__					,	arcname=os.path.join(""".."""					,	text_file.name				)				)
       return path







@pytest.fixture
def 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    List[str]:
       import tarfile

       lowercase							:     Tuple       	=      tmp_path / """data_sym_link"""
       directory.mkdir()
       lowercase							:     int       	=      directory / """tar_file_with_sym_link.tar"""
       os.symlink(""".."""					,	directory / """subdir"""					,	target_is_directory=SCREAMING_SNAKE_CASE__				)
       with tarfile.TarFile(SCREAMING_SNAKE_CASE__					,	"""w"""				) as f:
              f.add(str(directory / """subdir"""				)					,	arcname="""subdir"""				)  # str required by os.readlink on Windows and Python < 3.8
       return path







@pytest.mark.parametrize(
    """insecure_tar_file, error_log"""					,	[("""tar_file_with_dot_dot""", """illegal path"""), ("""tar_file_with_sym_link""", """Symlink""")]					,	)
def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    Optional[Any]:
       lowercase							:     List[Any]       	=      {
           """tar_file_with_dot_dot""": tar_file_with_dot_dot,
           """tar_file_with_sym_link""": tar_file_with_sym_link,
       }
       lowercase							:     Optional[int]       	=      insecure_tar_files[insecure_tar_file]
       lowercase							:     List[str]       	=      tmp_path / """extracted"""
       TarExtractor.extract(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)
       assert caplog.text
       for record in caplog.records:
              assert record.levelname == "ERROR"
              assert error_log in record.msg







def 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    Optional[int]:
       # We should have less false positives than zipfile.is_zipfile
       # We do that by checking only the magic number
       lowercase							:     Any       	=      tmpdir / """not_a_zip_file"""
       # From: https://github.com/python/cpython/pull/5053
       lowercase							:     str       	=      (
           B"""\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00"""
           B"""\x00\x02\x08\x06\x00\x00\x00\x99\x81\xb6'\x00\x00\x00\x15I"""
           B"""DATx\x01\x01\n\x00\xf5\xff\x00PK\x05\x06\x00PK\x06\x06\x07"""
           B"""\xac\x01N\xc6|a\r\x00\x00\x00\x00IEND\xaeB`\x82"""
       )
       with not_a_zip_file.open("""wb"""				) as f:
              f.write(SCREAMING_SNAKE_CASE__				)
       assert zipfile.is_zipfile(str(SCREAMING_SNAKE_CASE__				)				)  # is a false positive for `zipfile`
       assert not ZipExtractor.is_extractable(SCREAMING_SNAKE_CASE__				)  # but we're right
