





"""simple docstring"""






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       __A (     a_  :int				,    a_  :int				,    a_  :Tuple				,    a_  :Optional[Any]				,    a_  :int				,    a_  :List[str]				,    a_  :Optional[int]				,    a_  :Optional[Any]				,    a_  :Dict				,    a_  :List[str]				,    a_  :int				,    a_  :Union[str, Any]				,    )						->						Any:
				__a	:  List[str]         =					{
				    '''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),
				}
				__a    ,  __a	:  Optional[int]         =					input_paths_and_base_extractors[compression_format]
				if input_path is None:
								__a	:  Union[str, Any]         =					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(a_)
				assert base_extractor.is_extractable(a_)
				__a	:  Union[str, Any]         =					tmp_path / ('''extracted''' if is_archive else '''extracted.txt''')
				base_extractor.extract(a_				,    a_)
				if is_archive:
								assert output_path.is_dir()
								for file_path in output_path.iterdir():
												assert file_path.name == text_file.name
												__a	:  List[str]         =					file_path.read_text(encoding='''utf-8''')
				else:
								__a	:  Tuple         =					output_path.read_text(encoding='''utf-8''')
				__a	:  Optional[int]         =					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       __A (     a_  :int				,    a_  :int				,    a_  :Optional[int]				,    a_  :str				,    a_  :str				,    a_  :Union[str, Any]				,    a_  :str				,    a_  :Optional[Any]				,    a_  :str				,    a_  :str				,    a_  :Tuple				,    a_  :Union[str, Any]				,    )						->						Dict:
				__a	:  Tuple         =					{
				    '''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,
				}
				__a	:  Optional[int]         =					input_paths[compression_format]
				if input_path is None:
								__a	:  Tuple         =					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(a_)
				__a	:  Dict         =					Extractor.infer_extractor_format(a_)
				assert extractor_format is not None
				__a	:  Optional[Any]         =					tmp_path / ('''extracted''' if is_archive else '''extracted.txt''')
				Extractor.extract(a_				,    a_				,    a_)
				if is_archive:
								assert output_path.is_dir()
								for file_path in output_path.iterdir():
												assert file_path.name == text_file.name
												__a	:  str         =					file_path.read_text(encoding='''utf-8''')
				else:
								__a	:  Optional[int]         =					output_path.read_text(encoding='''utf-8''')
				__a	:  Union[str, Any]         =					text_file.read_text(encoding='''utf-8''')
				assert extracted_file_content == expected_file_content

@pytest.fixture
def       __A (     a_  :Dict				,    a_  :Tuple)						->						Optional[int]:
				import tarfile

				__a	:  Any         =					tmp_path / '''data_dot_dot'''
				directory.mkdir()
				__a	:  Tuple         =					directory / '''tar_file_with_dot_dot.tar'''
				with tarfile.TarFile(a_				,    '''w''') as f:
								f.add(a_				,    arcname=os.path.join('''..'''				,    text_file.name))
				return path

@pytest.fixture
def       __A (     a_  :Any)						->						str:
				import tarfile

				__a	:  Dict         =					tmp_path / '''data_sym_link'''
				directory.mkdir()
				__a	:  Optional[int]         =					directory / '''tar_file_with_sym_link.tar'''
				os.symlink('''..'''				,    directory / '''subdir'''				,    target_is_directory=a_)
				with tarfile.TarFile(a_				,    '''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       __A (     a_  :Tuple				,    a_  :Any				,    a_  :str				,    a_  :Optional[int]				,    a_  :str				,    a_  :List[Any])						->						Optional[Any]:
				__a	:  Optional[Any]         =					{
				    '''tar_file_with_dot_dot''': tar_file_with_dot_dot,
				    '''tar_file_with_sym_link''': tar_file_with_sym_link,
				}
				__a	:  List[str]         =					insecure_tar_files[insecure_tar_file]
				__a	:  str         =					tmp_path / '''extracted'''
				TarExtractor.extract(a_				,    a_)
				assert caplog.text
				for record in caplog.records:
								assert record.levelname == "ERROR"
								assert error_log in record.msg






def       __A (     a_  :List[str])						->						str:
				# We should have less false positives than zipfile.is_zipfile
				# We do that by checking only the magic number
				__a	:  Union[str, Any]         =					tmpdir / '''not_a_zip_file'''
				# From: https://github.com/python/cpython/pull/5053
				__a	:  Optional[Any]         =					(
				    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(a_)
				assert zipfile.is_zipfile(str(a_))  # is a false positive for `zipfile`
				assert not ZipExtractor.is_extractable(a_)  # but we're right






"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


A	     =					{
    '''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
    '''tokenization_mvp''': ['''MvpTokenizer'''],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A	     =					['''MvpTokenizerFast''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A	     =					[
		    '''MVP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''MvpForCausalLM''',
		    '''MvpForConditionalGeneration''',
		    '''MvpForQuestionAnswering''',
		    '''MvpForSequenceClassification''',
		    '''MvpModel''',
		    '''MvpPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
		from .tokenization_mvp import MvpTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_mvp_fast import MvpTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mvp import (
				    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MvpForCausalLM,
				    MvpForConditionalGeneration,
				    MvpForQuestionAnswering,
				    MvpForSequenceClassification,
				    MvpModel,
				    MvpPreTrainedModel,
				)

else:
		import sys

		A	     =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)