


'''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      UpperCAmelCase      (		lowerCamelCase_  :List[Any]				,      lowerCamelCase_  :List[Any]				,      lowerCamelCase_  :Any				,      lowerCamelCase_  :Optional[Any]				,      lowerCamelCase_  :str				,      lowerCamelCase_  :List[Any]				,      lowerCamelCase_  :List[Any]				,      lowerCamelCase_  :Tuple				,      lowerCamelCase_  :Union[str, Any]				,      lowerCamelCase_  :str				,      lowerCamelCase_  :Optional[Any]				,      lowerCamelCase_  :int				,      ):







		'''simple docstring'''
		snake_case_		:							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),
		}
		snake_case_       ,      snake_case_		:							Tuple			       =						input_paths_and_base_extractors[compression_format]
		if input_path is None:
				snake_case_		:							List[str]			       =						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(lowerCamelCase_ )
		assert base_extractor.is_extractable(lowerCamelCase_ )
		snake_case_		:							Any			       =						tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
		base_extractor.extract(lowerCamelCase_				,      lowerCamelCase_ )
		if is_archive:
				assert output_path.is_dir()
				for file_path in output_path.iterdir():
						assert file_path.name == text_file.name
						snake_case_		:							int			       =						file_path.read_text(encoding="""utf-8""" )
		else:
				snake_case_		:							Optional[Any]			       =						output_path.read_text(encoding="""utf-8""" )
		snake_case_		:							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      UpperCAmelCase      (		lowerCamelCase_  :Union[str, Any]				,      lowerCamelCase_  :Any				,      lowerCamelCase_  :Optional[int]				,      lowerCamelCase_  :List[Any]				,      lowerCamelCase_  :Any				,      lowerCamelCase_  :List[str]				,      lowerCamelCase_  :List[str]				,      lowerCamelCase_  :List[Any]				,      lowerCamelCase_  :Any				,      lowerCamelCase_  :Any				,      lowerCamelCase_  :List[Any]				,      lowerCamelCase_  :Optional[int]				,      ):







		'''simple docstring'''
		snake_case_		:							int			       =						{
		    """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,
		}
		snake_case_		:							Dict			       =						input_paths[compression_format]
		if input_path is None:
				snake_case_		:							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(lowerCamelCase_ )
		snake_case_		:							List[Any]			       =						Extractor.infer_extractor_format(lowerCamelCase_ )
		assert extractor_format is not None
		snake_case_		:							str			       =						tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
		Extractor.extract(lowerCamelCase_				,      lowerCamelCase_				,      lowerCamelCase_ )
		if is_archive:
				assert output_path.is_dir()
				for file_path in output_path.iterdir():
						assert file_path.name == text_file.name
						snake_case_		:							Any			       =						file_path.read_text(encoding="""utf-8""" )
		else:
				snake_case_		:							str			       =						output_path.read_text(encoding="""utf-8""" )
		snake_case_		:							str			       =						text_file.read_text(encoding="""utf-8""" )
		assert extracted_file_content == expected_file_content





@pytest.fixture
def      UpperCAmelCase      (		lowerCamelCase_  :Optional[Any]				,      lowerCamelCase_  :Optional[Any] ):







		'''simple docstring'''
		import tarfile

		snake_case_		:							List[Any]			       =						tmp_path / """data_dot_dot"""
		directory.mkdir()
		snake_case_		:							Any			       =						directory / """tar_file_with_dot_dot.tar"""
		with tarfile.TarFile(lowerCamelCase_				,      """w""" ) as f:
				f.add(lowerCamelCase_				,      arcname=os.path.join(""".."""				,      text_file.name ) )
		return path





@pytest.fixture
def      UpperCAmelCase      (		lowerCamelCase_  :Optional[Any] ):







		'''simple docstring'''
		import tarfile

		snake_case_		:							Tuple			       =						tmp_path / """data_sym_link"""
		directory.mkdir()
		snake_case_		:							int			       =						directory / """tar_file_with_sym_link.tar"""
		os.symlink(""".."""				,      directory / """subdir"""				,      target_is_directory=lowerCamelCase_ )
		with tarfile.TarFile(lowerCamelCase_				,      """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      UpperCAmelCase      (		lowerCamelCase_  :Optional[Any]				,      lowerCamelCase_  :int				,      lowerCamelCase_  :int				,      lowerCamelCase_  :Union[str, Any]				,      lowerCamelCase_  :Tuple				,      lowerCamelCase_  :Optional[Any] ):







		'''simple docstring'''
		snake_case_		:							str			       =						{
		    """tar_file_with_dot_dot""": tar_file_with_dot_dot,
		    """tar_file_with_sym_link""": tar_file_with_sym_link,
		}
		snake_case_		:							List[Any]			       =						insecure_tar_files[insecure_tar_file]
		snake_case_		:							Union[str, Any]			       =						tmp_path / """extracted"""
		TarExtractor.extract(lowerCamelCase_				,      lowerCamelCase_ )
		assert caplog.text
		for record in caplog.records:
				assert record.levelname == "ERROR"
				assert error_log in record.msg






def      UpperCAmelCase      (		lowerCamelCase_  :Optional[int] ):







		'''simple docstring'''
		# We should have less false positives than zipfile.is_zipfile
		# We do that by checking only the magic number
		snake_case_		:							Optional[int]			       =						tmpdir / """not_a_zip_file"""
		# From: https://github.com/python/cpython/pull/5053
		snake_case_		:							Tuple			       =						(
		    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(lowerCamelCase_ )
		assert zipfile.is_zipfile(str(lowerCamelCase_ ) )  # is a false positive for `zipfile`
		assert not ZipExtractor.is_extractable(lowerCamelCase_ )  # but we're right



'''simple docstring'''






import tempfile
import unittest

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.testing_utils import (
    is_torch_available,
    require_optimum,
    require_torch,
    slow,
)


if is_torch_available():
							import torch
@require_torch
@require_optimum
@slow
class 						__UpperCamelCase	(						unittest.TestCase							):





							def 		a__   (  self		:List[str]			):
									snake_case_		:							Union[str, Any]			       =						"""hf-internal-testing/tiny-random-t5"""
									snake_case_		:							str			       =						AutoTokenizer.from_pretrained(_UpperCamelCase			)
									snake_case_		:							str			       =						AutoModelForSeqaSeqLM.from_pretrained(_UpperCamelCase			)

									snake_case_		:							List[str]			       =						tokenizer("""This is me"""  ,return_tensors="""pt"""			)

									snake_case_		:							List[str]			       =						model.to_bettertransformer()

									self.assertTrue(any("""BetterTransformer""" in mod.__class__.__name__ for _, mod in model.named_modules()			)			)

									snake_case_		:							List[str]			       =						model.generate(**_UpperCamelCase			)

									snake_case_		:							Dict			       =						model.reverse_bettertransformer()

									self.assertFalse(any("""BetterTransformer""" in mod.__class__.__name__ for _, mod in model.named_modules()			)			)

									with tempfile.TemporaryDirectory() as tmpdirname:
											model.save_pretrained(_UpperCamelCase			)

											snake_case_		:							List[Any]			       =						AutoModelForSeqaSeqLM.from_pretrained(_UpperCamelCase			)

											self.assertFalse(
											    any("""BetterTransformer""" in mod.__class__.__name__ for _, mod in model_reloaded.named_modules()			)			)

											snake_case_		:							Optional[Any]			       =						model_reloaded.generate(**_UpperCamelCase			)
											self.assertTrue(torch.allclose(_UpperCamelCase  ,_UpperCamelCase			)			)





							def 		a__   (  self		:Union[str, Any]			):
									snake_case_		:							Optional[Any]			       =						"""hf-internal-testing/tiny-random-t5"""
									snake_case_		:							str			       =						AutoModelForSeqaSeqLM.from_pretrained(_UpperCamelCase			)

									snake_case_		:							List[Any]			       =						model.to_bettertransformer()

									with tempfile.TemporaryDirectory() as tmpdirname:
											with self.assertRaises(_UpperCamelCase			):
													model.save_pretrained(_UpperCamelCase			)

											snake_case_		:							Any			       =						model.reverse_bettertransformer()
											model.save_pretrained(_UpperCamelCase			)