






'''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       ( __magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__     ,__magic_name__     ,)->    Optional[int]:



			"""simple docstring"""



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



			"""simple docstring"""



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

@pytest.fixture
def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__						)->    str:



			"""simple docstring"""



			import tarfile

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

@pytest.fixture
def 	__UpperCAmelCase       ( __magic_name__						)->    Optional[Any]:



			"""simple docstring"""



			import tarfile

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



			"""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_				:					str   =       insecure_tar_files[insecure_tar_file]
			snake_case_				:					List[Any]   =       tmp_path / "extracted"
			TarExtractor.extract(__magic_name__     ,__magic_name__						)
			assert caplog.text
			for record in caplog.records:
						assert record.levelname == "ERROR"
						assert error_log in record.msg






def 	__UpperCAmelCase       ( __magic_name__						)->    str:



			"""simple docstring"""



			snake_case_				:					Union[str, Any]   =       tmpdir / "not_a_zip_file"
			# From: https://github.com/python/cpython/pull/5053
			snake_case_				:					Union[str, 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(__magic_name__						)
			assert zipfile.is_zipfile(str(__magic_name__						)						)  # is a false positive for `zipfile`
			assert not ZipExtractor.is_extractable(__magic_name__						)  # but we're right












'''simple docstring'''




import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu







@require_cpu
class    A_	(unittest.TestCase							):
							"""simple docstring"""




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


										'''simple docstring'''




										snake_case_				:					Union[str, Any]   =       torch.nn.Linear(10       ,							10				)
										snake_case_				:					Dict   =       torch.optim.SGD(model.parameters()       ,							0.1				)
										snake_case_				:					Tuple   =       Accelerator()
										snake_case_				:					Optional[Any]   =       accelerator.prepare(lowerCAmelCase__				)
										try:
													pickle.loads(pickle.dumps(lowerCAmelCase__				)				)
										except Exception as e:
													self.fail(F'''Accelerated optimizer pickling failed with {e}'''				)
										AcceleratorState._reset_state()




