
import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


_SCREAMING_SNAKE_CASE    :      List[str]          =			'\\n    Text data.\n    Second line of data.'

_SCREAMING_SNAKE_CASE    :      Dict          =			'file'

@pytest.fixture(scope='''session'''       )
def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Dict       ):

				"""simple docstring"""







				A__  :	Dict         =							tmp_path_factory.mktemp('''data'''       ) / (FILE_PATH + '''.zstd''')
				A__  :	Dict         =							bytes(lowerCAmelCase_							,						'''utf-8'''       )
				with zstd.open(lowerCAmelCase_							,						'''wb'''       ) as f:
								f.write(lowerCAmelCase_       )
				return path

@pytest.fixture
def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Optional[Any]       ):

				"""simple docstring"""







				with open(os.path.join(tmpfs.local_root_dir							,						lowerCAmelCase_       )							,						'''w'''       ) as f:
								f.write(lowerCAmelCase_       )
				return FILE_PATH

@pytest.mark.parametrize('''compression_format'''							,						['''gzip''', '''xz''', '''zstd''']       )
def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Any							,						__UpperCamelCase :						Optional[Any]							,						__UpperCamelCase :						Optional[int]							,						__UpperCamelCase :						Optional[int]							,						__UpperCamelCase :						Union[str, Any]							,						__UpperCamelCase :						int       ):

				"""simple docstring"""







				A__  :	List[Any]         =							{'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
				A__  :	Optional[Any]         =							input_paths[compression_format]
				A__  :	str         =							tmp_path / '''cache'''
				A__  :	int         =							DownloadConfig(cache_dir=lowerCAmelCase_							,						extract_compressed_file=lowerCAmelCase_       )
				A__  :	Optional[Any]         =							cached_path(lowerCAmelCase_							,						download_config=lowerCAmelCase_       )
				with open(lowerCAmelCase_       ) as f:
								A__  :	List[str]         =							f.read()
				with open(lowerCAmelCase_       ) as f:
								A__  :	str         =							f.read()
				assert extracted_file_content == expected_file_content

@pytest.mark.parametrize('''default_extracted'''							,						[True, False]       )
@pytest.mark.parametrize('''default_cache_dir'''							,						[True, False]       )
def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Tuple							,						__UpperCamelCase :						Union[str, Any]							,						__UpperCamelCase :						int							,						__UpperCamelCase :						Tuple							,						__UpperCamelCase :						Any       ):

				"""simple docstring"""







				A__  :	Union[str, Any]         =							'''custom_cache'''
				A__  :	int         =							'''custom_extracted_dir'''
				A__  :	Dict         =							tmp_path / '''custom_extracted_path'''
				if default_extracted:
								A__  :	Dict         =							('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
				else:
								monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_DIR'''							,						lowerCAmelCase_       )
								monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''							,						str(lowerCAmelCase_       )       )
								A__  :	List[Any]         =							custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

				A__  :	Optional[int]         =							xz_file
				A__  :	Union[str, Any]         =							(
				    DownloadConfig(extract_compressed_file=lowerCAmelCase_       )
				    if default_cache_dir
				    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir							,						extract_compressed_file=lowerCAmelCase_       )
				)
				A__  :	str         =							cached_path(lowerCAmelCase_							,						download_config=lowerCAmelCase_       )
				assert Path(lowerCAmelCase_       ).parent.parts[-2:] == expected

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Optional[int]       ):

				"""simple docstring"""







				A__  :	Dict         =							str(Path(lowerCAmelCase_       ).resolve()       )
				assert cached_path(lowerCAmelCase_       ) == text_file
				# relative path
				A__  :	Optional[int]         =							str(Path(lowerCAmelCase_       ).resolve().relative_to(Path(os.getcwd()       )       )       )
				assert cached_path(lowerCAmelCase_       ) == text_file

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						str       ):

				"""simple docstring"""







				A__  :	str         =							str(tmp_path.resolve() / '''__missing_file__.txt'''       )
				with pytest.raises(lowerCAmelCase_       ):
								cached_path(lowerCAmelCase_       )
				# relative path
				A__  :	Optional[Any]         =							'''./__missing_file__.txt'''
				with pytest.raises(lowerCAmelCase_       ):
								cached_path(lowerCAmelCase_       )

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						int       ):

				"""simple docstring"""







				A__  :	str         =							get_from_cache(F"tmp://{tmpfs_file}"       )
				with open(lowerCAmelCase_       ) as f:
								A__  :	Dict         =							f.read()
				assert output_file_content == FILE_CONTENT

@patch('''datasets.config.HF_DATASETS_OFFLINE'''							,						lowerCAmelCase_       )
def 				SCREAMING_SNAKE_CASE     (      ):

				"""simple docstring"""







				with pytest.raises(lowerCAmelCase_       ):
								cached_path('''https://huggingface.co'''       )

@patch('''datasets.config.HF_DATASETS_OFFLINE'''							,						lowerCAmelCase_       )
def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						str       ):

				"""simple docstring"""







				A__  :	Union[str, Any]         =							tmp_path_factory.mktemp('''data'''       ) / '''file.html'''
				with pytest.raises(lowerCAmelCase_       ):
								http_get('''https://huggingface.co'''							,						temp_file=lowerCAmelCase_       )
				with pytest.raises(lowerCAmelCase_       ):
								http_head('''https://huggingface.co'''       )

@patch('''datasets.config.HF_DATASETS_OFFLINE'''							,						lowerCAmelCase_       )
def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Tuple       ):

				"""simple docstring"""







				A__  :	Optional[Any]         =							tmp_path_factory.mktemp('''data'''       ) / '''file.html'''
				with pytest.raises(lowerCAmelCase_       ):
								ftp_get('''ftp://huggingface.co'''							,						temp_file=lowerCAmelCase_       )
				with pytest.raises(lowerCAmelCase_       ):
								ftp_head('''ftp://huggingface.co'''       )



@patch('''datasets.config.HF_DATASETS_OFFLINE'''							,						lowerCAmelCase_       )
def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Optional[int]       ):

				"""simple docstring"""







				A__  :	Optional[Any]         =							tmp_path_factory.mktemp('''data'''       ) / '''file.html'''
				with pytest.raises(lowerCAmelCase_       ):
								fsspec_get('''s3://huggingface.co'''							,						temp_file=lowerCAmelCase_       )
				with pytest.raises(lowerCAmelCase_       ):
								fsspec_head('''s3://huggingface.co'''       )

import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment







@require_huggingface_suite
class  UpperCamelCase__		(    unittest.TestCase   ):







	'''simple docstring'''





	def   __snake_case				(			self		):
					A__  :	Dict         =							inspect.getfile(accelerate.test_utils		)
					A__  :	Any         =							os.path.sep.join(
					    mod_file.split(os.path.sep		)[:-1] + ['''scripts''', '''external_deps''', '''test_metrics.py''']		)

					from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

					A__  :	Tuple         =							test_metrics





	@require_cpu
	def   __snake_case				(			self		):
					debug_launcher(self.test_metrics.main				,       num_processes=1		)





	@require_cpu
	def   __snake_case				(			self		):
					debug_launcher(self.test_metrics.main		)





	@require_single_gpu
	def   __snake_case				(			self		):
					self.test_metrics.main()





	@require_multi_gpu
	def   __snake_case				(			self		):
					print(F"Found {torch.cuda.device_count()} devices."		)
					A__  :	int         =							['''torchrun''', F"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
					with patch_environment(omp_num_threads=1		):
									execute_subprocess_async(UpperCamelCase__				,       env=os.environ.copy()		)