"""simple docstring"""



import re

def    _A(		lowerCAmelCase       ):
							def docstring_decorator(lowerCAmelCase       ):
														A__					:    Optional[int]														= fn.__doc__
														A__					:    str														= func_doc.split("""\n"""       )
														A__					:    str														= 0
														while i < len(lowerCAmelCase       ) and re.search(r"""^\s*Examples?:\s*$""" ,     lines[i]       ) is None:
																					i += 1
														if i < len(lowerCAmelCase       ):
																					A__					:    Union[str, Any]														= example_docstring
																					A__					:    Union[str, Any]														= """\n""".join(lowerCAmelCase       )
														else:
																					raise ValueError(
																					    F'''The function {fn} should have an empty \'Examples:\' in its docstring as placeholder, '''
																					    F'''current docstring is:\n{func_doc}'''       )
														A__					:    int														= func_doc
														return fn

							return docstring_decorator






"""simple docstring"""



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_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment
class 	__UpperCAmelCase						(unittest.TestCase    ):







			'''simple docstring'''





			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										A__					:    Optional[int]														= inspect.getfile(accelerate.test_utils       )
										A__					:    Tuple														= os.path.sep.join(mod_file.split(os.path.sep       )[:-1] + ["""scripts""", """test_sync.py"""]       )





			@require_cpu
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										debug_launcher(test_sync.main      ,			num_processes=1       )





			@require_cpu
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										debug_launcher(test_sync.main       )





			@require_single_gpu
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										test_sync.main()





			@require_multi_gpu
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										print(F'''Found {torch.cuda.device_count()} devices.'''       )
										A__					:    List[str]														= ["""torchrun""", F'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
										with patch_environment(omp_num_threads=1       ):
																	execute_subprocess_async(snake_case_      ,			env=os.environ.copy()       )





