"""simple docstring"""



from __future__ import annotations

def    _A(		lowerCAmelCase ,     lowerCAmelCase ,     lowerCAmelCase       ):
							if len(lowerCAmelCase       ) == 0:
														raise ValueError("""find_min() arg is an empty sequence"""       )
							if (
							    left >= len(lowerCAmelCase       )
							    or left < -len(lowerCAmelCase       )
							    or right >= len(lowerCAmelCase       )
							    or right < -len(lowerCAmelCase       )
							):
														raise IndexError("""list index out of range"""       )
							if left == right:
														return nums[left]
							A__					:    Any														= (left + right) >> 1  # the middle
							A__					:    Dict														= find_min(lowerCAmelCase ,     lowerCAmelCase ,     lowerCAmelCase       )  # find min in range[left, mid]
							A__					:    Any														= find_min(lowerCAmelCase ,     mid + 1 ,     lowerCAmelCase       )  # find min in range[mid + 1, right]

							return left_min if left_min <= right_min else right_min


if __name__ == "__main__":
	import doctest

	doctest.testmod(verbose=True)






"""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()       )





