


'''simple docstring'''







import sys


def      SCREAMING_SNAKE_CASE_ (  _UpperCAmelCase     :     int   ,_UpperCAmelCase     :     list[int]  )  ->      int:
       if not numbers:
              return 0
       if target == 0 and target in numbers:
              return 0
       if not isinstance(_UpperCAmelCase   ,(list, tuple)  ) or not all(
           isinstance(_UpperCAmelCase   ,_UpperCAmelCase  ) for number in numbers  ):
              raise ValueError("""numbers must be an iterable of integers"""  )

       _a   :			List[Any]					 =0
       _a   :			Union[str, Any]					 =sys.maxsize

       while right < len(_UpperCAmelCase  ):
              curr_sum += numbers[right]
              while curr_sum >= target and left <= right:
                     _a   :			Any					 =min(_UpperCAmelCase   ,right - left + 1  )
                     curr_sum -= numbers[left]
                     left += 1
              right += 1

       return 0 if min_len == sys.maxsize else min_len






'''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 A__	(						unittest.TestCase				):






      def __UpperCAmelCase	(			self      :List[Any]     )	-> List[str]:




             '''simple docstring'''
             _a   :			Union[str, Any]					 =inspect.getfile(accelerate.test_utils     )
             _a   :			Any					 =os.path.sep.join(mod_file.split(os.path.sep     )[:-1] + ["""scripts""", """test_sync.py"""]     )






      @require_cpu
      def __UpperCAmelCase	(			self      :List[str]     )	-> Optional[Any]:




             '''simple docstring'''
             debug_launcher(test_sync.main					,						num_processes=1     )






      @require_cpu
      def __UpperCAmelCase	(			self      :int     )	-> Union[str, Any]:




             '''simple docstring'''
             debug_launcher(test_sync.main     )






      @require_single_gpu
      def __UpperCAmelCase	(			self      :Any     )	-> Optional[int]:




             '''simple docstring'''
             test_sync.main()






      @require_multi_gpu
      def __UpperCAmelCase	(			self      :Optional[Any]     )	-> int:




             '''simple docstring'''
             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(SCREAMING_SNAKE_CASE					,						env=os.environ.copy()     )


