

import inspect
import os
import unittest

import torch

import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment

class     a__  (    unittest.TestCase	):
			"""simple docstring"""







			def    UpperCamelCase						(			self				)     ->  int:
							'''simple docstring'''






							A__						=	inspect.getfile(accelerate.test_utils				)
							A__						=	os.path.sep.join(mod_file.split(os.path.sep				)[:-1] + ["scripts", "test_script.py"]				)
							A__						=	os.path.sep.join(
							    mod_file.split(os.path.sep				)[:-1] + ["scripts", "test_distributed_data_loop.py"]				)
							A__						=	os.path.sep.join(mod_file.split(os.path.sep				)[:-1] + ["scripts", "test_ops.py"]				)


			@require_multi_gpu
			def    UpperCamelCase						(			self				)     ->  Union[str, Any]:
							'''simple docstring'''






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


			@require_multi_gpu
			def    UpperCamelCase						(			self				)     ->  Dict:
							'''simple docstring'''






							print(F'Found {torch.cuda.device_count()} devices.'				)
							A__						=	['torchrun', F'--nproc_per_node={torch.cuda.device_count()}', self.operation_file_path]
							print(F'Command: {cmd}'				)
							with patch_environment(omp_num_threads=1				):
											execute_subprocess_async(lowerCAmelCase__					,					env=os.environ.copy()				)


			@require_multi_gpu
			def    UpperCamelCase						(			self				)     ->  Optional[Any]:
							'''simple docstring'''






							A__						=	['torchrun', F'--nproc_per_node={torch.cuda.device_count()}', inspect.getfile(self.__class__				)]
							with patch_environment(omp_num_threads=1				):
											execute_subprocess_async(lowerCAmelCase__					,					env=os.environ.copy()				)


			@require_multi_gpu
			def    UpperCamelCase						(			self				)     ->  Tuple:
							'''simple docstring'''






							print(F'Found {torch.cuda.device_count()} devices, using 2 devices only'				)
							A__						=	['torchrun', F'--nproc_per_node={torch.cuda.device_count()}', self.data_loop_file_path]
							with patch_environment(omp_num_threads=1					,					cuda_visible_devices="0,1"				):
											execute_subprocess_async(lowerCAmelCase__					,					env=os.environ.copy()				)


if __name__ == "__main__":
	lowerCAmelCase__		      =       Accelerator()
	lowerCAmelCase__		      =       (accelerator.state.process_index + 2, 1_0)
	lowerCAmelCase__		      =       torch.randint(0, 1_0, shape).to(accelerator.device)

	lowerCAmelCase__		      =       """"""

	lowerCAmelCase__		      =       accelerator.pad_across_processes(tensor)
	if tensora.shape[0] != accelerator.state.num_processes + 1:
		error_msg += f"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
	if not torch.equal(tensora[: accelerator.state.process_index + 2], tensor):
		error_msg += "Tensors have different values."
	if not torch.all(tensora[accelerator.state.process_index + 2 :] == 0):
		error_msg += "Padding was not done with the right value (0)."

	lowerCAmelCase__		      =       accelerator.pad_across_processes(tensor, pad_first=True)
	if tensora.shape[0] != accelerator.state.num_processes + 1:
		error_msg += f"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
	lowerCAmelCase__		      =       accelerator.state.num_processes - accelerator.state.process_index - 1
	if not torch.equal(tensora[index:], tensor):
		error_msg += "Tensors have different values."
	if not torch.all(tensora[:index] == 0):
		error_msg += "Padding was not done with the right value (0)."

	# Raise error at the end to make sure we don't stop at the first failure.
	if len(error_msg) > 0:
		raise ValueError(error_msg)





from __future__ import annotations




def    snake_case_     (  snake_case			,							snake_case     )  ->				list[int]:
       lowercase__:   List[str]  			=   0
       lowercase__:   Dict  			=   len(snake_case     ) - 1

       while i < j:
              if nums[i] + nums[j] == target:
                     return [i, j]
              elif nums[i] + nums[j] < target:
                     lowercase__:   Dict  			=   i + 1
              else:
                     lowercase__:   List[Any]  			=   j - 1

       return []


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(F'''{two_pointer([2, 7, 11, 15], 9) = }''')


