
"""simple docstring"""







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 							__magic_name__     (		unittest.TestCase   ):





					def 							lowerCAmelCase      (				self   :							Union[str, Any]    ):
												__snake_case     			=       inspect.getfile(accelerate.test_utils    )
												__snake_case     			=       os.path.sep.join(mod_file.split(os.path.sep    )[:-1] + ["scripts", "test_script.py"]    )
												__snake_case     			=       os.path.sep.join(
												    mod_file.split(os.path.sep    )[:-1] + ["scripts", "test_distributed_data_loop.py"]    )
												__snake_case     			=       os.path.sep.join(mod_file.split(os.path.sep    )[:-1] + ["scripts", "test_ops.py"]    )





					@require_multi_gpu
					def 							lowerCAmelCase      (				self   :							List[str]    ):
												print(F'''Found {torch.cuda.device_count()} devices.'''    )
												__snake_case     			=       ["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()    )





					@require_multi_gpu
					def 							lowerCAmelCase      (				self   :							List[Any]    ):
												print(F'''Found {torch.cuda.device_count()} devices.'''    )
												__snake_case     			=       ["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(snake_case_							,						env=os.environ.copy()    )





					@require_multi_gpu
					def 							lowerCAmelCase      (				self   :							Dict    ):
												__snake_case     			=       ["torchrun", F'''--nproc_per_node={torch.cuda.device_count()}''', inspect.getfile(self.__class__    )]
												with patch_environment(omp_num_threads=1    ):
																			execute_subprocess_async(snake_case_							,						env=os.environ.copy()    )





					@require_multi_gpu
					def 							lowerCAmelCase      (				self   :							Any    ):
												print(F'''Found {torch.cuda.device_count()} devices, using 2 devices only'''    )
												__snake_case     			=       ["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(snake_case_							,						env=os.environ.copy()    )


if __name__ == "__main__":
		_SCREAMING_SNAKE_CASE	       =      Accelerator()
		_SCREAMING_SNAKE_CASE	       =      (accelerator.state.process_index + 2, 10)
		_SCREAMING_SNAKE_CASE	       =      torch.randint(0, 10, shape).to(accelerator.device)

		_SCREAMING_SNAKE_CASE	       =      """"""

		_SCREAMING_SNAKE_CASE	       =      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)."

		_SCREAMING_SNAKE_CASE	       =      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."
		_SCREAMING_SNAKE_CASE	       =      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)


"""simple docstring"""







def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     list:







							"""simple docstring"""


							__snake_case     			=       len(SCREAMING_SNAKE_CASE )
							for i in range(1							,    SCREAMING_SNAKE_CASE ):
														__snake_case     			=       collection[i]
														__snake_case     			=       0
														__snake_case     			=       i - 1

														while low <= high:
																					__snake_case     			=       (low + high) // 2
																					if val < collection[mid]:
																												__snake_case     			=       mid - 1
																					else:
																												__snake_case     			=       mid + 1
														for j in range(SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    -1 ):
																					__snake_case     			=       collection[j - 1]
														__snake_case     			=       val
							return collection


if __name__ == "__main__":
		_SCREAMING_SNAKE_CASE	       =      input("""Enter numbers separated by a comma:\n""").strip()
		_SCREAMING_SNAKE_CASE	       =      [int(item) for item in user_input.split(""",""")]
		print(binary_insertion_sort(unsorted))
