class 			__snake_case  :




					def __init__(       self   ,	__UpperCamelCase		)					->  None:



									'''simple docstring'''







									snake_case__ :     List[str] 							=				data
									snake_case__ :     BinaryTreeNode | None 							=				None
									snake_case__ :     BinaryTreeNode | None 							=				None




def 			UpperCamelCase__						(    A__      ,			A__   )       -> BinaryTreeNode | None:
				if node is None:
								snake_case__ :     Any 							=				BinaryTreeNode(A__   )
								return node

				# binary search tree is not empty,
				# so we will insert it into the tree
				# if new_value is less than value of data in node,
				#  add it to left subtree and proceed recursively
				if new_value < node.data:
								snake_case__ :     Any 							=				insert(node.left_child      ,			A__   )
				else:
								# if new_value is greater than value of data in node,
								#  add it to right subtree and proceed recursively
								snake_case__ :     List[Any] 							=				insert(node.right_child      ,			A__   )
				return node
def 			UpperCamelCase__						(    A__   )       -> list[int]:  # if node is None,return
				if node:
								snake_case__ :     Tuple 							=				inorder(node.left_child   )
								snake_case__ :     int 							=				[*inorder_array, node.data]
								snake_case__ :     Optional[Any] 							=				inorder_array + inorder(node.right_child   )
				else:
								snake_case__ :     Tuple 							=				[]
				return inorder_array
def 			UpperCamelCase__						(    )       -> BinaryTreeNode | None:
				snake_case__ :     List[str] 							=				insert(A__      ,			15   )
				insert(A__      ,			10   )
				insert(A__      ,			25   )
				insert(A__      ,			6   )
				insert(A__      ,			14   )
				insert(A__      ,			20   )
				insert(A__      ,			60   )
				return root
def 			UpperCamelCase__						(    )       -> None:
				# main function
				snake_case__ :     Dict 							=				make_tree()
				print('Printing values of binary search tree in Inorder Traversal.'   )
				inorder(A__   )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()



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 			__snake_case  (      unittest.TestCase     ):




					def       __a      (       self		)					->  Union[str, Any]:



									'''simple docstring'''







									snake_case__ :     List[Any] 							=				inspect.getfile(accelerate.test_utils		)
									snake_case__ :     Tuple 							=				os.path.sep.join(mod_file.split(os.path.sep		)[:-1] + ['scripts', 'test_sync.py']		)




					@require_cpu
					def       __a      (       self		)					->  int:



									'''simple docstring'''







									debug_launcher(test_sync.main   ,	num_processes=1		)




					@require_cpu
					def       __a      (       self		)					->  Dict:



									'''simple docstring'''







									debug_launcher(test_sync.main		)




					@require_single_gpu
					def       __a      (       self		)					->  int:



									'''simple docstring'''







									test_sync.main()




					@require_multi_gpu
					def       __a      (       self		)					->  str:



									'''simple docstring'''







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


