"""simple docstring"""







import json
import logging
import os
import subprocess
from argparse import ArgumentParser


UpperCamelCase_    :    Optional[Any]											=						logging.getLogger(__name__)


def 					a__ (						)->		Optional[int]:
						UpperCAmelCase__		=						ArgumentParser()
						UpperCAmelCase__		, UpperCAmelCase__		=						parser.parse_known_args()
						for arg in unknown:
												if arg.startswith(("""-""", """--""")     ):
																		parser.add_argument(arg.split("""="""     )[0]     )

						return parser.parse_args()


def 					a__ (						)->		str:
						UpperCAmelCase__		=						parse_args()
						UpperCAmelCase__		=						8_8_8_8
						UpperCAmelCase__		=						int(os.environ["""SM_NUM_GPUS"""]     )
						UpperCAmelCase__		=						json.loads(os.environ["""SM_HOSTS"""]     )
						UpperCAmelCase__		=						len(UpperCAmelCase__     )
						UpperCAmelCase__		=						os.environ["""SM_CURRENT_HOST"""]
						UpperCAmelCase__		=						hosts.index(UpperCAmelCase__     )
						UpperCAmelCase__		=						"""INFO"""

						if num_nodes > 1:
												UpperCAmelCase__		=						f'python -m torch.distributed.launch \\n                --nnodes={num_nodes}  \\n                --node_rank={rank}  \\n                --nproc_per_node={num_gpus}  \\n                --master_addr={hosts[0]}  \\n                --master_port={port} \\n                ./run_glue.py \\n                {"".join(["nested fstring" for parameter,value in args.__dict__.items()]     )}'
						else:
												UpperCAmelCase__		=						f'python -m torch.distributed.launch \\n            --nproc_per_node={num_gpus}  \\n            ./run_glue.py \\n            {"".join(["nested fstring" for parameter,value in args.__dict__.items()]     )}'
						try:
												subprocess.run(UpperCAmelCase__						,     shell=UpperCAmelCase__     )
						except Exception as e:
												logger.info(UpperCAmelCase__     )


if __name__ == "__main__":
						main()


"""simple docstring"""







class      _lowercase						:

				def __init__(       self    :      Tuple    ,      _lowercase    :      int       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						data
										UpperCAmelCase__   		=						None
										UpperCAmelCase__   		=						None


def 					a__ (						UpperCAmelCase__    :     BinaryTreeNode | None						,     UpperCAmelCase__    :     int     )->		BinaryTreeNode | None:
						if node is None:
												UpperCAmelCase__   		=						BinaryTreeNode(UpperCAmelCase__     )
												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:
												UpperCAmelCase__   		=						insert(node.left_child						,     UpperCAmelCase__     )
						else:
												# if new_value is greater than value of data in node,
												#  add it to right subtree and proceed recursively
												UpperCAmelCase__   		=						insert(node.right_child						,     UpperCAmelCase__     )
						return node


def 					a__ (						UpperCAmelCase__    :     None | BinaryTreeNode     )->		list[int]:  # if node is None,return
						if node:
												UpperCAmelCase__   		=						inorder(node.left_child     )
												UpperCAmelCase__   		=						[*inorder_array, node.data]
												UpperCAmelCase__   		=						inorder_array + inorder(node.right_child     )
						else:
												UpperCAmelCase__   		=						[]
						return inorder_array


def 					a__ (						)->		BinaryTreeNode | None:
						UpperCAmelCase__   		=						insert(UpperCAmelCase__						,     1_5     )
						insert(UpperCAmelCase__						,     1_0     )
						insert(UpperCAmelCase__						,     2_5     )
						insert(UpperCAmelCase__						,     6     )
						insert(UpperCAmelCase__						,     1_4     )
						insert(UpperCAmelCase__						,     2_0     )
						insert(UpperCAmelCase__						,     6_0     )
						return root


def 					a__ (						)->		None:
						# main function
						UpperCAmelCase__   		=						make_tree()
						print("""Printing values of binary search tree in Inorder Traversal."""     )
						inorder(UpperCAmelCase__     )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()

