


from __future__ import annotations

import queue







class 			_lowercase :


       """simple docstring"""




       def __init__(   self							:			List[str]					,      __lowerCamelCase							:			Tuple       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[int]    =  data
             lowerCamelCase__		:				Dict    =  None
             lowerCamelCase__		:				Dict    =  None



def       lowercase_		(		):

      """simple docstring"""




      print("\n********Press N to stop entering at any point of time********\n"						)
      lowerCamelCase__		:				Union[str, Any]    =  input("Enter the value of the root node: "						).strip().lower()
      lowerCamelCase__		:				queue.Queue    =  queue.Queue()
      lowerCamelCase__		:				int    =  TreeNode(int(_snake_case						)						)
      q.put(_snake_case						)
      while not q.empty():
            lowerCamelCase__		:				Dict    =  q.get()
            lowerCamelCase__		:				Any    =  F"Enter the left node of {node_found.data}: "
            lowerCamelCase__		:				List[Any]    =  input(_snake_case						).strip().lower() or """n"""
            if check == "n":
                  return tree_node
            lowerCamelCase__		:				Union[str, Any]    =  TreeNode(int(_snake_case						)						)
            lowerCamelCase__		:				List[Any]    =  left_node
            q.put(_snake_case						)
            lowerCamelCase__		:				int    =  F"Enter the right node of {node_found.data}: "
            lowerCamelCase__		:				Union[str, Any]    =  input(_snake_case						).strip().lower() or """n"""
            if check == "n":
                  return tree_node
            lowerCamelCase__		:				Any    =  TreeNode(int(_snake_case						)						)
            lowerCamelCase__		:				str    =  right_node
            q.put(_snake_case						)
      raise

def       lowercase_		(		_A			:    str						):

      """simple docstring"""




      if not isinstance(_snake_case    ,					_snake_case						) or not node:
            return
      print(node.data    ,					end=","						)
      pre_order(node.left						)
      pre_order(node.right						)

def       lowercase_		(		_A			:    str						):

      """simple docstring"""




      if not isinstance(_snake_case    ,					_snake_case						) or not node:
            return
      in_order(node.left						)
      print(node.data    ,					end=","						)
      in_order(node.right						)

def       lowercase_		(		_A			:    Optional[int]						):

      """simple docstring"""




      if not isinstance(_snake_case    ,					_snake_case						) or not node:
            return
      post_order(node.left						)
      post_order(node.right						)
      print(node.data    ,					end=","						)

def       lowercase_		(		_A			:    Dict						):

      """simple docstring"""




      if not isinstance(_snake_case    ,					_snake_case						) or not node:
            return
      lowerCamelCase__		:				queue.Queue    =  queue.Queue()
      q.put(_snake_case						)
      while not q.empty():
            lowerCamelCase__		:				int    =  q.get()
            print(node_dequeued.data    ,					end=","						)
            if node_dequeued.left:
                  q.put(node_dequeued.left						)
            if node_dequeued.right:
                  q.put(node_dequeued.right						)

def       lowercase_		(		_A			:    Any						):

      """simple docstring"""




      if not isinstance(_snake_case    ,					_snake_case						) or not node:
            return
      lowerCamelCase__		:				queue.Queue    =  queue.Queue()
      q.put(_snake_case						)
      while not q.empty():
            lowerCamelCase__		:				int    =  []
            while not q.empty():
                  lowerCamelCase__		:				List[Any]    =  q.get()
                  print(node_dequeued.data    ,					end=","						)
                  if node_dequeued.left:
                        list_.append(node_dequeued.left						)
                  if node_dequeued.right:
                        list_.append(node_dequeued.right						)
            print()
            for node in list_:
                  q.put(_snake_case						)

def       lowercase_		(		_A			:    Any						):

      """simple docstring"""




      if not isinstance(_snake_case    ,					_snake_case						) or not node:
            return
      lowerCamelCase__		:				list[TreeNode]    =  []
      lowerCamelCase__		:				str    =  node
      while n or stack:
            while n:  # start from root node, find its left child
                  print(n.data    ,					end=","						)
                  stack.append(_snake_case						)
                  lowerCamelCase__		:				Optional[Any]    =  n.left
            # end of while means current node doesn't have left child
            lowerCamelCase__		:				Tuple    =  stack.pop()
            # start to traverse its right child
            lowerCamelCase__		:				Dict    =  n.right

def       lowercase_		(		_A			:    Optional[int]						):

      """simple docstring"""




      if not isinstance(_snake_case    ,					_snake_case						) or not node:
            return
      lowerCamelCase__		:				list[TreeNode]    =  []
      lowerCamelCase__		:				Dict    =  node
      while n or stack:
            while n:
                  stack.append(_snake_case						)
                  lowerCamelCase__		:				str    =  n.left
            lowerCamelCase__		:				int    =  stack.pop()
            print(n.data    ,					end=","						)
            lowerCamelCase__		:				Union[str, Any]    =  n.right

def       lowercase_		(		_A			:    Dict						):

      """simple docstring"""




      if not isinstance(_snake_case    ,					_snake_case						) or not node:
            return
      lowerCamelCase__		:				Tuple    =  [], []
      lowerCamelCase__		:				Union[str, Any]    =  node
      stacka.append(_snake_case						)
      while stacka:  # to find the reversed order of post order, store it in stack2
            lowerCamelCase__		:				Optional[Any]    =  stacka.pop()
            if n.left:
                  stacka.append(n.left						)
            if n.right:
                  stacka.append(n.right						)
            stacka.append(_snake_case						)
      while stacka:  # pop up from stack2 will be the post order
            print(stacka.pop().data    ,					end=","						)

def       lowercase_		(		_A			:    List[str] = ""    ,					_A			:    Any=50    ,					_A			:    List[Any]="*"						):

      """simple docstring"""




      if not s:
            return "\n" + width * char
      lowerCamelCase__		:				List[str]    =  divmod(width - len(_snake_case						) - 2    ,					2						)
      return F"{left * char} {s} {(left + extra) * char}"


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    print(prompt("Binary Tree Traversals"))

    A      :    TreeNode		=					build_tree()
    print(prompt("Pre Order Traversal"))
    pre_order(node)
    print(prompt() + "\n")

    print(prompt("In Order Traversal"))
    in_order(node)
    print(prompt() + "\n")

    print(prompt("Post Order Traversal"))
    post_order(node)
    print(prompt() + "\n")

    print(prompt("Level Order Traversal"))
    level_order(node)
    print(prompt() + "\n")

    print(prompt("Actual Level Order Traversal"))
    level_order_actual(node)
    print("*" * 50 + "\n")

    print(prompt("Pre Order Traversal - Iteration Version"))
    pre_order_iter(node)
    print(prompt() + "\n")

    print(prompt("In Order Traversal - Iteration Version"))
    in_order_iter(node)
    print(prompt() + "\n")

    print(prompt("Post Order Traversal - Iteration Version"))
    post_order_iter(node)
    print(prompt())




"""simple docstring"""




import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp

def lowercase_  (   ):
							SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   ArgumentParser(
							    description=(
							        """PyTorch TPU distributed training launch """
							        """helper utility that will spawn up """
							        """multiple distributed processes"""
							    )						)

							# Optional arguments for the launch helper
							parser.add_argument("""--num_cores"""   ,type=_snake_case   ,default=1   ,help="""Number of TPU cores to use (1 or 8)."""						)

							# positional
							parser.add_argument(
							    """training_script"""   ,type=_snake_case   ,help=(
							        """The full path to the single TPU training """
							        """program/script to be launched in parallel, """
							        """followed by all the arguments for the """
							        """training script"""
							    )   ,)

							# rest from the training program
							parser.add_argument("""training_script_args"""   ,nargs=_snake_case						)

							return parser.parse_args()

def lowercase_  (   ):
							SCREAMING_SNAKE_CASE__						:       int           =   parse_args()

							# Import training_script as a module.
							SCREAMING_SNAKE_CASE__						:       Dict           =   Path(args.training_script						)
							sys.path.append(str(script_fpath.parent.resolve()						)						)
							SCREAMING_SNAKE_CASE__						:       int           =   script_fpath.stem
							SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   importlib.import_module(_snake_case						)

							# Patch sys.argv
							SCREAMING_SNAKE_CASE__						:       str           =   [args.training_script] + args.training_script_args + ["""--tpu_num_cores""", str(args.num_cores						)]
							xmp.spawn(mod._mp_fn   ,args=()   ,nprocs=args.num_cores						)


if __name__ == "__main__":
					main()




