


'''simple docstring'''




from __future__ import annotations

import queue




class 			_lowercase :
   def __init__(						self       :      Dict       ,   SCREAMING_SNAKE_CASE_       :      Any      ) ->							int:
        __snake_case           =						data
        __snake_case           =						None
        __snake_case           =						None





def   _a		()			->			TreeNode:






     """simple docstring"""
     print('\n********Press N to stop entering at any point of time********\n'						)
     __snake_case           =						input('Enter the value of the root node: '						).strip().lower()
     __snake_case           =						queue.Queue()
     __snake_case           =						TreeNode(int(lowercase__						)						)
     q.put(lowercase__						)
     while not q.empty():
          __snake_case           =						q.get()
          __snake_case           =						f'Enter the left node of {node_found.data}: '
          __snake_case           =						input(lowercase__						).strip().lower() or 'n'
          if check == "n":
               return tree_node
          __snake_case           =						TreeNode(int(lowercase__						)						)
          __snake_case           =						left_node
          q.put(lowercase__						)
          __snake_case           =						f'Enter the right node of {node_found.data}: '
          __snake_case           =						input(lowercase__						).strip().lower() or 'n'
          if check == "n":
               return tree_node
          __snake_case           =						TreeNode(int(lowercase__						)						)
          __snake_case           =						right_node
          q.put(lowercase__						)
     raise





def   _a		(lowercase__			:   TreeNode						)			->			None:






     """simple docstring"""
     if not isinstance(lowercase__							,   lowercase__						) or not node:
          return
     print(node.data							,   end=','						)
     pre_order(node.left						)
     pre_order(node.right						)





def   _a		(lowercase__			:   TreeNode						)			->			None:






     """simple docstring"""
     if not isinstance(lowercase__							,   lowercase__						) or not node:
          return
     in_order(node.left						)
     print(node.data							,   end=','						)
     in_order(node.right						)





def   _a		(lowercase__			:   TreeNode						)			->			None:






     """simple docstring"""
     if not isinstance(lowercase__							,   lowercase__						) or not node:
          return
     post_order(node.left						)
     post_order(node.right						)
     print(node.data							,   end=','						)





def   _a		(lowercase__			:   TreeNode						)			->			None:






     """simple docstring"""
     if not isinstance(lowercase__							,   lowercase__						) or not node:
          return
     __snake_case           =						queue.Queue()
     q.put(lowercase__						)
     while not q.empty():
          __snake_case           =						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   _a		(lowercase__			:   TreeNode						)			->			None:






     """simple docstring"""
     if not isinstance(lowercase__							,   lowercase__						) or not node:
          return
     __snake_case           =						queue.Queue()
     q.put(lowercase__						)
     while not q.empty():
          __snake_case           =						[]
          while not q.empty():
               __snake_case           =						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(lowercase__						)





def   _a		(lowercase__			:   TreeNode						)			->			None:






     """simple docstring"""
     if not isinstance(lowercase__							,   lowercase__						) or not node:
          return
     __snake_case           =						[]
     __snake_case           =						node
     while n or stack:
          while n:  # start from root node, find its left child
               print(n.data							,   end=','						)
               stack.append(lowercase__						)
               __snake_case           =						n.left
          # end of while means current node doesn't have left child
          __snake_case           =						stack.pop()
          # start to traverse its right child
          __snake_case           =						n.right





def   _a		(lowercase__			:   TreeNode						)			->			None:






     """simple docstring"""
     if not isinstance(lowercase__							,   lowercase__						) or not node:
          return
     __snake_case           =						[]
     __snake_case           =						node
     while n or stack:
          while n:
               stack.append(lowercase__						)
               __snake_case           =						n.left
          __snake_case           =						stack.pop()
          print(n.data							,   end=','						)
          __snake_case           =						n.right





def   _a		(lowercase__			:   TreeNode						)			->			None:






     """simple docstring"""
     if not isinstance(lowercase__							,   lowercase__						) or not node:
          return
     __snake_case      ,       __snake_case           =						[], []
     __snake_case           =						node
     stacka.append(lowercase__						)
     while stacka:  # to find the reversed order of post order, store it in stack2
          __snake_case           =						stacka.pop()
          if n.left:
               stacka.append(n.left						)
          if n.right:
               stacka.append(n.right						)
          stacka.append(lowercase__						)
     while stacka:  # pop up from stack2 will be the post order
          print(stacka.pop().data							,   end=','						)





def   _a		(lowercase__			:   str = ""							,   lowercase__			:   Tuple=5_0							,   lowercase__			:   Optional[Any]="*"						)			->			str:






     """simple docstring"""
     if not s:
          return "\n" + width * char
     __snake_case      ,       __snake_case           =						divmod(width - len(lowercase__						) - 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'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tensorflow_text_available, is_torch_available


__lowerCamelCase									=     {
    '''configuration_ernie''': ['''ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ErnieConfig''', '''ErnieOnnxConfig'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __lowerCamelCase									=     [
          '''ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ErnieForCausalLM''',
          '''ErnieForMaskedLM''',
          '''ErnieForMultipleChoice''',
          '''ErnieForNextSentencePrediction''',
          '''ErnieForPreTraining''',
          '''ErnieForQuestionAnswering''',
          '''ErnieForSequenceClassification''',
          '''ErnieForTokenClassification''',
          '''ErnieModel''',
          '''ErniePreTrainedModel''',
      ]

if TYPE_CHECKING:
      from .configuration_ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig, ErnieOnnxConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_ernie import (
                ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
                ErnieForCausalLM,
                ErnieForMaskedLM,
                ErnieForMultipleChoice,
                ErnieForNextSentencePrediction,
                ErnieForPreTraining,
                ErnieForQuestionAnswering,
                ErnieForSequenceClassification,
                ErnieForTokenClassification,
                ErnieModel,
                ErniePreTrainedModel,
            )

else:
      import sys

      __lowerCamelCase									=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
