from __future__ import annotations

import queue



class  UpperCamelCase				:

     '''simple docstring'''

     def __init__(					self				,				A_						) ->				Optional[Any]:






           """simple docstring"""
           _lowerCamelCase			    =				data
           _lowerCamelCase			    =				None
           _lowerCamelCase			    =				None





def       __magic_name__(  )						->    TreeNode:



      '''simple docstring'''

      print('''\n********Press N to stop entering at any point of time********\n'''		)
      _lowerCamelCase			    =				input('''Enter the value of the root node: '''		).strip().lower()
      _lowerCamelCase			    =				queue.Queue()
      _lowerCamelCase			    =				TreeNode(int(__UpperCAmelCase		)		)
      q.put(__UpperCAmelCase		)
      while not q.empty():
            _lowerCamelCase			    =				q.get()
            _lowerCamelCase			    =				F'Enter the left node of {node_found.data}: '
            _lowerCamelCase			    =				input(__UpperCAmelCase		).strip().lower() or '''n'''
            if check == "n":
                  return tree_node
            _lowerCamelCase			    =				TreeNode(int(__UpperCAmelCase		)		)
            _lowerCamelCase			    =				left_node
            q.put(__UpperCAmelCase		)
            _lowerCamelCase			    =				F'Enter the right node of {node_found.data}: '
            _lowerCamelCase			    =				input(__UpperCAmelCase		).strip().lower() or '''n'''
            if check == "n":
                  return tree_node
            _lowerCamelCase			    =				TreeNode(int(__UpperCAmelCase		)		)
            _lowerCamelCase			    =				right_node
            q.put(__UpperCAmelCase		)
      raise
def       __magic_name__(  __UpperCAmelCase		)						->    None:



      '''simple docstring'''

      if not isinstance(__UpperCAmelCase ,						__UpperCAmelCase		) or not node:
            return
      print(node.data ,						end=''','''		)
      pre_order(node.left		)
      pre_order(node.right		)
def       __magic_name__(  __UpperCAmelCase		)						->    None:



      '''simple docstring'''

      if not isinstance(__UpperCAmelCase ,						__UpperCAmelCase		) or not node:
            return
      in_order(node.left		)
      print(node.data ,						end=''','''		)
      in_order(node.right		)
def       __magic_name__(  __UpperCAmelCase		)						->    None:



      '''simple docstring'''

      if not isinstance(__UpperCAmelCase ,						__UpperCAmelCase		) or not node:
            return
      post_order(node.left		)
      post_order(node.right		)
      print(node.data ,						end=''','''		)
def       __magic_name__(  __UpperCAmelCase		)						->    None:



      '''simple docstring'''

      if not isinstance(__UpperCAmelCase ,						__UpperCAmelCase		) or not node:
            return
      _lowerCamelCase			    =				queue.Queue()
      q.put(__UpperCAmelCase		)
      while not q.empty():
            _lowerCamelCase			    =				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       __magic_name__(  __UpperCAmelCase		)						->    None:



      '''simple docstring'''

      if not isinstance(__UpperCAmelCase ,						__UpperCAmelCase		) or not node:
            return
      _lowerCamelCase			    =				queue.Queue()
      q.put(__UpperCAmelCase		)
      while not q.empty():
            _lowerCamelCase			    =				[]
            while not q.empty():
                  _lowerCamelCase			    =				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(__UpperCAmelCase		)
def       __magic_name__(  __UpperCAmelCase		)						->    None:



      '''simple docstring'''

      if not isinstance(__UpperCAmelCase ,						__UpperCAmelCase		) or not node:
            return
      _lowerCamelCase			    =				[]
      _lowerCamelCase			    =				node
      while n or stack:
            while n:  # start from root node, find its left child
                  print(n.data ,						end=''','''		)
                  stack.append(__UpperCAmelCase		)
                  _lowerCamelCase			    =				n.left
            # end of while means current node doesn't have left child
            _lowerCamelCase			    =				stack.pop()
            # start to traverse its right child
            _lowerCamelCase			    =				n.right
def       __magic_name__(  __UpperCAmelCase		)						->    None:



      '''simple docstring'''

      if not isinstance(__UpperCAmelCase ,						__UpperCAmelCase		) or not node:
            return
      _lowerCamelCase			    =				[]
      _lowerCamelCase			    =				node
      while n or stack:
            while n:
                  stack.append(__UpperCAmelCase		)
                  _lowerCamelCase			    =				n.left
            _lowerCamelCase			    =				stack.pop()
            print(n.data ,						end=''','''		)
            _lowerCamelCase			    =				n.right
def       __magic_name__(  __UpperCAmelCase		)						->    None:



      '''simple docstring'''

      if not isinstance(__UpperCAmelCase ,						__UpperCAmelCase		) or not node:
            return
      _lowerCamelCase    ,					_lowerCamelCase			    =				[], []
      _lowerCamelCase			    =				node
      stacka.append(__UpperCAmelCase		)
      while stacka:  # to find the reversed order of post order, store it in stack2
            _lowerCamelCase			    =				stacka.pop()
            if n.left:
                  stacka.append(n.left		)
            if n.right:
                  stacka.append(n.right		)
            stacka.append(__UpperCAmelCase		)
      while stacka:  # pop up from stack2 will be the post order
            print(stacka.pop().data ,						end=''','''		)
def       __magic_name__(  __UpperCAmelCase = "" ,						__UpperCAmelCase=50 ,						__UpperCAmelCase="*"		)						->    str:



      '''simple docstring'''

      if not s:
            return "\n" + width * char
      _lowerCamelCase    ,					_lowerCamelCase			    =				divmod(width - len(__UpperCAmelCase		) - 2 ,						2		)
      return F'{left * char} {s} {(left + extra) * char}'


if __name__ == "__main__":
     import doctest

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

     snake_case__				= 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())
from typing import TYPE_CHECKING

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


snake_case__				= {
    'configuration_trajectory_transformer': [
        'TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TrajectoryTransformerConfig',
    ],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case__				= [
         'TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
         'TrajectoryTransformerModel',
         'TrajectoryTransformerPreTrainedModel',
         'load_tf_weights_in_trajectory_transformer',
     ]


if TYPE_CHECKING:
     from .configuration_trajectory_transformer import (
         TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
         TrajectoryTransformerConfig,
     )

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_trajectory_transformer import (
              TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
              TrajectoryTransformerModel,
              TrajectoryTransformerPreTrainedModel,
              load_tf_weights_in_trajectory_transformer,
          )


else:
     import sys

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