






from __future__ import annotations

import queue







class 		_A						:

  def __init__(    self						:	Union[str, Any]   ,				lowerCamelCase__						:	List[str]			):
     """simple docstring"""

     __UpperCamelCase	:			int					=					data
     __UpperCamelCase	:			Dict					=					None
     __UpperCamelCase	:			Union[str, Any]					=					None







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


def 				__lowerCamelCase     (							__lowerCAmelCase							:					TreeNode							)     ->  None:
   if not isinstance(__lowerCAmelCase					,							__lowerCAmelCase							) or not node:
      return
   print(node.data					,							end=""","""							)
   pre_order(node.left							)
   pre_order(node.right							)


def 				__lowerCamelCase     (							__lowerCAmelCase							:					TreeNode							)     ->  None:
   if not isinstance(__lowerCAmelCase					,							__lowerCAmelCase							) or not node:
      return
   in_order(node.left							)
   print(node.data					,							end=""","""							)
   in_order(node.right							)


def 				__lowerCamelCase     (							__lowerCAmelCase							:					TreeNode							)     ->  None:
   if not isinstance(__lowerCAmelCase					,							__lowerCAmelCase							) or not node:
      return
   post_order(node.left							)
   post_order(node.right							)
   print(node.data					,							end=""","""							)


def 				__lowerCamelCase     (							__lowerCAmelCase							:					TreeNode							)     ->  None:
   if not isinstance(__lowerCAmelCase					,							__lowerCAmelCase							) or not node:
      return
   __UpperCamelCase	:			queue.Queue					=					queue.Queue()
   q.put(__lowerCAmelCase							)
   while not q.empty():
      __UpperCamelCase	:			Optional[Any]					=					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 				__lowerCamelCase     (							__lowerCAmelCase							:					TreeNode							)     ->  None:
   if not isinstance(__lowerCAmelCase					,							__lowerCAmelCase							) or not node:
      return
   __UpperCamelCase	:			queue.Queue					=					queue.Queue()
   q.put(__lowerCAmelCase							)
   while not q.empty():
      __UpperCamelCase	:			int					=					[]
      while not q.empty():
         __UpperCamelCase	:			Tuple					=					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(__lowerCAmelCase							)


def 				__lowerCamelCase     (							__lowerCAmelCase							:					TreeNode							)     ->  None:
   if not isinstance(__lowerCAmelCase					,							__lowerCAmelCase							) or not node:
      return
   __UpperCamelCase	:			list[TreeNode]					=					[]
   __UpperCamelCase	:			str					=					node
   while n or stack:
      while n:  # start from root node, find its left child
         print(n.data					,							end=""","""							)
         stack.append(__lowerCAmelCase							)
         __UpperCamelCase	:			Union[str, Any]					=					n.left
      # end of while means current node doesn't have left child
      __UpperCamelCase	:			Optional[int]					=					stack.pop()
      # start to traverse its right child
      __UpperCamelCase	:			List[Any]					=					n.right


def 				__lowerCamelCase     (							__lowerCAmelCase							:					TreeNode							)     ->  None:
   if not isinstance(__lowerCAmelCase					,							__lowerCAmelCase							) or not node:
      return
   __UpperCamelCase	:			list[TreeNode]					=					[]
   __UpperCamelCase	:			List[Any]					=					node
   while n or stack:
      while n:
         stack.append(__lowerCAmelCase							)
         __UpperCamelCase	:			Optional[int]					=					n.left
      __UpperCamelCase	:			Optional[Any]					=					stack.pop()
      print(n.data					,							end=""","""							)
      __UpperCamelCase	:			Tuple					=					n.right


def 				__lowerCamelCase     (							__lowerCAmelCase							:					TreeNode							)     ->  None:
   if not isinstance(__lowerCAmelCase					,							__lowerCAmelCase							) or not node:
      return
   __UpperCamelCase	,     __UpperCamelCase	:			Any					=					[], []
   __UpperCamelCase	:			Dict					=					node
   stacka.append(__lowerCAmelCase							)
   while stacka:  # to find the reversed order of post order, store it in stack2
      __UpperCamelCase	:			str					=					stacka.pop()
      if n.left:
         stacka.append(n.left							)
      if n.right:
         stacka.append(n.right							)
      stacka.append(__lowerCAmelCase							)
   while stacka:  # pop up from stack2 will be the post order
      print(stacka.pop().data					,							end=""","""							)


def 				__lowerCamelCase     (							__lowerCAmelCase							:					str = ""					,							__lowerCAmelCase							:					Optional[int]=50					,							__lowerCAmelCase							:					Tuple="*"							)     ->  str:
   if not s:
      return "\n" + width * char
   __UpperCamelCase	,     __UpperCamelCase	:			List[Any]					=					divmod(width - len(__lowerCAmelCase							) - 2					,							2							)
   return f'{left * char} {s} {(left + extra) * char}'


if __name__ == "__main__":
       import doctest

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

       UpperCamelCase    							=      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 . import (
    albert,
    align,
    altclip,
    audio_spectrogram_transformer,
    auto,
    autoformer,
    bark,
    bart,
    barthez,
    bartpho,
    beit,
    bert,
    bert_generation,
    bert_japanese,
    bertweet,
    big_bird,
    bigbird_pegasus,
    biogpt,
    bit,
    blenderbot,
    blenderbot_small,
    blip,
    blip_a,
    bloom,
    bridgetower,
    byta,
    camembert,
    canine,
    chinese_clip,
    clap,
    clip,
    clipseg,
    codegen,
    conditional_detr,
    convbert,
    convnext,
    convnextva,
    cpm,
    cpmant,
    ctrl,
    cvt,
    dataavec,
    deberta,
    deberta_va,
    decision_transformer,
    deformable_detr,
    deit,
    deprecated,
    deta,
    detr,
    dialogpt,
    dinat,
    distilbert,
    dit,
    donut,
    dpr,
    dpt,
    efficientformer,
    efficientnet,
    electra,
    encodec,
    encoder_decoder,
    ernie,
    ernie_m,
    esm,
    falcon,
    flaubert,
    flava,
    fnet,
    focalnet,
    fsmt,
    funnel,
    git,
    glpn,
    gpta,
    gpt_bigcode,
    gpt_neo,
    gpt_neox,
    gpt_neox_japanese,
    gpt_swa,
    gptj,
    gptsan_japanese,
    graphormer,
    groupvit,
    herbert,
    hubert,
    ibert,
    imagegpt,
    informer,
    instructblip,
    jukebox,
    layoutlm,
    layoutlmva,
    layoutlmva,
    layoutxlm,
    led,
    levit,
    lilt,
    llama,
    longformer,
    longta,
    luke,
    lxmert,
    mam_aaa,
    marian,
    markuplm,
    maskaformer,
    maskformer,
    mbart,
    mbartaa,
    mega,
    megatron_bert,
    megatron_gpta,
    mgp_str,
    mluke,
    mobilebert,
    mobilenet_va,
    mobilenet_va,
    mobilevit,
    mobilevitva,
    mpnet,
    mra,
    mta,
    musicgen,
    mvp,
    nat,
    nezha,
    nllb,
    nllb_moe,
    nystromformer,
    oneformer,
    open_llama,
    openai,
    opt,
    owlvit,
    pegasus,
    pegasus_x,
    perceiver,
    phobert,
    pixastruct,
    plbart,
    poolformer,
    prophetnet,
    qdqbert,
    rag,
    realm,
    reformer,
    regnet,
    rembert,
    resnet,
    roberta,
    roberta_prelayernorm,
    roc_bert,
    roformer,
    rwkv,
    sam,
    segformer,
    sew,
    sew_d,
    speech_encoder_decoder,
    speech_to_text,
    speech_to_text_a,
    speechta,
    splinter,
    squeezebert,
    swiftformer,
    swin,
    swinasr,
    swinva,
    switch_transformers,
    ta,
    table_transformer,
    tapas,
    time_series_transformer,
    timesformer,
    timm_backbone,
    transfo_xl,
    trocr,
    tvlt,
    umta,
    unispeech,
    unispeech_sat,
    upernet,
    videomae,
    vilt,
    vision_encoder_decoder,
    vision_text_dual_encoder,
    visual_bert,
    vit,
    vit_hybrid,
    vit_mae,
    vit_msn,
    vivit,
    wavaveca,
    wavaveca_conformer,
    wavaveca_phoneme,
    wavaveca_with_lm,
    wavlm,
    whisper,
    x_clip,
    xglm,
    xlm,
    xlm_prophetnet,
    xlm_roberta,
    xlm_roberta_xl,
    xlnet,
    xmod,
    yolos,
    yoso,
)



