




"""simple docstring"""



from __future__ import annotations

import queue




class      UpperCAmelCase_  :




    def __init__(   self						:	Optional[int]     ,			snake_case_						:	Optional[Any]				)				->							Union[str, Any]:




     '''simple docstring'''

     A__	=    data
     A__	=    None
     A__	=    None







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







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







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







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







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		None:
 if not isinstance(lowercase_      ,			lowercase_						) or not node:
  return
 A__	=    queue.Queue()
 q.put(lowercase_						)
 while not q.empty():
  A__	=    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   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		None:
 if not isinstance(lowercase_      ,			lowercase_						) or not node:
  return
 A__	=    queue.Queue()
 q.put(lowercase_						)
 while not q.empty():
  A__	=    []
  while not q.empty():
   A__	=    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   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		None:
 if not isinstance(lowercase_      ,			lowercase_						) or not node:
  return
 A__	=    []
 A__	=    node
 while n or stack:
  while n:  # start from root node, find its left child
   print(n.data      ,			end=","						)
   stack.append(lowercase_						)
   A__	=    n.left
  # end of while means current node doesn't have left child
  A__	=    stack.pop()
  # start to traverse its right child
  A__	=    n.right







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		None:
 if not isinstance(lowercase_      ,			lowercase_						) or not node:
  return
 A__	=    []
 A__	=    node
 while n or stack:
  while n:
   stack.append(lowercase_						)
   A__	=    n.left
  A__	=    stack.pop()
  print(n.data      ,			end=","						)
  A__	=    n.right







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		None:
 if not isinstance(lowercase_      ,			lowercase_						) or not node:
  return
 A__,				A__	=    [], []
 A__	=    node
 stacka.append(lowercase_						)
 while stacka:  # to find the reversed order of post order, store it in stack2
  A__	=    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   _SCREAMING_SNAKE_CASE       (							lowercase_ = ""      ,			lowercase_=50      ,			lowercase_="*"						)						->		str:
 if not s:
  return "\n" + width * char
 A__,				A__	=    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"))

      SCREAMING_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())











"""simple docstring"""



from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE    =	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE    =	{
    "SCUT-DLVCLab/lilt-roberta-en-base": (
        "https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json"
    ),
}




class      UpperCAmelCase_  (						A_							):
    lowercase__						 =				'''lilt'''




    def __init__(   self						:	List[str]     ,			snake_case_						:	Any=30_522     ,			snake_case_						:	Optional[Any]=768     ,			snake_case_						:	Union[str, Any]=12     ,			snake_case_						:	Union[str, Any]=12     ,			snake_case_						:	Any=3_072     ,			snake_case_						:	List[str]="gelu"     ,			snake_case_						:	Union[str, Any]=0.1     ,			snake_case_						:	List[Any]=0.1     ,			snake_case_						:	Any=512     ,			snake_case_						:	Optional[Any]=2     ,			snake_case_						:	List[str]=0.02     ,			snake_case_						:	Optional[Any]=1e-12     ,			snake_case_						:	List[Any]=0     ,			snake_case_						:	Any="absolute"     ,			snake_case_						:	str=None     ,			snake_case_						:	int=4     ,			snake_case_						:	int=1_024     ,			**snake_case_						:	Tuple     ,			)				->							List[Any]:




     '''simple docstring'''

     super().__init__(pad_token_id=snake_case_     ,			**snake_case_				)

     A__	=    vocab_size
     A__	=    hidden_size
     A__	=    num_hidden_layers
     A__	=    num_attention_heads
     A__	=    hidden_act
     A__	=    intermediate_size
     A__	=    hidden_dropout_prob
     A__	=    attention_probs_dropout_prob
     A__	=    max_position_embeddings
     A__	=    type_vocab_size
     A__	=    initializer_range
     A__	=    layer_norm_eps
     A__	=    position_embedding_type
     A__	=    classifier_dropout
     A__	=    channel_shrink_ratio
     A__	=    max_ad_position_embeddings





