




from __future__ import annotations

import queue


class 				UpperCamelCase_    :

    '''simple docstring'''






    def __init__(			self      :	str					, UpperCAmelCase__      :	str)						->Tuple:





           '''simple docstring'''

           A__       =    data
           A__       =    None
           A__       =    None







def SCREAMING_SNAKE_CASE				(       )   ->       TreeNode:



       """simple docstring"""

       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:



       """simple docstring"""

       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:



       """simple docstring"""

       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:



       """simple docstring"""

       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:



       """simple docstring"""

       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:



       """simple docstring"""

       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:



       """simple docstring"""

       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:



       """simple docstring"""

       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:



       """simple docstring"""

       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:



       """simple docstring"""

       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"""))

  _lowerCamelCase	:		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 os

import numpy
import onnx
def 				lowercase__   (   __lowercase						:  Optional[int]				,  __lowercase						:  Union[str, Any]     ) ->      Dict:



       """simple docstring"""






       __UpperCamelCase       =  a.name
       __UpperCamelCase       =  b.name

       __UpperCamelCase       =  ''
       __UpperCamelCase       =  ''

       __UpperCamelCase       =  a == b

       __UpperCamelCase       =  name_a
       __UpperCamelCase       =  name_b

       return res
def 				lowercase__   (   __lowercase						:  int				,  __lowercase						:  int				,  __lowercase						:  List[Any]     ) ->      Optional[int]:



       """simple docstring"""






       for i, input_name in enumerate(node_proto.input     ):
              if input_name == name:
                     node_proto.input.insert(__lowercase				,  __lowercase     )
                     node_proto.input.pop(i + 1     )

       if node_proto.op_type == "If":
              _graph_replace_input_with(node_proto.attribute[0].g				,  __lowercase				,  __lowercase     )
              _graph_replace_input_with(node_proto.attribute[1].g				,  __lowercase				,  __lowercase     )
       if node_proto.op_type == "Loop":
              _graph_replace_input_with(node_proto.attribute[0].g				,  __lowercase				,  __lowercase     )
def 				lowercase__   (   __lowercase						:  int				,  __lowercase						:  List[Any]				,  __lowercase						:  Dict     ) ->      int:



       """simple docstring"""






       for n in graph_proto.node:
              _node_replace_input_with(__lowercase				,  __lowercase				,  __lowercase     )
def 				lowercase__   (   __lowercase						:  List[str]				,  __lowercase						:  Union[str, Any]				,  __lowercase						:  str     ) ->      Union[str, Any]:



       """simple docstring"""






       __UpperCamelCase       =  list(model.graph.initializer     )
       __UpperCamelCase       =  list(model_without_ext.graph.initializer     )
       for i, ref_i in ind_to_replace:
              assert inits_with_data[i].name == inits[i].name
              assert inits_with_data[ref_i].name == inits[ref_i].name
              assert i > ref_i

              __UpperCamelCase       =  inits[i].name
              __UpperCamelCase       =  inits[ref_i].name

              model_without_ext.graph.initializer.remove(inits[i]     )

              # for n in model.graph.node:
              _graph_replace_input_with(model_without_ext.graph				,  __lowercase				,  __lowercase     )


def 				lowercase__   (   __lowercase						:  Dict     ) ->      Union[str, Any]:



       """simple docstring"""






       __UpperCamelCase       =  os.path.dirname(__lowercase     )
       __UpperCamelCase       =  os.path.basename(__lowercase     )

       __UpperCamelCase       =  onnx.load(os.path.join(__lowercase				,  __lowercase     )     )

       __UpperCamelCase       =  list(model.graph.initializer     )

       __UpperCamelCase       =  set()
       __UpperCamelCase       =  {}
       __UpperCamelCase       =  []

       __UpperCamelCase       =  0

       for i in range(len(__lowercase     )     ):
              if i in dup_set:
                     continue

              for j in range(i + 1				,  len(__lowercase     )     ):
                     if j in dup_set:
                            continue
                     if _is_equal_tensor_proto(inits[i]				,  inits[j]     ):
                            dup_set.add(__lowercase     )
                            dup_set.add(__lowercase     )

                            __UpperCamelCase       =  inits[j].data_type
                            __UpperCamelCase       =  numpy.prod(inits[j].dims     )
                            if dtype == 1:
                                   mem_size *= 4
                            elif dtype == 6:
                                   mem_size *= 4
                            elif dtype == 7 or dtype == 11:
                                   mem_size *= 8
                            else:
                                   print('unexpected data type: '				,  __lowercase     )
                            total_reduced_size += mem_size

                            __UpperCamelCase       =  inits[i].name
                            __UpperCamelCase       =  inits[j].name

                            if name_i in dup_map:
                                   dup_map[name_i].append(__lowercase     )
                            else:
                                   __UpperCamelCase       =  [name_j]
                            ind_to_replace.append((j, i)     )

       print('total reduced size: '				,  total_reduced_size / 1024 / 1024 / 1024				,  'GB'     )

       __UpperCamelCase       =  sorted(__lowercase     )
       _remove_dup_initializers_from_model(__lowercase				,  __lowercase				,  __lowercase     )

       __UpperCamelCase       =  'optimized_' + model_file_name
       __UpperCamelCase       =  os.path.join(__lowercase				,  __lowercase     )
       onnx.save(__lowercase				,  __lowercase     )

       return new_model
