
'''simple docstring'''

from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any


class 					a_					:
       __lowerCAmelCase      :			str      = ("""_front""", """_back""", """_len""")


       @dataclass
       class 					a_					:
              __lowerCAmelCase      :			Any      = None
              __lowerCAmelCase      :			Deque._Node | None      = None
              __lowerCAmelCase      :			Deque._Node | None      = None



       class 					a_					:
              __lowerCAmelCase      :			Optional[Any]      = ("""_cur""",)




              def __init__(       self				,				snake_case_					):
                _lowerCAmelCase    :					List[str]							=   cur




              def __iter__(       self					):
                return self







              def 							__UpperCamelCase    (       self					):
                if self._cur is None:
                  # finished iterating
                  raise StopIteration
                _lowerCAmelCase    :					Tuple							=   self._cur.val
                _lowerCAmelCase    :					List[str]							=   self._cur.next_node

                return val




       def __init__(       self				,				snake_case_ = None					):
         _lowerCAmelCase    :					Any							=   None
         _lowerCAmelCase    :					Any							=   None
         _lowerCAmelCase    :					int							=   0

         if iterable is not None:
           # append every value to the deque
           for val in iterable:
             self.append(snake_case_					)




       def 							__UpperCamelCase    (       self				,				snake_case_					):
         _lowerCAmelCase    :					Optional[Any]							=   self._Node(snake_case_				,				snake_case_				,				snake_case_					)
         if self.is_empty():
           # front = back
           _lowerCAmelCase    :					str							=   node
           _lowerCAmelCase    :					Any							=   1
         else:
           # connect nodes
           _lowerCAmelCase    :					List[str]							=   node
           _lowerCAmelCase    :					Dict							=   self._back
           _lowerCAmelCase    :					Tuple							=   node  # assign new back to the new node

           self._len += 1

           # make sure there were no errors
           assert not self.is_empty(), "Error on appending value."




       def 							__UpperCamelCase    (       self				,				snake_case_					):
         _lowerCAmelCase    :					int							=   self._Node(snake_case_				,				snake_case_				,				snake_case_					)
         if self.is_empty():
           # front = back
           _lowerCAmelCase    :					str							=   node
           _lowerCAmelCase    :					Tuple							=   1
         else:
           # connect nodes
           _lowerCAmelCase    :					Tuple							=   self._front
           _lowerCAmelCase    :					List[Any]							=   node
           _lowerCAmelCase    :					int							=   node  # assign new front to the new node

           self._len += 1

           # make sure there were no errors
           assert not self.is_empty(), "Error on appending value."




       def 							__UpperCamelCase    (       self				,				snake_case_					):
         for val in iterable:
           self.append(snake_case_					)




       def 							__UpperCamelCase    (       self				,				snake_case_					):
         for val in iterable:
           self.appendleft(snake_case_					)




       def 							__UpperCamelCase    (       self					):
         assert not self.is_empty(), "Deque is empty."

         _lowerCAmelCase    :					Optional[int]							=   self._back
         _lowerCAmelCase    :					Optional[int]							=   self._back.prev_node  # set new back
         # drop the last node - python will deallocate memory automatically
         _lowerCAmelCase    :					str							=   None

         self._len -= 1

         return topop.val




       def 							__UpperCamelCase    (       self					):
         assert not self.is_empty(), "Deque is empty."

         _lowerCAmelCase    :					Optional[Any]							=   self._front
         _lowerCAmelCase    :					str							=   self._front.next_node  # set new front and drop the first node
         _lowerCAmelCase    :					List[str]							=   None

         self._len -= 1

         return topop.val




       def 							__UpperCamelCase    (       self					):
         return self._front is None




       def __len__(       self					):
         return self._len




       def __eq__(       self				,				snake_case_					):

         if not isinstance(snake_case_				,				snake_case_					):
           return NotImplemented

         _lowerCAmelCase    :					str							=   self._front
         _lowerCAmelCase    :					List[Any]							=   other._front

         # if the length of the dequeues are not the same, they are not equal
         if len(self					) != len(snake_case_					):
           return False

         while me is not None and oth is not None:
           # compare every value
           if me.val != oth.val:
             return False
           _lowerCAmelCase    :					Dict							=   me.next_node
           _lowerCAmelCase    :					Tuple							=   oth.next_node

         return True




       def __iter__(       self					):
         return Deque._Iterator(self._front					)







       def __repr__(       self					):
         _lowerCAmelCase    :					Tuple							=   []
         _lowerCAmelCase    :					int							=   self._front
         while aux is not None:
           # append the values in a list to display
           values_list.append(aux.val					)
           _lowerCAmelCase    :					Optional[int]							=   aux.next_node

         return f'[{", ".join(repr(snake_case_					) for val in values_list					)}]'


if __name__ == "__main__":
     import doctest

     doctest.testmod()



'''simple docstring'''

from __future__ import annotations


class 					a_					:




       def __init__(       self				,				snake_case_ = 0					):
         _lowerCAmelCase    :					Optional[Any]							=   value
         _lowerCAmelCase    :					Node | None							=   None
         _lowerCAmelCase    :					Node | None							=   None



def 		_UpperCAmelCase			(					_lowerCamelCase  :    Node | None					, _lowerCamelCase  :    Node | None						)      ->  Node | None:
  if treea is None:
    return treea
  if treea is None:
    return treea

  _lowerCAmelCase    :					Any							=   treea.value + treea.value
  _lowerCAmelCase    :					Tuple							=   merge_two_binary_trees(treea.left					, treea.left						)
  _lowerCAmelCase    :					List[str]							=   merge_two_binary_trees(treea.right					, treea.right						)
  return treea


def 		_UpperCAmelCase			(					_lowerCamelCase  :    Node | None						)      ->  None:
  if root:
    print(root.value						)
    print_preorder(root.left						)
    print_preorder(root.right						)


if __name__ == "__main__":
     UpperCamelCase_            =    Node(1)
     UpperCamelCase_            =    Node(2)
     UpperCamelCase_            =    Node(3)
     UpperCamelCase_            =    Node(4)

     UpperCamelCase_            =    Node(2)
     UpperCamelCase_            =    Node(4)
     UpperCamelCase_            =    Node(6)
     UpperCamelCase_            =    Node(9)
     UpperCamelCase_            =    Node(5)

     print("""Tree1 is: """)
     print_preorder(treea)
     print("""Tree2 is: """)
     print_preorder(treea)
     UpperCamelCase_            =    merge_two_binary_trees(treea, treea)
     print("""Merged Tree is: """)
     print_preorder(merged_tree)


