




'''simple docstring'''



from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any





@dataclass
class      lowerCAmelCase :
       __lowercase	:   int
       __lowercase	:   Node | None										=      None
       __lowercase	:   Node | None										=      None







def       _UpperCamelCase			()-> Node | None:




     '''simple docstring'''





     __snake_case            =	Node(1						)
     __snake_case            =	Node(2						)
     __snake_case            =	Node(3						)
     __snake_case            =	Node(4						)
     __snake_case            =	Node(5						)
     return tree







def       _UpperCamelCase			(_lowerCamelCase				:  Node | None						)-> list[int]:




     '''simple docstring'''





     return [root.data, *preorder(root.left						), *preorder(root.right						)] if root else []







def       _UpperCamelCase			(_lowerCamelCase				:  Node | None						)-> list[int]:




     '''simple docstring'''





     return postorder(root.left						) + postorder(root.right						) + [root.data] if root else []







def       _UpperCamelCase			(_lowerCamelCase				:  Node | None						)-> list[int]:




     '''simple docstring'''





     return [*inorder(root.left						), root.data, *inorder(root.right						)] if root else []







def       _UpperCamelCase			(_lowerCamelCase				:  Node | None						)-> int:




     '''simple docstring'''





     return (max(height(root.left						) ,						height(root.right						)						) + 1) if root else 0







def       _UpperCamelCase			(_lowerCamelCase				:  Node | None						)-> Sequence[Node | None]:




     '''simple docstring'''





     __snake_case            =	[]

     if root is None:
          return output

     __snake_case            =	deque([root]						)

     while process_queue:
          __snake_case            =	process_queue.popleft()
          output.append(node.data						)

          if node.left:
               process_queue.append(node.left						)
          if node.right:
               process_queue.append(node.right						)
     return output







def       _UpperCamelCase			(_lowerCamelCase				:  Node | None ,						_lowerCamelCase				:  int						)-> Sequence[Node | None]:




     '''simple docstring'''





     __snake_case            =	[]

     def populate_output(_lowerCamelCase				:  Node | None ,						_lowerCamelCase				:  int						) -> None:
          if not root:
               return
          if level == 1:
               output.append(root.data						)
          elif level > 1:
               populate_output(root.left ,						level - 1						)
               populate_output(root.right ,						level - 1						)

     populate_output(_lowerCamelCase ,						_lowerCamelCase						)
     return output







def       _UpperCamelCase			(_lowerCamelCase				:  Node | None ,						_lowerCamelCase				:  int						)-> Sequence[Node | None]:




     '''simple docstring'''





     __snake_case            =	[]

     def populate_output(_lowerCamelCase				:  Node | None ,						_lowerCamelCase				:  int						) -> None:
          if root is None:
               return
          if level == 1:
               output.append(root.data						)
          elif level > 1:
               populate_output(root.right ,						level - 1						)
               populate_output(root.left ,						level - 1						)

     populate_output(_lowerCamelCase ,						_lowerCamelCase						)
     return output







def       _UpperCamelCase			(_lowerCamelCase				:  Node | None						)-> Sequence[Node | None] | list[Any]:




     '''simple docstring'''





     if root is None:
          return []

     __snake_case            =	[]

     __snake_case            =	0
     __snake_case            =	height(_lowerCamelCase						)

     for h in range(1 ,						height_tree + 1						):
          if not flag:
               output.append(get_nodes_from_left_to_right(_lowerCamelCase ,						_lowerCamelCase						)						)
               __snake_case            =	1
          else:
               output.append(get_nodes_from_right_to_left(_lowerCamelCase ,						_lowerCamelCase						)						)
               __snake_case            =	0

     return output







def       _UpperCamelCase			()-> None:  # Main function for testing.




     '''simple docstring'''





     __snake_case            =	make_tree()
     print(f'''In-order Traversal: {inorder(_lowerCamelCase						)}'''						)
     print(f'''Pre-order Traversal: {preorder(_lowerCamelCase						)}'''						)
     print(f'''Post-order Traversal: {postorder(_lowerCamelCase						)}''' ,						'''\n'''						)

     print(f'''Height of Tree: {height(_lowerCamelCase						)}''' ,						'''\n'''						)

     print('''Complete Level Order Traversal: '''						)
     print(level_order(_lowerCamelCase						) ,						'''\n'''						)

     print('''Level-wise order Traversal: '''						)

     for level in range(1 ,						height(_lowerCamelCase						) + 1						):
          print(f'''Level {level}:''' ,						get_nodes_from_left_to_right(_lowerCamelCase ,						level=_lowerCamelCase						)						)

     print('''\nZigZag order Traversal: '''						)
     print(zigzag(_lowerCamelCase						)						)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()














'''simple docstring'''

from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest




@require_tokenizers
class      A     (   SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 __a      :    Optional[int]			  =    DistilBertTokenizer
 __a      :    Union[str, Any]			  =    DistilBertTokenizerFast
 __a      :    Any			  =    True
 @slow
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: List[Any]            =				DistilBertTokenizer.from_pretrained("""distilbert-base-uncased"""			)

       UpperCamelCase_					: Dict            =				tokenizer.encode("""sequence builders"""      ,  add_special_tokens=__lowerCAmelCase			)
       UpperCamelCase_					: int            =				tokenizer.encode("""multi-sequence build"""      ,  add_special_tokens=__lowerCAmelCase			)

       UpperCamelCase_					: Union[str, Any]            =				tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase			)
       UpperCamelCase_					: Dict            =				tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase      ,  __lowerCAmelCase			)

       assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
       assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
           tokenizer.sep_token_id
       ]






