
from __future__ import annotations

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




@dataclass
class      __A:

  """simple docstring"""
  SCREAMING_SNAKE_CASE__         =      42
  SCREAMING_SNAKE_CASE__         =      None
  SCREAMING_SNAKE_CASE__         =      None






def 						__magic_name__			(   ):



     '''simple docstring'''




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






def 						__magic_name__			(   __a      :	Node | None						):



     '''simple docstring'''




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






def 						__magic_name__			(   __a      :	Node | None						):



     '''simple docstring'''




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






def 						__magic_name__			(   __a      :	Node | None						):



     '''simple docstring'''




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






def 						__magic_name__			(   __a      :	Node | None						):



     '''simple docstring'''




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






def 						__magic_name__			(   __a      :	Node | None						):



     '''simple docstring'''




     UpperCamelCase__				=    []

     if root is None:
          return output

     UpperCamelCase__				=    deque([root]						)

     while process_queue:
          UpperCamelCase__				=    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 						__magic_name__			(   __a      :	Node | None	,		__a      :	int						):



     '''simple docstring'''




     UpperCamelCase__				=    []

     def populate_output(__a      :	Node | None	,		__a      :	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(__a	,		__a						)
     return output






def 						__magic_name__			(   __a      :	Node | None	,		__a      :	int						):



     '''simple docstring'''




     UpperCamelCase__				=    []

     def populate_output(__a      :	Node | None	,		__a      :	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(__a	,		__a						)
     return output






def 						__magic_name__			(   __a      :	Node | None						):



     '''simple docstring'''




     if root is None:
          return []

     UpperCamelCase__				=    []

     UpperCamelCase__				=    0
     UpperCamelCase__				=    height(__a						)

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

     return output






def 						__magic_name__			(   ):  # Main function for testing.



     '''simple docstring'''




     UpperCamelCase__				=    make_tree()
     print(f"In-order Traversal: {inorder(__a						)}"						)
     print(f"Pre-order Traversal: {preorder(__a						)}"						)
     print(f"Post-order Traversal: {postorder(__a						)}"	,		"""\n"""						)

     print(f"Height of Tree: {height(__a						)}"	,		"""\n"""						)

     print("""Complete Level Order Traversal: """						)
     print(level_order(__a						)	,		"""\n"""						)

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

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

     print("""\nZigZag order Traversal: """						)
     print(zigzag(__a						)						)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()







import pytest

from datasets.parallel import ParallelBackendConfig, parallel_backend
from datasets.utils.py_utils import map_nested

from .utils import require_dill_gt_0_3_2, require_joblibspark, require_not_windows






def 						__magic_name__			(   __a      :	Any						):  # picklable for multiprocessing



     '''simple docstring'''




     return i + 1






@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
def 						__magic_name__			(   ):



     '''simple docstring'''




     with parallel_backend("""spark"""						):
          assert ParallelBackendConfig.backend_name == "spark"

     UpperCamelCase__				=    [1, 2, 3]
     with pytest.raises(__a						):
          with parallel_backend("""unsupported backend"""						):
               map_nested(__a	,		__a	,		num_proc=2						)

     with pytest.raises(__a						):
          with parallel_backend("""unsupported backend"""						):
               map_nested(__a	,		__a	,		num_proc=-1						)






@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
@pytest.mark.parametrize("""num_proc"""	,		[2, -1]						)
def 						__magic_name__			(   __a      :	Optional[int]						):



     '''simple docstring'''




     UpperCamelCase__				=    [1, 2]
     UpperCamelCase__				=    {"""a""": 1, """b""": 2}
     UpperCamelCase__				=    {"""a""": [1, 2], """b""": [3, 4]}
     UpperCamelCase__				=    {"""a""": {"""1""": 1}, """b""": 2}
     UpperCamelCase__				=    {"""a""": 1, """b""": 2, """c""": 3, """d""": 4}
     UpperCamelCase__				=    [2, 3]
     UpperCamelCase__				=    {"""a""": 2, """b""": 3}
     UpperCamelCase__				=    {"""a""": [2, 3], """b""": [4, 5]}
     UpperCamelCase__				=    {"""a""": {"""1""": 2}, """b""": 3}
     UpperCamelCase__				=    {"""a""": 2, """b""": 3, """c""": 4, """d""": 5}

     with parallel_backend("""spark"""						):
          assert map_nested(__a	,		__a	,		num_proc=__a						) == expected_map_nested_sa
          assert map_nested(__a	,		__a	,		num_proc=__a						) == expected_map_nested_sa
          assert map_nested(__a	,		__a	,		num_proc=__a						) == expected_map_nested_sa
          assert map_nested(__a	,		__a	,		num_proc=__a						) == expected_map_nested_sa
          assert map_nested(__a	,		__a	,		num_proc=__a						) == expected_map_nested_sa





