






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"""


      a  : int
      a  : Node | None							       =	None
      a  : Node | None							       =	None






def 				lowerCamelCase__      (    ):
  __UpperCAmelCase							:	Dict           =  Node(1		)
  __UpperCAmelCase							:	Tuple           =  Node(2		)
  __UpperCAmelCase							:	Any           =  Node(3		)
  __UpperCAmelCase							:	List[str]           =  Node(4		)
  __UpperCAmelCase							:	List[str]           =  Node(5		)
  return tree






def 				lowerCamelCase__      (    __lowerCamelCase			:     Node | None		):
  return [root.data, *preorder(root.left		), *preorder(root.right		)] if root else []






def 				lowerCamelCase__      (    __lowerCamelCase			:     Node | None		):
  return postorder(root.left		) + postorder(root.right		) + [root.data] if root else []






def 				lowerCamelCase__      (    __lowerCamelCase			:     Node | None		):
  return [*inorder(root.left		), root.data, *inorder(root.right		)] if root else []






def 				lowerCamelCase__      (    __lowerCamelCase			:     Node | None		):
  return (max(height(root.left		)  ,		height(root.right		)		) + 1) if root else 0






def 				lowerCamelCase__      (    __lowerCamelCase			:     Node | None		):
  __UpperCAmelCase							:	list[Any]           =  []

  if root is None:
    return output

  __UpperCAmelCase							:	List[Any]           =  deque([root]		)

  while process_queue:
    __UpperCAmelCase							:	int           =  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 				lowerCamelCase__      (    __lowerCamelCase			:     Node | None  ,		__lowerCamelCase			:     int		):
  __UpperCAmelCase							:	list[Any]           =  []

  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 				lowerCamelCase__      (    __lowerCamelCase			:     Node | None  ,		__lowerCamelCase			:     int		):
  __UpperCAmelCase							:	list[Any]           =  []

  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 				lowerCamelCase__      (    __lowerCamelCase			:     Node | None		):
  if root is None:
    return []

  __UpperCAmelCase							:	list[Sequence[Node | None]]           =  []

  __UpperCAmelCase							:	Tuple           =  0
  __UpperCAmelCase							:	Tuple           =  height(__lowerCamelCase		)

  for h in range(1  ,		height_tree + 1		):
    if not flag:
      output.append(get_nodes_from_left_to_right(__lowerCamelCase  ,		__lowerCamelCase		)		)
      __UpperCAmelCase							:	Tuple           =  1
    else:
      output.append(get_nodes_from_right_to_left(__lowerCamelCase  ,		__lowerCamelCase		)		)
      __UpperCAmelCase							:	int           =  0

  return output






def 				lowerCamelCase__      (    ):  # Main function for testing.
  __UpperCAmelCase							:	Optional[int]           =  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()










# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a		:       Union[str, Any]			     = {"configuration_timm_backbone": ["TimmBackboneConfig"]}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a		:       Tuple			     = ["TimmBackbone"]


if TYPE_CHECKING:
       from .configuration_timm_backbone import TimmBackboneConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_timm_backbone import TimmBackbone

else:
       import sys

       a		:       List[Any]			     = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


