


from __future__ import annotations

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




@dataclass
class 				lowerCamelCase__							:




	'''simple docstring'''




	_A			=  4_2
	_A			=  None
	_A			=  None




def 			_SCREAMING_SNAKE_CASE      (	)      ->					Node | None:






							'''simple docstring'''





							__UpperCamelCase			:     Union[str, Any]         =      Node(1)
							__UpperCamelCase			:     str         =      Node(2)
							__UpperCamelCase			:     List[Any]         =      Node(3)
							__UpperCamelCase			:     List[Any]         =      Node(4)
							__UpperCamelCase			:     Tuple         =      Node(5)
							return tree




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






							'''simple docstring'''





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




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






							'''simple docstring'''





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




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






							'''simple docstring'''





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




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






							'''simple docstring'''





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




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






							'''simple docstring'''





							__UpperCamelCase			:     list[Any]         =      []

							if root is None:
														return output

							__UpperCamelCase			:     Any         =      deque([root])

							while process_queue:
														__UpperCamelCase			:     Any         =      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 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    Node | None		,						_lowerCamelCase				:    int)      ->					Sequence[Node | None]:






							'''simple docstring'''





							__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 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    Node | None		,						_lowerCamelCase				:    int)      ->					Sequence[Node | None]:






							'''simple docstring'''





							__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 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    Node | None)      ->					Sequence[Node | None] | list[Any]:






							'''simple docstring'''





							if root is None:
														return []

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

							__UpperCamelCase			:     Optional[Any]         =      0
							__UpperCamelCase			:     Any         =      height(_lowerCamelCase)

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

							return output




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






							'''simple docstring'''





							__UpperCamelCase			:     Tuple         =      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()

import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict




@dataclass
class 				lowerCamelCase__							(       __lowercase):




	'''simple docstring'''




	_A			=  ComputeEnvironment.AMAZON_SAGEMAKER
	_A			=  True
	_A			=  'ml.p3.2xlarge'
	_A			=  'accelerate_sagemaker_execution_role'
	_A			=  'hf-sm'
	_A			=  'us-east-1'
	_A			=  1
	_A			=  'accelerate-sagemaker-1'
	_A			=  '1.6'
	_A			=  '4.4'
	_A			=  'train.py'
	_A			=  [
	    '--model_name_or_path',
	    'bert',
	    '--do_train',
	    'False',
	    '--epochs',
	    '3',
	    '--learning_rate',
	    '5e-5',
	    '--max_steps',
	    '50.5',
	]
	_A			=  [
	    '--model_name_or_path',
	    'bert',
	    '--do_train',
	    '--do_test',
	    'False',
	    '--do_predict',
	    '--epochs',
	    '3',
	    '--learning_rate',
	    '5e-5',
	    '--max_steps',
	    '50.5',
	]




class 				lowerCamelCase__							(       unittest.TestCase):




	'''simple docstring'''




	def      _lowerCamelCase       (      self	:Tuple		)	->				str:
								# If no defaults are changed, `to_kwargs` returns an empty dict.
								__UpperCamelCase			:     str         =      _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args		)
								assert isinstance(converted_args["model_name_or_path"]  ,     a		)
								assert isinstance(converted_args["do_train"]  ,     a		)
								assert isinstance(converted_args["epochs"]  ,     a		)
								assert isinstance(converted_args["learning_rate"]  ,     a		)
								assert isinstance(converted_args["max_steps"]  ,     a		)

								with pytest.raises(a		):
															_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args		)