

from __future__ import annotations

import queue



class        _a		:


					'''simple docstring'''






					def __init__(					self       ,			A__     ):
						A__				:       Union[str, Any]	  =						data
						A__				:       Dict	  =						None
						A__				:       Any	  =						None



def 		UpperCamelCase   ()	-> TreeNode:
	print("""\n********Press N to stop entering at any point of time********\n"""   )
	A__				:       Tuple	  =						input("""Enter the value of the root node: """   ).strip().lower()
	A__				:       queue.Queue	  =						queue.Queue()
	A__				:       Dict	  =						TreeNode(int(lowercase_   )   )
	q.put(lowercase_   )
	while not q.empty():
		A__				:       int	  =						q.get()
		A__				:       str	  =						f"""Enter the left node of {node_found.data}: """
		A__				:       Dict	  =						input(lowercase_   ).strip().lower() or """n"""
		if check == "n":
			return tree_node
		A__				:       int	  =						TreeNode(int(lowercase_   )   )
		A__				:       List[str]	  =						left_node
		q.put(lowercase_   )
		A__				:       int	  =						f"""Enter the right node of {node_found.data}: """
		A__				:       Dict	  =						input(lowercase_   ).strip().lower() or """n"""
		if check == "n":
			return tree_node
		A__				:       str	  =						TreeNode(int(lowercase_   )   )
		A__				:       Tuple	  =						right_node
		q.put(lowercase_   )
	raise

def 		UpperCamelCase   (lowercase_:					TreeNode   )	-> None:
	if not isinstance(lowercase_       , lowercase_   ) or not node:
		return
	print(node.data       , end=""","""   )
	pre_order(node.left   )
	pre_order(node.right   )

def 		UpperCamelCase   (lowercase_:					TreeNode   )	-> None:
	if not isinstance(lowercase_       , lowercase_   ) or not node:
		return
	in_order(node.left   )
	print(node.data       , end=""","""   )
	in_order(node.right   )

def 		UpperCamelCase   (lowercase_:					TreeNode   )	-> None:
	if not isinstance(lowercase_       , lowercase_   ) or not node:
		return
	post_order(node.left   )
	post_order(node.right   )
	print(node.data       , end=""","""   )

def 		UpperCamelCase   (lowercase_:					TreeNode   )	-> None:
	if not isinstance(lowercase_       , lowercase_   ) or not node:
		return
	A__				:       queue.Queue	  =						queue.Queue()
	q.put(lowercase_   )
	while not q.empty():
		A__				:       Tuple	  =						q.get()
		print(node_dequeued.data       , end=""","""   )
		if node_dequeued.left:
			q.put(node_dequeued.left   )
		if node_dequeued.right:
			q.put(node_dequeued.right   )

def 		UpperCamelCase   (lowercase_:					TreeNode   )	-> None:
	if not isinstance(lowercase_       , lowercase_   ) or not node:
		return
	A__				:       queue.Queue	  =						queue.Queue()
	q.put(lowercase_   )
	while not q.empty():
		A__				:       List[Any]	  =						[]
		while not q.empty():
			A__				:       List[str]	  =						q.get()
			print(node_dequeued.data       , end=""","""   )
			if node_dequeued.left:
				list_.append(node_dequeued.left   )
			if node_dequeued.right:
				list_.append(node_dequeued.right   )
		print()
		for node in list_:
			q.put(lowercase_   )

def 		UpperCamelCase   (lowercase_:					TreeNode   )	-> None:
	if not isinstance(lowercase_       , lowercase_   ) or not node:
		return
	A__				:       list[TreeNode]	  =						[]
	A__				:       str	  =						node
	while n or stack:
		while n:  # start from root node, find its left child
			print(n.data       , end=""","""   )
			stack.append(lowercase_   )
			A__				:       Any	  =						n.left
		# end of while means current node doesn't have left child
		A__				:       Any	  =						stack.pop()
		# start to traverse its right child
		A__				:       Dict	  =						n.right

def 		UpperCamelCase   (lowercase_:					TreeNode   )	-> None:
	if not isinstance(lowercase_       , lowercase_   ) or not node:
		return
	A__				:       list[TreeNode]	  =						[]
	A__				:       int	  =						node
	while n or stack:
		while n:
			stack.append(lowercase_   )
			A__				:       str	  =						n.left
		A__				:       Dict	  =						stack.pop()
		print(n.data       , end=""","""   )
		A__				:       Union[str, Any]	  =						n.right

def 		UpperCamelCase   (lowercase_:					TreeNode   )	-> None:
	if not isinstance(lowercase_       , lowercase_   ) or not node:
		return
	A__  ,  A__				:       Any	  =						[], []
	A__				:       Dict	  =						node
	stacka.append(lowercase_   )
	while stacka:  # to find the reversed order of post order, store it in stack2
		A__				:       List[Any]	  =						stacka.pop()
		if n.left:
			stacka.append(n.left   )
		if n.right:
			stacka.append(n.right   )
		stacka.append(lowercase_   )
	while stacka:  # pop up from stack2 will be the post order
		print(stacka.pop().data       , end=""","""   )

def 		UpperCamelCase   (lowercase_:					str = ""       , lowercase_:					Optional[Any]=50       , lowercase_:					Optional[Any]="*"   )	-> str:
	if not s:
		return "\n" + width * char
	A__  ,  A__				:       Any	  =						divmod(width - len(lowercase_   ) - 2       , 2   )
	return f"""{left * char} {s} {(left + extra) * char}"""


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	print(prompt('Binary Tree Traversals'))

	A_			:					TreeNode    			=     build_tree()
	print(prompt('Pre Order Traversal'))
	pre_order(node)
	print(prompt() + '\n')

	print(prompt('In Order Traversal'))
	in_order(node)
	print(prompt() + '\n')

	print(prompt('Post Order Traversal'))
	post_order(node)
	print(prompt() + '\n')

	print(prompt('Level Order Traversal'))
	level_order(node)
	print(prompt() + '\n')

	print(prompt('Actual Level Order Traversal'))
	level_order_actual(node)
	print('*' * 50 + '\n')

	print(prompt('Pre Order Traversal - Iteration Version'))
	pre_order_iter(node)
	print(prompt() + '\n')

	print(prompt('In Order Traversal - Iteration Version'))
	in_order_iter(node)
	print(prompt() + '\n')

	print(prompt('Post Order Traversal - Iteration Version'))
	post_order_iter(node)
	print(prompt())






import unittest

from transformers import load_tool
from transformers.utils import is_torch_available


if is_torch_available():
	import torch

from transformers.testing_utils import require_torch

from .test_tools_common import ToolTesterMixin



@require_torch
class        _a		(unittest.TestCase						,  __magic_name__							):


					'''simple docstring'''






					def     __A     (					self     ):
						A__				:       List[str]	  =						load_tool("""text-to-speech"""     )
						self.tool.setup()






					def     __A     (					self     ):
						# SpeechT5 isn't deterministic
						torch.manual_seed(0     )
						A__				:       Tuple	  =						self.tool("""hey"""     )
						A__				:       Tuple	  =						result.to_raw()
						self.assertTrue(
						    torch.allclose(
						        resulting_tensor[:3]       ,			torch.tensor([-0.0_0_0_5_9_6_6_6_6_8_8_3_2_1_1_5_8_2_9, -0.0_0_0_3_6_5_7_6_4_0_1_9_0_7_9_5_0_6_4, -0.0_0_0_1_3_4_3_9_5_0_2_7_9_9_8_8_3_4_8_5]     )       ,			)     )






					def     __A     (					self     ):
						# SpeechT5 isn't deterministic
						torch.manual_seed(0     )
						A__				:       Any	  =						self.tool("""hey"""     )
						A__				:       Optional[Any]	  =						result.to_raw()
						self.assertTrue(
						    torch.allclose(
						        resulting_tensor[:3]       ,			torch.tensor([-0.0_0_0_5_9_6_6_6_6_8_8_3_2_1_1_5_8_2_9, -0.0_0_0_3_6_5_7_6_4_0_1_9_0_7_9_5_0_6_4, -0.0_0_0_1_3_4_3_9_5_0_2_7_9_9_8_8_3_4_8_5]     )       ,			)     )



