



'''simple docstring'''




from __future__ import annotations

import queue






class 		_UpperCamelCase						:


			'''simple docstring'''

			def __init__(							self  :				Optional[int]							,  lowerCAmelCase__  :				Dict		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	List[str]					 =	data
					__SCREAMING_SNAKE_CASE :	Tuple					 =	None
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	None


def        lowerCAmelCase_     (			):
		print("""\n********Press N to stop entering at any point of time********\n"""      )
		__SCREAMING_SNAKE_CASE :	Optional[int]					 =	input("""Enter the value of the root node: """      ).strip().lower()
		__SCREAMING_SNAKE_CASE :	queue.Queue					 =	queue.Queue()
		__SCREAMING_SNAKE_CASE :	Optional[int]					 =	TreeNode(int(_lowerCamelCase      )      )
		q.put(_lowerCamelCase      )
		while not q.empty():
				__SCREAMING_SNAKE_CASE :	List[Any]					 =	q.get()
				__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	F"Enter the left node of {node_found.data}: "
				__SCREAMING_SNAKE_CASE :	int					 =	input(_lowerCamelCase      ).strip().lower() or """n"""
				if check == "n":
						return tree_node
				__SCREAMING_SNAKE_CASE :	Optional[int]					 =	TreeNode(int(_lowerCamelCase      )      )
				__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	left_node
				q.put(_lowerCamelCase      )
				__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	F"Enter the right node of {node_found.data}: "
				__SCREAMING_SNAKE_CASE :	List[str]					 =	input(_lowerCamelCase      ).strip().lower() or """n"""
				if check == "n":
						return tree_node
				__SCREAMING_SNAKE_CASE :	List[Any]					 =	TreeNode(int(_lowerCamelCase      )      )
				__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	right_node
				q.put(_lowerCamelCase      )
		raise


def        lowerCAmelCase_     (			_lowerCamelCase:     TreeNode      ):
		if not isinstance(_lowerCamelCase ,   _lowerCamelCase      ) or not node:
				return
		print(node.data ,   end=""","""      )
		pre_order(node.left      )
		pre_order(node.right      )


def        lowerCAmelCase_     (			_lowerCamelCase:     TreeNode      ):
		if not isinstance(_lowerCamelCase ,   _lowerCamelCase      ) or not node:
				return
		in_order(node.left      )
		print(node.data ,   end=""","""      )
		in_order(node.right      )


def        lowerCAmelCase_     (			_lowerCamelCase:     TreeNode      ):
		if not isinstance(_lowerCamelCase ,   _lowerCamelCase      ) or not node:
				return
		post_order(node.left      )
		post_order(node.right      )
		print(node.data ,   end=""","""      )


def        lowerCAmelCase_     (			_lowerCamelCase:     TreeNode      ):
		if not isinstance(_lowerCamelCase ,   _lowerCamelCase      ) or not node:
				return
		__SCREAMING_SNAKE_CASE :	queue.Queue					 =	queue.Queue()
		q.put(_lowerCamelCase      )
		while not q.empty():
				__SCREAMING_SNAKE_CASE :	Optional[int]					 =	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        lowerCAmelCase_     (			_lowerCamelCase:     TreeNode      ):
		if not isinstance(_lowerCamelCase ,   _lowerCamelCase      ) or not node:
				return
		__SCREAMING_SNAKE_CASE :	queue.Queue					 =	queue.Queue()
		q.put(_lowerCamelCase      )
		while not q.empty():
				__SCREAMING_SNAKE_CASE :	Any					 =	[]
				while not q.empty():
						__SCREAMING_SNAKE_CASE :	Optional[int]					 =	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(_lowerCamelCase      )


def        lowerCAmelCase_     (			_lowerCamelCase:     TreeNode      ):
		if not isinstance(_lowerCamelCase ,   _lowerCamelCase      ) or not node:
				return
		__SCREAMING_SNAKE_CASE :	list[TreeNode]					 =	[]
		__SCREAMING_SNAKE_CASE :	Optional[int]					 =	node
		while n or stack:
				while n:  # start from root node, find its left child
						print(n.data ,   end=""","""      )
						stack.append(_lowerCamelCase      )
						__SCREAMING_SNAKE_CASE :	Any					 =	n.left
				# end of while means current node doesn't have left child
				__SCREAMING_SNAKE_CASE :	Dict					 =	stack.pop()
				# start to traverse its right child
				__SCREAMING_SNAKE_CASE :	int					 =	n.right


def        lowerCAmelCase_     (			_lowerCamelCase:     TreeNode      ):
		if not isinstance(_lowerCamelCase ,   _lowerCamelCase      ) or not node:
				return
		__SCREAMING_SNAKE_CASE :	list[TreeNode]					 =	[]
		__SCREAMING_SNAKE_CASE :	int					 =	node
		while n or stack:
				while n:
						stack.append(_lowerCamelCase      )
						__SCREAMING_SNAKE_CASE :	int					 =	n.left
				__SCREAMING_SNAKE_CASE :	Dict					 =	stack.pop()
				print(n.data ,   end=""","""      )
				__SCREAMING_SNAKE_CASE :	List[Any]					 =	n.right


def        lowerCAmelCase_     (			_lowerCamelCase:     TreeNode      ):
		if not isinstance(_lowerCamelCase ,   _lowerCamelCase      ) or not node:
				return
		__SCREAMING_SNAKE_CASE ,		__SCREAMING_SNAKE_CASE :	Tuple					 =	[], []
		__SCREAMING_SNAKE_CASE :	str					 =	node
		stacka.append(_lowerCamelCase      )
		while stacka:  # to find the reversed order of post order, store it in stack2
				__SCREAMING_SNAKE_CASE :	str					 =	stacka.pop()
				if n.left:
						stacka.append(n.left      )
				if n.right:
						stacka.append(n.right      )
				stacka.append(_lowerCamelCase      )
		while stacka:  # pop up from stack2 will be the post order
				print(stacka.pop().data ,   end=""","""      )


def        lowerCAmelCase_     (			_lowerCamelCase:     str = "" ,   _lowerCamelCase:     List[Any]=50 ,   _lowerCamelCase:     Optional[int]="*"      ):
		if not s:
				return "\n" + width * char
		__SCREAMING_SNAKE_CASE ,		__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	divmod(width - len(_lowerCamelCase      ) - 2 ,   2      )
		return F"{left * char} {s} {(left + extra) * char}"


if __name__ == "__main__":
						import doctest

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

						UpperCamelCase__ :			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())




'''simple docstring'''




# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# 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.

# this script dumps information about the environment

import os
import sys

import transformers


UpperCamelCase__ :			Tuple												=				'''3'''

print('''Python version:''', sys.version)
print('''transformers version:''', transformers.__version__)

try:
						import torch

						print('''Torch version:''', torch.__version__)
						print('''Cuda available:''', torch.cuda.is_available())
						print('''Cuda version:''', torch.version.cuda)
						print('''CuDNN version:''', torch.backends.cudnn.version())
						print('''Number of GPUs available:''', torch.cuda.device_count())
						print('''NCCL version:''', torch.cuda.nccl.version())
except ImportError:
						print('''Torch version:''', None)

try:
						import deepspeed

						print('''DeepSpeed version:''', deepspeed.__version__)
except ImportError:
						print('''DeepSpeed version:''', None)

try:
						import tensorflow as tf

						print('''TensorFlow version:''', tf.__version__)
						print('''TF GPUs available:''', bool(tf.config.list_physical_devices('''GPU''')))
						print('''Number of TF GPUs available:''', len(tf.config.list_physical_devices('''GPU''')))
except ImportError:
						print('''TensorFlow version:''', None)