



"""simple docstring"""

from __future__ import annotations

import queue




class  _UpperCAmelCase :

 def __init__(  self	: Any						,  lowercase_	: Dict       ):
     snake_case_				:  Optional[int]       =			data
     snake_case_				:  Tuple       =			None
     snake_case_				:  List[Any]       =			None





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




def __lowercase    (							_a					):
    if not isinstance(lowerCamelCase_	,    lowerCamelCase_					) or not node:
        return
    print(node.data	,    end=''','''					)
    pre_order(node.left					)
    pre_order(node.right					)




def __lowercase    (							_a					):
    if not isinstance(lowerCamelCase_	,    lowerCamelCase_					) or not node:
        return
    in_order(node.left					)
    print(node.data	,    end=''','''					)
    in_order(node.right					)




def __lowercase    (							_a					):
    if not isinstance(lowerCamelCase_	,    lowerCamelCase_					) or not node:
        return
    post_order(node.left					)
    post_order(node.right					)
    print(node.data	,    end=''','''					)




def __lowercase    (							_a					):
    if not isinstance(lowerCamelCase_	,    lowerCamelCase_					) or not node:
        return
    snake_case_				:  str       =			queue.Queue()
    q.put(lowerCamelCase_					)
    while not q.empty():
        snake_case_				:  List[str]       =			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 __lowercase    (							_a					):
    if not isinstance(lowerCamelCase_	,    lowerCamelCase_					) or not node:
        return
    snake_case_				:  Dict       =			queue.Queue()
    q.put(lowerCamelCase_					)
    while not q.empty():
        snake_case_				:  List[str]       =			[]
        while not q.empty():
            snake_case_				:  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(lowerCamelCase_					)




def __lowercase    (							_a					):
    if not isinstance(lowerCamelCase_	,    lowerCamelCase_					) or not node:
        return
    snake_case_				:  str       =			[]
    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_					)
            snake_case_				:  Optional[Any]       =			n.left
        # end of while means current node doesn't have left child
        snake_case_				:  Tuple       =			stack.pop()
        # start to traverse its right child
        snake_case_				:  Union[str, Any]       =			n.right




def __lowercase    (							_a					):
    if not isinstance(lowerCamelCase_	,    lowerCamelCase_					) or not node:
        return
    snake_case_				:  str       =			[]
    snake_case_				:  Union[str, Any]       =			node
    while n or stack:
        while n:
            stack.append(lowerCamelCase_					)
            snake_case_				:  Dict       =			n.left
        snake_case_				:  int       =			stack.pop()
        print(n.data	,    end=''','''					)
        snake_case_				:  Union[str, Any]       =			n.right




def __lowercase    (							_a					):
    if not isinstance(lowerCamelCase_	,    lowerCamelCase_					) or not node:
        return
    snake_case_,			snake_case_				:  Optional[int]       =			[], []
    snake_case_				:  Tuple       =			node
    stacka.append(lowerCamelCase_					)
    while stacka:  # to find the reversed order of post order, store it in stack2
        snake_case_				:  Dict       =			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 __lowercase    (							_a = ""	,    _a=50	,    _a="*"					):
    if not s:
        return "\n" + width * char
    snake_case_,			snake_case_				:  str       =			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'''))

     lowercase__					:						int												=						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"""

from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available




@dataclass
class  _UpperCAmelCase (    lowerCAmelCase__):
 _lowerCAmelCase     :    Union[List[PIL.Image.Image], np.ndarray]
 _lowerCAmelCase     :    Optional[List[bool]]


if is_transformers_available() and is_torch_available():
     from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline





