

'''simple docstring'''





from __future__ import annotations

import queue





class 		__SCREAMING_SNAKE_CASE       :







				def __init__(					self    :		Tuple		,				UpperCAmelCase__    :		int      ):
										'''simple docstring'''
										lowercase   :       int								=data
										lowercase   :       Tuple								=None
										lowercase   :       Dict								=None






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






def 							_lowerCAmelCase (      __magic_name__	:    TreeNode	)							->     None:
						if not isinstance(__magic_name__      ,   __magic_name__	) or not node:
												return
						print(node.data      ,   end=''','''	)
						pre_order(node.left	)
						pre_order(node.right	)






def 							_lowerCAmelCase (      __magic_name__	:    TreeNode	)							->     None:
						if not isinstance(__magic_name__      ,   __magic_name__	) or not node:
												return
						in_order(node.left	)
						print(node.data      ,   end=''','''	)
						in_order(node.right	)






def 							_lowerCAmelCase (      __magic_name__	:    TreeNode	)							->     None:
						if not isinstance(__magic_name__      ,   __magic_name__	) or not node:
												return
						post_order(node.left	)
						post_order(node.right	)
						print(node.data      ,   end=''','''	)






def 							_lowerCAmelCase (      __magic_name__	:    TreeNode	)							->     None:
						if not isinstance(__magic_name__      ,   __magic_name__	) or not node:
												return
						lowercase   :       queue.Queue								=queue.Queue()
						q.put(__magic_name__	)
						while not q.empty():
												lowercase   :       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 (      __magic_name__	:    TreeNode	)							->     None:
						if not isinstance(__magic_name__      ,   __magic_name__	) or not node:
												return
						lowercase   :       queue.Queue								=queue.Queue()
						q.put(__magic_name__	)
						while not q.empty():
												lowercase   :       Dict								=[]
												while not q.empty():
																		lowercase   :       Tuple								=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(__magic_name__	)






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






def 							_lowerCAmelCase (      __magic_name__	:    TreeNode	)							->     None:
						if not isinstance(__magic_name__      ,   __magic_name__	) or not node:
												return
						lowercase   :       list[TreeNode]								=[]
						lowercase   :       List[str]								=node
						while n or stack:
												while n:
																		stack.append(__magic_name__	)
																		lowercase   :       Dict								=n.left
												lowercase   :       Union[str, Any]								=stack.pop()
												print(n.data      ,   end=''','''	)
												lowercase   :       Tuple								=n.right






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






def 							_lowerCAmelCase (      __magic_name__	:    str = ""      ,   __magic_name__	:    str=50      ,   __magic_name__	:    Dict="*"	)							->     str:
						if not s:
												return "\n" + width * char
						lowercase		,  lowercase   :       List[str]								=divmod(width - len(__magic_name__	) - 2      ,   2	)
						return f'''{left * char} {s} {(left + extra) * char}'''


if __name__ == "__main__":
							import doctest

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

							UpperCamelCase_							=					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'''





import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


if TYPE_CHECKING:
							from ... import PreTrainedTokenizerBase, TensorType

UpperCamelCase_							=					logging.get_logger(__name__)





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):
				lowerCamelCase_							=						'vision-encoder-decoder'
				lowerCamelCase_							=						True







				def __init__(					self    :		Optional[int]		,				**UpperCAmelCase__    :		Tuple      ):
										'''simple docstring'''
										super().__init__(**UpperCAmelCase__      )
										if "encoder" not in kwargs or "decoder" not in kwargs:
																raise ValueError(
																    F'''A configuraton of type {self.model_type} cannot be instantiated because '''
																    F'''not both `encoder` and `decoder` sub-configurations are passed, but only {kwargs}'''      )

										lowercase   :       Optional[Any]								=kwargs.pop('''encoder'''      )
										lowercase   :       List[Any]								=encoder_config.pop('''model_type'''      )
										lowercase   :       List[str]								=kwargs.pop('''decoder'''      )
										lowercase   :       Dict								=decoder_config.pop('''model_type'''      )

										lowercase   :       Union[str, Any]								=AutoConfig.for_model(UpperCAmelCase__		,				**UpperCAmelCase__      )
										lowercase   :       List[str]								=AutoConfig.for_model(UpperCAmelCase__		,				**UpperCAmelCase__      )
										lowercase   :       str								=True







				@classmethod
				def    lowerCamelCase_  (					cls    :		List[str]		,				UpperCAmelCase__    :		PretrainedConfig		,				UpperCAmelCase__    :		PretrainedConfig		,				**UpperCAmelCase__    :		Optional[int]      ):
										'''simple docstring'''
										logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''      )
										lowercase   :       int								=True
										lowercase   :       Optional[Any]								=True

										return cls(encoder=encoder_config.to_dict()		,				decoder=decoder_config.to_dict()		,				**UpperCAmelCase__      )







				def    lowerCamelCase_  (					self    :		Union[str, Any]      ):
										'''simple docstring'''
										lowercase   :       int								=copy.deepcopy(self.__dict__      )
										lowercase   :       Union[str, Any]								=self.encoder.to_dict()
										lowercase   :       Union[str, Any]								=self.decoder.to_dict()
										lowercase   :       int								=self.__class__.model_type
										return output





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):
				lowerCamelCase_							=						version.parse('1.11'			)







				@property
				def    lowerCamelCase_  (					self    :		Dict      ):
										'''simple docstring'''
										return OrderedDict(
										    [
										        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
										    ]      )







				@property
				def    lowerCamelCase_  (					self    :		str      ):
										'''simple docstring'''
										return 1E-4







				@property
				def    lowerCamelCase_  (					self    :		List[str]      ):
										'''simple docstring'''
										return OrderedDict({'''last_hidden_state''': {0: '''batch''', 1: '''encoder_sequence'''}}      )





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):







				@property
				def    lowerCamelCase_  (					self    :		int      ):
										'''simple docstring'''
										lowercase   :       List[str]								=OrderedDict()
										lowercase   :       Tuple								={0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
										lowercase   :       Optional[int]								={0: '''batch''', 1: '''past_decoder_sequence + sequence'''}
										lowercase   :       int								={0: '''batch''', 1: '''encoder_sequence'''}

										return common_inputs







				def    lowerCamelCase_  (					self    :		Optional[int]		,				UpperCAmelCase__    :		"PreTrainedTokenizerBase"		,				UpperCAmelCase__    :		int = -1		,				UpperCAmelCase__    :		int = -1		,				UpperCAmelCase__    :		bool = False		,				UpperCAmelCase__    :		Optional["TensorType"] = None		,				):
										'''simple docstring'''
										import torch

										lowercase   :       Optional[Any]								=OrderedDict()

										lowercase   :       List[Any]								=super().generate_dummy_inputs(
										    UpperCAmelCase__		,				batch_size=UpperCAmelCase__		,				seq_length=UpperCAmelCase__		,				is_pair=UpperCAmelCase__		,				framework=UpperCAmelCase__      )

										lowercase		,  lowercase   :       Optional[int]								=dummy_input['''input_ids'''].shape
										lowercase   :       Union[str, Any]								=(batch, encoder_sequence, self._config.encoder_hidden_size)
										lowercase   :       List[str]								=dummy_input.pop('''input_ids'''      )
										lowercase   :       Tuple								=dummy_input.pop('''attention_mask'''      )
										lowercase   :       Union[str, Any]								=torch.zeros(UpperCAmelCase__      )

										return common_inputs





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):







				@property
				def    lowerCamelCase_  (					self    :		int      ):
										'''simple docstring'''
										pass







				def    lowerCamelCase_  (					self    :		List[Any]		,				UpperCAmelCase__    :		PretrainedConfig      ):
										'''simple docstring'''
										return VisionEncoderDecoderEncoderOnnxConfig(UpperCAmelCase__      )







				def    lowerCamelCase_  (					self    :		Optional[int]		,				UpperCAmelCase__    :		PretrainedConfig		,				UpperCAmelCase__    :		PretrainedConfig		,				UpperCAmelCase__    :		str = "default"      ):
										'''simple docstring'''
										lowercase   :       List[Any]								=encoder_config.hidden_size
										return VisionEncoderDecoderDecoderOnnxConfig(UpperCAmelCase__		,				UpperCAmelCase__      )





