






"""simple docstring"""






from __future__ import annotations

import queue





class    snake_case_							:



	"""simple docstring"""

	def __init__(   self	,       __a    ):


					"""simple docstring"""

					A__							=							data
					A__							=							None
					A__							=							None





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



def 			__lowerCamelCase       (       lowerCAmelCase__					):


				if not isinstance(SCREAMING_SNAKE_CASE__							,SCREAMING_SNAKE_CASE__					) or not node:
								return
				print(node.data							,end=','					)
				pre_order(node.left					)
				pre_order(node.right					)



def 			__lowerCamelCase       (       lowerCAmelCase__					):


				if not isinstance(SCREAMING_SNAKE_CASE__							,SCREAMING_SNAKE_CASE__					) or not node:
								return
				in_order(node.left					)
				print(node.data							,end=','					)
				in_order(node.right					)



def 			__lowerCamelCase       (       lowerCAmelCase__					):


				if not isinstance(SCREAMING_SNAKE_CASE__							,SCREAMING_SNAKE_CASE__					) or not node:
								return
				post_order(node.left					)
				post_order(node.right					)
				print(node.data							,end=','					)



def 			__lowerCamelCase       (       lowerCAmelCase__					):


				if not isinstance(SCREAMING_SNAKE_CASE__							,SCREAMING_SNAKE_CASE__					) or not node:
								return
				A__							=							queue.Queue()
				q.put(SCREAMING_SNAKE_CASE__					)
				while not q.empty():
								A__							=							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__					):


				if not isinstance(SCREAMING_SNAKE_CASE__							,SCREAMING_SNAKE_CASE__					) or not node:
								return
				A__							=							queue.Queue()
				q.put(SCREAMING_SNAKE_CASE__					)
				while not q.empty():
								A__							=							[]
								while not q.empty():
												A__							=							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(SCREAMING_SNAKE_CASE__					)



def 			__lowerCamelCase       (       lowerCAmelCase__					):


				if not isinstance(SCREAMING_SNAKE_CASE__							,SCREAMING_SNAKE_CASE__					) or not node:
								return
				A__							=							[]
				A__							=							node
				while n or stack:
								while n:  # start from root node, find its left child
												print(n.data							,end=','					)
												stack.append(SCREAMING_SNAKE_CASE__					)
												A__							=							n.left
								# end of while means current node doesn't have left child
								A__							=							stack.pop()
								# start to traverse its right child
								A__							=							n.right



def 			__lowerCamelCase       (       lowerCAmelCase__					):


				if not isinstance(SCREAMING_SNAKE_CASE__							,SCREAMING_SNAKE_CASE__					) or not node:
								return
				A__							=							[]
				A__							=							node
				while n or stack:
								while n:
												stack.append(SCREAMING_SNAKE_CASE__					)
												A__							=							n.left
								A__							=							stack.pop()
								print(n.data							,end=','					)
								A__							=							n.right



def 			__lowerCamelCase       (       lowerCAmelCase__					):


				if not isinstance(SCREAMING_SNAKE_CASE__							,SCREAMING_SNAKE_CASE__					) or not node:
								return
				A__							=							[], []
				A__							=							node
				stacka.append(SCREAMING_SNAKE_CASE__					)
				while stacka:  # to find the reversed order of post order, store it in stack2
								A__							=							stacka.pop()
								if n.left:
												stacka.append(n.left					)
								if n.right:
												stacka.append(n.right					)
								stacka.append(SCREAMING_SNAKE_CASE__					)
				while stacka:  # pop up from stack2 will be the post order
								print(stacka.pop().data							,end=','					)



def 			__lowerCamelCase       (       lowerCAmelCase__ = ""							,lowerCAmelCase__=50							,lowerCAmelCase__="*"					):


				if not s:
								return "\n" + width * char
				A__							=							divmod(width - len(SCREAMING_SNAKE_CASE__					) - 2							,2					)
				return f'''{left * char} {s} {(left + extra) * char}'''


if __name__ == "__main__":
					import doctest

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

					SCREAMING_SNAKE_CASE    :    List[str]        =							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 typing import Optional

import torch
from torch import nn

from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
from .modeling_utils import ModelMixin






@dataclass
class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						42







class 	snake_case__       (      __SCREAMING_SNAKE_CASE    ,					__SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		@register_to_config
		def __init__(      self				:			List[str]  ,	UpperCamelCase__				:			int = 16  ,	UpperCamelCase__				:			int = 88  ,	UpperCamelCase__				:			Optional[int] = None  ,	UpperCamelCase__				:			Optional[int] = None  ,	UpperCamelCase__				:			int = 1  ,	UpperCamelCase__				:			float = 0.0  ,	UpperCamelCase__				:			int = 32  ,	UpperCamelCase__				:			Optional[int] = None  ,	UpperCamelCase__				:			bool = False  ,	UpperCamelCase__				:			Optional[int] = None  ,	UpperCamelCase__				:			str = "geglu"  ,	UpperCamelCase__				:			bool = True  ,	UpperCamelCase__				:			bool = True  ,	)						->			List[Any]:






				"""simple docstring"""







				super().__init__()
				snake_case  :       Optional[int]     			=						num_attention_heads
				snake_case  :       int     			=						attention_head_dim
				snake_case  :       Dict     			=						num_attention_heads * attention_head_dim

				snake_case  :       Tuple     			=						in_channels

				snake_case  :       Optional[int]     			=						torch.nn.GroupNorm(num_groups=UpperCamelCase__  ,	num_channels=UpperCamelCase__  ,	eps=1e-6  ,	affine=UpperCamelCase__      )
				snake_case  :       List[Any]     			=						nn.Linear(UpperCamelCase__  ,	UpperCamelCase__      )

				# 3. Define transformers blocks
				snake_case  :       Union[str, Any]     			=						nn.ModuleList(
				    [
				        BasicTransformerBlock(
				            UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__  ,	dropout=UpperCamelCase__  ,	cross_attention_dim=UpperCamelCase__  ,	activation_fn=UpperCamelCase__  ,	attention_bias=UpperCamelCase__  ,	double_self_attention=UpperCamelCase__  ,	norm_elementwise_affine=UpperCamelCase__  ,	)
				        for d in range(UpperCamelCase__      )
				    ]      )

				snake_case  :       Any     			=						nn.Linear(UpperCamelCase__  ,	UpperCamelCase__      )



		def       lowerCAmelCase				(      self				:			List[str]  ,	UpperCamelCase__				:			Tuple  ,	UpperCamelCase__				:			Any=None  ,	UpperCamelCase__				:			Dict=None  ,	UpperCamelCase__				:			Dict=None  ,	UpperCamelCase__				:			Union[str, Any]=1  ,	UpperCamelCase__				:			Optional[int]=None  ,	UpperCamelCase__				:			bool = True  ,	)						->			Any:






				"""simple docstring"""







				snake_case			,snake_case			,snake_case			,snake_case  :       Tuple     			=						hidden_states.shape
				snake_case  :       List[Any]     			=						batch_frames // num_frames

				snake_case  :       Union[str, Any]     			=						hidden_states

				snake_case  :       Optional[Any]     			=						hidden_states[None, :].reshape(UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__      )
				snake_case  :       int     			=						hidden_states.permute(0  ,	2  ,	1  ,	3  ,	4      )

				snake_case  :       Tuple     			=						self.norm(UpperCamelCase__      )
				snake_case  :       Union[str, Any]     			=						hidden_states.permute(0  ,	3  ,	4  ,	2  ,	1      ).reshape(batch_size * height * width  ,	UpperCamelCase__  ,	UpperCamelCase__      )

				snake_case  :       Optional[Any]     			=						self.proj_in(UpperCamelCase__      )

				# 2. Blocks
				for block in self.transformer_blocks:
						snake_case  :       Union[str, Any]     			=						block(
						    UpperCamelCase__  ,	encoder_hidden_states=UpperCamelCase__  ,	timestep=UpperCamelCase__  ,	cross_attention_kwargs=UpperCamelCase__  ,	class_labels=UpperCamelCase__  ,	)

				# 3. Output
				snake_case  :       Dict     			=						self.proj_out(UpperCamelCase__      )
				snake_case  :       Tuple     			=						(
				    hidden_states[None, None, :]
				    .reshape(UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__      )
				    .permute(0  ,	3  ,	4  ,	1  ,	2      )
				    .contiguous()
				)
				snake_case  :       List[Any]     			=						hidden_states.reshape(UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__      )

				snake_case  :       Any     			=						hidden_states + residual

				if not return_dict:
						return (output,)

				return TransformerTemporalModelOutput(sample=UpperCamelCase__      )


