






"""simple docstring"""
from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any



@dataclass
class      SCREAMING_SNAKE_CASE  :





	"""simple docstring"""




	_A       :				int
	_A       :				Node | None    =				None
	_A       :				Node | None    =				None






def 			__UpperCamelCase	(		):
	A_		:						Optional[Any]	    =   Node(1					)
	A_		:						Union[str, Any]	    =   Node(2					)
	A_		:						Optional[int]	    =   Node(3					)
	A_		:						Optional[int]	    =   Node(4					)
	A_		:						List[Any]	    =   Node(5					)
	return tree






def 			__UpperCamelCase	(		snake_case__					):
	return [root.data, *preorder(root.left					), *preorder(root.right					)] if root else []






def 			__UpperCamelCase	(		snake_case__					):
	return postorder(root.left					) + postorder(root.right					) + [root.data] if root else []






def 			__UpperCamelCase	(		snake_case__					):
	return [*inorder(root.left					), root.data, *inorder(root.right					)] if root else []






def 			__UpperCamelCase	(		snake_case__					):
	return (max(height(root.left					)   ,   height(root.right					)					) + 1) if root else 0






def 			__UpperCamelCase	(		snake_case__					):
	A_		:						list[Any]	    =   []

	if root is None:
		return output

	A_		:						int	    =   deque([root]					)

	while process_queue:
		A_		:						int	    =   process_queue.popleft()
		output.append(node.data					)

		if node.left:
			process_queue.append(node.left					)
		if node.right:
			process_queue.append(node.right					)
	return output






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__					):
	A_		:						list[Any]	    =   []

	def populate_output(snake_case__   ,   snake_case__					) -> None:
		if not root:
			return
		if level == 1:
			output.append(root.data					)
		elif level > 1:
			populate_output(root.left   ,   level - 1					)
			populate_output(root.right   ,   level - 1					)

	populate_output(lowerCamelCase__   ,   lowerCamelCase__					)
	return output






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__					):
	A_		:						list[Any]	    =   []

	def populate_output(snake_case__   ,   snake_case__					) -> None:
		if root is None:
			return
		if level == 1:
			output.append(root.data					)
		elif level > 1:
			populate_output(root.right   ,   level - 1					)
			populate_output(root.left   ,   level - 1					)

	populate_output(lowerCamelCase__   ,   lowerCamelCase__					)
	return output






def 			__UpperCamelCase	(		snake_case__					):


	if root is None:
		return []

	A_		:						list[Sequence[Node | None]]	    =   []

	A_		:						str	    =   0
	A_		:						Tuple	    =   height(lowerCamelCase__					)

	for h in range(1   ,   height_tree + 1					):
		if not flag:
			output.append(get_nodes_from_left_to_right(lowerCamelCase__   ,   lowerCamelCase__					)					)
			A_		:						Union[str, Any]	    =   1
		else:
			output.append(get_nodes_from_right_to_left(lowerCamelCase__   ,   lowerCamelCase__					)					)
			A_		:						Optional[int]	    =   0

	return output






def 			__UpperCamelCase	(		):  # Main function for testing.
	A_		:						int	    =   make_tree()
	print(F"""In-order Traversal: {inorder(lowerCamelCase__					)}"""					)
	print(F"""Pre-order Traversal: {preorder(lowerCamelCase__					)}"""					)
	print(F"""Post-order Traversal: {postorder(lowerCamelCase__					)}"""   ,   """\n"""					)

	print(F"""Height of Tree: {height(lowerCamelCase__					)}"""   ,   """\n"""					)

	print("""Complete Level Order Traversal: """					)
	print(level_order(lowerCamelCase__					)   ,   """\n"""					)

	print("""Level-wise order Traversal: """					)

	for level in range(1   ,   height(lowerCamelCase__					) + 1					):
		print(F"""Level {level}:"""   ,   get_nodes_from_left_to_right(lowerCamelCase__   ,   level=lowerCamelCase__					)					)

	print("""\nZigZag order Traversal: """					)
	print(zigzag(lowerCamelCase__					)					)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()









"""simple docstring"""
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding



class      SCREAMING_SNAKE_CASE  (				_SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




	_A       :				Optional[int]    =				["""image_processor""", """tokenizer"""]
	_A       :				str    =				"""AutoImageProcessor"""
	_A       :				Union[str, Any]    =				"""AutoTokenizer"""





	def __init__(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_							):
		super().__init__(lowerCAmelCase_     ,     lowerCAmelCase_							)
		A_		:						Union[str, Any]	    =   self.image_processor





	def __call__(self     ,     lowerCAmelCase_=None     ,     lowerCAmelCase_=None     ,     lowerCAmelCase_=None     ,     **lowerCAmelCase_							):

		if text is None and images is None:
			raise ValueError("""You have to specify either text or images. Both cannot be none."""							)

		if text is not None:
			A_		:						Optional[int]	    =   self.tokenizer(lowerCAmelCase_     ,     return_tensors=lowerCAmelCase_     ,     **lowerCAmelCase_							)

		if images is not None:
			A_		:						List[Any]	    =   self.image_processor(lowerCAmelCase_     ,     return_tensors=lowerCAmelCase_     ,     **lowerCAmelCase_							)

		if text is not None and images is not None:
			A_		:						int	    =   image_features.pixel_values
			return encoding
		elif text is not None:
			return encoding
		else:
			return BatchEncoding(data=dict(**lowerCAmelCase_							)     ,     tensor_type=lowerCAmelCase_							)





	def    lowerCamelCase(self     ,     *lowerCAmelCase_     ,     **lowerCAmelCase_							):
		return self.tokenizer.batch_decode(*lowerCAmelCase_     ,     **lowerCAmelCase_							)





	def    lowerCamelCase(self     ,     *lowerCAmelCase_     ,     **lowerCAmelCase_							):
		return self.tokenizer.decode(*lowerCAmelCase_     ,     **lowerCAmelCase_							)





	@property
	def    lowerCamelCase(self							):
		return ["input_ids", "attention_mask", "pixel_values"]

