


'''simple docstring'''



from __future__ import annotations

import queue


class 						_snake_case    :




					def __init__(					self							,							_lowerCamelCase):
								UpperCAmelCase__     :    int         =   data
								UpperCAmelCase__     :    Tuple         =   None
								UpperCAmelCase__     :    Optional[int]         =   None







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







def 			_UpperCamelCase					(						UpperCamelCase__    ):



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







def 			_UpperCamelCase					(						UpperCamelCase__    ):



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







def 			_UpperCamelCase					(						UpperCamelCase__    ):



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







def 			_UpperCamelCase					(						UpperCamelCase__    ):



			if not isinstance(A__       ,					A__    ) or not node:
						return
			UpperCAmelCase__     :    Dict         =   queue.Queue()
			q.put(A__    )
			while not q.empty():
						UpperCAmelCase__     :    Dict         =   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 			_UpperCamelCase					(						UpperCamelCase__    ):



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







def 			_UpperCamelCase					(						UpperCamelCase__    ):



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







def 			_UpperCamelCase					(						UpperCamelCase__    ):



			if not isinstance(A__       ,					A__    ) or not node:
						return
			UpperCAmelCase__     :    List[Any]         =   []
			UpperCAmelCase__     :    str         =   node
			while n or stack:
						while n:
									stack.append(A__    )
									UpperCAmelCase__     :    Union[str, Any]         =   n.left
						UpperCAmelCase__     :    Tuple         =   stack.pop()
						print(n.data       ,					end=""","""    )
						UpperCAmelCase__     :    int         =   n.right







def 			_UpperCamelCase					(						UpperCamelCase__    ):



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







def 			_UpperCamelCase					(						UpperCamelCase__ = ""       ,					UpperCamelCase__=5_0       ,					UpperCamelCase__="*"    ):



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


if __name__ == "__main__":
		import doctest

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

		__A		=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())





import os
import warnings
from typing import List, Optional

from ...tokenization_utils_base import BatchEncoding
from ...utils import logging
from .configuration_rag import RagConfig


UpperCAmelCase_									=	logging.get_logger(__name__)





class     lowerCamelCase__:
      def __init__(				self: Any    ,       UpperCamelCase_: str    ,       UpperCamelCase_: Dict   ):
             __lowerCamelCase   =						question_encoder
             __lowerCamelCase   =						generator
             __lowerCamelCase   =						self.question_encoder
      def 			lowerCAmelCase__						(				self: List[str]    ,       UpperCamelCase_: Optional[Any]   ):
             if os.path.isfile(UpperCamelCase_   ):
                    raise ValueError(F'Provided path ({save_directory}) should be a directory, not a file'   )
             os.makedirs(UpperCamelCase_    ,       exist_ok=UpperCamelCase_   )
             __lowerCamelCase   =						os.path.join(UpperCamelCase_    ,       """question_encoder_tokenizer"""   )
             __lowerCamelCase   =						os.path.join(UpperCamelCase_    ,       """generator_tokenizer"""   )
             self.question_encoder.save_pretrained(UpperCamelCase_   )
             self.generator.save_pretrained(UpperCamelCase_   )
      @classmethod
      def 			lowerCAmelCase__						(				cls: List[Any]    ,       UpperCamelCase_: Dict    ,       **UpperCamelCase_: Union[str, Any]   ):
             # dynamically import AutoTokenizer
             from ..auto.tokenization_auto import AutoTokenizer

             __lowerCamelCase   =						kwargs.pop("""config"""    ,       UpperCamelCase_   )

             if config is None:
                    __lowerCamelCase   =						RagConfig.from_pretrained(UpperCamelCase_   )

             __lowerCamelCase   =						AutoTokenizer.from_pretrained(
                 UpperCamelCase_    ,       config=config.question_encoder    ,       subfolder="""question_encoder_tokenizer"""   )
             __lowerCamelCase   =						AutoTokenizer.from_pretrained(
                 UpperCamelCase_    ,       config=config.generator    ,       subfolder="""generator_tokenizer"""   )
             return cls(question_encoder=UpperCamelCase_    ,       generator=UpperCamelCase_   )
      def __call__(				self: Tuple    ,       *UpperCamelCase_: int    ,       **UpperCamelCase_: int   ):
             return self.current_tokenizer(*UpperCamelCase_    ,       **UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: Tuple    ,       *UpperCamelCase_: List[Any]    ,       **UpperCamelCase_: List[Any]   ):
             return self.generator.batch_decode(*UpperCamelCase_    ,       **UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: Optional[Any]    ,       *UpperCamelCase_: str    ,       **UpperCamelCase_: Union[str, Any]   ):
             return self.generator.decode(*UpperCamelCase_    ,       **UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: str   ):
             __lowerCamelCase   =						self.question_encoder
      def 			lowerCAmelCase__						(				self: Optional[int]   ):
             __lowerCamelCase   =						self.generator




      def 			lowerCAmelCase__						(				self: Tuple    ,       UpperCamelCase_: List[str]    ,       UpperCamelCase_: Optional[List[str]] = None    ,       UpperCamelCase_: Optional[int] = None    ,       UpperCamelCase_: Optional[int] = None    ,       UpperCamelCase_: str = "longest"    ,       UpperCamelCase_: str = None    ,       UpperCamelCase_: bool = True    ,       **UpperCamelCase_: int    ,       ):
             warnings.warn(
                 """`prepare_seq2seq_batch` is deprecated and will be removed in version 5 of 🤗 Transformers. Use the """
                 """regular `__call__` method to prepare your inputs and the tokenizer under the `with_target_tokenizer` """
                 """context manager to prepare your targets. See the documentation of your specific tokenizer for more """
                 """details"""    ,       UpperCamelCase_    ,       )
             if max_length is None:
                    __lowerCamelCase   =						self.current_tokenizer.model_max_length
             __lowerCamelCase   =						self(
                 UpperCamelCase_    ,       add_special_tokens=UpperCamelCase_    ,       return_tensors=UpperCamelCase_    ,       max_length=UpperCamelCase_    ,       padding=UpperCamelCase_    ,       truncation=UpperCamelCase_    ,       **UpperCamelCase_    ,       )
             if tgt_texts is None:
                    return model_inputs
             # Process tgt_texts
             if max_target_length is None:
                    __lowerCamelCase   =						self.current_tokenizer.model_max_length
             __lowerCamelCase   =						self(
                 text_target=UpperCamelCase_    ,       add_special_tokens=UpperCamelCase_    ,       return_tensors=UpperCamelCase_    ,       padding=UpperCamelCase_    ,       max_length=UpperCamelCase_    ,       truncation=UpperCamelCase_    ,       **UpperCamelCase_    ,       )
             __lowerCamelCase   =						labels["""input_ids"""]
             return model_inputs

