





'''simple docstring'''






from __future__ import annotations

import math
import random
from typing import Any




class  _A :

		def __init__(   self					:   Tuple			)					->    None:


					"""simple docstring"""

					__snake_case					:      list[Any]							      =     []
					__snake_case					:      int							      =     0
					__snake_case					:      int							      =     0

		def 	lowercase__     (   self					:   List[str]			)					->    bool:


					"""simple docstring"""

					return self.head == self.tail

		def 	lowercase__     (   self					:   int  ,      __magic_name__					:   Any			)					->    None:


					"""simple docstring"""

					self.data.append(__magic_name__			)
					__snake_case					:      Dict							      =     self.tail + 1

		def 	lowercase__     (   self					:   int			)					->    Any:


					"""simple docstring"""

					__snake_case					:      Optional[int]							      =     self.data[self.head]
					__snake_case					:      Optional[Any]							      =     self.head + 1
					return ret

		def 	lowercase__     (   self					:   str			)					->    int:


					"""simple docstring"""

					return self.tail - self.head

		def 	lowercase__     (   self					:   int			)					->    None:


					"""simple docstring"""

					print(self.data			)
					print("""**************"""			)
					print(self.data[self.head : self.tail]			)





class  _A :

		def __init__(   self					:   str  ,      __magic_name__					:   Any			)					->    None:


					"""simple docstring"""

					__snake_case					:      List[Any]							      =     data
					__snake_case					:      MyNode | None							      =     None
					__snake_case					:      MyNode | None							      =     None
					__snake_case					:      int							      =     1

		def 	lowercase__     (   self					:   Union[str, Any]			)					->    Any:


					"""simple docstring"""

					return self.data

		def 	lowercase__     (   self					:   Dict			)					->    MyNode | None:


					"""simple docstring"""

					return self.left

		def 	lowercase__     (   self					:   Optional[int]			)					->    MyNode | None:


					"""simple docstring"""

					return self.right

		def 	lowercase__     (   self					:   List[Any]			)					->    int:


					"""simple docstring"""

					return self.height

		def 	lowercase__     (   self					:   Any  ,      __magic_name__					:   Any			)					->    None:


					"""simple docstring"""

					__snake_case					:      Any							      =     data

		def 	lowercase__     (   self					:   Optional[int]  ,      __magic_name__					:   MyNode | None			)					->    None:


					"""simple docstring"""

					__snake_case					:      List[str]							      =     node

		def 	lowercase__     (   self					:   List[Any]  ,      __magic_name__					:   MyNode | None			)					->    None:


					"""simple docstring"""

					__snake_case					:      List[Any]							      =     node

		def 	lowercase__     (   self					:   Optional[Any]  ,      __magic_name__					:   int			)					->    None:


					"""simple docstring"""

					__snake_case					:      Tuple							      =     height







def 					_a						(       _lowerCamelCase ) ->				int:



			"""simple docstring"""


			if node is None:
						return 0
			return node.get_height()







def 					_a						(       _lowerCamelCase    ,	_lowerCamelCase ) ->				int:



			"""simple docstring"""


			if a > b:
						return a
			return b







def 					_a						(       _lowerCamelCase ) ->				MyNode:



			"""simple docstring"""


			print("""left rotation node:"""    ,	node.get_data() )
			__snake_case					:      Optional[Any]							      =     node.get_left()
			assert ret is not None
			node.set_left(ret.get_right() )
			ret.set_right(_lowerCamelCase )
			__snake_case					:      str							      =     my_max(get_height(node.get_right() )    ,	get_height(node.get_left() ) ) + 1
			node.set_height(_lowerCamelCase )
			__snake_case					:      List[Any]							      =     my_max(get_height(ret.get_right() )    ,	get_height(ret.get_left() ) ) + 1
			ret.set_height(_lowerCamelCase )
			return ret







def 					_a						(       _lowerCamelCase ) ->				MyNode:



			"""simple docstring"""


			print("""right rotation node:"""    ,	node.get_data() )
			__snake_case					:      Optional[Any]							      =     node.get_right()
			assert ret is not None
			node.set_right(ret.get_left() )
			ret.set_left(_lowerCamelCase )
			__snake_case					:      Tuple							      =     my_max(get_height(node.get_right() )    ,	get_height(node.get_left() ) ) + 1
			node.set_height(_lowerCamelCase )
			__snake_case					:      Any							      =     my_max(get_height(ret.get_right() )    ,	get_height(ret.get_left() ) ) + 1
			ret.set_height(_lowerCamelCase )
			return ret







def 					_a						(       _lowerCamelCase ) ->				MyNode:



			"""simple docstring"""


			__snake_case					:      str							      =     node.get_left()
			assert left_child is not None
			node.set_left(left_rotation(_lowerCamelCase ) )
			return right_rotation(_lowerCamelCase )







def 					_a						(       _lowerCamelCase ) ->				MyNode:



			"""simple docstring"""


			__snake_case					:      Optional[int]							      =     node.get_right()
			assert right_child is not None
			node.set_right(right_rotation(_lowerCamelCase ) )
			return left_rotation(_lowerCamelCase )







def 					_a						(       _lowerCamelCase    ,	_lowerCamelCase ) ->				MyNode | None:



			"""simple docstring"""


			if node is None:
						return MyNode(_lowerCamelCase )
			if data < node.get_data():
						node.set_left(insert_node(node.get_left()    ,	_lowerCamelCase ) )
						if (
						    get_height(node.get_left() ) - get_height(node.get_right() ) == 2
						):  # an unbalance detected
									__snake_case					:      Union[str, Any]							      =     node.get_left()
									assert left_child is not None
									if (
									    data < left_child.get_data()
									):  # new node is the left child of the left child
												__snake_case					:      Any							      =     right_rotation(_lowerCamelCase )
									else:
												__snake_case					:      Tuple							      =     lr_rotation(_lowerCamelCase )
			else:
						node.set_right(insert_node(node.get_right()    ,	_lowerCamelCase ) )
						if get_height(node.get_right() ) - get_height(node.get_left() ) == 2:
									__snake_case					:      Optional[int]							      =     node.get_right()
									assert right_child is not None
									if data < right_child.get_data():
												__snake_case					:      Optional[int]							      =     rl_rotation(_lowerCamelCase )
									else:
												__snake_case					:      Tuple							      =     left_rotation(_lowerCamelCase )
			__snake_case					:      Optional[Any]							      =     my_max(get_height(node.get_right() )    ,	get_height(node.get_left() ) ) + 1
			node.set_height(_lowerCamelCase )
			return node







def 					_a						(       _lowerCamelCase ) ->				Any:



			"""simple docstring"""


			while True:
						__snake_case					:      Dict							      =     root.get_right()
						if right_child is None:
									break
						__snake_case					:      List[Any]							      =     right_child
			return root.get_data()







def 					_a						(       _lowerCamelCase ) ->				Any:



			"""simple docstring"""


			while True:
						__snake_case					:      Optional[Any]							      =     root.get_left()
						if left_child is None:
									break
						__snake_case					:      int							      =     left_child
			return root.get_data()







def 					_a						(       _lowerCamelCase    ,	_lowerCamelCase ) ->				MyNode | None:



			"""simple docstring"""


			__snake_case					:      int							      =     root.get_left()
			__snake_case					:      int							      =     root.get_right()
			if root.get_data() == data:
						if left_child is not None and right_child is not None:
									__snake_case					:      Tuple							      =     get_left_most(_lowerCamelCase )
									root.set_data(_lowerCamelCase )
									root.set_right(del_node(_lowerCamelCase    ,	_lowerCamelCase ) )
						elif left_child is not None:
									__snake_case					:      Optional[int]							      =     left_child
						elif right_child is not None:
									__snake_case					:      str							      =     right_child
						else:
									return None
			elif root.get_data() > data:
						if left_child is None:
									print("""No such data""" )
									return root
						else:
									root.set_left(del_node(_lowerCamelCase    ,	_lowerCamelCase ) )
			else:  # root.get_data() < data
						if right_child is None:
									return root
						else:
									root.set_right(del_node(_lowerCamelCase    ,	_lowerCamelCase ) )

			if get_height(_lowerCamelCase ) - get_height(_lowerCamelCase ) == 2:
						assert right_child is not None
						if get_height(right_child.get_right() ) > get_height(right_child.get_left() ):
									__snake_case					:      Optional[Any]							      =     left_rotation(_lowerCamelCase )
						else:
									__snake_case					:      str							      =     rl_rotation(_lowerCamelCase )
			elif get_height(_lowerCamelCase ) - get_height(_lowerCamelCase ) == -2:
						assert left_child is not None
						if get_height(left_child.get_left() ) > get_height(left_child.get_right() ):
									__snake_case					:      List[Any]							      =     right_rotation(_lowerCamelCase )
						else:
									__snake_case					:      List[str]							      =     lr_rotation(_lowerCamelCase )
			__snake_case					:      List[Any]							      =     my_max(get_height(root.get_right() )    ,	get_height(root.get_left() ) ) + 1
			root.set_height(_lowerCamelCase )
			return root




class  _A :

		def __init__(   self					:   int			)					->    None:


					"""simple docstring"""

					__snake_case					:      MyNode | None							      =     None

		def 	lowercase__     (   self					:   Dict			)					->    int:


					"""simple docstring"""

					return get_height(self.root			)

		def 	lowercase__     (   self					:   Tuple  ,      __magic_name__					:   Any			)					->    None:


					"""simple docstring"""

					print("""insert:""" + str(__magic_name__			)			)
					__snake_case					:      Optional[Any]							      =     insert_node(self.root  ,      __magic_name__			)

		def 	lowercase__     (   self					:   Dict  ,      __magic_name__					:   Any			)					->    None:


					"""simple docstring"""

					print("""delete:""" + str(__magic_name__			)			)
					if self.root is None:
								print("""Tree is empty!"""			)
								return
					__snake_case					:      str							      =     del_node(self.root  ,      __magic_name__			)

		def __str__(   self					:   Dict  ,      )					->    str:  # a level traversale, gives a more intuitive look on the tree


					"""simple docstring"""

					__snake_case					:      List[Any]							      =     """"""
					__snake_case					:      int							      =     MyQueue()
					q.push(self.root			)
					__snake_case					:      int							      =     self.get_height()
					if layer == 0:
								return output
					__snake_case					:      Any							      =     0
					while not q.is_empty():
								__snake_case					:      Optional[int]							      =     q.pop()
								__snake_case					:      Optional[int]							      =     """ """ * int(math.pow(2  ,      layer - 1			)			)
								output += space
								if node is None:
											output += "*"
											q.push(__magic_name__			)
											q.push(__magic_name__			)
								else:
											output += str(node.get_data()			)
											q.push(node.get_left()			)
											q.push(node.get_right()			)
								output += space
								__snake_case					:      Tuple							      =     cnt + 1
								for i in range(1_00			):
											if cnt == math.pow(2  ,      __magic_name__			) - 1:
														__snake_case					:      Tuple							      =     layer - 1
														if layer == 0:
																	output += "\n*************************************"
																	return output
														output += "\n"
														break
					output += "\n*************************************"
					return output







def 					_a						(       ) ->				None:



			"""simple docstring"""


			import doctest

			doctest.testmod()


if __name__ == "__main__":
	_test()
	__UpperCamelCase					    =	AVLtree()
	__UpperCamelCase					    =	list(range(10))
	random.shuffle(lst)
	for i in lst:
		t.insert(i)
		print(str(t))
	random.shuffle(lst)
	for i in lst:
		t.del_node(i)
		print(str(t))









import argparse

from transformers import BigBirdConfig, BigBirdForPreTraining, BigBirdForQuestionAnswering, load_tf_weights_in_big_bird
from transformers.utils import logging


logging.set_verbosity_info()


def       UpperCamelCase__(			UpperCamelCase__     :			Any					,	UpperCamelCase__     :			Optional[Any]					,	UpperCamelCase__     :			Dict					,	UpperCamelCase__     :			int    )->Union[str, Any]:
       # Initialise PyTorch model
       A__		   =		BigBirdConfig.from_json_file(UpperCamelCase__    )
       print(f"Building PyTorch model from configuration: {config}"    )

       if is_trivia_qa:
              A__		   =		BigBirdForQuestionAnswering(UpperCamelCase__    )
       else:
              A__		   =		BigBirdForPreTraining(UpperCamelCase__    )

       # Load weights from tf checkpoint
       load_tf_weights_in_big_bird(UpperCamelCase__					,	UpperCamelCase__					,	is_trivia_qa=UpperCamelCase__    )

       # Save pytorch-model
       print(f"Save PyTorch model to {pytorch_dump_path}"    )
       model.save_pretrained(UpperCamelCase__    )


if __name__ == "__main__":
       a__: Optional[int]							   =						argparse.ArgumentParser()
       # Required parameters
       parser.add_argument(
           '--tf_checkpoint_path', default=None, type=str, required=True, help='Path to the TensorFlow checkpoint path.'
       )
       parser.add_argument(
           '--big_bird_config_file',
           default=None,
           type=str,
           required=True,
           help=(
               'The config json file corresponding to the pre-trained BERT model. \n'
               'This specifies the model architecture.'
           ),
       )
       parser.add_argument(
           '--pytorch_dump_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
       )
       parser.add_argument(
           '--is_trivia_qa', action='store_true', help='Whether to convert a model with a trivia_qa head.'
       )
       a__: Tuple							   =						parser.parse_args()
       convert_tf_checkpoint_to_pytorch(
           args.tf_checkpoint_path, args.big_bird_config_file, args.pytorch_dump_path, args.is_trivia_qa
       )





