






from collections.abc import Iterable
from typing import Any




class 				__A     :





				"""simple docstring"""







				def __init__( self							,  lowerCamelCase__ = None    ):




									"""simple docstring"""

									__UpperCamelCase      :					Optional[Any]       		=value
									__UpperCamelCase      :					Node | None       		=None  # Added in order to delete a node easier
									__UpperCamelCase      :					Node | None       		=None
									__UpperCamelCase      :					Node | None       		=None







				def __repr__( self    ):




									"""simple docstring"""

									from pprint import pformat

									if self.left is None and self.right is None:
														return str(self.value    )
									return pformat({f'{self.value}': (self.left, self.right)}							,  indent=1    )




class 				__A     :





				"""simple docstring"""







				def __init__( self							,  lowerCamelCase__ = None    ):




									"""simple docstring"""

									__UpperCamelCase      :					List[str]       		=root


				def __str__( self    ):




									"""simple docstring"""

									return str(self.root    )


				def       __lowercase							( self							,  lowerCamelCase__							,  lowerCamelCase__    ):




									"""simple docstring"""

									if new_children is not None:  # reset its kids
														__UpperCamelCase      :					Optional[int]       		=node.parent
									if node.parent is not None:  # reset its parent
														if self.is_right(_UpperCAmelCase    ):  # If it is the right children
																			__UpperCamelCase      :					str       		=new_children
														else:
																			__UpperCamelCase      :					List[Any]       		=new_children
									else:
														__UpperCamelCase      :					int       		=new_children


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

									if node.parent and node.parent.right:
														return node == node.parent.right
									return False


				def       __lowercase							( self    ):




									"""simple docstring"""

									return self.root is None


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

									__UpperCamelCase      :					Optional[Any]       		=Node(_UpperCAmelCase    )  # create a new Node
									if self.empty():  # if Tree is empty
														__UpperCamelCase      :					List[Any]       		=new_node  # set its root
									else:  # Tree is not empty
														__UpperCamelCase      :					Any       		=self.root  # from root
														if parent_node is None:
																			return
														while True:  # While we don't get to a leaf
																			if value < parent_node.value:  # We go left
																								if parent_node.left is None:
																													__UpperCamelCase      :					Optional[Any]       		=new_node  # We insert the new node in a leaf
																													break
																								else:
																													__UpperCamelCase      :					List[Any]       		=parent_node.left
																			else:
																								if parent_node.right is None:
																													__UpperCamelCase      :					Any       		=new_node
																													break
																								else:
																													__UpperCamelCase      :					Optional[Any]       		=parent_node.right
														__UpperCamelCase      :					str       		=parent_node


				def       __lowercase							( self							,  *lowerCamelCase__    ):




									"""simple docstring"""

									for value in values:
														self.__insert(_UpperCAmelCase    )


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

									if self.empty():
														raise IndexError('Warning: Tree is empty! please use another.'    )
									else:
														__UpperCamelCase      :					Dict       		=self.root
														# use lazy evaluation here to avoid NoneType Attribute error
														while node is not None and node.value is not value:
																			__UpperCamelCase      :					Tuple       		=node.left if value < node.value else node.right
														return node


				def       __lowercase							( self							,  lowerCamelCase__ = None    ):




									"""simple docstring"""

									if node is None:
														if self.root is None:
																			return None
														__UpperCamelCase      :					Dict       		=self.root

									if not self.empty():
														while node.right is not None:
																			__UpperCamelCase      :					Optional[int]       		=node.right
									return node


				def       __lowercase							( self							,  lowerCamelCase__ = None    ):




									"""simple docstring"""

									if node is None:
														__UpperCamelCase      :					Optional[Any]       		=self.root
									if self.root is None:
														return None
									if not self.empty():
														__UpperCamelCase      :					List[str]       		=self.root
														while node.left is not None:
																			__UpperCamelCase      :					int       		=node.left
									return node


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

									__UpperCamelCase      :					Any       		=self.search(_UpperCAmelCase    )  # Look for the node with that label
									if node is not None:
														if node.left is None and node.right is None:  # If it has no children
																			self.__reassign_nodes(_UpperCAmelCase							,  _UpperCAmelCase    )
														elif node.left is None:  # Has only right children
																			self.__reassign_nodes(_UpperCAmelCase							,  node.right    )
														elif node.right is None:  # Has only left children
																			self.__reassign_nodes(_UpperCAmelCase							,  node.left    )
														else:
																			__UpperCamelCase      :					Optional[int]       		=self.get_max(
																			    node.left    )  # Gets the max value of the left branch
																			self.remove(tmp_node.value    )  # type: ignore
																			__UpperCamelCase      :					Any       		=(
																			    tmp_node.value  # type: ignore
																			)  # Assigns the value to the node to delete and keep tree structure


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

									if node is not None:
														yield node  # Preorder Traversal
														yield from self.preorder_traverse(node.left    )
														yield from self.preorder_traverse(node.right    )


				def       __lowercase							( self							,  lowerCamelCase__=None    ):




									"""simple docstring"""

									if traversal_function is None:
														return self.preorder_traverse(self.root    )
									else:
														return traversal_function(self.root    )


				def       __lowercase							( self							,  lowerCamelCase__							,  lowerCamelCase__    ):




									"""simple docstring"""

									if node:
														self.inorder(_UpperCAmelCase							,  node.left    )
														arr.append(node.value    )
														self.inorder(_UpperCAmelCase							,  node.right    )







				def       __lowercase							( self							,  lowerCamelCase__							,  lowerCamelCase__    ):




									"""simple docstring"""

									__UpperCamelCase      :					list[int]       		=[]
									self.inorder(_UpperCAmelCase							,  _UpperCAmelCase    )  # append all values to list using inorder traversal
									return arr[k - 1]






def 							A     (       a_					)     ->						list[Node]:
					__UpperCamelCase      :					str       		=[]
					if curr_node is not None:
										__UpperCamelCase      :					Union[str, Any]       		=postorder(curr_node.left					) + postorder(curr_node.right					) + [curr_node]
					return node_list






def 							A     (       )     ->						None:
					__UpperCamelCase      :					str       		=(8, 3, 6, 1, 10, 14, 13, 4, 7)
					__UpperCamelCase      :					Tuple       		=BinarySearchTree()
					for i in testlist:
										t.insert(__snake_case					)

					# Prints all the elements of the list in order traversal
					print(__snake_case					)

					if t.search(6					) is not None:
										print('The value 6 exists'					)
					else:
										print('The value 6 doesn\'t exist'					)

					if t.search(-1					) is not None:
										print('The value -1 exists'					)
					else:
										print('The value -1 doesn\'t exist'					)

					if not t.empty():
										print('Max Value: '							,t.get_max().value					)  # type: ignore
										print('Min Value: '							,t.get_min().value					)  # type: ignore

					for i in testlist:
										t.remove(__snake_case					)
										print(__snake_case					)


if __name__ == "__main__":
							import doctest

							doctest.testmod(verbose=True)








'''simple docstring'''




import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing


class  SCREAMING_SNAKE_CASE    (a__							):


     def __init__(						self						,	_UpperCAmelCase = "▁"						,	_UpperCAmelCase = True						,	_UpperCAmelCase = "<unk>"						,	_UpperCAmelCase = "</s>"						,	_UpperCAmelCase = "<pad>"						,	):

          '''simple docstring'''






          __A						: Dict      =       {
              'pad': {'id': 0, 'token': pad_token},
              'eos': {'id': 1, 'token': eos_token},
              'unk': {'id': 2, 'token': unk_token},
          }

          __A						: List[Any]      =       [None] * len(self.special_tokens)
          for token_dict in self.special_tokens.values():
               __A						: List[str]      =       token_dict['token']

          __A						: str      =       Tokenizer(Unigram())

          __A						: Dict      =       normalizers.Sequence(
              [
                  normalizers.Nmt(),
                  normalizers.NFKC(),
                  normalizers.Replace(Regex(' {2,}')						,	' '),
                  normalizers.Lowercase(),
              ])
          __A						: Union[str, Any]      =       pre_tokenizers.Sequence(
              [
                  pre_tokenizers.Metaspace(replacement=_UpperCAmelCase						,	add_prefix_space=_UpperCAmelCase),
                  pre_tokenizers.Digits(individual_digits=_UpperCAmelCase),
                  pre_tokenizers.Punctuation(),
              ])
          __A						: Any      =       decoders.Metaspace(replacement=_UpperCAmelCase						,	add_prefix_space=_UpperCAmelCase)

          __A						: Dict      =       TemplateProcessing(
              single=F'$A {self.special_tokens["eos"]["token"]}'						,	special_tokens=[(self.special_tokens['eos']['token'], self.special_tokens['eos']['id'])]						,	)

          __A						: Any      =       {
              'model': 'SentencePieceUnigram',
              'replacement': replacement,
              'add_prefix_space': add_prefix_space,
          }

          super().__init__(_UpperCAmelCase						,	_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self						,	_UpperCAmelCase						,	_UpperCAmelCase = 8000						,	_UpperCAmelCase = True						,	):

          '''simple docstring'''






          __A						: str      =       trainers.UnigramTrainer(
              vocab_size=_UpperCAmelCase						,	special_tokens=self.special_tokens_list						,	show_progress=_UpperCAmelCase						,	)

          if isinstance(_UpperCAmelCase						,	_UpperCAmelCase):
               __A						: Union[str, Any]      =       [files]
          self._tokenizer.train(_UpperCAmelCase						,	trainer=_UpperCAmelCase)

          self.add_unk_id()


     def 							SCREAMING_SNAKE_CASE  (						self						,	_UpperCAmelCase						,	_UpperCAmelCase = 8000						,	_UpperCAmelCase = True						,	):

          '''simple docstring'''






          __A						: Dict      =       trainers.UnigramTrainer(
              vocab_size=_UpperCAmelCase						,	special_tokens=self.special_tokens_list						,	show_progress=_UpperCAmelCase						,	)

          self._tokenizer.train_from_iterator(_UpperCAmelCase						,	trainer=_UpperCAmelCase)

          self.add_unk_id()


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Any      =       json.loads(self._tokenizer.to_str())

          __A						: Union[str, Any]      =       self.special_tokens['unk']['id']

          __A						: str      =       Tokenizer.from_str(json.dumps(_UpperCAmelCase))